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Field Crops Research 136 (2012) 32–41 
Contents lists available at SciVerse ScienceDirect 
Field Crops Research 
jou rnal h om epage: www.elsevier.com/locate/fcr 
Long-term effect of nutrient management on soil fertility and soil organic carbon 
pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of 
subtropical India 
P.C. Moharana, B.M. Sharma, D.R. Biswas∗, B.S. Dwivedi, R.V. Singh 
Division of Soil Science and Agricultural Chemistry, Indian Agricultural Research Institute, New Delhi 110012, India 
a r t i c l e i n f o 
Article history: 
Received 18 May 2012 
Received in revised form 29 June 2012 
Accepted 2 July 2012 
Keywords: 
Soil fertility 
Soil organic carbon pools 
Nutrient management 
Carbon management index 
Pearl millet–wheat cropping system 
a b s t r a c t 
We studied the long-term effect of nutrient management on soil fertility and soil organic carbon (SOC) 
pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of subtropical India. Sig-nificant 
build-up in soil fertility in terms of alkaline KMnO4-N, Olsen-P, NH4OAc-K and CaCl2-S as well 
as SOC pools namely, total organic carbon (TOC), Walkley and Black organic carbon (WBC), labile organic 
carbon (LBC) and microbial biomass carbon (MBC) were maintained under FYM and integrated nutrient 
management involving FYM and NPK than unfertilized control plot in 0–15 and 15–30 cm soil depths. The 
highest values of TOC (11.48 g kg−1) and WBC (7.86 g kg−1) were maintained in FYM treated plot, while 
the highest values of LBC (1.36 g kg−1) and MBC (273 mg kg−1) were found in FYM + NPK. The magnitude of 
change in pools of SOC in sub-surface (15–30 cm) soil was low as compared to the surface soil (0–15 cm). 
Significant increase in all the pools of SOC in FYM treated plots indicates the importance of application of 
organic manure like FYM in maintaining organic carbon in soil. Highly strong relationships were exhibited 
between LBC and MBC with yield, indicating that these pools are more important for nutrient turn-over 
and their availability to plants than total SOC. Carbon management index revealed that integrated nutri-ent 
management could be followed for enhancing crop productivity, nutrient availability and soil carbon 
pools for long-term. These results conclude that for sustainable crop production and maintaining soil 
quality, input of organic manure like FYM is of major importance and should be advocated in the nutrient 
management of intensive cropping system for improving soil fertility and biological properties of soils. 
© 2012 Elsevier B.V. All rights reserved. 
1. Introduction 
Soil organic carbon (SOC) is the most important component in 
maintaining soil quality because of its role in improving physi-cal, 
chemical and biological properties of the soil. Stagnation or 
decline in yields has been observed in intensive cropping systems in 
recent times all over the world and India in particular. The reasons 
ascribed to this phenomenon are quality and quantity of SOC and its 
impact on nutrient supply (Bhandari et al., 2002; Ladha et al., 2003). 
The level of SOC at a point of time reflects the long-term balance 
between addition and losses of SOC, particularly carbon and nitro-gen, 
under continuous cultivation (Dalal and Mayer, 1986; Dawe 
et al., 2003; Manna et al., 2005). Changes in agricultural practices 
often influence both quantity and quality of SOC and its turn-over 
rates. Application of manure is a common management practice 
that improves the fertility status of soil and SOC level. As the turn-over 
of SOC is of paramount importance for sustaining soil quality 
∗ Corresponding author. Tel.: +91 11 25841494/965; fax: +91 11 25841529. 
E-mail address: drb ssac@yahoo.com (D.R. Biswas). 
and long-term productivity of agricultural systems, measurements 
of changes in SOC under various nutrient management practices 
in intensive cropping system are the need of the day. In addition 
to total SOC, it is also important to determine active carbon frac-tions 
in soil (Lal, 1994). Small changes in total SOC are difficult to 
detect because of large background levels and natural variability 
(Blair et al., 1995; Carter, 2002). Intensive cultivation can decline 
both total and labile organic carbon in soil (Blair, 2000). Thus, reg-ular 
additions of organic materials to soil are required to improve 
and maintain SOC pools as well as to help in governing nutrient 
fluxes, microbial biomass and their activities and improvement in 
soil physical properties (Marinari et al., 2000). 
Labile organic carbon is sensitive to soil management practices 
and thus provides the better management of carbon dynamics in 
short-term to medium-term effect than total carbon alone. Soil 
organic carbon refers to the sum total of different heterogeneous 
organic substances, which may be simply divided into stable and 
labile organic carbon fractions (Wander, 2004). Stable SOC fractions 
are relatively resistant to decompose, take longer time to turn-over 
and do not take part in several nutrient cycling. However, labile SOC 
fractions are readily accessible source of microorganisms, turn-over 
0378-4290/$ – see front matter © 2012 Elsevier B.V. All rights reserved. 
http://dx.doi.org/10.1016/j.fcr.2012.07.002
P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 33 
rapidly (weeks or months) and have impact on plant nutrient sup-ply. 
Labile SOC fractions could indicate changes in soil quality due 
to management practices more rapidly than measuring changes in 
the magnitude of total SOC (Ding et al., 2006). Some of the impor-tant 
labile pools of SOC currently used as indicators of soil quality 
are microbial biomass carbon (MBC), mineralizable organic car-bon 
(Cmin), particulate organic carbon (POC) and KMnO4-oxidizable 
labile organic carbon (LBC). Highly recalcitrant or passive pool of 
SOC is very slowly altered by microbial activities and hence hardly 
serves as a good indicator for judging soil quality. 
Pearl millet–wheat cropping system is the second most impor-tant 
system after rice–wheat in Indo-Gangetic Plain of India (Kumar 
et al., 2005). This cropping system is followed in an estimated 
area of 2.26 million ha in India (Yadav and Subba Rao, 2002). It 
is being increasingly realized that when crops are grown in sys-tem, 
the fertilizer requirements of the cropping system as a whole 
is important than that of the individual crop (Sharma and Singh, 
2003). The soil fertility status and their availability to plants are 
strongly affected by nutrient management practices and cropping 
systems (Bhandari et al., 2002; Kundu et al., 2002). The loss of soil 
fertility, in many developing countries, due to continuous nutri-ent 
depletion by crops without adequate replenishment poses an 
immediate threat to food and environmental securities. There is 
a need to revive the age-old practice of application of farmyard 
manure (FYM) to maintain soil fertility and also to supplement 
many essential plant nutrients for crop productivity. The fertilizer 
recommendations based on targeted yield equations have been 
well established in India through number of follow-up trials and 
frontline demonstrations (Subba Rao and Srivastava, 2001). How-ever, 
information on long-term effect of these recommendations 
used with or without FYM in a pearl millet–wheat cropping system 
on soil fertility and different pools of SOC is limited. Keeping these 
points in mind, the present field experiment was conducted to see 
the long-term effect of soil fertility and pools of soil organic carbon 
as influenced by nutrient management with FYM and chemical fer-tilizers 
applied either alone or in combination under a 6-year-old 
pearl millet–wheat cropping system. We hypothesized that long-term 
application of carbon through FYM and N, P and K through 
fertilizers will have distinct effects on the soil fertility, nutrient 
availability and soil organic carbon pools under a 6-year-old pearl 
millet–wheat cropping system in an Inceptisol of subtropical India. 
2. Materials and methods 
2.1. Site descriptions 
The present field experiment on pearl millet–wheat cropping 
system was initiated in monsoon 2003 at the research farm of 
Indian Agricultural Research Institute (IARI), New Delhi under the 
network of All India Coordinated Research Project (AICRP) on Soil 
Test Crop Response (STCR) Correlation Studies. The experimental 
field is located at 28.4◦N latitude, 77.1◦E longitude and at an ele-vation 
of about 250 m above the mean sea level. The climate of 
the experimental site is semi-arid with hot and dry summer and 
severe cold winter intervened by short monsoon period of 2–3 
months spreading from July to September. On the basis of 30 years 
climatic data, the mean maximum temperature, minimum temper-ature 
and rainfall are 31.2 ◦C, 17.0 ◦C and 821 mm, respectively. The 
experimental area represents Indo-Gangetic Plains which belongs 
to Mehrauli series. The soil is Inceptisol having sandy loam texture, 
alkaline reaction and free from salinity occurring on nearly level to 
very gently sloping land. Soil structure is sub-angular blocky. Clay 
mineralogy is dominated by illite along with presence of kaolinite, 
chlorite and chloritized montmorillonite. Taxonomically it belongs 
to Typic Haplustept. 
2.2. Experimental design and treatments 
The field experiment on pearl millet–wheat cropping system 
was designed under AICRP-STCR with three different nutrient man-agement 
practices along with a control in a randomized block 
design with four replications. The treatments selected for this study 
consisted of (i) unfertilized/unmanured control (Control); (ii) FYM 
alone @ 20 Mg ha−1 to each crop (FYM); (iii) STCR-based fertil-izer 
NPK alone for grain yield target of 2.5 Mg ha−1 of pearl millet 
and 5.0 Mg ha−1 of wheat (NPK); and (iv) STCR-based integrated 
use of 10 Mg ha−1 of FYM + fertilizer NPK for grain yield target of 
2.5 Mg ha−1 of pearl millet and 5.0 Mg ha−1 of wheat (FYM + NPK). 
The purpose of selecting FYM alone was to investigate the long-term 
use of organic manure alone on yield and soil productivity. 
Application of FYM @ 20 Mg ha−1 was adopted so as to provide 
100 kg N ha−1. The treatments, NPK fertilizer alone and FYM + NPK 
were selected to investigate the effect of STCR-based fertilizer NPK 
management (i.e. fertilizers only) and STCR-based integrated man-agement 
of FYM + fertilizers NPK on soil available nutrient and 
pools of SOC at the same level of targeted yield production as 
established by Ramamoorthy et al. (1967). In the present field 
experiment, the soil test based fertilizer adjustment equations with 
and without FYM for targeted levels of grain production of pearl 
millet (2.5 Mg ha−1) and wheat (5.0 Mg ha−1) grown in sequence 
for 6 years as developed by Sharma and Singh (2003) under AICRP 
on Soil Test Crop Response Correlation at IARI, New Delhi were 
used for fertilizer management in NPK and FYM + NPK treatments, 
respectively. The following fertilizer adjustment equations were 
used for calculation of inputs of nutrients from fertilizers and FYM: 
Fertilizer adjustment equations for pearl millet 
Without FYM With FYM 
FN = 69.7 T 
− 
0.36 SN FN = 53.5 T 
− 
0.29 SN 
− 
2.23 FYM 
FP2O5 = 57.3 T 
− 
4.81 SP FP2O5 = 47.2 T 
− 
3.29 SP 
− 
2.48 FYM 
FK2O = 39.2 T 
− 
0.28 SK FK2O = 28.8 T 
− 
0.17 SK 
− 
1.35 FYM 
Fertilizer adjustment equations for wheat 
Without FYM With FYM 
FN = 43.0 T 
− 
0.44 SN FN = 38.5 T 
− 
0.41 SN 
− 
1.64 FYM 
FP2O5 = 37.9 T 
− 
6.02 SP FP2O5 = 27.8 T 
− 
4.12 SP 
− 
1.72 FYM 
FK2O = 23.4 T 
− 
0.33 SK FK2O = 20.4 T 
− 
0.29 SK 
− 
0.88 FYM 
where FN, FP2O5 and FK2O stand for fertilizer rate (kg ha−1) of N, 
P2O5 and K2O, respectively; SN, SP and SK stand for soil test values 
(kg ha−1) for KMnO4-N (Subbiah and Asija, 1956), Olsen-P (Olsen 
et al., 1954) and NH4OAc-K (Hanway and Heidel, 1952), respec-tively; 
FYM stands for dose of farmyard manure (Mg ha−1) and T 
denotes the targeted yield (Mg ha−1). Based on the above equa-tions, 
the inputs of nutrients from fertilizers and FYM under each 
treatment are presented year-wise in Table 1. 
2.3. Soil sampling and crop management 
Prior to start of the experiment, two exhaustive crops namely, 
pearl millet during monsoon and wheat during winter season 
were grown to bring the uniformity in soil fertility in the field. 
After harvesting the second exhaustive crop of wheat, the com-posite 
initial soil samples from surface (0–15 cm) and sub-surface 
(15–30 cm) layer were collected and analyzed for physicochemical 
properties. The field was divided into four equal size strips and 
each strip was divided into four equal size plots of 20 m 
× 
4 m each. 
The treatments were distributed randomly using a randomized 
block design. Before application of fertilizer doses in each crop, 
plot-wise soil samples from 0 to 15 cm and 15 to 30 cm depth 
were collected and analyzed for available N, P and K status and 
soil test based fertilizer doses for NPK and FYM + NPK treatments 
were calculated from the fertilizer adjustment equations for pearl 
millet and wheat as mentioned earlier. The pearl millet (cv Pusa 
383) and wheat (cv HD 2687) were grown in sequence for 6 years
34 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 
Table 1 
Year-wise input of nutrients from fertilizers and FYM under each treatment in a 6-year-old pearl millet–wheat cropping system using targeted yield equations. 
Year Treatments 
Control FYM (Mg ha−1) NPK NPK + FYM 
N (kg ha−1) P2O5 (kg ha−1) K2O (kg ha−1) N (kg ha−1) P2O5 (kg ha−1) K2O (kg ha−1) FYM (Mg ha−1) 
Pearl millet 
2003 0 20.0 108.0 36.5 45.8 59.3 19.8 26.6 10.0 
2004 0 20.0 109.8 27.8 43.5 53.6 11.9 26.5 10.0 
2005 0 20.0 110.7 21.1 44.0 52.7 11.9 26.2 10.0 
2006 0 20.0 111.6 15.5 42.8 50.0 7.7 23.6 10.0 
2007 0 20.0 111.3 17.7 44.2 50.0 5.4 23.7 10.0 
2008 0 20.0 110.9 12.3 43.4 50.0 1.4 22.7 10.0 
Wheat 
2003–04 0 20.0 134.9 47.3 53.1 100.7 18.0 38.0 10.0 
2004–05 0 20.0 136.7 43.2 52.5 93.3 21.7 37.8 10.0 
2005–06 0 20.0 137.6 33.0 51.2 93.3 20.0 25.8 10.0 
2006–07 0 20.0 138.0 25.8 51.0 88.8 10.6 30.9 10.0 
2007–08 0 20.0 139.3 25.8 49.8 88.4 8.9 28.2 10.0 
2008–09 0 20.0 139.3 23.3 49.4 88.0 8.9 27.7 10.0 
with the same treatments. Fertilizer materials used were urea, 
diammonium phosphate (DAP) and muriate of potash (MOP). 
Half quantity of N and full quantities of P and K were applied as 
basal in both the crops by broadcasting followed by mixing by 
disc plough. Remaining half of N was applied as top-dressing at 
knee-height stage (45 days after sowing) in pearl millet and at 
panicle emergence (55 days after sowing) in wheat. Irrigation and 
other agronomic practices were carried out as and when required. 
2.4. Soil analysis 
The initial soil samples from surface (0–15 cm) and sub-surface 
(15–30 cm) were analyzed for mechanical composition, pH, elec-tric 
conductivity (EC), cation exchange capacity (CEC), bulk density 
(BD), organic carbon and available nutrients (N, P, K and S) following 
standard procedures. The physicochemical properties of the initial 
soil under study are presented in Table 2. 
After completion of six cropping cycles of pearl millet–wheat, 
soil samples from surface (0–15 cm) and sub-surface (15–30 cm) 
were collected. In each plot the soil was collected from ten points 
randomly, and mixed into one sample. After carefully removing 
the surface organic materials and fine roots, each mixed soil sam-ple 
was divided into two parts. One part of the fresh soil sample 
(∼100 g) was sieved through a 2-mm screen and immediately kept 
in a refrigerator at 4 ◦C in plastic bags for a few days to stabilize 
the microbiological activity and subsequently analyzed for biologi-cal 
properties. The other part of the sample was air-dried in shade, 
ground to pass through a 2-mm sieve and used for the estimation 
of soil chemical properties. 
The alkaline potassium permanganate oxidizable soil N 
(KMnO4-N) as an index of available N was determined as per 
the procedure given by Subbiah and Asija (1956). Olsen-P was 
extracted with 0.5 M sodium bicarbonate (pH 8.5) as outlined by 
(Olsen et al., 1954) and the P content in the extract was deter-mined 
using ascorbic acid as reducing agent (Watanabe and Olsen, 
1965) by a spectrophotometer. Available potassium (NH4OAc-K) 
was extracted with neutral 1 N ammonium acetate (Hanway and 
Heidel, 1952) and estimated by a flame photometer; while available 
sulphur (CaCl2-S) was determined by extracting the soil sample 
with 0.15% CaCl2 (Williams and Steinbergs, 1959) and sulphur con-tent 
in the extract was estimated by turbidimetric method (Chesnin 
and Yien, 1950). 
Total organic carbon (TOC) in soil was determined by wet oxida-tion 
method (Snyder and Trofymow, 1984). While, organic carbon 
content was determined by wet oxidation method of Walkley and 
Black (1934). The Walkley and Black method is based on oxidation 
of organic matter by K2Cr2O7 with H2SO4 heat of dilution. Some-what 
less of the total organic matter is oxidized by this method, 
because the heating obtained by the H2SO4 dilution is less and 
thus Walkley–Black method tends to underestimate SOC concen-trations. 
Studies have shown that the recovery of organic C using 
the Walkley and Black procedure ranged from 60 to 86% with a 
mean recovery being 76% as a result of the incomplete oxidation 
(Walkley and Black, 1934). To overcome the concern of incom-plete 
digestion of the organic matter, TOC in soil is determined by 
Table 2 
Physicochemical properties and fertility status of the experimental soil before commencing the study. 
Soil characteristics Soil depth Method followed 
0–15 cm 15–30 cm 
Mechanical composition Bouyoucos (1962) 
Sand (%) 56.5 56.4 
Silt (%) 25.0 26.0 
Clay (%) 18.5 17.6 
Texture Sandy loam Sandy loam 
pH 8.44 8.44 Jackson (1973) 
EC (dS m−1) 0.32 0.25 Jackson (1973) 
Bulk density (Mg m−3) 1.59 1.72 Veihmeyer and Hendrickson (1948) 
Organic carbon (g kg−1) 5.2 2.6 Walkley and Black (1934) 
CEC [cmol(p+) kg−1 soil] 10.7 6.15 Jackson (1973) 
KMnO4-N (kg ha−1) 183 168 Subbiah and Asija (1956) 
Olsen-P (kg ha−1) 22.4 6.3 Olsen et al. (1954) 
NH4OAc-K (kg ha−1) 188 134 Hanway and Heidel (1952) 
CaCl2-S (kg ha−1) 10.6 8.2 Williams and Steinbergs (1959)
P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 35 
wet oxidation method (Snyder and Trofymow, 1984) where organic 
matter in the sample is converted to CO2 which is then quantified. 
