SlideShare une entreprise Scribd logo
1  sur  7
Télécharger pour lire hors ligne
IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS)
e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 5, Issue 1 (Sep.- Oct. 2013), PP 23-29
www.iosrjournals.org

Effects of Chemical Constituents on Insect Pest Population in
West African Okra, Abelmoschus
1

Adewusi, O.F1 And Oshipitan A.A2.
Department of Crop, Soil and Pest Management, Federal University of Technology Akure, Ondo State, Nigeria.
2
Department of Crop Protection, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.

Abstract: A study was carried out on the effects of chemical constituents on insect pest attack on genotypes in
West African Okra, Abelmoschus caillei. The growth and yield response of the genotypes to pest infestation was
determined. The biochemical analysis was carried out using the seeds of the genotypes to determine the
bioactive ingredients content. Field experiment was laid out in Randomized Complete Block Design (RCBD)
with four replications. The result indicated that three of the genotypes, (CEN 010, , NGAE-96-0123 and NGAE
-96- 0067) attracted less number of insects, recorded lower percentage of leaf damage (27.19%, 27.41% and
31.73%) and percentage pod damage ( 22.06%, 35.68% and 40.46%) and recorded higher level of harmful
bioactive ingredients which conferred resistance to insect attack compared to the susceptible ones. The result of
correlation analysis carried out between seed yield and the other traits show that a significant and positive
exists between number of fruits per plant and number of damaged pods; number of insect feeding holes and
number of Podagrica spp.; number of damaged pods and number of Dysdercus superstitiosus. A negative
correlation also exists between number of damaged leaves, number of Dysdercus superstitiosus, number of
insect feeding holes,number of Podagrica spp. and seed yield. From the study, it can be concluded that
antixenosis was the basis of resistance to insect attack. Three of the genotypes (NGAE- 96-0067, NGAE-96-123
and CEN 010) used in this study are therefore recommended to farmers because of their economic value inspite
of insect attack.
Key word: Abelmoschus caillei, chemical constituents, insect population, Dysdercus superstitiosus, Podagrica
spp., Genotypes.

I.

Introduction

West African okra, Abelmoschus caillei [A.chev] Stevels belongs to the family malvaceae. It is found
throughout the high rainfall zones and is mainly grown for subsistence. Stevels (1988) described West African
okra as a separate specie based on observation in Cameroon and on work carried out by Siemonsma in Cote
d’Ivore between 1977 and 1980. A. caillei is mainly found in the humid coastal zones of west and central
African and more sparingly in its savannah belt. It is much more abundant in the North of the Equator than the
South of it. It is commonly found around homes and along roads (Ariyo, 1993) but rarely in undisturbed forests.
It is much appreciated because it continues fruiting during dry season when few other vegetables can
be found thus providing the farmers with addition income. In contrast, the common okra, Abelmoschus
esculentus [L] Moench fruits only during the rainy season or under irrigation. West African okra remains green
during the period of drought, thus allowing people to eat its young leaves when needed. Since the identification
of A. caillei as a second cultivated okra crop in Africa, there had been several germplasm collecting missions
and the characteristic of the new specie is still being studied in detail. A. caillei is a multipurpose crop valued for
its tender and delicious pods which are bigger than the pods of A. esculentus (L) Moench.
Furthermore, the tender pods of okra at edible stage contains 88ml H2O, 2.1g protein, 0.2g fat, 175.2mg
minerals and 232.72mg vitamin in 100g of edible portion; the edible leaves contain about 81ml H20, 56 calories
of energy, 11g carbohydrate, 4.4 protein, 0.6 fat, 2.1 fibre, 602.7mg mineral and 44.72mg vitamin per 100g
(FAO, 1972).As common to other crops, pest infestation on vegetables has negative effect on their yields. Over
the year, pesticides have been used to control insect attack but this has always resulted in increased cost of
production and sometimes having residual effect on the environments. Breeding programs that confer resistance
to pest attack is needful in order to ensure food security. Plants show the resistance mechanism that deter the
prevalent insects pests from inflicting on them any form of injury. Such resistance includes: Non-Preference
(antixenosis) in which normal behavior is impaired to reduce chances of injury by pest specie. There is also the
presence of morphological factors which affects the insects’ penetration and such structure include: trichomes,
glandular hair, gummy exudates, pubescence, tissue toughness or hardness.

II.