For this, air-dried sample of soil (1.0 g, 1-mm sieve) was pre-treated 
with 3.0 ml of 2 N HCl to remove carbonates, then soil was oxidized 
with potassium dichromate (K2Cr2O7) in presence of 25 ml of mix-ture 
of concentrated H2SO4 and H3PO4 in a ratio of 3:2 by heating on 
a digestion block at 120 
± 
1 ◦C for 2 h. The evolved CO2 was trapped 
in 2 N NaOH and amount of CO2 (entrapped) was measured by back 
titration with 0.5 N HCl using phenolphthalein as indicator. Total 
carbon content was computed based on the amount of CO2 evolved. 
Microbial biomass carbon (MBC) was estimated by the 
chloroform-fumigation incubation method of Jenkinson and 
Powlson (1976). Sample of soil (10.0 g) rewetted to 40–60% WHC 
(water holding capacity) was fumigated with ethanol-free chloro-form 
(CHCl3) in a vacuum desiccator. Following fumigant removal, 
the soil was extracted with 0.5 M K2SO4 (soil:solution ratio of 
1:2.5) through 30 min horizontal shaking at 200 rpm and filtered. A 
duplicate soil sample without fumigation (unfumigated) was also 
extracted with 0.5 M K2SO4 in a similar fashion. Both the extracts 
of fumigated and unfumigated soil were subjected to wet oxida-tion 
separately with potassium persulphate and 0.025 N H2SO4 by 
heating on a digestion block at 120 
± 
1 ◦C for 2 h. Evolved CO2 was 
then trapped in 0.1 N NaOH solution. The amount of CO2 evolved 
was determined by back titration with 0.05 N HCl. The MBC was 
computed by subtracting the amount of CO2 evolved in fumigated 
soil from that of unfumigated one. A sub-sample of soil was drawn 
for moisture determination so as to express the data on oven dry 
weight basis. The amount of the MBC in soil was calculated as fol-lows: 
Microbial biomass carbon 
= OCF − 
OCUF 
KEC 
where OCF and OCUF are the organic carbon extracted from fumi-gated 
and unfumigated soil, respectively (expressed on oven dry 
basis), and KEC is the efficiency of extraction. A value of 0.45 is con-sidered 
as a general KEC value for microbial extraction efficiency 
and used for calculation. 
Labile carbon (LBC) in soil was determined by following the pro-cedure 
of Blair et al. (1995). Moist sample of soil (2.0 g) was taken 
in centrifuge tube and oxidized with 25 ml of 333 mM KMnO4 by 
shaking on a mechanical shaker for 1 h. The tubes were then cen-trifuged 
for 5 min at 4000 rpm and 1.0 ml of supernatant solution 
was diluted to 250 ml with double distilled water. The concen-tration 
of KMnO4 was measured at 565 nm wavelength using a 
spectrophotometer. The change in concentration of KMnO4 is used 
to estimate the amount of carbon oxidized assuming that 1.0 mM of 
MnO4 
− was consumed (Mn7+→ 
Mn2+) in the oxidation of 0.75 mM 
(9.0 mg) of carbon. 
2.5. Plant and FYM analysis 
Plot-wise samples of wheat grain and straw were dried at 
65 ± 1 ◦C in oven and ground in a Wiley mill for chemical analy-sis. 
Total nitrogen was determined after digesting the sample with 
concentrated H2SO4 using digestion mixture of K2SO4 and CuSO4 
(10:1) followed by steam distillation in a micro-Kjeldahl nitrogen 
distillation unit (Jackson, 1973). For other nutrients, grain and straw 
samples were digested with di-acid mixture of HNO3:HClO4 (10:4 
mixing ratio) and subsequently used for analysis. Total phosphorus 
content in the acid digest was determined by a spectrophotometer 
after developing vanadomolybdo–phosphate yellow colour com-plex 
as described by Jackson (1973). Potassium content in the acid 
digest was determined by a flame photometer (Jackson, 1973) and 
sulphur content by turbidimetric method (Chesnin and Yien, 1950). 
Fresh sample of FYM was analyzed for total C, N, P, K and S as in case 
of plant analysis. Moisture content was determined by gravimetric 
method. The fresh sample of FYM had 0.50% N, 0.32% P, 0.46% K, 
0.32% S, C/N ratio of 26.5 and 8.9% moisture content (w/w). 
2.6. Carbon management index 
The carbon management index (CMI) was obtained according to 
the mathematical procedures used by Blair et al. (1995), which are 
described below: 
CMI = 
CPI × 
LI × 
100 (1) 
where CPI is the carbon pool index and LI is the lability index. 
The CPI and the LI are calculated as follows: 
Carbon pool index (CPI) 
= Total C in treated sample (mg g−1) 
Total C in reference soil (mg g−1) 
(2) 
Lability index (LI) 
= Lability of C in sample soil 
Lability of C in reference soil 
(3) 
Lability of C (L) 
= C in fraction oxidized by KMnO4 (mg labile C g−1 soil) 
C remaining unoxisized by KMnO4 (mg labile C g−1 soil) 
= LBC (Labile C) 
NLC (Non-labile C) 
(4) 
The native uncultivated soil near the experimental field was 
used as the reference, with a CMI defined as 100. The labile C 
was considered as the portion of soil organic C that was oxidized 
by 333 mM KMnO4 (Blair et al., 1995). The non-labile C (NLC) 
was estimated from the difference between total organic C pool 
as determined by wet oxidation method (Snyder and Trofymow, 
1984) and the labile C (NLC = TOC 
− 
LBC). 
2.7. Statistical analysis 
For statistical analysis of data, Microsoft Excel (Microsoft Cor-poration, 
USA) and SPSS (Statistical Package for the Social Science, 
SPSS, Inc., Chicago, USA) window version 16.0 were used. Analy-sis 
of variance (ANOVA) was done as per the procedure outlined 
by Gomez and Gomez (1984). The significant differences between 
treatments were compared with the least significance (LSD) at 5% 
level of probability. Pearson’s correlations matrix was used to eval-uate 
the relationships between yields, nutrients uptake by wheat 
and soil available nutrients and different pools of organic carbon. 
Unless otherwise stated, the level of significance referred to in the 
results is P < 0.05. 
3. Results and discussion 
3.1. Changes in soil fertility 
3.1.1. Alkaline KMnO4-N 
Significant increase in alkaline KMnO4-N in surface soil 
(0–15 cm) was maintained in plots receiving FYM (262 kg N ha−1) 
and integrated use of FYM + NPK fertilizer (270 kg N ha−1) over NPK 
treated (182 kg N ha−1) and unfertilized control plots (178 kg ha−1) 
(Table 3). However, increases in KMnO4-N in sub-surface soil 
(15–30 cm) were observed only under plots receiving FYM and 
FYM + NPK fertilizer over unfertilized control. Increase in KMnO4-N 
in surface soil was 47.2 and 51.7% in FYM and FYM + NPK fertilizer 
treated plots over control, respectively. The increase in KMnO4-N 
in FYM amended plots is attributed to the increase in total SOC 
and might have been partially due to a slow release of N from 
manure, as suggested by Yadav et al. (2000), Gami et al. (2001)
36 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 
Table 3 
Effect of FYM and fertilizers on KMnO4-N and Olsen-P in a 6-year-old pearl 
millet–wheat cropping system. 
Treatments KMnO4-N (kg ha−1) Olsen-P (kg ha−1) 
0–15 cm 15–30 cm 0–15 cm 15–30 cm 
Control 178 150 18.3 5.5 
FYM 262(47.2)a 169(12.7) 20.7 (13.1) 8.2 (49.1) 
NPK 182 (2.2) 163 (8.7) 22.4 (22.4) 7.3 (32.7) 
FYM + NPK 270 (51.7) 181 (20.7) 24.9 (36.1) 7.7 (40.0) 
SEM (±) 3.93 4.77 0.82 0.82 
LSD (P = 0.05) 12.6 15.3 2.61 NS 
a Figure in parentheses indicate percent increase over control. 
and Bhandari et al. (2002). Farmyard manure is known to stimu-late 
biological N2 fixation in the soil, which may also have been 
responsible for the increase in soil N (Ladha et al., 1989) over 
NPK treatment, apart from FYM’s own N contribution. In addition, 
soils under NPK + FYM treated plots produced more biomass and, 
therefore, possibly had more extensive root systems that may have 
contributed to increased N levels. It is evident from this study that 
higher values of KMnO4-N were observed in surface soil as com-pared 
to sub-surface soil irrespective of treatments. This might be 
due to higher organic carbon content observed in surface as com-pared 
to sub-surface soil. 
3.1.2. Olsen-P 
Significantly greater amount of Olsen-P in surface soil was main-tained 
in all the three treatments receiving manure and fertilizer 
applied either alone or in combination over unfertilized control plot 
(Table 3). The build-up of Olsen-P in surface soil (0–15 cm depth) 
were 24.9, 22.4 and 20.7 kg P ha−1 in plots receiving FYM + NPK, NPK 
and FYM, respectively as against 18.3 kg P ha−1 in unfertilized con-trol 
plot. The Olsen-P increased by 36.1, 22.4 and 13.1% in plots 
receiving FYM + NPK, NPK and FYM, respectively over unfertilized 
plot. However, no significant differences were found in sub-surface 
soil where Olsen-P varied from 5.5 to 8.2 kg P ha−1 in different 
nutrient management practices. The increase in Olsen-P in plots 
receiving FYM applied either alone or in combination with NPK pos-sibly 
due to release of organically bound P during decomposition 
of organic matter, solubilization of soil P by organic acids produced 
during decomposition of organic matter. Continuous application of 
FYM also reduced the activity of polyvalent cations such as Ca, Fe, 
and Al due to chelation which, in turn, considered responsible for 
reduction in P-fixation (Gupta et al., 1988). The application of FYM 
increased Olsen-P because of its P content, and possibly by increas-ing 
retention of P in soil. A positive effect of FYM on P availability 
was also observed by Roy et al. (2001). This might be due to the 
fact that the major P fraction added through FYM is in the organic 
pool, which mineralized slowly with time (Yadvinder-Singh et al., 
2004). Increase in Olsen-P in NPK fertilizer is due to residual effect 
of higher amount of fertilizer P applied annually in this treatment 
as compared to no application of fertilizer in FYM and low appli-cation 
of fertilizer P in FYM + NPK treated plots. Biswas and Benbi 
(1997) reported considerable build-up of Olsen-P with application 
of phosphatic fertilizer, while those not receiving phosphatic fer-tilizer 
annually have shown a decline in Olsen-P. Similarly, earlier 
reports suggested that long-term application of P fertilizer in excess 
of crop requirement can build-up large amounts of P in soil in both 
the inorganic and organic pools (Singh et al., 2007). 
3.1.3. NH4OAc-extractable-K 
The NH4OAc-extractable-K (NH4OAc-K) showed significant 
changes in both the depths in different treatments. The NH4OAc- 
K content of soil under different treatments varied from 169 
to 245 kg ha−1 in surface soil and from 119 to 152 kg ha−1 in 
Table 4 
Effect of FYM and fertilizers on NH4OAc-K and CaCl2-S in a 6-year-old pearl 
millet–wheat cropping system. 
Treatments NH4OAc-K (kg ha−1) CaCl2-S (kg ha−1) 
0–15 cm 15–30 cm 0–15 cm 15–30 cm 
Control 169 119 13.2 8.4 
FYM 245(45.0)a 152(27.7) 21.3 (61.4) 9.6 (14.3) 
NPK 184 (8.9) 123 (3.4) 16.4 (24.2) 9.2 (9.5) 
FYM + NPK 214 (26.6) 137 (15.1) 22.2 (68.2) 9.4 (11.9) 
SEM (±) 10.3 4.70 0.54 0.41 
LSD (P = 0.05) 33.1 15.1 1.71 NS 
a Figure in parentheses indicate percent increase over control. 
sub-surface soil (Table 4). Plots received with FYM maintained sig-nificantly 
highest amount of NH4OAc-K (245 kg ha−1) followed by 
integrated use of FYM + NPK (214 kg ha−1), NPK alone (184 kg ha−1) 
and control (169 kg ha−1) in surface soil (0–15 cm). In contrast to 
Olsen-P, NH4OAc-K declined significant in treatments that received 
NPK fertilizers over 6 years, suggesting that the current rate of 
K application in the plots under NPK treatment was insufficient 
to sustain soil K fertility in the present pearl millet–wheat sys-tem 
where crop residues, particularly wheat straw, are removed 
from the fields. On the contrary, application of FYM resulted in an 
increase in NH4OAc-K due to more release of non-exchangeable K 
from the soil as FYM increased soil cation exchange capacity, which 
might have resulted in increased NH4OAc-K and its utilization by 
crops (Blake et al., 1999), besides FYM’s own K supply. The plots 
under FYM treatments either alone or in combination with NPK 
fertilizer showed the maximum accumulation of exchangeable K, 
possibly because of the increased sorption of K following continu-ous 
addition of FYM (Poonia et al., 1986; Mehta et al., 1988). This 
demonstrates that inputs of K with organic materials resulted in 
a build-up of soil NH4OAc-K because FYM generally contains high 
amounts of K. Considerable build-up of NH4OAc-K under FYM + NPK 
treatment in a long-term fertilizer experiment was reported by oth-ers 
(Nand Ram, 1998; Singh et al., 2000). Similar trend in NH4OAc-K 
due to different treatments was found in sub-surface soil. However, 
the levels of NH4OAc-K content were lower in sub-surface than 
surface soil. 
3.1.4. CaCl2-extractable-S 
The 0.15% CaCl2-extractable-S (CaCl2-S) content in surface 
soil (0–15 cm) was significantly higher in FYM + NPK treatment 
(22.2 kg ha−1) followed by FYM alone (21.3 kg ha−1) and least in 
unfertilized control plot (13.2 kg ha−1) (Table 4). However, no sig-nificant 
effect was observed in sub-surface soil. The increase in 
CaCl2-S in 0–15 cm soil depth was 68.2 and 61.4% in FYM + NPK and 
FYM treated plots over control. This increase is attributed to the 
accretion of sulphur through FYM application. Sarkar et al. (1998) 
reported that application of various organic sources like compost, 
FYM, green manure and crop residues can supply adequate quanti-ties 
of sulphur to crops. Nambiar and Abrol (1989) also reported 
from the long-term fertilizer experiments conducted at several 
locations that the treatment involving un-interrupted yearly appli-cation 
of FYM could maintain adequate status of sulphur to guard 
against its deficiency in soils. 
3.2. Pools of soil organic carbon 
3.2.1. Total organic carbon 
Continuous application of FYM either alone or in com-bination 
with NPK resulted in considerable accumulation of 
total SOC in 0–15 cm soil layer than unfertilized control plots 
(Table 5). Soils under the FYM + NPK treated plots resulted 
in higher total SOC in the 0–15 cm soil layer over those
P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 37 
Table 5 
Carbon management index (CMI) as affected by application of FYM and fertilizers 
in a 6-year-old pearl millet–wheat cropping system. 
Treatment TOC 
(g kg−1) 
LBC 
(g kg−1) 
NLC 
(g kg−1) 
CPI LC LI CMI 
0–15 cm depth 
Control 7.53 0.79 6.74 1.00 0.12 1.00 100 
FYM 11.48 1.20 10.28 1.52 0.12 1.52 232 
NPK 8.50 0.94 7.56 1.13 0.12 1.19 134 
FYM + NPK 11.08 1.36 9.72 1.47 0.14 1.72 253 
SEM (±) 0.39 0.07 0.36 
LSD (P = 0.05) 1.25 0.23 1.14 
15–30 cm depth 
Control 5.87 0.64 5.23 1.00 0.12 1.00 100 
FYM 7.86 0.84 7.02 1.34 0.12 1.31 176 
NPK 6.37 0.70 5.67 1.09 0.12 1.09 119 
FYM + NPK 7.85 0.87 6.98 1.34 0.12 1.36 182 
SEM (±) 0.19 0.03 0.20 
LSD (P = 0.05) 0.60 0.10 0.64 
TOC, total organic carbon; LBC, labile organic carbon; NLC, non-labile C; CPI, carbon 
pool index; LC, lability of C; LI, lability index; CMI, carbon management index. 
under the NPK treated plots. The TOC in surface soil were in 
the order of FYM (11.48 g kg−1) > FYM + NPK (11.08 g kg−1) > NPK 
(8.50 g kg−1) > unfertilized control (7.53 g kg−1). However, increase 
in TOC was more in surface as compared to sub-surface soil, which 
indicate that higher accumulation of organic carbon due to appli-cation 
of FYM was confined to surface soil. The increase in TOC 
in FYM and FYM + NPK treatments in surface layer was 52.5 and 
47.1% over unfertilized control, while they were 35.0 and 30.3% 
greater over NPK treatment, respectively. No significant difference 
in TOC in FYM and FYM + NPK treatments although the amount of 
FYM applied during the study period in FYM treated plot was dou-ble 
of the amount applied in FYM + NPK treated plot. This might 
be due to more turn-over of root biomass in FYM + NPK treatment 
because of better growth and higher average yields obtained during 
the study period of both the crops in FYM + NPK treatment as com-pared 
to FYM treatment. It is evident that irrespective of depths, 
greater accumulation of TOC was observed with FYM treatment 
while control plot showed the lowest value. In the present study, 
the above-ground biomass was removed and there was no incor-poration 
of residues to the soil. The only input of organic matter 
was through root biomass. Thus, increase in TOC in optimal and 
balanced application of NPK is because of greater input of root 
biomass due to better crop growth. It was supported by the data 
published by Manjaiah and Singh (2001) who noted an annual esti-mated 
organic carbon input to the tune of 8190 and 2780 kg ha−1 
in 100% NPK + FYM and 100% NPK treatments, respectively. Simi-lar 
effects of manure and inorganic fertilizer applications on soil 
organic C has also been reported from Rothamsted classical exper-iments 
(Jenkinson, 1991) and long-term experiments elsewhere 
(Kukreja et al., 1991; Campbell et al., 1996; Biswas and Benbi, 1997; 
Potter et al., 1998; Rudrappa et al., 2006). 