Insects Pest Of Okra And Their Economic Importance

Yield of agricultural crops is often reduced below its potential because of pests and diseases. The
control of these pests invariably results in increase yield but also increase in cost of production. It is often
www.iosrjournals.org

23 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
observed that most insecticides used in controlling pest population are not effective in totally eliminating the
pest because additional pest may immigrate after application and some of the pest may even survive pesticide
application. Thus, one practical means of achieving greater yields is to minimize the pest associated losses
which are estimated at 14% of the total agricultural production. (Oerke et al, 1994).
Each crop has its own peculiar pest limiting its productivity. Insect pests not only cause direct loss to
the agriculture products but also indirectly as vectors of various plant pathogens. Pests associated losses have
been reported to be 52% in wheat, 83% in rice, 59% in maize, 74% in potato, 58% in soybean and 84% in cotton
(Oerke et al, 1994).
Vegetable production which is an important source of income for many small scale farmers in African
is also subjected to economic loss by insects pests. One major constraint in vegetable production is the effective
prevention and control of pests and disease which causes high yield losses (Tindall, 1983). Vegetable losses due
to pests can be as high as 25% which can result in severe income loss to small scale farmers. Avoidable losses in
okra particularly due to pest have been placed at about 54% (Chaudhary and Deedhack, 1989). Vegetable are
attacked by large number of insect pest which ultimately lead to reduction in both quality and yield.
The pests limiting vegetables production are classified into the following broad categories: sapsucker, leaf
eaters, leaf and fruit borers, leaf rollers, flower feeders and leaf miners.
Among the sapsuckers are the nymphs and adults of cotton aphid, Aphis gossypii which infest the plant
by killing developing plant cells. Severally infested plant results in leaf distortion, curling and yellowing of
leaves, stunted and retarted growth and failure to set bloom. It also acts as vector of viral disease (Tindall,
1983). Whiteflies, Bemisia tabaci (the adult lays eggs on the underside of the leaves and infested leaves become
discolored and fall off from the plant). It also secret honeydew on plants which allow unsightly black sooty
mould to grow resulting in reduced leaf area for photosynthesis. Severally infested plants have stunted and
retarded growth and development. Green leaf hoppers, Empoasca spp. (feed on apices of young plant resulting
in stunted and retarded growth, they also inhibit food translocation by destroying the tissues responsible for
translocation (Hill, 1983); other include cotton stainers, Dysdercus superstitiosus and the cotton seed bug,
Oxycarenus hyalinipennis.
The leaf eaters include beetles such as: Fleabeetles, Podagrica spp. (they make round holes in leaves
resulting in death of young plants. In severe infestation the infested plants have retarded and stunted
development which result in reduced plant vigor and an ultimate reduction in yield); Nisotra spp. (feed on the
outer layer of leaves resulting in damage of the cotyledons. Severe infestation results in plant death); spiny boll
worms, Earias spp. (They damage the young growing plants by boring through the terminal shoots resulting in
death of the apical growth and the infested plants have stunted and retarded growth, (Tindall, 1983). Heliothis,
Helicoverpa armigera (the pest) infest the growing plant by boring circular holes in the developing fruits and
flower buds and the buds wither and fall off after being bored into (Hill and waller, 1994)).
The most devastating period of all insects pest is the larvae stage of the pest because the insects is at
the growth stage and being highly active and effective, it is at this stage, their level of attack on growing plant
has a detrimental effects on the growing plants and thus resulting in low yield. Based on this fact, it is expected
that farmers should be able to recognize the insects found on their crops especially the commercial vegetable
growers in order to put in place an adequate and effective pest control thus minimizing economic loss arising
from reduction in yield.
2.1

Breeding For Insect Resistance
In the past, insecticides were used to combat the problem of pests. Nowadays, quite a number of
farmers are still using insecticides but the fact remains that the consequential effects on the total income and
returns is great because of the increase in cost of production. Not only this, continuous use of the insecticide has
effects on the other beneficial insects and also contamination of the environment (Sun et al, 2000). The
indiscriminate use of pesticides has been reported to have led to the destruction of beneficial insects and nontarget organisms, accumulation of toxic residues on produce and human poisoning (Kumar and Moorthy, 2001;
Harris and Dent, 1999). Similarly, Awasthi (2001) reported that pesticides residues especially in vegetables may
create health hazards to the consumers which in turn restrict export market of vegetables.
In recent years entomologists in several countries have stressed the need for developing integrated
management strategies for insects control to optimize agricultural production without upsetting the balance of
nature since massive application of pesticide result in adverse effects on the beneficial organisms, residual effect
on crops and also environmental pollution. This has necessitated the use of target specific compound with low
persistence and more emphasis should be based on integrated pest management which is based on host plant
resistance to insect pests.
Plant breeders and entomologists should therefore, include insects’ resistance as a component of their
crop improvement program. With greater collaboration and commitment from plant breeders, biotechnologist
and entomologists, crop resistance could play a major role in Integrated Pests’ Management (IPM) of insect pest
www.iosrjournals.org