3.2.2. Walkley and Black organic carbon 
Walkley and Black method mostly determines both labile and 
small part of non-labile organic carbon which is the readily accessi-ble 
source of carbon to microorganisms and have direct impact on 
plant nutrient supply. The monitoring of soil organic carbon either 
for agricultural sustainability or environmental quality has been 
done in most of the studies by Walkley and Black method (Walkley 
and Black, 1934). In the present study, the plots that received FYM 
(7.30 g kg−1) and FYM + NPK (6.50 g kg−1) had significantly higher 
build-up in WBC over NPK treated (5.10 g kg−1) and unfertilized 
control plots (4.90 g kg−1) in the surface soil (Fig. 1). The increase 
in build-up in WBC under FYM and FYM + NPK treatments was 43.1 
and 27.5% greater over treatment receiving NPK fertilizer alone and 
Fig. 1. Changes in Walkley and Black organic carbon as influenced by application of 
FYM and fertilizers after wheat grown in a 6-year-old pearl millet–wheat cropping 
system. Error bars represent standard deviation of the mean. 
49.0 and 32.7% greater over treatment receiving no fertilizer or 
manure (control). In case of sub-surface soil, the build-up in WBC 
under plots receiving FYM alone (4.1 g kg−1) and FYM + NPK fertil-izer 
(3.8 g kg−1) was higher than in the plots receiving only NPK 
fertilizer (3.0 g kg−1) and in the control (2.5 g kg−1). In general, the 
values of WBC in sub-surface soils due to application of different 
treatments were low compared to surface soil. The WBC and TOC 
showed similar trend with respect to the changes in soil organic car-bon 
due to different treatments, however, the values of WBC were 
lower as compared to TOC. The values of this pool of soil organic 
carbon varied between 58.6 and 65.0% of total soil organic carbon 
in surface soil. 
The significantly greater SOC in the fertilized plots over the con-trol 
may be explained by the greater yield and associated greater 
amount of root residues and stubbles of all the crops added to the 
soil (Ghosh et al., 2003). Greater SOC under complete doses of NPK 
fertilizer as compared to unfertilized soil has also been reported 
in long-term studies (Swarup and Wanjari, 2000). Application of 
organic amendments (FYM) also increased the SOM content to a 
much greater extent than that of inorganic fertilizer alone. This 
may be attributed to enhanced crop growth which in turn, resulted 
in increased above and below-ground organic residues (e.g. roots), 
and thus raised the SOM content. The increased SOM in FYM treated 
plots also due to slower breakdown rate (less and constant miner-alization 
rate) of FYM in soil. Kundu et al. (2002) reported that SOC 
content improved in fertilized plots as compared to the unfertil-ized 
plots due to C addition through the roots and crop residues, 
higher humification rate constant, and lower decay rate. Similarly, 
in a long-term experiment, Masto et al. (2006) observed that the 
SOC was considerably greater in soils receiving FYM or straw along 
with NPK fertilizer than in plots receiving merely NPK fertilizer. In 
this study, the combination of organic and inorganic fertilization 
enhanced the accumulation of SOC which is consistent with many 
other studies (Jenkinson, 1991; Kukreja et al., 1991; Biswas and 
Benbi, 1997; Majumder et al., 2007, 2008; Hao et al., 2008; Banger 
et al., 2009). 
3.2.3. Labile organic carbon 
The labile organic carbon (LBC) pool or KMnO4 oxidizable car-bon 
is considered as a useful approach for the characterization of 
SOC resulting from different soil management practices including 
cropping systems and application of organic and inorganic sources 
of nutrients. The values of LBC in surface soil were 1.20, 1.36, 0.94 
and 0.79 g kg−1 in FYM, FYM + NPK, NPK and unfertilized control 
treatments, respectively (Table 5) which were 10.5, 12.3, 11.1 and 
10.5% of the TOC, respectively. Similar trend in LBC were observed
38 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 
Fig. 2. Changes in microbial biomass carbon as influenced by application of FYM and 
fertilizers after wheat grown in a 6-year-old pearl millet–wheat cropping system. 
Error bars represent standard deviation of the mean. 
in sub-surface soil. The plots received with FYM and FYM + NPK 
treatments showed significant increase in LBC over NPK and 
unfertilized control treatments in both surface and sub-surface 
soil depth. However, the highest value of 1.36 g kg−1 was observed 
in FYM + NPK treatment in surface soil. This may be due to the 
application of FYM as well as higher turn-over of root biomass 
because of better growth and yield of pearl millet and wheat 
crops under combined application of FYM + NPK as compared to 
1.20 g kg−1 in FYM alone. The percent increase in LBC in FYM and 
FYM + NPK treatments in surface soil was 27.7 and 44.7% over 
NPK and 51.9 and 72.2% over unfertilized control, respectively. 
Higher variations in LBC in combined application of FYM + NPK 
fertilizer indicate that this pool of soil organic C is more sensitive 
to change due to manuring and fertilization. Higher turn-over of 
root biomass under integrated nutrient management (FYM + NPK) 
also might have attributed to higher increase in this pool as 
compared to other treatments. Our results are in agreement with 
the values reported by others (Conteh et al., 1997; Rudrappa et al., 
2006). Labile soil organic carbon pool is considered as the readily 
accessible source of microorganisms which turns over rapidly and 
has direct impact on nutrient supply. Labile soil organic carbon 
pool generally includes light faction of organic matter, microbial 
biomass and mineralizable organic matter. Adoption of procedure 
that can preferentially extract more labile soil organic carbon 
might be a useful approach for characterizing soil organic carbon 
and hence soil fertility and nutrient availability to plant resulting 
from different management practices including cropping systems 
and application of organic and inorganic sources of nutrients. The 
significant increase in LBC under integrated nutrient management 
system (FYM + NPK) indicates its superiority over the manage-ment 
by organic and chemical fertilizer alone in sustaining crop 
productivity. 
3.2.4. Microbial biomass carbon 
The microbial biomass carbon (MBC) is an important compo-nent 
of the SOM that regulates the transformation and storage of 
nutrients. The soil MBC regulates all SOM transformations and is 
considered to be the chief component of the active SOM pool. It 
is evident that the MBC contents in both surface and sub-surface 
soil were significantly higher in plots receiving FYM + NPK and 
FYM treated plots compared to NPK fertilizer and unfertilized con-trol 
plots (Fig. 2). The values of MBC in surface soil varied from 
155 mg kg−1 in unfertilized control plot to 273 mg kg−1 in inte-grated 
nutrient use of FYM + NPK plots, respectively; while it varied 
from 113 mg kg−1 (control) to 156 mg kg−1 (FYM + NPK) in sub-surface 
soil. The values of MBC increased by 56.3 and 76.5% under 
FYM and FYM + NPK treatments in surface soil over control. While, 
there were 26.7 and 43.0% increase of MBC over NPK fertilizer, 
respectively. The highest value of MBC due to integrated use of FYM 
and NPK fertilizer might be due to higher turn-over of root biomass 
produced under FYM + NPK treatment. Application of NPK fertilizer 
is not only required for better growth of the crop but also required 
for synthesis of cellular components of microorganisms. There-fore, 
higher root biomass under FYM + NPK fertilizer treatment 
helped in increasing MBC over other treatments. Similar increases 
in integrated nutrient management with manure + fertilizer have 
been reported by others (Hopkins and Shiel, 1996; Grego et al., 
1998; Dezhi et al., 2007). Although MBC content in soil repre-sent 
a small fraction i.e. about 1–5% of TOC), however, variation 
in this pool due to management and cropping systems indicate 
about the quality of soil, because the turn-over of SOM is con-trolled 
by this pool of SOC which can provide an effective early 
warning of the improvement or deterioration of soil quality as 
a result of different management practices (Powlson and Brooks, 
1987). 
In our study, MBC was highest in the FYM plus inorganic fertil-izer 
treatment. The increase of MBC under FYM amended soils could 
be attributed to several factors, such as higher moisture content, 
greater soil aggregation and higher SOC content. The FYM amended 
plots provided a steady source of organic C to support the microbial 
community compared to NPK treated plots. Generally, FYM applied 
to soil has long been employed to enhance favourable soil condi-tions. 
Decomposition of manure in soil releases essential nutrients 
such as N, P and S that are required by microorganisms. Fauci and 
Dick (1994) suggested that soils with a long-term use of organic 
amendments, such as animal manure, generally maintain high lev-els 
of MBC. In long-term field experiments in Denmark, Powlson 
et al. (1987) showed that straw manure could increase MBC up to 
45%. Similar to our study, Kandeler et al. (1999) earlier reported that 
FYM (30 Mg ha−1, applied every second year) doubled the microbial 
biomass in a Haplic Phaeocem under spring barley. Manjaiah and 
Singh (2001) reported an increase of MBC by a factor of three after 
a combined application of FYM and mineral N-fertilizer in a semi-arid 
Cambisol. The higher microbial biomass in FYM + NPK might be 
both due to higher below ground plant residues as well as added 
FYM (Grego et al., 1998). This observation is consistent with that of 
Hopkins and Shiel (1996), who reported that the MBC was greater in 
soils receiving annual additions of FYM for nearly 100 years in addi-tion 
to inorganic NPK. However, in a different study, a significant 
increase in MBC was found only in soils fertilized with compost, 
while treatment with mineral fertilizers was characterized by a 
small MBC, as small as in the control soil (Grego et al., 1998). Sim-ilarly, 
Omay (1997) reported a significant decrease in MBC due to 
fertilizer applications, particularly N. The imbalanced use of fer-tilizers 
also decreased MBC due to limitation imposed by major 
nutrients like P and K, which are essential for higher crop produc-tion 
as well as for microbial cell synthesis. The surface soil exhibited 
higher MBC compared to lower soil depths primarily because of 
addition of left-over crop residues and root biomass into the top-soil. 
This view is consistent with the observation of Hao et al. (2008) 
who observed that the microbial biomass was considerably greater 
in soils receiving FYM along with NPK fertilizer than in plots receiv-ing 
merely NPK fertilizer in three subtropical paddy soils. Mandal 
et al. (2007) also reported that the microbial biomass was greater in 
soils due to addition of straw plus inorganic NPK for 34 years than 
that of inorganic NPK fertilizers. Similarly, Kaur et al. (2005) also 
observed that in general, MBC tends to be smaller in unfertilized 
soils or those fertilized with chemical fertilizers compared to soil 
amended with organic manures. The readily metabolizable carbon 
and N in FYM in addition to increasing root biomass and root exu-dates 
due to greater crop growth are the most influential factors 
contributing to the increase in soil MBC.
P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 39 
Fig. 3. Effect of FYM and fertilizers on yield of wheat grown in a 6-year-old pearl 
millet–wheat cropping system. Error bars represent standard deviation of the mean. 
3.2.5. Carbon management index 
The carbon management index (CMI) is derived from the total 
soil organic C pool and C lability index and is useful to evaluate 
the capacity of management systems to promote soil quality. This 
index compares the changes that occur in total and labile carbon as 
a result of agricultural practices, with an emphasis on the changes 
in labile carbon, as opposed to non-labile carbon in SOM. Therefore, 
the integration of both soil organic C pool and C lability into the car-bon 
management index can provide a useful parameter to assess 
the capacity of management systems to promote soil quality (Blair 
et al., 1995). A management system is considered sustainable, if the 
value of CMI is greater than 100. In the present study, the highest 
CMI values of 292 at 0–15 cm soil depth and 182 at 15–30 cm soil 
depth were obtained in treatment receiving integrated use of FYM 
and NPK fertilizer (Table 5). The addition of FYM alone resulted in 
CMI values of 267 and 176 at 0–15 and 15–30 cm soil depth, respec-tively; 
while that of NPK fertilizer resulted in CMI values of 173 and 
143 at 0–15 and 15–30 cm soil depth, respectively. Improvement 
in CMI value under integrated use of organic and inorganic fer-tilizer 
over their sole application could be attributed to addition 
of organic carbon and other nutrients through these sources. In 
general, the CMI values decreased from surface soil to sub-surface 
soil depth irrespective of nutrient management practices. Similar 
result in higher CMI under rice–wheat cropping system amended 
with Lantana spp. was reported earlier by Sharma et al. (2003). 
Blair et al. (1995) reported that there was no ideal value of CMI. 
However, this index provides a sensitive measure of the rate of 
changes in soil carbon dynamics of the system related to the more 
stable reference soil. The higher values of CMI indicate that the 
system have greater soil quality than the other management sys-tems. 
These results indicated that integrated use of FYM and NPK 
fertilizer in intensive cropping system like pearl millet–wheat sys-tem 
by using targeted yield equations could be considered as the 
sustainable management option for crop production. 
3.3. Yield of wheat 
Grain yield of wheat obtained in different nutrient management 
varied from 1.67 Mg ha−1 in unfertilized control to 5.33 Mg ha−1 
in integrated use of FYM and inorganic fertilizers (FYM + NPK) and 
straw from 2.29 (unfertilized control) to 7.49 Mg ha−1 (FYM + NPK) 
(Fig. 3). The highest grain and straw yields were obtained in inte-grated 
treatment (FYM + NPK) and lowest in control. This showed 
the superiority of integrated nutrient management over either 
fertilizers or FYM alone. Significantly higher yield was obtained 
in FYM + NPK as compared to FYM, which revealed that FYM 
alone cannot be a substitute for fertilizers. The highest grain yield 
recorded under the application of inorganic sources of nutrient 
may have been due to the immediate release and availability of 
nutrients as compared to organic sources of nutrient, which release 
the nutrient slowly. The yield advantage on application of organic 
sources of nutrients was due to addition of secondary and micronu-trients 
(Nambiar, 1997; Nayar and Chhibba, 2000; Manna et al., 
2005; Banik et al., 2006) along with the major nutrients, increased 
nutrient absorption capacity due to the higher root density. It also 
improved soil physical (Boparai et al., 1992) and biological prop-erties 
by increasing the soil pore space, water holding capacity 
(Biswas et al., 1971; Wallace, 1996; Lehmann et al., 1999) and 
improving the soil structure (Biswas et al., 1971; Prasad and Singh, 
1980). Combined use of organic and inorganic sources of nutri-ent 
could be attributed to better synchrony of nutrient availability 
to the wheat crop, which was reflected in higher grain yield and 
biomass production and also the higher nutrient use efficiency. The 
higher wheat yield obtained on FYM + NPK fertilizer-treated plots 
was possibly caused by other benefits of organic matter such as 
improvements in microbial activities, better supply of secondary 
and micronutrients which are not supplied by inorganic fertilizers, 
and lower losses of nutrients from the soil besides supply of N, P 
and K (Abrol et al., 1997; Yadav et al., 2000; Yadvinder-Singh et al., 
2004). The improved soil physical properties in the FYM-treated 
plots as observed in the present study might have also contributed 
to the improvement in crop yields. The present study corroborates 
the findings of other workers (Banger et al., 2009), where increased 
yield of wheat due to integrated use of manures and fertilizers over 
fertilizers alone were reported. It is also reported that application 
of FYM along with chemical fertilizer enhances the activities of N 
fixers (Ladha et al., 1989), improves the availability of the nutrients 
for a longer period (Rani and Srivastava, 1997), increases nutrients 
use efficiency of the crops (Narwal and Chaudhary, 2006), and bet-ter 
availability of native nutrients to the plants resulting in a higher 
yield (Bhandari et al., 2002). Improvement in the efficiency of fer-tilizers 
when used in conjunction with manure might be due to 
the enhanced inherent nutrient supplying capacity of the soil and 
improved soil physical properties (Hati et al., 2006), which might 
have promoted better rooting, higher nutrient and water absorp-tion 
by crops (Reicosky and Deaton, 1979; Zhang et al., 1998). 
3.4. Correlation matrix 
Data on Pearson’s correlation matrix revealed that yield of 
wheat was significantly (P < 0.01) and positively correlated with 
KMnO4-N (r = 0.564*), Olsen-P (r = 0.819**) and CaCl2-S (r = 0.734**) 
in soil (Table 6). Similarly, significant and positive correlation 
between yield and TOC (r = 0.775**), LBC (r = 0.689**) and MBC 
(r = 0.682**) were observed. A strong relationship between crop 
yields with different pools of carbon indicates that there appears 
to be a significant influence of SOC in enhancing crop yields. Differ-ent 
pools of SOC showed significant and positive relationship with 
each other indicating a dynamic relationship of different pools of 
carbon in soil. The results also revealed that changes in pools of 
organic carbon namely, WBC, LBC and MBC were affected signifi-cantly 
by total organic carbon content in soil. The highest value of 
correlation coefficient between LBC with TOC (r = 0.828**) and MBC 
with TOC (r = 0.738**) indicates that these pools are most affected 
by change management practices in soils. The results indicate that it 
is not only the change in TOC under different treatment is important 
but also the change in LBC and MBC pools which are more impor-tant 
form the point of quality of soil organic carbon and availability 
of nutrients to crops are concerned. Although the quantity of LBC 
and MBC pools are very low as compared to TOC but these pools 
are easily accessible thus more important from the point of nutri-ent 
availability during crop growth period as compared to total soil 
organic carbon. Therefore, these pools are helpful in understanding 
the availability of nutrients in soil for uptake by plants.
40 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 
Table 6 
Pearson’s correlation matrix between yield, available nutrients and pools of soil organic carbon as affected by FYM and fertilizers in a 6-year-old pearl millet–wheat system. 
Parameter Yield KMnO4-N Olsen-P NH4OAc-K CaCl2-S TOC WBC LBC 
KMnO4-N 0.564* 
Olsen-P 0.819** 0.453* 
NH4OAc-K 0.368 0.680** 0.271 
CaCl2-S 0.734** 0.918** 0.595** 0.750** 
TOC 0.775** 0.805** 0.530* 0.648** 0.844** 
WBC 0.398 0.867** 0.247 0.718** 0.785** 0.736** 
LBC 0.689** 0.841** 0.457* 0.584** 0.789** 0.828** 0.638** 
MBC 0.682** 0.816** 0.592** 0.708** 0.864** 0.738** 0.648** 0.829** 
* Correlation is significant at the 0.05 level (1-tailed). 
** Correlation is significant at the 0.01 level (1-tailed). 
4. Conclusions 
The present study demonstrated that integrated use of FYM and 
NPK fertilizer using STCR-based targeted yield approach increased 
soil fertility and pools of soil organic carbon. Significant and pos-itive 
correlations of LBC and MBC with yield indicate that these 
pools are more important for nutrient turn-over and their avail-ability 
to plants than TOC. Carbon management index revealed that 
integrated nutrient management could be followed for enhanc-ing 
crop productivity, nutrient availability and soil carbon pools 
for long-term. These results conclude that for sustainable crop 
production and maintaining soil quality, input of organic manure 
like FYM is of major importance and should be advocated in the 
nutrient management of intensive cropping system for improving 
chemical and biological properties of soils. Therefore, the gov-ernment 
should encourage farmers to manage nutrients and soil 
fertility following soil test based integrated nutrient management 
by combining organic with inorganic fertilizer to increase crop pro-ductivity, 
enhancing nutrient availability and sustaining soil carbon 
pools for long-term. 
Acknowledgments 
The senior author thanks the Indian Council of Agricultural 
Research, New Delhi, India, for providing financial support as Junior 
Research Fellowship during his research work and the Head, Divi-sion 
of Soil Science and Agricultural Chemistry, Indian Agricultural 
Research Institute, New Delhi, India, for providing facilities for suc-cessful 
completion of the research work. 
References 
Abrol, I.P., Bronson, K.F., Duxbury, J.M., Gupta, R.K., 1997. Long-term soil fertility 
experiments in rice–wheat cropping systems. In: Rice–Wheat Consortium Paper 
Series No. 1. Rice–Wheat Consortium for the Indo-Gangetic Plains, New Delhi, 
India, pp. 14–15. 
Banger, K., Kukal, S.S., Toor, G., Sudhir, K., Hanumanthraju, T.H., 2009. Impact of 
long-term additions of chemical fertilizers and farmyard manure on carbon and 
nitrogen sequestration under rice–cowpea cropping system in semi-arid tropics. 
Plant Soil 318, 27–35. 
Banik, P., Ghosal, P.K., Sasmal, T.K., Bhattacharya, S., Sarkar, B.K., Bagchi, D.K., 2006. 
Effect of organic and inorganic nutrients for soil quality conservation and yield 
of rainfed low land rice in subtropical plateau region. J. Agron. Crop Sci. 192, 
331–343. 
Bhandari, A.L., Ladha, J.K., Pathak, H., Padre, A.T., Dawe, D., Gupta, R.K., 2002. Yield 
and soil nutrient changes in a long-term rice–wheat rotation in India. Soil Sci. 
Soc. Am. J. 66, 162–170. 
Biswas, C.R., Benbi, D.K., 1997. Sustainable yield trends of irrigated maize and wheat 
in LTFE on loamy sand in semi arid India. Nutr. Cycl. Agroecosyst. 46, 225–234. 
Biswas, T.D., Jain, B.L., Mandal, S.C., 1971. Cumulative effect of different levels of 
manures on the physical properties of soil. J. Indian Soc. Soil Sci. 19, 31–37. 
Blair, G.J., Lefroy, R.D.B., Lisle, L., 1995. Soil carbon fractions based on their degree of 
oxidation, and the development of a carbon management index for agricultural 
systems. Aust. J. Agric. Res. 46, 1459–1466. 
Blair, N., 2000. Impact of cultivation and sugar-cane green trash management on 
carbon fractions and aggregate stability for a chromic luvisol in Queensland, 
Australia. Soil Till. Res. 55, 183–191. 
Blake, L., Mercik, S., Koerschens, M., Goulding, K.W.T., Stempen, S., Weigel, A., Poul-ton, 
P.R., Powlson, D.S., 1999. Potassium content in soil, uptake in plants and the 
potassium balance in three European long-term field experiments. Plant Soil 
216, 1–14. 
Boparai, B.S., Singh, Y., Sharma, B.D., 1992. Effect of green manuring with Sesba-nia 
aculeata on physical properties of soil and growth of wheat in rice–wheat 
and maize–wheat cropping sequence in semiarid regions of India. Arid Soil Res. 
Rehabil. 6, 135–143. 
Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size anal-ysis 
of soils. Agron. J. 54, 464. 
Campbell, C.A., McConkey, B.G., Zentner, R.P., Selles, F., Curtin, D., 1996. Tillage and 
crop rotation effects on soil organic C and N in a coarse-textured Typic Hap-loboroll 
in South western Saskatchewan. Soil Till. Res. 37, 3–14. 
Carter, M.R., 2002. Soil quality for sustainable land management: organic matter and 
aggregation interactions that maintain soil functions. Agron. J. 94, 38–47. 
Chesnin, L., Yien, C.H., 1950. Turbidimetric determination of available sulphates. Soil 
Sci. Soc. Am. Proc. 15, 149–151. 
Conteh, A., Lefroy, R.D.B., Blair, G.J., 1997. Dynamics of organic matter in soil as 
determined by variations in 13C/12C isotopic ratios and fractionation by ease of 
oxidation. Aust. J. Soil Res. 35, 881–890. 
Dalal, R.C., Mayer, R.J., 1986. Long-term trends in fertility of soils under continuous 
cultivation and cereal cropping in Southern Queensland: III. Distribution and 
kinetics of soil organic carbon in particle size fractions. Aust. J. Soil Res. 24, 
293–300. 
Dawe, D., Dobermann, A., Ladha, J.K., Yadav, R.L., Bao Lin Gupta, R.K., Lal, P., Panaullah, 
G., Sariam, O., Singh, Y., Swarup, A., Zhen, Q.-X., 2003. Do organic amendments 
improve yield trends and profitability in intensive rice systems? Field Crops Res. 
83, 191–213. 
Dezhi, Y., Dejian, W., Linzhang, Y., 2007. Long-term effect of chemical fertilizer, 
straw, and manure on labile organic matter fractions in a paddy soil. Biol. Fertil. 
Soils 44, 93–101. 
Ding, G.W., Liu, X.B., Herbert, S., Novak, J., Amarasiriwardena, D., Xing, B.H., 2006. 
Effect of cover crop management on soil organic matter. Geoderma 130, 
229–239. 
Fauci, M.F., Dick, R.P., 1994. Soil microbial dynamics: short and long term effects of 
inorganic and organic nitrogen. Soil Sci. Soc. Am. J. 58, 801–806. 
Gami, S.K., Ladha, J.K., Pathak, H., Shah, M.P., Pasuquin, E., Pandey, S.P., Hobbs, P.R., 
Joshy, D., Mishra, R., 2001. Long-term changes in yield and soil fertility in a 
20-year rice–wheat experiment in Nepal. Biol. Fertil. Soils 34, 73–78. 
Ghosh, P.K., Dayal, D., Mandal, K.G., Wanjari, R.H., Hati, K.M., 2003. Optimization 
of fertilizer schedules in fallow and groundnut-based cropping systems and an 
assessment of system sustainability. Field Crops Res. 80, 83–98. 
Gomez, K.A., Gomez, A.A., 1984. Statistical Procedures for Agricultural Research. 
Wiley Interscience, New York. 
Grego, S., Marinari, S., Moscatelli, M.C., Badalucco, L., 1998. Effect of ammonium 
nitrate and stabilized farmyard manure on microbial biomass and metabolic 
quotient of soil under Zea mays. Agric. Meditern. 128, 132–137. 
Gupta, A.P., Antil, R.S., Narwal, R.P., 1988. Effect of farmyard manure on organic car-bon, 
available N, and P content of soil during different periods of wheat growth. 
J. Indian Soc. Soil Sci. 262, 269–273. 
Hanway, J.J., Heidel, H., 1952. Soil analysis methods as used in Iowa State College 
Soil Testing Laboratory. Iowa Agric. 57, 1–31. 
Hao, X.H., Liu, S.L., Wu, J.S., Hu, R.G., Tong, C.L., Su, Y.Y., 2008. Effect of long-term appli-cation 
of inorganic fertilizer and organic amendments on soil organic matter and 
microbial biomass in three subtropical paddy soils. Nutr. Cycl. Agroecosyst. 81, 
17–24. 
Hati, K.M., Swarup, A., Singh, D., Mishra, A.K., Ghosh, P.K., 2006. Long-term con-tinuous 
cropping, fertilization and manuring effects on physical properties and 
organic carbon content of a sandy loam soil. Aust. J. Soil Res. 44, 487–495. 
Hopkins, D.W., Shiel, R.S., 1996. Size and activity of soil microbial communities 
in long term experimental grassland plots treated with manure and inorganic 
fertilizers. Biol. Fertil. Soils 22, 66–70. 
Jackson, M.L., 1973. Soil Chemical Analysis. Prentice Hall of India Pvt. Ltd., New Delhi. 
Jenkinson, D.S., 1991. The Rothamsted long-term experiments: are they still in use? 
Agron. J. 83, 2–10. 
Jenkinson, D.S., Powlson, D.S., 1976. The effects of biocidal treatment on metabolism 
in soil. I. Fumigation with chloroform. Soil Biol. Biochem. 8, 167–177. 
Kandeler, E., Stemmer, M., Klimanek, E.M., 1999. Response of soil microbial biomass, 
urease and xylanase within particle size fractions to long-term soil management. 
Soil Biol. Biochem. 31, 261–273.
P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 41 
Kaur, K., Kapoor, K.K., Gupta, A.P., 2005. Impact of organic manures with and with-out 
mineral fertilizers on soil chemical and biological properties under tropical 
conditions. J. Plant Nutr. Soil Sci. 168, 117–122. 
Kukreja, K., Mishra, M.M., Dhankar, S.S., Kapoor, K.K., Gupta, A.P., 1991. Effect of 
long term manurial application on microbial biomass. J. Indian Soc. Soil Sci. 39, 
685–688. 
Kumar, P., Nanwal, R.K., Yadav, S.K., 2005. Integrated nutrient management in pearl 
millet (Pennisetum glaucum)–wheat (Triticum aestivum) cropping system. Indian 
J. Agric. Sci. 75, 640–643. 
Kundu, S., Prakash, V., Ghosh, B.N., Singh, R.D., Srivastva, A.K., 2002. Quantitative 
relationship between annual carbon inputs and soil organic carbon build-up in 
soybean (Glycine max)–wheat (Triticum aestivum) cropping sequence. In: 2nd 
Int. Agron. Congress, New Delhi, India, November 26–30, 2002, pp. 108–110. 
Ladha, J.K., Padre, A.T., Punzalan, G.C., Garcia, M., Watanabe, I., 1989. Effect of inor-ganic 
N and organic fertilizers on nitrogen-fixing (acetylene-reducing) activity 
associated with wetland rice plants. In: Skinner, F.A. (Ed.), N2 Fixation with 
Non-legumes. Kluwer Academic Publishers, Dordrecht, pp. 263–272. 
Ladha, J.K., Pathak, H., Padre, A.T., Dawe, D., Gupta, R.K., 2003. Productivity trends in 
intensive rice–wheat cropping systems in Asia. In: Ladha, J.K., Hill, J.E., Duxbury, 
J.M., Gupta, R.K., Buresh, R.J. (Eds.), Improving the Productivity and Sustain-ability 
of Rice–Wheat Systems: Issues and Impacts, ASA Special Publication 65. 
ASA–CSSA–SSSA, Madison, USA, pp. 45–76. 
Lal, R., 1994. Methods and guidelines for assessing sustainable use of soil and water 
resources in the tropics. In: SMSS Tech. Monograph No. 21. USDA, Washington, 
DC, p. 78. 
Lehmann, J., Feilner, T., Gebauer, G., Zech, W., 1999. Nitrogen uptake of sorghum 
(Sorghum bicolor L.) from tree mulch and mineral fertilizer under high leaching 
conditions estimated by nitrogen-15 enrichment. Biol. Fertil. Soils 30, 90–95. 
Majumder, B., Mandal, B., Bandyopadhyay, P.K., 2008. Soil organic carbon pools and 
productivity in relation to nutrient management in a 20-year-old rice-berseem 
agro-ecosystem. Biol. Fertil. Soils 44, 451–561. 
Majumder, B., Mandal, B., Bandyopadhyay, P.K., Chaudhury, J., 2007. Soil organic 
carbon pools and productivity relationships for a 34 year old rice–wheat–jute 
agro-ecosystem under different fertilizer treatments. Plant Soil 297, 53–67. 
Mandal, A., Patra, A.K., Singh, D., Swarup, A., Masto, R.E., 2007. Effect of long-term 
application of manure and fertilizer on biological and biochemical activities in 
soil during crop development stages. Bioresour. Technol. 98, 3585–3592. 
Manjaiah, K., Singh, D., 2001. Soil organic matter and biological properties after 26 
years of maize–wheat–cowpea cropping as affected by manure and fertilization 
in Cambisol in semiarid region of India. Agric. Ecosyst. Environ. 86, 155–162. 
Manna, M.C., Swarup, A., Wanjari, R.H., Ravankar, H.N., Mishra, B., Saha, M.N., Singh, 
Y.V., Shahi, D.K., Sarap, P.A., 2005. Long-term effect of fertilizer and manure 
application on soil organic carbon storage, soil quality and yield sustainability 
under sub-humid and semi-arid tropical India. Field Crops Res. 93, 264–280. 
Marinari, S., Masciandaro, G., Ceccanti, B., Grego, S., 2000. Influence of organic and 
mineral fertilisers on soil biological and physical properties. Bioresour. Technol. 
72, 9–17. 
Masto, R.E., Chhonkar, P.K., Singh, D., Patra, A.K., 2006. Changes in soil biological and 
biochemical characteristics in a long-term field trial on a sub-tropical Inceptisol. 
Soil Biol. Biochem. 38, 1577–1582. 
Mehta, S.C., Sharma, D.R., Mittal, S.B., 1988. Influence of long-term application of 
farmyard manure on K–Ca and K–Na exchange equilibrium in a tropical soil. J. 
Potassium Res. 4, 168–173. 
Nambiar, K.K.M., 1997. Soil health and organic matter – changing scenario. Proc. 
Natl. Acad. Sci. India 67B, 141–160. 
Nambiar, K.K.M., Abrol, I.P., 1989. Long term fertilizer experiments in India – an 
overview. Fertil. News 34, 11–26. 
Nand, R., 1998. Effects of continuous fertilizer use on soil fertility and productivity of 
a mollisol. In: Swarup, A., Reddy, D., Prasad, R.N. (Eds.), Long-term Soil Fertility 
Management Through Integrated Plant Nutrient Supply. Indian Institute of Soil 
Science, Bhopal, India, pp. 229–237. 
Narwal, R.P., Chaudhary, M., 2006. Effect of long-term application of FYM and fer-tilizer 
N on available P, K and S content of soil. In: 18th World Congress of Soil 
Science in Philadelphia, Pennsylvania, USA, July 9–15, 2006. 
Nayar, V.K., Chhibba, I.M., 2000. Effect of green manuring on micronutrient 
availability in rice–wheat cropping system of northwest India. In: Abrol, 
I.P., Bronson, K.F., Duxbury, J.M., Gupta, R.M. (Eds.), Long-term Soil Fertility 
Experiments in Rice–Wheat Cropping Systems. Rice–Wheat Consortium Paper 
Series 6, Rice–Wheat Consortium for the Indo-Gangetic Plains, New Delhi, 
pp. 68–72. 
Olsen, S.R., Cole, C.V., Watanabe, F.S., Dean, L.A., 1954. Estimation of Available Phos-phorus 
in Soils by Extraction with Sodium Bicarbonate. US Dept. Agric. Circular, 
p. 939. 
Omay, A.B., 1997. Soil microbial and chemical property under long crop rotation and 
fertilization. Soil Sci. Soc. Am. J. 61, 1672–1678. 
Poonia, S.R., Mehta, S.C., Pal, R., 1986. Exchange equilibrium of potassium in soils. 1. 
Effect of farmyard manure on K and Ca exchange. Soil Sci. 141, 77–83. 
Potter, K.N., Tolbert, H.A., Jones, O.R., Matocha, J.E., Morrison, J.E., Unger, P.W., 1998. 
Distribution and amount of soil organic C in the long-term management systems 
in Texas. Soil Till. Res. 47, 309–321. 
Powlson, D.S., Brookes, P.C., Christensen, B.T., 1987. Measurement of soil microbial 
biomass provides an early indication of changes in total soil organic matter due 
to straw incorporation. Soil Biol. Biochem. 19, 159–164. 
Powlson, D.S., Brooks, P.C., 1987. Measurement of soil microbial biomass provides 
an early indication of changes in total soil organic matter due to straw incorpo-ration. 
Soil Biol. Biochem. 19, 159–164. 
Prasad, B., Singh, A.P., 1980. Changes in soil properties with long-term use of fertil-izer, 
lime and farmyard manure. J. Indian Soc. Soil Sci. 28, 465–468. 
Ramamoorthy, B., Narasimham, R.L., Dinesh, R.S., 1967. Fertilizer application for 
specific yield targets of Sonara 64. Indian Farming 17, 43–45. 
Rani, R., Srivastava, O.P., 1997. Vermicompost: a potential supplement to nitroge-nous 
fertilizer in rice nutrition. Int. Rice Res. Notes 22, 30–31. 
Reicosky, D.C., Deaton, D.E., 1979. Soybean water extraction, leaf water potential 
and evapo-transpiration during drought. Agron. J. 7, 45–50. 
Roy, S.K., Sharma, R.C., Trehan, S.P., 2001. Integrated nutrient management by using 
farmyard manure and fertilizers in potato–sunflower–paddy rice rotation in the 
Punjab. J. Agric. Sci. 137, 271–278. 
Rudrappa, L., Purakayestha, T.J., Singh, D., Bhadraray, S., 2006. Long-term manuring 
and fertilization effects on soil organic carbon pools in a Typic Haplustept of 
semi-arid sub-tropical India. Soil Till. Res. 88, 180–192. 
Sarkar, M.C., Sachdev, M.S., Datta, S.P., 1998. Interaction of soil organic matter with 
nutrients. Bull. Indian Soc. Soil Sci. 19, 90–102. 
Sharma, B.M., Singh, R.V., 2003. Soil test and crop need based fertilizer recommen-dations 
for field crops. In: Proceedings of Training Workshop on Soil Testing 
for Balanced and Integrated Use of Fertilizers and Manures, PAU, Ludhiana, pp. 
106–121. 
Sharma, P.K., Ladha, J.K., Verma, T.S., Bhagat, R.M., Padre, A.T., 2003. Rice–wheat 
productivity and nutrient status in a lantana – (Lantana spp.) amended soil. Biol. 
Fertil. Soils 37, 108–114. 
Singh, M., Reddy, D., Tripathi, A.K., 2000. Potassium status of soil and uptake as 
influenced by integrated use of FYM and fertilizer N in soybean–wheat for seven 
years in Vertisols. J. Potassium Res. 16, 48–51. 
Singh, M., Reddy, S.R., Singh, V.P., Rupa, T.R., 2007. Phosphorus availability to rice 
(Oriza sativa L.)–wheat (Triticum estivum L.) in a Vertisol after eight years of 
inorganic and organic fertilizer additions. Bioresour. Technol. 98, 1474–1481. 
Snyder, J.D., Trofymow, J.A., 1984. A rapid accurate wet oxidation diffusion procedure 
for determining organic and inorganic carbon in pot and soil samples. Commun. 
Soil Sci. Plant Anal. 15, 587–597. 
Subba Rao, A., Srivastava, S., 2001. Soil Test Based Fertilizer Recommendations for 
Targeted Yields of Crops. Indian Institute of Soil Science, Bhopal, India, pp. 1–326. 