24 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
of crops. In many cases multiple genes are required for sustained resistance to counter pest adaptation, thus
maintaining agricultural productivity to enhance world food security.
A thorough knowledge of insects, plants and their interrelationship is required to evaluate cultivar for
insects’ resistance. Successful breeding for insect and disease resistance has occurred in much type of crops
including vegetables, fruits, field crops and ornamentals. Hence, selecting plants variety that has resistance or
tolerance to insects or disease makes it possible to avoid or lessen the use of pesticides. When plants are
attacked by insects, they defend themselves through a continuum of defensive strategies including direct
resistance (chemical or mechanical traits that reduce the impact of the pests); indirect resistance (traits
enhancing the action of enemies of the pests) or tolerance (regrowth). The site of production of defensive
metabolites is variable in plants, depending on the nature of the compound and the plant species.
Several chemical constituents of plant serve as olfactory and gustatory stimuli for insects. These
chemicals may be nutrients in form of sugar, amino-acid, phospholipids etc. or non-nutritive constituents that is,
glycosides, alkaloids, terpenoids, etc. The insect may be repelled by plants volatile compounds without coming
in contact with plant or having made contact, feeding may be suppressed or having bitten the leaf, the insects
may be deterred from further feeding. A number of insects have been reported to be affected by the plant
volatile compounds that are specific to their host plant (Visser, 1986). Zehnder (2004) reported that some plants
contain organic compounds that act as pest repellents which protect the crops by keeping pests away from them
and thus avoiding potential pest damages.

III.

Materials And Methods

This research was carried out at the farm centre Federal Polytechnic Ilaro, Ogun State in February
2009. Six genotypes of West African Okra were utilized in this study. They were obtained from the germplasm
collection of the National Centre for Genetic Resources and Biotechnology (NACGRAB), Moor Plantation,
Ibadan.
Table 1: The Names and Sources of Okra Genotypes
Parent No

Genotype name

Source

P1
P5
P6
P8
P11
P12

NGAE-96-0060
NGAE-96-0066
NGAE-96-0067
NGAE-96-0123
CEN 10
OWOSDE

National Centre for
Genetic Resources
and Biotechnology (NACGRAB)

The seed were sown in Feb. 2009 in a randomized completes block design using four replications each
replicate measures 10m by 7m. A single row plot with an inter row spacing of 1 metre was adopted. The spacing
used was 1 meter between rows and 0.6 meter within rows. Two seeds were planted per hole and later thinned to
one plant per stand. A maximum of 11 plants were maintained per row. A compound fertilizer of NPK 15:15:15
was applied at the rate of 50kg/ha in two doses, first at 3 weeks after planting and secondly at flowering. Data
were recorded on six mid plants of each of the accessions. Weeding of the plot was done on a regular basis from
planting to harvesting.
Data were collected on the following :- Number of leaves per plant, Number of damaged leaves per
plant, Number of damaged pods per plant, Number of insects per plant, Number of pods per plant, Number of
insects feeding holes per plant, ,Seed yield per plant and biochemical analysis of pods per plant.

IV.

Results And Discussion

Figure 1: Population of Dysdercus spp. and Percentage of Pod Damaged Among The Genotypes Of West
African Okra
www.iosrjournals.org

25 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
Figure 1 shows the population of Dysdercus superstitiosus and percentage of pod damaged among the
genotypes of West African Okra. The result shows that genotype 5 was more susceptible to pod suckers
recording the highest population of Dysdercus superstitiosus of mean 2.75 and highest percentage of pod
damage of mean 65.67% while genotype 11 recorded the lowest population of mean 2.46 and lowest percentage
of pod damage of mean 22.59% indicating that genotype 11 was more resistant to the attack of pod suckers.

Figure 2: Population of Podagrica spp. And Percentage of Leaf Damaged Among The Genotypes Of
West African Okra
Figure 2 shows the population of Podagrica spp. and percentage leaf damage among the genotypes of
West African Okra. Genotype 5 recorded the highest population of Podagrica spp. of mean 1.57 while genotype
11 recorded the lowest population of Podagrica spp. of mean 1.00. The result shows that genotype 5 was more
susceptible to Podagrica attack. Genotype 5 recorded the highest percentage of leaf damage of mean 35.92%
indicating that genotype 5 is more susceptible to Podagrica spp. while genotype 11 recorded the lowest
percentage of mean 27.27% indicating that genotype 11 is more resistant to Podagrica spp. attack.

Figure 3: Number of Insect Feeding Holes per Plant Among The Genotypes Of West African Okra.
Figure 3 shows the number of insect feeding holes among the genotypes of West African Okra.
Genotype 5 recorded the highest percentage of insect feeding holes per plant of mean 96.50% indicating that
genotype 5 is more susceptible to Podagrica spp. While genotype 11 recorded the lowest percentage of mean
85.00% indicating that genotype 11 is more resistant to Podagrica spp. attack.
Table 2:- Seed Yield Per Plant Among the Genotypes of West African Okra.
Genotype

Seed yield per plant

P1
P5
P6
P8
P11
P12

16.69
12.90
22.78
21.26
24.17
18.20

Table 2 shows the seed yield per plant among the genotypes West African Okra. Genotype 5 recorded
the lowest seed yield of mean 12.90g while genotype 11 recorded the highest seed yield of mean 24.17g. The
result indicated that genotype 11 was more resistant to insect pests attack than the other genotypes and other
Traits among the Genotypes of West Africa Okra.
www.iosrjournals.org

26 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
Table3: Correlation between Seed Yield
NFP

P1

P5

NDP
NLP
NDLP
NDS
NIFH
NPS
SW
NFP
NDP
NLP
NDLP
NDS
NIFH
NPS
SW
NFP

NFP
1

NDS
0.018

NIFH
-0.004

NPS
0.319

SW
0.263

0.033
1

-0.084
-0.162
1

-0.200
0.267
-0.038
1

0.218
0.133
-0.301
-.017
1

0.378
0.043
0.525**
-0.159
0.509*
1

0.429*
1

0.226
0.020
1

0.104
0.410
0.171
1

0.258
0.356
0.230
-0.097
1

0.127
0.023
0.294
0.064
-0.129

0.481*
0.449*
0.297
0.442*
0.266

1

0.163
1

*

0.392

0.483*

-0.198

-0.037

0.577*

0.434*

0.114

-0.110

-0.157

0.373

-0.003

0.065

-0.215

-0.338

0.408

*

0.340

0.563*

1

1

-0.128
-0.030
-0.050
-.0570
0.168
-0.035
1
0.308
-0.215
0.272
0.121
0.427*
0.120
0.152
1
0.455*

1

1

0.261
1

-0.151
-0.136
1

-0.034
0.003
0.396
1

1

0.720*

-0.172

0.339

-0.031

-0.018

0.702*

-0.181

0.200

-0.052

-0.013

0.288

-0.185
1

0.417
0.030
1

-0.244
-0.127
0.495
1

-0.095
0.083
0.063
0.421
1

0.592*

0.633*

-0.200

0.045

0.441*

0.136

0.044
-0.371
-0.139
-0.228
-0.185
1
0.029

1

0.087

0.070

0.088

0.279

0.156

-0.241

1

-0.137
1

0.013
-0.306

0.327
0.360

0.289
0.221

0.094
-0.244

1

0.111
1

-0.278
0.424*

0.056
-0.321

1

1

0.908*
*

*

NLP
NDLP

*

*

*

NDS
NIFH

P12

NDP
NLP
NDLP
NDS
NIFH

*

0.027
-0.010
0.317
0.032
1
0.303

1

NDP

NPS
SW
NFP

*

1

1

NDP
NLP
NDLP
NDS
NIFH
NPS
SW
NFP

P11

NDLP
-0.267

NLP
NDLP
NDS
NIFH
NPS
SW
NFP

P8

NLP
0.341

1

NDP
P6

NDP
0.555*

1

0.774*

0.625*

-0.370

0.336

0.032

0.067

-0.044
1
-0.217

1

0.502*
1

-0.053
-0.163
1

0.290
0.196
-0.027
1

0.000
0.376
0.042
-0.380
1

0.165
0.277
0.133
0.173
0.117

-0.211
0.164
-0.097
0.177
0.030

1

0.412

*

*

NPS
SW

1

www.iosrjournals.org

27 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
.*. Correlation is significant at the 0.05 level (1-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
NFP =Number of fruits per plant, NDP = Number of damaged pods per plant, NLP = Number of leaves per
plant, NDLP = Number of damaged leaves per plant, NDS = Number of Dysdercus superstitiosus per plant,
NIFH = Number of insect feeding holes per plant, NPS = Number of Podagrica spp. per plant and SW =Seed
yield per plant
Table 3 shows the correlation between seed yield and the other traits among the West African okra
genotypes. In genotype 6, a significant and positive correlation exists between number of fruits per plant,
number of leaves per plant and seed yield. This implies that more leaves production will result in increased
photosynthetic capacity of the plant which will invariably lead to more fruit production which will result in
increased seed yield since more fruits will contain more seeds. A significant and positive correlation exists
between number of fruits per plant and number of damaged pods in genotype 1. This implies that higher number
of fruits will result in increased number of damaged pods. A positive and significant correlation exists between
number of insect feeding holes and number of Podagrica specie which implies that the greater the number of
Podagrica specie, the more the number of insect feeding holes that will be observed.
A negative correlation exists between number of damaged leaves, number of damaged pod and seed
yield. This implies that greater number of damaged leaves and damaged pods will result in reduced seed yield.
A significant and positive correlation exists between number of fruits and number of damaged pods implying
that the greater the number of fruits per plant, the more the number of damaged pods that will be recorded. A
negative and significant correlation exists between number of Dysdercus spp. and seed yield in genotype 5. This
implies that higher number of Dysdercus spp. will result in reduced seed yield. Number of damaged pods had a
positive correlation with number of Dysdercus spp. implying that higher population of Dysdercus spp. will
result in increased number of damaged pods. A positive and significant correlation between number of fruit and
number of leaves per plant in genotype 8 implies that the greater the photosynthetic capacity of the plant will
likely result in increased number of fruits.
A positive correlation between number of damaged pods and number of Dysdercus spp. Indicates that
the greater the population of Dysdercus spp., the higher the number of damaged pods recorded. A negative
correlation between number of damaged leaves, number of Dysdercus spp., number of insect feeding holes,
number of Podagrica spp. and seed yield implies that reduced number of damaged leaves, reduced population of
Dysdercus spp. and Podagrica spp. and reduced number of insect feeding holes recorded will likely result in
increased seed yield. A significant and positive correlation exist in number of fruits, number of damaged pods
and number of leaves in genotype 12. This implies that increased number of leaves will likely result in increased
number of fruits and this will lead to increased number of damaged pods. A positive correlation between
number of fruits and number of Dysdercus spp.; and number of damaged pods and number of Dysdercus spp.
Implies that more fruits attract higher population of Dysdercus spp. and this will likely result in increased
number of damaged pods which will invariably result in reduced seed yield.
Table 4:- Biochemical Composition of the West African Okra Genotypes
Genotype