Subbiah, B.V., Asija, G.L., 1956. A rapid method for the estimation of available nitro-gen 
in soils. Curr. Sci. 25, 259–260. 
Swarup, A., Wanjari, R.H., 2000. Three Decades of All India Coordinated Research 
Long Term Fertilizer Experiments for Studying Changes in Fertility Crop Pro-ductivity 
and Sustainability. Indian Institute of Soil Science, Bhopal, India. 
Veihmeyer, F.Y., Hendrickson, A.H., 1948. Soil density and root penetration. Soil Sci. 
65, 487–493. 
Walkley, A., Black, I.A., 1934. An examination of the Degtjareff method for determin-ing 
soil organic matter and a proposed modification of the chromic acid titration 
method. Soil Sci. 37, 29–38. 
Wallace, J.S., 1996. The water balance of mixed tree-crop systems. In: Ong, C.K., 
Huxley, P. (Eds.), Tree–crop Interactions, A Physiological Approach. CAB Inter-national, 
Wallingford, UK, pp. 73–158. 
Wander, M., 2004. Soil organic matter fractions and their relevance to soil function. 
In: Magdoff, F.R., Weil, R.R. (Eds.), Soil Organic Matter in Sustainable Agriculture. 
CRC, Boca Raton, pp. 67–102. 
Watanabe, F.S., Olsen, S.R., 1965. Test of an ascorbic acid method for determining 
phosphorus in water and NaHCO3 extracts from soils. Soil Sci. Soc. Am. Proc. 29, 
677–678. 
Williams, C.H., Steinbergs, A., 1959. Soil sulphur fraction as chemical indices of 
available sulphur in soils. Aust. J. Soil Res. 10, 340–352. 
Yadav, R.L., Subba Rao, A.V.M., 2002. Atlas of cropping systems in India. PDCSR 
Bulletin No. 2001-2, Project Directorate for Cropping Systems Research. Modipu-ram, 
Meerut, Uttar Pradesh. 
Yadav, R.L., Dwivedi, B.S., Prasad, K., Tomar, O.K., Shurpali, N.J., Pandey, P.S., 2000. 
Yield trends and changes in soil organic-C and available NPK in a long-term 
rice–wheat system under integrated use of manures and fertilizers. Field Crops 
Res. 68, 219–246. 
Yadvinder-Singh, Bijay-Singh, Ladha, J.K., Khind, C.S., Khera, T.S., Bueno, C.S., 2004. 
Effects of residue decomposition on productivity and soil fertility in rice–wheat 
rotation. Soil Sci. Soc. Am. J. 68, 854–864. 
Zhang, H., Oweis, T.Y., Garabet, Y., Pala, M., 1998. Water use efficiency and transpi-ration 
efficiency of wheat under rainfed condition and supplementing irrigation 
in a Mediterranean type environment. Plant Soil 201, 295–305.

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Long-term effect of nutrient management on soil fertility and soil organic carbon pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of subtropical India

  • 1. Field Crops Research 136 (2012) 32–41 Contents lists available at SciVerse ScienceDirect Field Crops Research jou rnal h om epage: www.elsevier.com/locate/fcr Long-term effect of nutrient management on soil fertility and soil organic carbon pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of subtropical India P.C. Moharana, B.M. Sharma, D.R. Biswas∗, B.S. Dwivedi, R.V. Singh Division of Soil Science and Agricultural Chemistry, Indian Agricultural Research Institute, New Delhi 110012, India a r t i c l e i n f o Article history: Received 18 May 2012 Received in revised form 29 June 2012 Accepted 2 July 2012 Keywords: Soil fertility Soil organic carbon pools Nutrient management Carbon management index Pearl millet–wheat cropping system a b s t r a c t We studied the long-term effect of nutrient management on soil fertility and soil organic carbon (SOC) pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of subtropical India. Sig-nificant build-up in soil fertility in terms of alkaline KMnO4-N, Olsen-P, NH4OAc-K and CaCl2-S as well as SOC pools namely, total organic carbon (TOC), Walkley and Black organic carbon (WBC), labile organic carbon (LBC) and microbial biomass carbon (MBC) were maintained under FYM and integrated nutrient management involving FYM and NPK than unfertilized control plot in 0–15 and 15–30 cm soil depths. The highest values of TOC (11.48 g kg−1) and WBC (7.86 g kg−1) were maintained in FYM treated plot, while the highest values of LBC (1.36 g kg−1) and MBC (273 mg kg−1) were found in FYM + NPK. The magnitude of change in pools of SOC in sub-surface (15–30 cm) soil was low as compared to the surface soil (0–15 cm). Significant increase in all the pools of SOC in FYM treated plots indicates the importance of application of organic manure like FYM in maintaining organic carbon in soil. Highly strong relationships were exhibited between LBC and MBC with yield, indicating that these pools are more important for nutrient turn-over and their availability to plants than total SOC. Carbon management index revealed that integrated nutri-ent management could be followed for enhancing crop productivity, nutrient availability and soil carbon pools for long-term. These results conclude that for sustainable crop production and maintaining soil quality, input of organic manure like FYM is of major importance and should be advocated in the nutrient management of intensive cropping system for improving soil fertility and biological properties of soils. © 2012 Elsevier B.V. All rights reserved. 1. Introduction Soil organic carbon (SOC) is the most important component in maintaining soil quality because of its role in improving physi-cal, chemical and biological properties of the soil. Stagnation or decline in yields has been observed in intensive cropping systems in recent times all over the world and India in particular. The reasons ascribed to this phenomenon are quality and quantity of SOC and its impact on nutrient supply (Bhandari et al., 2002; Ladha et al., 2003). The level of SOC at a point of time reflects the long-term balance between addition and losses of SOC, particularly carbon and nitro-gen, under continuous cultivation (Dalal and Mayer, 1986; Dawe et al., 2003; Manna et al., 2005). Changes in agricultural practices often influence both quantity and quality of SOC and its turn-over rates. Application of manure is a common management practice that improves the fertility status of soil and SOC level. As the turn-over of SOC is of paramount importance for sustaining soil quality ∗ Corresponding author. Tel.: +91 11 25841494/965; fax: +91 11 25841529. E-mail address: drb ssac@yahoo.com (D.R. Biswas). and long-term productivity of agricultural systems, measurements of changes in SOC under various nutrient management practices in intensive cropping system are the need of the day. In addition to total SOC, it is also important to determine active carbon frac-tions in soil (Lal, 1994). Small changes in total SOC are difficult to detect because of large background levels and natural variability (Blair et al., 1995; Carter, 2002). Intensive cultivation can decline both total and labile organic carbon in soil (Blair, 2000). Thus, reg-ular additions of organic materials to soil are required to improve and maintain SOC pools as well as to help in governing nutrient fluxes, microbial biomass and their activities and improvement in soil physical properties (Marinari et al., 2000). Labile organic carbon is sensitive to soil management practices and thus provides the better management of carbon dynamics in short-term to medium-term effect than total carbon alone. Soil organic carbon refers to the sum total of different heterogeneous organic substances, which may be simply divided into stable and labile organic carbon fractions (Wander, 2004). Stable SOC fractions are relatively resistant to decompose, take longer time to turn-over and do not take part in several nutrient cycling. However, labile SOC fractions are readily accessible source of microorganisms, turn-over 0378-4290/$ – see front matter © 2012 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.fcr.2012.07.002
  • 2. P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 33 rapidly (weeks or months) and have impact on plant nutrient sup-ply. Labile SOC fractions could indicate changes in soil quality due to management practices more rapidly than measuring changes in the magnitude of total SOC (Ding et al., 2006). Some of the impor-tant labile pools of SOC currently used as indicators of soil quality are microbial biomass carbon (MBC), mineralizable organic car-bon (Cmin), particulate organic carbon (POC) and KMnO4-oxidizable labile organic carbon (LBC). Highly recalcitrant or passive pool of SOC is very slowly altered by microbial activities and hence hardly serves as a good indicator for judging soil quality. Pearl millet–wheat cropping system is the second most impor-tant system after rice–wheat in Indo-Gangetic Plain of India (Kumar et al., 2005). This cropping system is followed in an estimated area of 2.26 million ha in India (Yadav and Subba Rao, 2002). It is being increasingly realized that when crops are grown in sys-tem, the fertilizer requirements of the cropping system as a whole is important than that of the individual crop (Sharma and Singh, 2003). The soil fertility status and their availability to plants are strongly affected by nutrient management practices and cropping systems (Bhandari et al., 2002; Kundu et al., 2002). The loss of soil fertility, in many developing countries, due to continuous nutri-ent depletion by crops without adequate replenishment poses an immediate threat to food and environmental securities. There is a need to revive the age-old practice of application of farmyard manure (FYM) to maintain soil fertility and also to supplement many essential plant nutrients for crop productivity. The fertilizer recommendations based on targeted yield equations have been well established in India through number of follow-up trials and frontline demonstrations (Subba Rao and Srivastava, 2001). How-ever, information on long-term effect of these recommendations used with or without FYM in a pearl millet–wheat cropping system on soil fertility and different pools of SOC is limited. Keeping these points in mind, the present field experiment was conducted to see the long-term effect of soil fertility and pools of soil organic carbon as influenced by nutrient management with FYM and chemical fer-tilizers applied either alone or in combination under a 6-year-old pearl millet–wheat cropping system. We hypothesized that long-term application of carbon through FYM and N, P and K through fertilizers will have distinct effects on the soil fertility, nutrient availability and soil organic carbon pools under a 6-year-old pearl millet–wheat cropping system in an Inceptisol of subtropical India. 2. Materials and methods 2.1. Site descriptions The present field experiment on pearl millet–wheat cropping system was initiated in monsoon 2003 at the research farm of Indian Agricultural Research Institute (IARI), New Delhi under the network of All India Coordinated Research Project (AICRP) on Soil Test Crop Response (STCR) Correlation Studies. The experimental field is located at 28.4◦N latitude, 77.1◦E longitude and at an ele-vation of about 250 m above the mean sea level. The climate of the experimental site is semi-arid with hot and dry summer and severe cold winter intervened by short monsoon period of 2–3 months spreading from July to September. On the basis of 30 years climatic data, the mean maximum temperature, minimum temper-ature and rainfall are 31.2 ◦C, 17.0 ◦C and 821 mm, respectively. The experimental area represents Indo-Gangetic Plains which belongs to Mehrauli series. The soil is Inceptisol having sandy loam texture, alkaline reaction and free from salinity occurring on nearly level to very gently sloping land. Soil structure is sub-angular blocky. Clay mineralogy is dominated by illite along with presence of kaolinite, chlorite and chloritized montmorillonite. Taxonomically it belongs to Typic Haplustept. 2.2. Experimental design and treatments The field experiment on pearl millet–wheat cropping system was designed under AICRP-STCR with three different nutrient man-agement practices along with a control in a randomized block design with four replications. The treatments selected for this study consisted of (i) unfertilized/unmanured control (Control); (ii) FYM alone @ 20 Mg ha−1 to each crop (FYM); (iii) STCR-based fertil-izer NPK alone for grain yield target of 2.5 Mg ha−1 of pearl millet and 5.0 Mg ha−1 of wheat (NPK); and (iv) STCR-based integrated use of 10 Mg ha−1 of FYM + fertilizer NPK for grain yield target of 2.5 Mg ha−1 of pearl millet and 5.0 Mg ha−1 of wheat (FYM + NPK). The purpose of selecting FYM alone was to investigate the long-term use of organic manure alone on yield and soil productivity. Application of FYM @ 20 Mg ha−1 was adopted so as to provide 100 kg N ha−1. The treatments, NPK fertilizer alone and FYM + NPK were selected to investigate the effect of STCR-based fertilizer NPK management (i.e. fertilizers only) and STCR-based integrated man-agement of FYM + fertilizers NPK on soil available nutrient and pools of SOC at the same level of targeted yield production as established by Ramamoorthy et al. (1967). In the present field experiment, the soil test based fertilizer adjustment equations with and without FYM for targeted levels of grain production of pearl millet (2.5 Mg ha−1) and wheat (5.0 Mg ha−1) grown in sequence for 6 years as developed by Sharma and Singh (2003) under AICRP on Soil Test Crop Response Correlation at IARI, New Delhi were used for fertilizer management in NPK and FYM + NPK treatments, respectively. The following fertilizer adjustment equations were used for calculation of inputs of nutrients from fertilizers and FYM: Fertilizer adjustment equations for pearl millet Without FYM With FYM FN = 69.7 T − 0.36 SN FN = 53.5 T − 0.29 SN − 2.23 FYM FP2O5 = 57.3 T − 4.81 SP FP2O5 = 47.2 T − 3.29 SP − 2.48 FYM FK2O = 39.2 T − 0.28 SK FK2O = 28.8 T − 0.17 SK − 1.35 FYM Fertilizer adjustment equations for wheat Without FYM With FYM FN = 43.0 T − 0.44 SN FN = 38.5 T − 0.41 SN − 1.64 FYM FP2O5 = 37.9 T − 6.02 SP FP2O5 = 27.8 T − 4.12 SP − 1.72 FYM FK2O = 23.4 T − 0.33 SK FK2O = 20.4 T − 0.29 SK − 0.88 FYM where FN, FP2O5 and FK2O stand for fertilizer rate (kg ha−1) of N, P2O5 and K2O, respectively; SN, SP and SK stand for soil test values (kg ha−1) for KMnO4-N (Subbiah and Asija, 1956), Olsen-P (Olsen et al., 1954) and NH4OAc-K (Hanway and Heidel, 1952), respec-tively; FYM stands for dose of farmyard manure (Mg ha−1) and T denotes the targeted yield (Mg ha−1). Based on the above equa-tions, the inputs of nutrients from fertilizers and FYM under each treatment are presented year-wise in Table 1. 2.3. Soil sampling and crop management Prior to start of the experiment, two exhaustive crops namely, pearl millet during monsoon and wheat during winter season were grown to bring the uniformity in soil fertility in the field. After harvesting the second exhaustive crop of wheat, the com-posite initial soil samples from surface (0–15 cm) and sub-surface (15–30 cm) layer were collected and analyzed for physicochemical properties. The field was divided into four equal size strips and each strip was divided into four equal size plots of 20 m × 4 m each. The treatments were distributed randomly using a randomized block design. Before application of fertilizer doses in each crop, plot-wise soil samples from 0 to 15 cm and 15 to 30 cm depth were collected and analyzed for available N, P and K status and soil test based fertilizer doses for NPK and FYM + NPK treatments were calculated from the fertilizer adjustment equations for pearl millet and wheat as mentioned earlier. The pearl millet (cv Pusa 383) and wheat (cv HD 2687) were grown in sequence for 6 years
  • 3. 34 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 Table 1 Year-wise input of nutrients from fertilizers and FYM under each treatment in a 6-year-old pearl millet–wheat cropping system using targeted yield equations. Year Treatments Control FYM (Mg ha−1) NPK NPK + FYM N (kg ha−1) P2O5 (kg ha−1) K2O (kg ha−1) N (kg ha−1) P2O5 (kg ha−1) K2O (kg ha−1) FYM (Mg ha−1) Pearl millet 2003 0 20.0 108.0 36.5 45.8 59.3 19.8 26.6 10.0 2004 0 20.0 109.8 27.8 43.5 53.6 11.9 26.5 10.0 2005 0 20.0 110.7 21.1 44.0 52.7 11.9 26.2 10.0 2006 0 20.0 111.6 15.5 42.8 50.0 7.7 23.6 10.0 2007 0 20.0 111.3 17.7 44.2 50.0 5.4 23.7 10.0 2008 0 20.0 110.9 12.3 43.4 50.0 1.4 22.7 10.0 Wheat 2003–04 0 20.0 134.9 47.3 53.1 100.7 18.0 38.0 10.0 2004–05 0 20.0 136.7 43.2 52.5 93.3 21.7 37.8 10.0 2005–06 0 20.0 137.6 33.0 51.2 93.3 20.0 25.8 10.0 2006–07 0 20.0 138.0 25.8 51.0 88.8 10.6 30.9 10.0 2007–08 0 20.0 139.3 25.8 49.8 88.4 8.9 28.2 10.0 2008–09 0 20.0 139.3 23.3 49.4 88.0 8.9 27.7 10.0 with the same treatments. Fertilizer materials used were urea, diammonium phosphate (DAP) and muriate of potash (MOP). Half quantity of N and full quantities of P and K were applied as basal in both the crops by broadcasting followed by mixing by disc plough. Remaining half of N was applied as top-dressing at knee-height stage (45 days after sowing) in pearl millet and at panicle emergence (55 days after sowing) in wheat. Irrigation and other agronomic practices were carried out as and when required. 2.4. Soil analysis The initial soil samples from surface (0–15 cm) and sub-surface (15–30 cm) were analyzed for mechanical composition, pH, elec-tric conductivity (EC), cation exchange capacity (CEC), bulk density (BD), organic carbon and available nutrients (N, P, K and S) following standard procedures. The physicochemical properties of the initial soil under study are presented in Table 2. After completion of six cropping cycles of pearl millet–wheat, soil samples from surface (0–15 cm) and sub-surface (15–30 cm) were collected. In each plot the soil was collected from ten points randomly, and mixed into one sample. After carefully removing the surface organic materials and fine roots, each mixed soil sam-ple was divided into two parts. One part of the fresh soil sample (∼100 g) was sieved through a 2-mm screen and immediately kept in a refrigerator at 4 ◦C in plastic bags for a few days to stabilize the microbiological activity and subsequently analyzed for biologi-cal properties. The other part of the sample was air-dried in shade, ground to pass through a 2-mm sieve and used for the estimation of soil chemical properties. The alkaline potassium permanganate oxidizable soil N (KMnO4-N) as an index of available N was determined as per the procedure given by Subbiah and Asija (1956). Olsen-P was extracted with 0.5 M sodium bicarbonate (pH 8.5) as outlined by (Olsen et al., 1954) and the P content in the extract was deter-mined using ascorbic acid as reducing agent (Watanabe and Olsen, 1965) by a spectrophotometer. Available potassium (NH4OAc-K) was extracted with neutral 1 N ammonium acetate (Hanway and Heidel, 1952) and estimated by a flame photometer; while available sulphur (CaCl2-S) was determined by extracting the soil sample with 0.15% CaCl2 (Williams and Steinbergs, 1959) and sulphur con-tent in the extract was estimated by turbidimetric method (Chesnin and Yien, 1950). Total organic carbon (TOC) in soil was determined by wet oxida-tion method (Snyder and Trofymow, 1984). While, organic carbon content was determined by wet oxidation method of Walkley and Black (1934). The Walkley and Black method is based on oxidation of organic matter by K2Cr2O7 with H2SO4 heat of dilution. Some-what less of the total organic matter is oxidized by this method, because the heating obtained by the H2SO4 dilution is less and thus Walkley–Black method tends to underestimate SOC concen-trations. Studies have shown that the recovery of organic C using the Walkley and Black procedure ranged from 60 to 86% with a mean recovery being 76% as a result of the incomplete oxidation (Walkley and Black, 1934). To overcome the concern of incom-plete digestion of the organic matter, TOC in soil is determined by Table 2 Physicochemical properties and fertility status of the experimental soil before commencing the study. Soil characteristics Soil depth Method followed 0–15 cm 15–30 cm Mechanical composition Bouyoucos (1962) Sand (%) 56.5 56.4 Silt (%) 25.0 26.0 Clay (%) 18.5 17.6 Texture Sandy loam Sandy loam pH 8.44 8.44 Jackson (1973) EC (dS m−1) 0.32 0.25 Jackson (1973) Bulk density (Mg m−3) 1.59 1.72 Veihmeyer and Hendrickson (1948) Organic carbon (g kg−1) 5.2 2.6 Walkley and Black (1934) CEC [cmol(p+) kg−1 soil] 10.7 6.15 Jackson (1973) KMnO4-N (kg ha−1) 183 168 Subbiah and Asija (1956) Olsen-P (kg ha−1) 22.4 6.3 Olsen et al. (1954) NH4OAc-K (kg ha−1) 188 134 Hanway and Heidel (1952) CaCl2-S (kg ha−1) 10.6 8.2 Williams and Steinbergs (1959)