% Tannin

% Saponin

% Alkaloid

% Cardenoloids

% Steroid

% Terpenes

P1
P5
P6
P8
P11
P12

0.069
0.064
0.079
0.860
0.094
0.076

0.430
0.390
0.550
0.580
0.640
0.470

1.150
1.060
2.150
2.260
2.340
1.180

0. 230
0.180
0.670
0.750
0.840
0.270

0.210
0.130
0.390
0.440
0.520
0.160

0.043
0.038
0.055
0.058
0.062
0.049.

Table 4 shows the biochemical composition of the genotypes of West African Okra. The biochemical
analysis indicates the presence of tannin, saponin, alkaloid, cardenoloids, steroids and terpenes in the genotypes.
Genotype 5 recorded the least percentage of all the chemical constituents of mean 0.064%, 0.390%, 1.060%,
0.180%, 0.130% and 0.038% of the chemicals respectively. The highest percentage of the chemicals was
recorded in genotype 11 of mean 0.094%, 0.640%, 2.340%, 0.840%, 0.520% and 0.062% respectively. The
biochemical analysis clearly shows why genotype 11 was more resistant to both Podagrica spp. and Dysdercus
superstitiosus attack than the other genotypes.
From this analysis, it was revealed that the high yielding genotype recorded a reduced population of
Podagrica spp. and Dysdercus spp. The results of the biochemical analysis carried out on the genotypes
revealed that the genotypes with an elevated level of the bioactive ingredient attracted less number of insect
which acted as deterrents to the insects by resisting such insects from feeding and ovipositioning on them
compared to the ones with low level of the bioactive ingredients. The biochemical analysis revealed the
presence of tannin, saponin, alkaloid, cardenoloid, steroid, and terpenes in the genotypes. The genotype with
www.iosrjournals.org

28 | Page
Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus
high percentage of these compounds recorded a lower insect population compared to the ones that contained a
lower percentage of these compounds. This finding agrees with the findings of Smith (1989) that allelochemical
compounds acting as deterrent are frequently alkaloids, favonoids, terpenes, lactones and phenols. Similarly,
Lale and Efeovbokhan(1991) and Epino and Rejesus (1983) reported that the presence of harmful chemical
compounds in the seed testa of a resistant cowpea variety prevented them from being attacked by insects.
Palaniappan and Annadurai (1999) and Farlex (2004) reported that pest repellent plants may serve as
an alternative method in controlling pests in organic agriculture and thus avoid the use of synthetic pesticides.
Supawan and Ranamukhaarachchi (2006) also reported the potential of integrating specific pest repellent plants
in intercropping to reduce populations of specific insect pests and percentage damage and to increase the quality
and marketable yield of Chinese kale, Brassica oleracea.

V.

Conclusion

From the study it could be concluded that the resistant varieties will reduce dependency on pesticides
and will save the much needed money currently being used for the purchase of chemical pesticides. Also the use
of resistant varieties will eliminate the consumption of chemical pesticide which are left as residues in farm
produce; also reduce the damage often done to the environment as a result of pollution through the use of
pesticide. From this study, the three genotypes (NGAE-96-0067, NGEA-96-0123 and CEN 010) could be
recommended to farmers due to their high fruit yield in spite of insect attack.

References
[1].
[2].
[3].
[4].
[5].
[6].
[7].
[8].
[9].
[10].
[11].
[12].
[13].
[14].
[15].
[16].
[17].
[18].

Ariyo O.J. 1993. Genetic diversity in West African Okra, Abelmoschus callei (A. Chev) Stevels multivariate analysis of
morphological and agronomic characteristic. Genetic Res. And crop Evol. 40:25-32.
Awasthi, M.D. 2001. Pesticide residues infruit and vegetables. In: Parvatha Reddy, P., A. Verghese and N.K.
Krishna
Kumar(eds.), Integrated Pest Management in Horticultural Ecosystems, pp: 263-78. Capital Publishing Company, New Delhi,
Indisa.
Chaudhary, H.R and Deedhack, L.N. 1989. Incidence of insects attack on okra and the avoidable losses by them. Annals of
aridzone 28:305- 307.
Epino, P.B. and Rejesus, B.M. 1983. Physico- chemical properties of mungbean, Vigna radiata (wilkzec)L. Philippine
Entomologist. 6:607-620
FAO. 1972. Food Composition Table for use in Africa sited from H.D. Tindall. Vegetables in the Tropics Macmillan Press Ltd.
Hong Kong Pp 335.
Farlex, 2004. Integrated Pest Management. http:// encyclopedia.thefreedictionary.com (Accessed November 11, 2004 ).
Harris, J. and Dent, D. 1999. Priorities in Bio- pesticide R and D in Developing Countries.http:// www. Biopesticide.org/ Reports/
Priorities- BP. Htm (Accessed December 8, 2003).
Hill, D.S. and Waller, J. 1994. Pests and Diseases of Tropical Crops. Cambridge University Press, London. pp. 101-134.
Kumar, N.K. and Moorthy, P.N. 2001. Integrated Pest Management of insects damaging solanaceous vegetables. In: Parvatha
Reddy, P., A. Verghese and N.K. Krishna Kumar(eds.), Integrated Pest Management in Horticultural Ecosystems, pp: 34 -45.
Capital Publishing Company, New Delhi, India.
Lale, N.E.S. and Efeovbokhan, S.O 1991. Resistance status of new cowpea cultivars to a storage insect
pest, Callosobruchus
maculatus. Post harvest Biology and Technology, 1: 181-186
Oerke, E.C., Deline, H., W., Schonbeck, F. and Weber, A. 1994. Crop production and Crop protection: Estimated losses in major
food and cash crops. Elsevier, Amsterdam, Netherlands. 808pp.
Palaniappan, S.P. and Annadurai, K. 1999. Organic Farming:Theory and Practice. Scientific Publishers, Jodhpur.
Smith, C.M. 1989. Plant Resistance to insects: A fundamental approach, John ijl and Sons, New York.
Stevels, J.M.C. 1988. Une nouvelle combinaison dans Abelmoschus medik, un gombo d’ Afrique de L’ Quest et centrale Bull. Mus.
Hist. Natural, Paris, 4 serie, 10, section B, Adansonia, No 2:137-144.
Sun, B., Liang , S.B. and Zhao, W.X. 2000. Outbreak of the Soybean aphid in Suihua prefecture in 1998 and its control Strategies.
Soybean bull 1:5
Tindall, H.D. 1983. Vegetables in the Tropic. Oxford University Press, London. pp.90 -145.
Visser, J.H. 1986. Host odour perception in phytophagus insects. Ann. Rev Entomol 31: 121 -144.
Zehnder,G.,2004. Integrated PestManagement in the Home Vegetable.
Garden.http://www.clemson.edu/scg/ipm/hmeveg.htm //
Trap%20 Plants.

www.iosrjournals.org

29 | Page

Contenu connexe

Tendances

Flea Beetle: Organic Control Options
Flea Beetle: Organic Control OptionsFlea Beetle: Organic Control Options
Flea Beetle: Organic Control OptionsElisaMendelsohn
 
Effects of mycorrhizal inoculant and organic mulches on
Effects of mycorrhizal inoculant and organic mulches onEffects of mycorrhizal inoculant and organic mulches on
Effects of mycorrhizal inoculant and organic mulches onAlexander Decker
 
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in Somalia
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in SomaliaOccurrence and Extent of Fusarium Head Blight on Wheat Cultivars in Somalia
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in SomaliaPremier Publishers
 
Effects of planting dates on the population dynamics of cylas puncticollis an...
Effects of planting dates on the population dynamics of cylas puncticollis an...Effects of planting dates on the population dynamics of cylas puncticollis an...
Effects of planting dates on the population dynamics of cylas puncticollis an...Alexander Decker
 
non chemical management of apple scab- a global perspective
non  chemical management of apple scab- a global perspectivenon  chemical management of apple scab- a global perspective
non chemical management of apple scab- a global perspectiveIJEAB
 
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...Dheeraj Vasu
 
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...Journal of Agriculture and Crops
 
Biological control of oilseed pests
Biological control of oilseed pestsBiological control of oilseed pests
Biological control of oilseed pestsArun Kumar
 
Cassava green mite a case study of biological control
Cassava green mite   a case study of biological controlCassava green mite   a case study of biological control
Cassava green mite a case study of biological controlJawwad Mirza
 
Discuss the role of a weed seed bank
Discuss the role of a weed seed bankDiscuss the role of a weed seed bank
Discuss the role of a weed seed bankTakudzwa Mandizvo
 
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...editorijrei
 
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...Alexander Decker
 
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...paperpublications3
 

Tendances (18)

Flea Beetle: Organic Control Options
Flea Beetle: Organic Control OptionsFlea Beetle: Organic Control Options
Flea Beetle: Organic Control Options
 
Effects of mycorrhizal inoculant and organic mulches on
Effects of mycorrhizal inoculant and organic mulches onEffects of mycorrhizal inoculant and organic mulches on
Effects of mycorrhizal inoculant and organic mulches on
 