  • 4. P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 35 wet oxidation method (Snyder and Trofymow, 1984) where organic matter in the sample is converted to CO2 which is then quantified. For this, air-dried sample of soil (1.0 g, 1-mm sieve) was pre-treated with 3.0 ml of 2 N HCl to remove carbonates, then soil was oxidized with potassium dichromate (K2Cr2O7) in presence of 25 ml of mix-ture of concentrated H2SO4 and H3PO4 in a ratio of 3:2 by heating on a digestion block at 120 ± 1 ◦C for 2 h. The evolved CO2 was trapped in 2 N NaOH and amount of CO2 (entrapped) was measured by back titration with 0.5 N HCl using phenolphthalein as indicator. Total carbon content was computed based on the amount of CO2 evolved. Microbial biomass carbon (MBC) was estimated by the chloroform-fumigation incubation method of Jenkinson and Powlson (1976). Sample of soil (10.0 g) rewetted to 40–60% WHC (water holding capacity) was fumigated with ethanol-free chloro-form (CHCl3) in a vacuum desiccator. Following fumigant removal, the soil was extracted with 0.5 M K2SO4 (soil:solution ratio of 1:2.5) through 30 min horizontal shaking at 200 rpm and filtered. A duplicate soil sample without fumigation (unfumigated) was also extracted with 0.5 M K2SO4 in a similar fashion. Both the extracts of fumigated and unfumigated soil were subjected to wet oxida-tion separately with potassium persulphate and 0.025 N H2SO4 by heating on a digestion block at 120 ± 1 ◦C for 2 h. Evolved CO2 was then trapped in 0.1 N NaOH solution. The amount of CO2 evolved was determined by back titration with 0.05 N HCl. The MBC was computed by subtracting the amount of CO2 evolved in fumigated soil from that of unfumigated one. A sub-sample of soil was drawn for moisture determination so as to express the data on oven dry weight basis. The amount of the MBC in soil was calculated as fol-lows: Microbial biomass carbon = OCF − OCUF KEC where OCF and OCUF are the organic carbon extracted from fumi-gated and unfumigated soil, respectively (expressed on oven dry basis), and KEC is the efficiency of extraction. A value of 0.45 is con-sidered as a general KEC value for microbial extraction efficiency and used for calculation. Labile carbon (LBC) in soil was determined by following the pro-cedure of Blair et al. (1995). Moist sample of soil (2.0 g) was taken in centrifuge tube and oxidized with 25 ml of 333 mM KMnO4 by shaking on a mechanical shaker for 1 h. The tubes were then cen-trifuged for 5 min at 4000 rpm and 1.0 ml of supernatant solution was diluted to 250 ml with double distilled water. The concen-tration of KMnO4 was measured at 565 nm wavelength using a spectrophotometer. The change in concentration of KMnO4 is used to estimate the amount of carbon oxidized assuming that 1.0 mM of MnO4 − was consumed (Mn7+→ Mn2+) in the oxidation of 0.75 mM (9.0 mg) of carbon. 2.5. Plant and FYM analysis Plot-wise samples of wheat grain and straw were dried at 65 ± 1 ◦C in oven and ground in a Wiley mill for chemical analy-sis. Total nitrogen was determined after digesting the sample with concentrated H2SO4 using digestion mixture of K2SO4 and CuSO4 (10:1) followed by steam distillation in a micro-Kjeldahl nitrogen distillation unit (Jackson, 1973). For other nutrients, grain and straw samples were digested with di-acid mixture of HNO3:HClO4 (10:4 mixing ratio) and subsequently used for analysis. Total phosphorus content in the acid digest was determined by a spectrophotometer after developing vanadomolybdo–phosphate yellow colour com-plex as described by Jackson (1973). Potassium content in the acid digest was determined by a flame photometer (Jackson, 1973) and sulphur content by turbidimetric method (Chesnin and Yien, 1950). Fresh sample of FYM was analyzed for total C, N, P, K and S as in case of plant analysis. Moisture content was determined by gravimetric method. The fresh sample of FYM had 0.50% N, 0.32% P, 0.46% K, 0.32% S, C/N ratio of 26.5 and 8.9% moisture content (w/w). 2.6. Carbon management index The carbon management index (CMI) was obtained according to the mathematical procedures used by Blair et al. (1995), which are described below: CMI = CPI × LI × 100 (1) where CPI is the carbon pool index and LI is the lability index. The CPI and the LI are calculated as follows: Carbon pool index (CPI) = Total C in treated sample (mg g−1) Total C in reference soil (mg g−1) (2) Lability index (LI) = Lability of C in sample soil Lability of C in reference soil (3) Lability of C (L) = C in fraction oxidized by KMnO4 (mg labile C g−1 soil) C remaining unoxisized by KMnO4 (mg labile C g−1 soil) = LBC (Labile C) NLC (Non-labile C) (4) The native uncultivated soil near the experimental field was used as the reference, with a CMI defined as 100. The labile C was considered as the portion of soil organic C that was oxidized by 333 mM KMnO4 (Blair et al., 1995). The non-labile C (NLC) was estimated from the difference between total organic C pool as determined by wet oxidation method (Snyder and Trofymow, 1984) and the labile C (NLC = TOC − LBC). 2.7. Statistical analysis For statistical analysis of data, Microsoft Excel (Microsoft Cor-poration, USA) and SPSS (Statistical Package for the Social Science, SPSS, Inc., Chicago, USA) window version 16.0 were used. Analy-sis of variance (ANOVA) was done as per the procedure outlined by Gomez and Gomez (1984). The significant differences between treatments were compared with the least significance (LSD) at 5% level of probability. Pearson’s correlations matrix was used to eval-uate the relationships between yields, nutrients uptake by wheat and soil available nutrients and different pools of organic carbon. Unless otherwise stated, the level of significance referred to in the results is P < 0.05. 3. Results and discussion 3.1. Changes in soil fertility 3.1.1. Alkaline KMnO4-N Significant increase in alkaline KMnO4-N in surface soil (0–15 cm) was maintained in plots receiving FYM (262 kg N ha−1) and integrated use of FYM + NPK fertilizer (270 kg N ha−1) over NPK treated (182 kg N ha−1) and unfertilized control plots (178 kg ha−1) (Table 3). However, increases in KMnO4-N in sub-surface soil (15–30 cm) were observed only under plots receiving FYM and FYM + NPK fertilizer over unfertilized control. Increase in KMnO4-N in surface soil was 47.2 and 51.7% in FYM and FYM + NPK fertilizer treated plots over control, respectively. The increase in KMnO4-N in FYM amended plots is attributed to the increase in total SOC and might have been partially due to a slow release of N from manure, as suggested by Yadav et al. (2000), Gami et al. (2001)
  • 5. 36 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 Table 3 Effect of FYM and fertilizers on KMnO4-N and Olsen-P in a 6-year-old pearl millet–wheat cropping system. Treatments KMnO4-N (kg ha−1) Olsen-P (kg ha−1) 0–15 cm 15–30 cm 0–15 cm 15–30 cm Control 178 150 18.3 5.5 FYM 262(47.2)a 169(12.7) 20.7 (13.1) 8.2 (49.1) NPK 182 (2.2) 163 (8.7) 22.4 (22.4) 7.3 (32.7) FYM + NPK 270 (51.7) 181 (20.7) 24.9 (36.1) 7.7 (40.0) SEM (±) 3.93 4.77 0.82 0.82 LSD (P = 0.05) 12.6 15.3 2.61 NS a Figure in parentheses indicate percent increase over control. and Bhandari et al. (2002). Farmyard manure is known to stimu-late biological N2 fixation in the soil, which may also have been responsible for the increase in soil N (Ladha et al., 1989) over NPK treatment, apart from FYM’s own N contribution. In addition, soils under NPK + FYM treated plots produced more biomass and, therefore, possibly had more extensive root systems that may have contributed to increased N levels. It is evident from this study that higher values of KMnO4-N were observed in surface soil as com-pared to sub-surface soil irrespective of treatments. This might be due to higher organic carbon content observed in surface as com-pared to sub-surface soil. 3.1.2. Olsen-P Significantly greater amount of Olsen-P in surface soil was main-tained in all the three treatments receiving manure and fertilizer applied either alone or in combination over unfertilized control plot (Table 3). The build-up of Olsen-P in surface soil (0–15 cm depth) were 24.9, 22.4 and 20.7 kg P ha−1 in plots receiving FYM + NPK, NPK and FYM, respectively as against 18.3 kg P ha−1 in unfertilized con-trol plot. The Olsen-P increased by 36.1, 22.4 and 13.1% in plots receiving FYM + NPK, NPK and FYM, respectively over unfertilized plot. However, no significant differences were found in sub-surface soil where Olsen-P varied from 5.5 to 8.2 kg P ha−1 in different nutrient management practices. The increase in Olsen-P in plots receiving FYM applied either alone or in combination with NPK pos-sibly due to release of organically bound P during decomposition of organic matter, solubilization of soil P by organic acids produced during decomposition of organic matter. Continuous application of FYM also reduced the activity of polyvalent cations such as Ca, Fe, and Al due to chelation which, in turn, considered responsible for reduction in P-fixation (Gupta et al., 1988). The application of FYM increased Olsen-P because of its P content, and possibly by increas-ing retention of P in soil. A positive effect of FYM on P availability was also observed by Roy et al. (2001). This might be due to the fact that the major P fraction added through FYM is in the organic pool, which mineralized slowly with time (Yadvinder-Singh et al., 2004). Increase in Olsen-P in NPK fertilizer is due to residual effect of higher amount of fertilizer P applied annually in this treatment as compared to no application of fertilizer in FYM and low appli-cation of fertilizer P in FYM + NPK treated plots. Biswas and Benbi (1997) reported considerable build-up of Olsen-P with application of phosphatic fertilizer, while those not receiving phosphatic fer-tilizer annually have shown a decline in Olsen-P. Similarly, earlier reports suggested that long-term application of P fertilizer in excess of crop requirement can build-up large amounts of P in soil in both the inorganic and organic pools (Singh et al., 2007). 3.1.3. NH4OAc-extractable-K The NH4OAc-extractable-K (NH4OAc-K) showed significant changes in both the depths in different treatments. The NH4OAc- K content of soil under different treatments varied from 169 to 245 kg ha−1 in surface soil and from 119 to 152 kg ha−1 in Table 4 Effect of FYM and fertilizers on NH4OAc-K and CaCl2-S in a 6-year-old pearl millet–wheat cropping system. Treatments NH4OAc-K (kg ha−1) CaCl2-S (kg ha−1) 0–15 cm 15–30 cm 0–15 cm 15–30 cm Control 169 119 13.2 8.4 FYM 245(45.0)a 152(27.7) 21.3 (61.4) 9.6 (14.3) NPK 184 (8.9) 123 (3.4) 16.4 (24.2) 9.2 (9.5) FYM + NPK 214 (26.6) 137 (15.1) 22.2 (68.2) 9.4 (11.9) SEM (±) 10.3 4.70 0.54 0.41 LSD (P = 0.05) 33.1 15.1 1.71 NS a Figure in parentheses indicate percent increase over control. sub-surface soil (Table 4). Plots received with FYM maintained sig-nificantly highest amount of NH4OAc-K (245 kg ha−1) followed by integrated use of FYM + NPK (214 kg ha−1), NPK alone (184 kg ha−1) and control (169 kg ha−1) in surface soil (0–15 cm). In contrast to Olsen-P, NH4OAc-K declined significant in treatments that received NPK fertilizers over 6 years, suggesting that the current rate of K application in the plots under NPK treatment was insufficient to sustain soil K fertility in the present pearl millet–wheat sys-tem where crop residues, particularly wheat straw, are removed from the fields. On the contrary, application of FYM resulted in an increase in NH4OAc-K due to more release of non-exchangeable K from the soil as FYM increased soil cation exchange capacity, which might have resulted in increased NH4OAc-K and its utilization by crops (Blake et al., 1999), besides FYM’s own K supply. The plots under FYM treatments either alone or in combination with NPK fertilizer showed the maximum accumulation of exchangeable K, possibly because of the increased sorption of K following continu-ous addition of FYM (Poonia et al., 1986; Mehta et al., 1988). This demonstrates that inputs of K with organic materials resulted in a build-up of soil NH4OAc-K because FYM generally contains high amounts of K. Considerable build-up of NH4OAc-K under FYM + NPK treatment in a long-term fertilizer experiment was reported by oth-ers (Nand Ram, 1998; Singh et al., 2000). Similar trend in NH4OAc-K due to different treatments was found in sub-surface soil. However, the levels of NH4OAc-K content were lower in sub-surface than surface soil. 3.1.4. CaCl2-extractable-S The 0.15% CaCl2-extractable-S (CaCl2-S) content in surface soil (0–15 cm) was significantly higher in FYM + NPK treatment (22.2 kg ha−1) followed by FYM alone (21.3 kg ha−1) and least in unfertilized control plot (13.2 kg ha−1) (Table 4). However, no sig-nificant effect was observed in sub-surface soil. The increase in CaCl2-S in 0–15 cm soil depth was 68.2 and 61.4% in FYM + NPK and FYM treated plots over control. This increase is attributed to the accretion of sulphur through FYM application. Sarkar et al. (1998) reported that application of various organic sources like compost, FYM, green manure and crop residues can supply adequate quanti-ties of sulphur to crops. Nambiar and Abrol (1989) also reported from the long-term fertilizer experiments conducted at several locations that the treatment involving un-interrupted yearly appli-cation of FYM could maintain adequate status of sulphur to guard against its deficiency in soils. 3.2. Pools of soil organic carbon 3.2.1. Total organic carbon Continuous application of FYM either alone or in com-bination with NPK resulted in considerable accumulation of total SOC in 0–15 cm soil layer than unfertilized control plots (Table 5). Soils under the FYM + NPK treated plots resulted in higher total SOC in the 0–15 cm soil layer over those
  • 6. P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 37 Table 5 Carbon management index (CMI) as affected by application of FYM and fertilizers in a 6-year-old pearl millet–wheat cropping system. Treatment TOC (g kg−1) LBC (g kg−1) NLC (g kg−1) CPI LC LI CMI 0–15 cm depth Control 7.53 0.79 6.74 1.00 0.12 1.00 100 FYM 11.48 1.20 10.28 1.52 0.12 1.52 232 NPK 8.50 0.94 7.56 1.13 0.12 1.19 134 FYM + NPK 11.08 1.36 9.72 1.47 0.14 1.72 253 SEM (±) 0.39 0.07 0.36 LSD (P = 0.05) 1.25 0.23 1.14 15–30 cm depth Control 5.87 0.64 5.23 1.00 0.12 1.00 100 FYM 7.86 0.84 7.02 1.34 0.12 1.31 176 NPK 6.37 0.70 5.67 1.09 0.12 1.09 119 FYM + NPK 7.85 0.87 6.98 1.34 0.12 1.36 182 SEM (±) 0.19 0.03 0.20 LSD (P = 0.05) 0.60 0.10 0.64 TOC, total organic carbon; LBC, labile organic carbon; NLC, non-labile C; CPI, carbon pool index; LC, lability of C; LI, lability index; CMI, carbon management index. under the NPK treated plots. The TOC in surface soil were in the order of FYM (11.48 g kg−1) > FYM + NPK (11.08 g kg−1) > NPK (8.50 g kg−1) > unfertilized control (7.53 g kg−1). However, increase in TOC was more in surface as compared to sub-surface soil, which indicate that higher accumulation of organic carbon due to appli-cation of FYM was confined to surface soil. The increase in TOC in FYM and FYM + NPK treatments in surface layer was 52.5 and 47.1% over unfertilized control, while they were 35.0 and 30.3% greater over NPK treatment, respectively. No significant difference in TOC in FYM and FYM + NPK treatments although the amount of FYM applied during the study period in FYM treated plot was dou-ble of the amount applied in FYM + NPK treated plot. This might be due to more turn-over of root biomass in FYM + NPK treatment because of better growth and higher average yields obtained during the study period of both the crops in FYM + NPK treatment as com-pared to FYM treatment. It is evident that irrespective of depths, greater accumulation of TOC was observed with FYM treatment while control plot showed the lowest value. In the present study, the above-ground biomass was removed and there was no incor-poration of residues to the soil. The only input of organic matter was through root biomass. Thus, increase in TOC in optimal and balanced application of NPK is because of greater input of root biomass due to better crop growth. It was supported by the data published by Manjaiah and Singh (2001) who noted an annual esti-mated organic carbon input to the tune of 8190 and 2780 kg ha−1 in 100% NPK + FYM and 100% NPK treatments, respectively. Simi-lar effects of manure and inorganic fertilizer applications on soil organic C has also been reported from Rothamsted classical exper-iments (Jenkinson, 1991) and long-term experiments elsewhere (Kukreja et al., 1991; Campbell et al., 1996; Biswas and Benbi, 1997; Potter et al., 1998; Rudrappa et al., 2006). 