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
 
Host Diversity of Mealybugs in Thrissur District, Kerala State, India
Host Diversity of Mealybugs in Thrissur District, Kerala State, IndiaHost Diversity of Mealybugs in Thrissur District, Kerala State, India
Host Diversity of Mealybugs in Thrissur District, Kerala State, India
 
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in Somalia
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in SomaliaOccurrence and Extent of Fusarium Head Blight on Wheat Cultivars in Somalia
Occurrence and Extent of Fusarium Head Blight on Wheat Cultivars in Somalia
 
Effects of planting dates on the population dynamics of cylas puncticollis an...
Effects of planting dates on the population dynamics of cylas puncticollis an...Effects of planting dates on the population dynamics of cylas puncticollis an...
Effects of planting dates on the population dynamics of cylas puncticollis an...
 
non chemical management of apple scab- a global perspective
non  chemical management of apple scab- a global perspectivenon  chemical management of apple scab- a global perspective
non chemical management of apple scab- a global perspective
 
Grasshopper Management
Grasshopper ManagementGrasshopper Management
Grasshopper Management
 
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...
Controlling the Root-knot Nematodes (RKNs) Hamid Abbasi Moghaddam*and Mohamma...
 
Myoporum Thrips Integrated Pest Management
Myoporum Thrips Integrated Pest ManagementMyoporum Thrips Integrated Pest Management
Myoporum Thrips Integrated Pest Management
 
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...
Effects of Cropping Patterns on the Flea Beetles, Podagrica Spp. (Coleoptera:...
 
Biological control of oilseed pests
Biological control of oilseed pestsBiological control of oilseed pests
Biological control of oilseed pests
 
Grasshoppers Integrated Pest Management
Grasshoppers Integrated Pest ManagementGrasshoppers Integrated Pest Management
Grasshoppers Integrated Pest Management
 
Cassava green mite a case study of biological control
Cassava green mite   a case study of biological controlCassava green mite   a case study of biological control
Cassava green mite a case study of biological control
 
Discuss the role of a weed seed bank
Discuss the role of a weed seed bankDiscuss the role of a weed seed bank
Discuss the role of a weed seed bank
 
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...
[1] ijrei vol 1, issue-2Community analysis of key pests associated with menth...
 
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...
Efficacy of trichoderma harzianum, poultry manure and yeast on the growth and...
 
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...
MICROORGANISMS ASSOCIATED WITH THE SPOILAGE OF CUCUMBER, GARDEN EGG AND PAWPA...
 

En vedette

Pandemic Planning
Pandemic PlanningPandemic Planning
Pandemic PlanningVASS Yukon
 
A Novel Approach for Tracking with Implicit Video Shot Detection
A Novel Approach for Tracking with Implicit Video Shot DetectionA Novel Approach for Tracking with Implicit Video Shot Detection
A Novel Approach for Tracking with Implicit Video Shot DetectionIOSR Journals
 
Investigation on Using Fractal Geometry for Classification of Partial Dischar...
Investigation on Using Fractal Geometry for Classification of Partial Dischar...Investigation on Using Fractal Geometry for Classification of Partial Dischar...
Investigation on Using Fractal Geometry for Classification of Partial Dischar...IOSR Journals
 
Static Slicing Technique with Algorithmic Approach
Static Slicing Technique with Algorithmic ApproachStatic Slicing Technique with Algorithmic Approach
Static Slicing Technique with Algorithmic ApproachIOSR Journals
 
Incidence of Equine Hoof Derangements in Malaysian Horse Population
Incidence of Equine Hoof Derangements in Malaysian Horse PopulationIncidence of Equine Hoof Derangements in Malaysian Horse Population
Incidence of Equine Hoof Derangements in Malaysian Horse PopulationIOSR Journals
 
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...IOSR Journals
 
130729【let53全国研究大会】003.key
130729【let53全国研究大会】003.key130729【let53全国研究大会】003.key
130729【let53全国研究大会】003.keySei Sumi
 
Творческое чтение и развитие одарённости
Творческое чтение и развитие одарённостиТворческое чтение и развитие одарённости
Творческое чтение и развитие одарённостиNatalya Dyrda
 
Adapting Software Components Dynamically for the Grid
Adapting Software Components Dynamically for the GridAdapting Software Components Dynamically for the Grid
Adapting Software Components Dynamically for the GridIOSR Journals
 
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...Anastasia Lanina
 
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)IOSR Journals
 
Modeling of generation and propagation of cardiac action potential using frac...
Modeling of generation and propagation of cardiac action potential using frac...Modeling of generation and propagation of cardiac action potential using frac...
Modeling of generation and propagation of cardiac action potential using frac...IOSR Journals
 
Performance Analysis of CSI Based PV system During LL and TPG faults
Performance Analysis of CSI Based PV system During LL and TPG faultsPerformance Analysis of CSI Based PV system During LL and TPG faults
Performance Analysis of CSI Based PV system During LL and TPG faultsIOSR Journals
 