3.2.2. Walkley and Black organic carbon Walkley and Black method mostly determines both labile and small part of non-labile organic carbon which is the readily accessi-ble source of carbon to microorganisms and have direct impact on plant nutrient supply. The monitoring of soil organic carbon either for agricultural sustainability or environmental quality has been done in most of the studies by Walkley and Black method (Walkley and Black, 1934). In the present study, the plots that received FYM (7.30 g kg−1) and FYM + NPK (6.50 g kg−1) had significantly higher build-up in WBC over NPK treated (5.10 g kg−1) and unfertilized control plots (4.90 g kg−1) in the surface soil (Fig. 1). The increase in build-up in WBC under FYM and FYM + NPK treatments was 43.1 and 27.5% greater over treatment receiving NPK fertilizer alone and Fig. 1. Changes in Walkley and Black organic carbon as influenced by application of FYM and fertilizers after wheat grown in a 6-year-old pearl millet–wheat cropping system. Error bars represent standard deviation of the mean. 49.0 and 32.7% greater over treatment receiving no fertilizer or manure (control). In case of sub-surface soil, the build-up in WBC under plots receiving FYM alone (4.1 g kg−1) and FYM + NPK fertil-izer (3.8 g kg−1) was higher than in the plots receiving only NPK fertilizer (3.0 g kg−1) and in the control (2.5 g kg−1). In general, the values of WBC in sub-surface soils due to application of different treatments were low compared to surface soil. The WBC and TOC showed similar trend with respect to the changes in soil organic car-bon due to different treatments, however, the values of WBC were lower as compared to TOC. The values of this pool of soil organic carbon varied between 58.6 and 65.0% of total soil organic carbon in surface soil. The significantly greater SOC in the fertilized plots over the con-trol may be explained by the greater yield and associated greater amount of root residues and stubbles of all the crops added to the soil (Ghosh et al., 2003). Greater SOC under complete doses of NPK fertilizer as compared to unfertilized soil has also been reported in long-term studies (Swarup and Wanjari, 2000). Application of organic amendments (FYM) also increased the SOM content to a much greater extent than that of inorganic fertilizer alone. This may be attributed to enhanced crop growth which in turn, resulted in increased above and below-ground organic residues (e.g. roots), and thus raised the SOM content. The increased SOM in FYM treated plots also due to slower breakdown rate (less and constant miner-alization rate) of FYM in soil. Kundu et al. (2002) reported that SOC content improved in fertilized plots as compared to the unfertil-ized plots due to C addition through the roots and crop residues, higher humification rate constant, and lower decay rate. Similarly, in a long-term experiment, Masto et al. (2006) observed that the SOC was considerably greater in soils receiving FYM or straw along with NPK fertilizer than in plots receiving merely NPK fertilizer. In this study, the combination of organic and inorganic fertilization enhanced the accumulation of SOC which is consistent with many other studies (Jenkinson, 1991; Kukreja et al., 1991; Biswas and Benbi, 1997; Majumder et al., 2007, 2008; Hao et al., 2008; Banger et al., 2009). 3.2.3. Labile organic carbon The labile organic carbon (LBC) pool or KMnO4 oxidizable car-bon is considered as a useful approach for the characterization of SOC resulting from different soil management practices including cropping systems and application of organic and inorganic sources of nutrients. The values of LBC in surface soil were 1.20, 1.36, 0.94 and 0.79 g kg−1 in FYM, FYM + NPK, NPK and unfertilized control treatments, respectively (Table 5) which were 10.5, 12.3, 11.1 and 10.5% of the TOC, respectively. Similar trend in LBC were observed
  • 7. 38 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 Fig. 2. Changes in microbial biomass carbon as influenced by application of FYM and fertilizers after wheat grown in a 6-year-old pearl millet–wheat cropping system. Error bars represent standard deviation of the mean. in sub-surface soil. The plots received with FYM and FYM + NPK treatments showed significant increase in LBC over NPK and unfertilized control treatments in both surface and sub-surface soil depth. However, the highest value of 1.36 g kg−1 was observed in FYM + NPK treatment in surface soil. This may be due to the application of FYM as well as higher turn-over of root biomass because of better growth and yield of pearl millet and wheat crops under combined application of FYM + NPK as compared to 1.20 g kg−1 in FYM alone. The percent increase in LBC in FYM and FYM + NPK treatments in surface soil was 27.7 and 44.7% over NPK and 51.9 and 72.2% over unfertilized control, respectively. Higher variations in LBC in combined application of FYM + NPK fertilizer indicate that this pool of soil organic C is more sensitive to change due to manuring and fertilization. Higher turn-over of root biomass under integrated nutrient management (FYM + NPK) also might have attributed to higher increase in this pool as compared to other treatments. Our results are in agreement with the values reported by others (Conteh et al., 1997; Rudrappa et al., 2006). Labile soil organic carbon pool is considered as the readily accessible source of microorganisms which turns over rapidly and has direct impact on nutrient supply. Labile soil organic carbon pool generally includes light faction of organic matter, microbial biomass and mineralizable organic matter. Adoption of procedure that can preferentially extract more labile soil organic carbon might be a useful approach for characterizing soil organic carbon and hence soil fertility and nutrient availability to plant resulting from different management practices including cropping systems and application of organic and inorganic sources of nutrients. The significant increase in LBC under integrated nutrient management system (FYM + NPK) indicates its superiority over the manage-ment by organic and chemical fertilizer alone in sustaining crop productivity. 3.2.4. Microbial biomass carbon The microbial biomass carbon (MBC) is an important compo-nent of the SOM that regulates the transformation and storage of nutrients. The soil MBC regulates all SOM transformations and is considered to be the chief component of the active SOM pool. It is evident that the MBC contents in both surface and sub-surface soil were significantly higher in plots receiving FYM + NPK and FYM treated plots compared to NPK fertilizer and unfertilized con-trol plots (Fig. 2). The values of MBC in surface soil varied from 155 mg kg−1 in unfertilized control plot to 273 mg kg−1 in inte-grated nutrient use of FYM + NPK plots, respectively; while it varied from 113 mg kg−1 (control) to 156 mg kg−1 (FYM + NPK) in sub-surface soil. The values of MBC increased by 56.3 and 76.5% under FYM and FYM + NPK treatments in surface soil over control. While, there were 26.7 and 43.0% increase of MBC over NPK fertilizer, respectively. The highest value of MBC due to integrated use of FYM and NPK fertilizer might be due to higher turn-over of root biomass produced under FYM + NPK treatment. Application of NPK fertilizer is not only required for better growth of the crop but also required for synthesis of cellular components of microorganisms. There-fore, higher root biomass under FYM + NPK fertilizer treatment helped in increasing MBC over other treatments. Similar increases in integrated nutrient management with manure + fertilizer have been reported by others (Hopkins and Shiel, 1996; Grego et al., 1998; Dezhi et al., 2007). Although MBC content in soil repre-sent a small fraction i.e. about 1–5% of TOC), however, variation in this pool due to management and cropping systems indicate about the quality of soil, because the turn-over of SOM is con-trolled by this pool of SOC which can provide an effective early warning of the improvement or deterioration of soil quality as a result of different management practices (Powlson and Brooks, 1987). In our study, MBC was highest in the FYM plus inorganic fertil-izer treatment. The increase of MBC under FYM amended soils could be attributed to several factors, such as higher moisture content, greater soil aggregation and higher SOC content. The FYM amended plots provided a steady source of organic C to support the microbial community compared to NPK treated plots. Generally, FYM applied to soil has long been employed to enhance favourable soil condi-tions. Decomposition of manure in soil releases essential nutrients such as N, P and S that are required by microorganisms. Fauci and Dick (1994) suggested that soils with a long-term use of organic amendments, such as animal manure, generally maintain high lev-els of MBC. In long-term field experiments in Denmark, Powlson et al. (1987) showed that straw manure could increase MBC up to 45%. Similar to our study, Kandeler et al. (1999) earlier reported that FYM (30 Mg ha−1, applied every second year) doubled the microbial biomass in a Haplic Phaeocem under spring barley. Manjaiah and Singh (2001) reported an increase of MBC by a factor of three after a combined application of FYM and mineral N-fertilizer in a semi-arid Cambisol. The higher microbial biomass in FYM + NPK might be both due to higher below ground plant residues as well as added FYM (Grego et al., 1998). This observation is consistent with that of Hopkins and Shiel (1996), who reported that the MBC was greater in soils receiving annual additions of FYM for nearly 100 years in addi-tion to inorganic NPK. However, in a different study, a significant increase in MBC was found only in soils fertilized with compost, while treatment with mineral fertilizers was characterized by a small MBC, as small as in the control soil (Grego et al., 1998). Sim-ilarly, Omay (1997) reported a significant decrease in MBC due to fertilizer applications, particularly N. The imbalanced use of fer-tilizers also decreased MBC due to limitation imposed by major nutrients like P and K, which are essential for higher crop produc-tion as well as for microbial cell synthesis. The surface soil exhibited higher MBC compared to lower soil depths primarily because of addition of left-over crop residues and root biomass into the top-soil. This view is consistent with the observation of Hao et al. (2008) who observed that the microbial biomass was considerably greater in soils receiving FYM along with NPK fertilizer than in plots receiv-ing merely NPK fertilizer in three subtropical paddy soils. Mandal et al. (2007) also reported that the microbial biomass was greater in soils due to addition of straw plus inorganic NPK for 34 years than that of inorganic NPK fertilizers. Similarly, Kaur et al. (2005) also observed that in general, MBC tends to be smaller in unfertilized soils or those fertilized with chemical fertilizers compared to soil amended with organic manures. The readily metabolizable carbon and N in FYM in addition to increasing root biomass and root exu-dates due to greater crop growth are the most influential factors contributing to the increase in soil MBC.
  • 8. P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 39 Fig. 3. Effect of FYM and fertilizers on yield of wheat grown in a 6-year-old pearl millet–wheat cropping system. Error bars represent standard deviation of the mean. 3.2.5. Carbon management index The carbon management index (CMI) is derived from the total soil organic C pool and C lability index and is useful to evaluate the capacity of management systems to promote soil quality. This index compares the changes that occur in total and labile carbon as a result of agricultural practices, with an emphasis on the changes in labile carbon, as opposed to non-labile carbon in SOM. Therefore, the integration of both soil organic C pool and C lability into the car-bon management index can provide a useful parameter to assess the capacity of management systems to promote soil quality (Blair et al., 1995). A management system is considered sustainable, if the value of CMI is greater than 100. In the present study, the highest CMI values of 292 at 0–15 cm soil depth and 182 at 15–30 cm soil depth were obtained in treatment receiving integrated use of FYM and NPK fertilizer (Table 5). The addition of FYM alone resulted in CMI values of 267 and 176 at 0–15 and 15–30 cm soil depth, respec-tively; while that of NPK fertilizer resulted in CMI values of 173 and 143 at 0–15 and 15–30 cm soil depth, respectively. Improvement in CMI value under integrated use of organic and inorganic fer-tilizer over their sole application could be attributed to addition of organic carbon and other nutrients through these sources. In general, the CMI values decreased from surface soil to sub-surface soil depth irrespective of nutrient management practices. Similar result in higher CMI under rice–wheat cropping system amended with Lantana spp. was reported earlier by Sharma et al. (2003). Blair et al. (1995) reported that there was no ideal value of CMI. However, this index provides a sensitive measure of the rate of changes in soil carbon dynamics of the system related to the more stable reference soil. The higher values of CMI indicate that the system have greater soil quality than the other management sys-tems. These results indicated that integrated use of FYM and NPK fertilizer in intensive cropping system like pearl millet–wheat sys-tem by using targeted yield equations could be considered as the sustainable management option for crop production. 3.3. Yield of wheat Grain yield of wheat obtained in different nutrient management varied from 1.67 Mg ha−1 in unfertilized control to 5.33 Mg ha−1 in integrated use of FYM and inorganic fertilizers (FYM + NPK) and straw from 2.29 (unfertilized control) to 7.49 Mg ha−1 (FYM + NPK) (Fig. 3). The highest grain and straw yields were obtained in inte-grated treatment (FYM + NPK) and lowest in control. This showed the superiority of integrated nutrient management over either fertilizers or FYM alone. Significantly higher yield was obtained in FYM + NPK as compared to FYM, which revealed that FYM alone cannot be a substitute for fertilizers. The highest grain yield recorded under the application of inorganic sources of nutrient may have been due to the immediate release and availability of nutrients as compared to organic sources of nutrient, which release the nutrient slowly. The yield advantage on application of organic sources of nutrients was due to addition of secondary and micronu-trients (Nambiar, 1997; Nayar and Chhibba, 2000; Manna et al., 2005; Banik et al., 2006) along with the major nutrients, increased nutrient absorption capacity due to the higher root density. It also improved soil physical (Boparai et al., 1992) and biological prop-erties by increasing the soil pore space, water holding capacity (Biswas et al., 1971; Wallace, 1996; Lehmann et al., 1999) and improving the soil structure (Biswas et al., 1971; Prasad and Singh, 1980). Combined use of organic and inorganic sources of nutri-ent could be attributed to better synchrony of nutrient availability to the wheat crop, which was reflected in higher grain yield and biomass production and also the higher nutrient use efficiency. The higher wheat yield obtained on FYM + NPK fertilizer-treated plots was possibly caused by other benefits of organic matter such as improvements in microbial activities, better supply of secondary and micronutrients which are not supplied by inorganic fertilizers, and lower losses of nutrients from the soil besides supply of N, P and K (Abrol et al., 1997; Yadav et al., 2000; Yadvinder-Singh et al., 2004). The improved soil physical properties in the FYM-treated plots as observed in the present study might have also contributed to the improvement in crop yields. The present study corroborates the findings of other workers (Banger et al., 2009), where increased yield of wheat due to integrated use of manures and fertilizers over fertilizers alone were reported. It is also reported that application of FYM along with chemical fertilizer enhances the activities of N fixers (Ladha et al., 1989), improves the availability of the nutrients for a longer period (Rani and Srivastava, 1997), increases nutrients use efficiency of the crops (Narwal and Chaudhary, 2006), and bet-ter availability of native nutrients to the plants resulting in a higher yield (Bhandari et al., 2002). Improvement in the efficiency of fer-tilizers when used in conjunction with manure might be due to the enhanced inherent nutrient supplying capacity of the soil and improved soil physical properties (Hati et al., 2006), which might have promoted better rooting, higher nutrient and water absorp-tion by crops (Reicosky and Deaton, 1979; Zhang et al., 1998). 3.4. Correlation matrix Data on Pearson’s correlation matrix revealed that yield of wheat was significantly (P < 0.01) and positively correlated with KMnO4-N (r = 0.564*), Olsen-P (r = 0.819**) and CaCl2-S (r = 0.734**) in soil (Table 6). Similarly, significant and positive correlation between yield and TOC (r = 0.775**), LBC (r = 0.689**) and MBC (r = 0.682**) were observed. A strong relationship between crop yields with different pools of carbon indicates that there appears to be a significant influence of SOC in enhancing crop yields. Differ-ent pools of SOC showed significant and positive relationship with each other indicating a dynamic relationship of different pools of carbon in soil. The results also revealed that changes in pools of organic carbon namely, WBC, LBC and MBC were affected signifi-cantly by total organic carbon content in soil. The highest value of correlation coefficient between LBC with TOC (r = 0.828**) and MBC with TOC (r = 0.738**) indicates that these pools are most affected by change management practices in soils. The results indicate that it is not only the change in TOC under different treatment is important but also the change in LBC and MBC pools which are more impor-tant form the point of quality of soil organic carbon and availability of nutrients to crops are concerned. Although the quantity of LBC and MBC pools are very low as compared to TOC but these pools are easily accessible thus more important from the point of nutri-ent availability during crop growth period as compared to total soil organic carbon. Therefore, these pools are helpful in understanding the availability of nutrients in soil for uptake by plants.
  • 9. 40 P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 Table 6 Pearson’s correlation matrix between yield, available nutrients and pools of soil organic carbon as affected by FYM and fertilizers in a 6-year-old pearl millet–wheat system. Parameter Yield KMnO4-N Olsen-P NH4OAc-K CaCl2-S TOC WBC LBC KMnO4-N 0.564* Olsen-P 0.819** 0.453* NH4OAc-K 0.368 0.680** 0.271 CaCl2-S 0.734** 0.918** 0.595** 0.750** TOC 0.775** 0.805** 0.530* 0.648** 0.844** WBC 0.398 0.867** 0.247 0.718** 0.785** 0.736** LBC 0.689** 0.841** 0.457* 0.584** 0.789** 0.828** 0.638** MBC 0.682** 0.816** 0.592** 0.708** 0.864** 0.738** 0.648** 0.829** * Correlation is significant at the 0.05 level (1-tailed). ** Correlation is significant at the 0.01 level (1-tailed). 4. Conclusions The present study demonstrated that integrated use of FYM and NPK fertilizer using STCR-based targeted yield approach increased soil fertility and pools of soil organic carbon. Significant and pos-itive correlations of LBC and MBC with yield indicate that these pools are more important for nutrient turn-over and their avail-ability to plants than TOC. Carbon management index revealed that integrated nutrient management could be followed for enhanc-ing crop productivity, nutrient availability and soil carbon pools for long-term. These results conclude that for sustainable crop production and maintaining soil quality, input of organic manure like FYM is of major importance and should be advocated in the nutrient management of intensive cropping system for improving chemical and biological properties of soils. Therefore, the gov-ernment should encourage farmers to manage nutrients and soil fertility following soil test based integrated nutrient management by combining organic with inorganic fertilizer to increase crop pro-ductivity, enhancing nutrient availability and sustaining soil carbon pools for long-term. Acknowledgments The senior author thanks the Indian Council of Agricultural Research, New Delhi, India, for providing financial support as Junior Research Fellowship during his research work and the Head, Divi-sion of Soil Science and Agricultural Chemistry, Indian Agricultural Research Institute, New Delhi, India, for providing facilities for suc-cessful completion of the research work. References Abrol, I.P., Bronson, K.F., Duxbury, J.M., Gupta, R.K., 1997. Long-term soil fertility experiments in rice–wheat cropping systems. In: Rice–Wheat Consortium Paper Series No. 1. Rice–Wheat Consortium for the Indo-Gangetic Plains, New Delhi, India, pp. 14–15. Banger, K., Kukal, S.S., Toor, G., Sudhir, K., Hanumanthraju, T.H., 2009. Impact of long-term additions of chemical fertilizers and farmyard manure on carbon and nitrogen sequestration under rice–cowpea cropping system in semi-arid tropics. Plant Soil 318, 27–35. Banik, P., Ghosal, P.K., Sasmal, T.K., Bhattacharya, S., Sarkar, B.K., Bagchi, D.K., 2006. Effect of organic and inorganic nutrients for soil quality conservation and yield of rainfed low land rice in subtropical plateau region. J. Agron. Crop Sci. 192, 331–343. Bhandari, A.L., Ladha, J.K., Pathak, H., Padre, A.T., Dawe, D., Gupta, R.K., 2002. Yield and soil nutrient changes in a long-term rice–wheat rotation in India. Soil Sci. Soc. Am. J. 66, 162–170. Biswas, C.R., Benbi, D.K., 1997. Sustainable yield trends of irrigated maize and wheat in LTFE on loamy sand in semi arid India. Nutr. Cycl. Agroecosyst. 46, 225–234. Biswas, T.D., Jain, B.L., Mandal, S.C., 1971. Cumulative effect of different levels of manures on the physical properties of soil. J. Indian Soc. Soil Sci. 19, 31–37. Blair, G.J., Lefroy, R.D.B., Lisle, L., 1995. Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural systems. Aust. J. Agric. Res. 46, 1459–1466. Blair, N., 2000. Impact of cultivation and sugar-cane green trash management on carbon fractions and aggregate stability for a chromic luvisol in Queensland, Australia. Soil Till. Res. 55, 183–191. Blake, L., Mercik, S., Koerschens, M., Goulding, K.W.T., Stempen, S., Weigel, A., Poul-ton, P.R., Powlson, D.S., 1999. Potassium content in soil, uptake in plants and the potassium balance in three European long-term field experiments. Plant Soil 216, 1–14. Boparai, B.S., Singh, Y., Sharma, B.D., 1992. Effect of green manuring with Sesba-nia aculeata on physical properties of soil and growth of wheat in rice–wheat and maize–wheat cropping sequence in semiarid regions of India. Arid Soil Res. Rehabil. 6, 135–143. Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size anal-ysis of soils. Agron. J. 54, 464. Campbell, C.A., McConkey, B.G., Zentner, R.P., Selles, F., Curtin, D., 1996. Tillage and crop rotation effects on soil organic C and N in a coarse-textured Typic Hap-loboroll in South western Saskatchewan. Soil Till. Res. 37, 3–14. Carter, M.R., 2002. Soil quality for sustainable land management: organic matter and aggregation interactions that maintain soil functions. Agron. J. 94, 38–47. Chesnin, L., Yien, C.H., 1950. Turbidimetric determination of available sulphates. Soil Sci. Soc. Am. Proc. 15, 149–151. Conteh, A., Lefroy, R.D.B., Blair, G.J., 1997. Dynamics of organic matter in soil as determined by variations in 13C/12C isotopic ratios and fractionation by ease of oxidation. Aust. J. Soil Res. 35, 881–890. Dalal, R.C., Mayer, R.J., 1986. Long-term trends in fertility of soils under continuous cultivation and cereal cropping in Southern Queensland: III. Distribution and kinetics of soil organic carbon in particle size fractions. Aust. J. Soil Res. 24, 293–300. Dawe, D., Dobermann, A., Ladha, J.K., Yadav, R.L., Bao Lin Gupta, R.K., Lal, P., Panaullah, G., Sariam, O., Singh, Y., Swarup, A., Zhen, Q.-X., 2003. Do organic amendments improve yield trends and profitability in intensive rice systems? Field Crops Res. 83, 191–213. Dezhi, Y., Dejian, W., Linzhang, Y., 2007. Long-term effect of chemical fertilizer, straw, and manure on labile organic matter fractions in a paddy soil. Biol. Fertil. Soils 44, 93–101. Ding, G.W., Liu, X.B., Herbert, S., Novak, J., Amarasiriwardena, D., Xing, B.H., 2006. Effect of cover crop management on soil organic matter. Geoderma 130, 229–239. Fauci, M.F., Dick, R.P., 1994. Soil microbial dynamics: short and long term effects of inorganic and organic nitrogen. Soil Sci. Soc. Am. J. 58, 801–806. Gami, S.K., Ladha, J.K., Pathak, H., Shah, M.P., Pasuquin, E., Pandey, S.P., Hobbs, P.R., Joshy, D., Mishra, R., 2001. Long-term changes in yield and soil fertility in a 20-year rice–wheat experiment in Nepal. Biol. Fertil. Soils 34, 73–78. Ghosh, P.K., Dayal, D., Mandal, K.G., Wanjari, R.H., Hati, K.M., 2003. Optimization of fertilizer schedules in fallow and groundnut-based cropping systems and an assessment of system sustainability. Field Crops Res. 80, 83–98. Gomez, K.A., Gomez, A.A., 1984. Statistical Procedures for Agricultural Research. Wiley Interscience, New York. Grego, S., Marinari, S., Moscatelli, M.C., Badalucco, L., 1998. Effect of ammonium nitrate and stabilized farmyard manure on microbial biomass and metabolic quotient of soil under Zea mays. Agric. Meditern. 128, 132–137. Gupta, A.P., Antil, R.S., Narwal, R.P., 1988. Effect of farmyard manure on organic car-bon, available N, and P content of soil during different periods of wheat growth. J. Indian Soc. Soil Sci. 262, 269–273. Hanway, J.J., Heidel, H., 1952. Soil analysis methods as used in Iowa State College Soil Testing Laboratory. Iowa Agric. 57, 1–31. Hao, X.H., Liu, S.L., Wu, J.S., Hu, R.G., Tong, C.L., Su, Y.Y., 2008. Effect of long-term appli-cation of inorganic fertilizer and organic amendments on soil organic matter and microbial biomass in three subtropical paddy soils. Nutr. Cycl. Agroecosyst. 81, 17–24. Hati, K.M., Swarup, A., Singh, D., Mishra, A.K., Ghosh, P.K., 2006. Long-term con-tinuous cropping, fertilization and manuring effects on physical properties and organic carbon content of a sandy loam soil. Aust. J. Soil Res. 44, 487–495. Hopkins, D.W., Shiel, R.S., 1996. Size and activity of soil microbial communities in long term experimental grassland plots treated with manure and inorganic fertilizers. Biol. Fertil. Soils 22, 66–70. Jackson, M.L., 1973. Soil Chemical Analysis. Prentice Hall of India Pvt. Ltd., New Delhi. Jenkinson, D.S., 1991. The Rothamsted long-term experiments: are they still in use? Agron. J. 83, 2–10. Jenkinson, D.S., Powlson, D.S., 1976. The effects of biocidal treatment on metabolism in soil. I. Fumigation with chloroform. Soil Biol. Biochem. 8, 167–177. Kandeler, E., Stemmer, M., Klimanek, E.M., 1999. Response of soil microbial biomass, urease and xylanase within particle size fractions to long-term soil management. Soil Biol. Biochem. 31, 261–273.
  • 10. P.C. Moharana et al. / Field Crops Research 136 (2012) 32–41 41 Kaur, K., Kapoor, K.K., Gupta, A.P., 2005. Impact of organic manures with and with-out mineral fertilizers on soil chemical and biological properties under tropical conditions. J. Plant Nutr. Soil Sci. 168, 117–122. Kukreja, K., Mishra, M.M., Dhankar, S.S., Kapoor, K.K., Gupta, A.P., 1991. Effect of long term manurial application on microbial biomass. J. Indian Soc. Soil Sci. 39, 685–688. Kumar, P., Nanwal, R.K., Yadav, S.K., 2005. Integrated nutrient management in pearl millet (Pennisetum glaucum)–wheat (Triticum aestivum) cropping system. Indian J. Agric. Sci. 75, 640–643. Kundu, S., Prakash, V., Ghosh, B.N., Singh, R.D., Srivastva, A.K., 2002. Quantitative relationship between annual carbon inputs and soil organic carbon build-up in soybean (Glycine max)–wheat (Triticum aestivum) cropping sequence. In: 2nd Int. Agron. Congress, New Delhi, India, November 26–30, 2002, pp. 108–110. Ladha, J.K., Padre, A.T., Punzalan, G.C., Garcia, M., Watanabe, I., 1989. Effect of inor-ganic N and organic fertilizers on nitrogen-fixing (acetylene-reducing) activity associated with wetland rice plants. In: Skinner, F.A. (Ed.), N2 Fixation with Non-legumes. Kluwer Academic Publishers, Dordrecht, pp. 263–272. Ladha, J.K., Pathak, H., Padre, A.T., Dawe, D., Gupta, R.K., 2003. Productivity trends in intensive rice–wheat cropping systems in Asia. In: Ladha, J.K., Hill, J.E., Duxbury, J.M., Gupta, R.K., Buresh, R.J. (Eds.), Improving the Productivity and Sustain-ability of Rice–Wheat Systems: Issues and Impacts, ASA Special Publication 65. ASA–CSSA–SSSA, Madison, USA, pp. 45–76. Lal, R., 1994. Methods and guidelines for assessing sustainable use of soil and water resources in the tropics. In: SMSS Tech. Monograph No. 21. USDA, Washington, DC, p. 78. Lehmann, J., Feilner, T., Gebauer, G., Zech, W., 1999. Nitrogen uptake of sorghum (Sorghum bicolor L.) from tree mulch and mineral fertilizer under high leaching conditions estimated by nitrogen-15 enrichment. Biol. Fertil. Soils 30, 90–95. Majumder, B., Mandal, B., Bandyopadhyay, P.K., 2008. Soil organic carbon pools and productivity in relation to nutrient management in a 20-year-old rice-berseem agro-ecosystem. Biol. Fertil. Soils 44, 451–561. Majumder, B., Mandal, B., Bandyopadhyay, P.K., Chaudhury, J., 2007. Soil organic carbon pools and productivity relationships for a 34 year old rice–wheat–jute agro-ecosystem under different fertilizer treatments. Plant Soil 297, 53–67. Mandal, A., Patra, A.K., Singh, D., Swarup, A., Masto, R.E., 2007. Effect of long-term application of manure and fertilizer on biological and biochemical activities in soil during crop development stages. Bioresour. Technol. 98, 3585–3592. Manjaiah, K., Singh, D., 2001. Soil organic matter and biological properties after 26 years of maize–wheat–cowpea cropping as affected by manure and fertilization in Cambisol in semiarid region of India. Agric. Ecosyst. Environ. 86, 155–162. Manna, M.C., Swarup, A., Wanjari, R.H., Ravankar, H.N., Mishra, B., Saha, M.N., Singh, Y.V., Shahi, D.K., Sarap, P.A., 2005. Long-term effect of fertilizer and manure application on soil organic carbon storage, soil quality and yield sustainability under sub-humid and semi-arid tropical India. Field Crops Res. 93, 264–280. Marinari, S., Masciandaro, G., Ceccanti, B., Grego, S., 2000. Influence of organic and mineral fertilisers on soil biological and physical properties. Bioresour. Technol. 72, 9–17. Masto, R.E., Chhonkar, P.K., Singh, D., Patra, A.K., 2006. Changes in soil biological and biochemical characteristics in a long-term field trial on a sub-tropical Inceptisol. Soil Biol. Biochem. 38, 1577–1582. Mehta, S.C., Sharma, D.R., Mittal, S.B., 1988. Influence of long-term application of farmyard manure on K–Ca and K–Na exchange equilibrium in a tropical soil. J. Potassium Res. 4, 168–173. Nambiar, K.K.M., 1997. Soil health and organic matter – changing scenario. Proc. Natl. Acad. Sci. India 67B, 141–160. Nambiar, K.K.M., Abrol, I.P., 1989. Long term fertilizer experiments in India – an overview. Fertil. News 34, 11–26. Nand, R., 1998. Effects of continuous fertilizer use on soil fertility and productivity of a mollisol. In: Swarup, A., Reddy, D., Prasad, R.N. (Eds.), Long-term Soil Fertility Management Through Integrated Plant Nutrient Supply. Indian Institute of Soil Science, Bhopal, India, pp. 229–237. Narwal, R.P., Chaudhary, M., 2006. Effect of long-term application of FYM and fer-tilizer N on available P, K and S content of soil. In: 18th World Congress of Soil Science in Philadelphia, Pennsylvania, USA, July 9–15, 2006. Nayar, V.K., Chhibba, I.M., 2000. Effect of green manuring on micronutrient availability in rice–wheat cropping system of northwest India. In: Abrol, I.P., Bronson, K.F., Duxbury, J.M., Gupta, R.M. (Eds.), Long-term Soil Fertility Experiments in Rice–Wheat Cropping Systems. Rice–Wheat Consortium Paper Series 6, Rice–Wheat Consortium for the Indo-Gangetic Plains, New Delhi, pp. 68–72. Olsen, S.R., Cole, C.V., Watanabe, F.S., Dean, L.A., 1954. Estimation of Available Phos-phorus in Soils by Extraction with Sodium Bicarbonate. US Dept. Agric. Circular, p. 939. Omay, A.B., 1997. Soil microbial and chemical property under long crop rotation and fertilization. Soil Sci. Soc. Am. J. 61, 1672–1678. Poonia, S.R., Mehta, S.C., Pal, R., 1986. Exchange equilibrium of potassium in soils. 1. Effect of farmyard manure on K and Ca exchange. Soil Sci. 141, 77–83. Potter, K.N., Tolbert, H.A., Jones, O.R., Matocha, J.E., Morrison, J.E., Unger, P.W., 1998. Distribution and amount of soil organic C in the long-term management systems in Texas. Soil Till. Res. 47, 309–321. Powlson, D.S., Brookes, P.C., Christensen, B.T., 1987. Measurement of soil microbial biomass provides an early indication of changes in total soil organic matter due to straw incorporation. Soil Biol. Biochem. 19, 159–164. Powlson, D.S., Brooks, P.C., 1987. Measurement of soil microbial biomass provides an early indication of changes in total soil organic matter due to straw incorpo-ration. Soil Biol. Biochem. 19, 159–164. Prasad, B., Singh, A.P., 1980. Changes in soil properties with long-term use of fertil-izer, lime and farmyard manure. J. Indian Soc. Soil Sci. 28, 465–468. Ramamoorthy, B., Narasimham, R.L., Dinesh, R.S., 1967. Fertilizer application for specific yield targets of Sonara 64. Indian Farming 17, 43–45. Rani, R., Srivastava, O.P., 1997. Vermicompost: a potential supplement to nitroge-nous fertilizer in rice nutrition. Int. Rice Res. Notes 22, 30–31. Reicosky, D.C., Deaton, D.E., 1979. Soybean water extraction, leaf water potential and evapo-transpiration during drought. Agron. J. 7, 45–50. Roy, S.K., Sharma, R.C., Trehan, S.P., 2001. Integrated nutrient management by using farmyard manure and fertilizers in potato–sunflower–paddy rice rotation in the Punjab. J. Agric. Sci. 137, 271–278. Rudrappa, L., Purakayestha, T.J., Singh, D., Bhadraray, S., 2006. Long-term manuring and fertilization effects on soil organic carbon pools in a Typic Haplustept of semi-arid sub-tropical India. Soil Till. Res. 88, 180–192. Sarkar, M.C., Sachdev, M.S., Datta, S.P., 1998. Interaction of soil organic matter with nutrients. Bull. Indian Soc. Soil Sci. 19, 90–102. Sharma, B.M., Singh, R.V., 2003. Soil test and crop need based fertilizer recommen-dations for field crops. In: Proceedings of Training Workshop on Soil Testing for Balanced and Integrated Use of Fertilizers and Manures, PAU, Ludhiana, pp. 106–121. Sharma, P.K., Ladha, J.K., Verma, T.S., Bhagat, R.M., Padre, A.T., 2003. Rice–wheat productivity and nutrient status in a lantana – (Lantana spp.) amended soil. Biol. Fertil. Soils 37, 108–114. Singh, M., Reddy, D., Tripathi, A.K., 2000. Potassium status of soil and uptake as influenced by integrated use of FYM and fertilizer N in soybean–wheat for seven years in Vertisols. J. Potassium Res. 16, 48–51. Singh, M., Reddy, S.R., Singh, V.P., Rupa, T.R., 2007. Phosphorus availability to rice (Oriza sativa L.)–wheat (Triticum estivum L.) in a Vertisol after eight years of inorganic and organic fertilizer additions. Bioresour. Technol. 98, 1474–1481. Snyder, J.D., Trofymow, J.A., 1984. A rapid accurate wet oxidation diffusion procedure for determining organic and inorganic carbon in pot and soil samples. Commun. Soil Sci. Plant Anal. 15, 587–597. Subba Rao, A., Srivastava, S., 2001. Soil Test Based Fertilizer Recommendations for Targeted Yields of Crops. Indian Institute of Soil Science, Bhopal, India, pp. 1–326. Subbiah, B.V., Asija, G.L., 1956. A rapid method for the estimation of available nitro-gen in soils. Curr. Sci. 25, 259–260. Swarup, A., Wanjari, R.H., 2000. Three Decades of All India Coordinated Research Long Term Fertilizer Experiments for Studying Changes in Fertility Crop Pro-ductivity and Sustainability. Indian Institute of Soil Science, Bhopal, India. Veihmeyer, F.Y., Hendrickson, A.H., 1948. Soil density and root penetration. Soil Sci. 65, 487–493. Walkley, A., Black, I.A., 1934. An examination of the Degtjareff method for determin-ing soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci. 37, 29–38. Wallace, J.S., 1996. The water balance of mixed tree-crop systems. In: Ong, C.K., Huxley, P. (Eds.), Tree–crop Interactions, A Physiological Approach. CAB Inter-national, Wallingford, UK, pp. 73–158. Wander, M., 2004. Soil organic matter fractions and their relevance to soil function. In: Magdoff, F.R., Weil, R.R. (Eds.), Soil Organic Matter in Sustainable Agriculture. CRC, Boca Raton, pp. 67–102. Watanabe, F.S., Olsen, S.R., 1965. Test of an ascorbic acid method for determining phosphorus in water and NaHCO3 extracts from soils. Soil Sci. Soc. Am. Proc. 29, 677–678. Williams, C.H., Steinbergs, A., 1959. Soil sulphur fraction as chemical indices of available sulphur in soils. Aust. J. Soil Res. 10, 340–352. Yadav, R.L., Subba Rao, A.V.M., 2002. Atlas of cropping systems in India. PDCSR Bulletin No. 2001-2, Project Directorate for Cropping Systems Research. Modipu-ram, Meerut, Uttar Pradesh. Yadav, R.L., Dwivedi, B.S., Prasad, K., Tomar, O.K., Shurpali, N.J., Pandey, P.S., 2000. Yield trends and changes in soil organic-C and available NPK in a long-term rice–wheat system under integrated use of manures and fertilizers. Field Crops Res. 68, 219–246. Yadvinder-Singh, Bijay-Singh, Ladha, J.K., Khind, C.S., Khera, T.S., Bueno, C.S., 2004. Effects of residue decomposition on productivity and soil fertility in rice–wheat rotation. Soil Sci. Soc. Am. J. 68, 854–864. Zhang, H., Oweis, T.Y., Garabet, Y., Pala, M., 1998. Water use efficiency and transpi-ration efficiency of wheat under rainfed condition and supplementing irrigation in a Mediterranean type environment. Plant Soil 201, 295–305.