En vedette (20)

G01044345
G01044345G01044345
G01044345
 
Pandemic Planning
Pandemic PlanningPandemic Planning
Pandemic Planning
 
A Novel Approach for Tracking with Implicit Video Shot Detection
A Novel Approach for Tracking with Implicit Video Shot DetectionA Novel Approach for Tracking with Implicit Video Shot Detection
A Novel Approach for Tracking with Implicit Video Shot Detection
 
Investigation on Using Fractal Geometry for Classification of Partial Dischar...
Investigation on Using Fractal Geometry for Classification of Partial Dischar...Investigation on Using Fractal Geometry for Classification of Partial Dischar...
Investigation on Using Fractal Geometry for Classification of Partial Dischar...
 
B0520710
B0520710B0520710
B0520710
 
G0424249
G0424249G0424249
G0424249
 
Static Slicing Technique with Algorithmic Approach
Static Slicing Technique with Algorithmic ApproachStatic Slicing Technique with Algorithmic Approach
Static Slicing Technique with Algorithmic Approach
 
A0950110
A0950110A0950110
A0950110
 
Incidence of Equine Hoof Derangements in Malaysian Horse Population
Incidence of Equine Hoof Derangements in Malaysian Horse PopulationIncidence of Equine Hoof Derangements in Malaysian Horse Population
Incidence of Equine Hoof Derangements in Malaysian Horse Population
 
C0552124
C0552124C0552124
C0552124
 
E01053539
E01053539E01053539
E01053539
 
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...
Effect of Age of Spawned Catfish (Clarias Gariepinus) Broodstock on Quantity ...
 
130729【let53全国研究大会】003.key
130729【let53全国研究大会】003.key130729【let53全国研究大会】003.key
130729【let53全国研究大会】003.key
 
H1 n1.q&a
H1 n1.q&aH1 n1.q&a
H1 n1.q&a
 
Творческое чтение и развитие одарённости
Творческое чтение и развитие одарённостиТворческое чтение и развитие одарённости
Творческое чтение и развитие одарённости
 
Adapting Software Components Dynamically for the Grid
Adapting Software Components Dynamically for the GridAdapting Software Components Dynamically for the Grid
Adapting Software Components Dynamically for the Grid
 
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...
Презентация Чечельницкого района - Проект приграничного сотрудничества Украин...
 
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)
Luminescence of Cesium Thiocyanate (CsSCN) doped with Eu2+ (CsSCN:Eu2+)
 
Modeling of generation and propagation of cardiac action potential using frac...
Modeling of generation and propagation of cardiac action potential using frac...Modeling of generation and propagation of cardiac action potential using frac...
Modeling of generation and propagation of cardiac action potential using frac...
 
Performance Analysis of CSI Based PV system During LL and TPG faults
Performance Analysis of CSI Based PV system During LL and TPG faultsPerformance Analysis of CSI Based PV system During LL and TPG faults
Performance Analysis of CSI Based PV system During LL and TPG faults
 

Similaire à Effects of Chemical Constituents on Insect Pest Population in West African Okra, Abelmoschus

11.[46 51]effect of plant extracts on post flowering insect pests and grain y...
11.[46 51]effect of plant extracts on post flowering insect pests and grain y...11.[46 51]effect of plant extracts on post flowering insect pests and grain y...
11.[46 51]effect of plant extracts on post flowering insect pests and grain y...Alexander Decker
 
Unit-2-crop-protection.pptx
Unit-2-crop-protection.pptxUnit-2-crop-protection.pptx
Unit-2-crop-protection.pptxrdolarpasco21
 
Insecticide effect of plant extracts on aphids of watermelon
Insecticide effect of plant extracts on aphids of watermelonInsecticide effect of plant extracts on aphids of watermelon
Insecticide effect of plant extracts on aphids of watermelonAlexander Decker
 
Sri et al, 2013_weeds management
Sri et al, 2013_weeds managementSri et al, 2013_weeds management
Sri et al, 2013_weeds managementSri Ngatimin
 
Comparison the effect insecticide of the oils of six plant extracts on the ap...
Comparison the effect insecticide of the oils of six plant extracts on the ap...Comparison the effect insecticide of the oils of six plant extracts on the ap...
Comparison the effect insecticide of the oils of six plant extracts on the ap...Alexander Decker
 
Cultivar differences in the level of protection against plant
Cultivar differences in the level of protection against plantCultivar differences in the level of protection against plant
Cultivar differences in the level of protection against plantAlexander Decker
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlElisaMendelsohn
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlElisaMendelsohn
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlElisaMendelsohn
 
CULTURAL CONTROL of insect pest
CULTURAL CONTROL of insect pestCULTURAL CONTROL of insect pest
CULTURAL CONTROL of insect pestsobhagya tripathy
 
Insights of allelopathic, insecticidal and repellent potential of an invasive...
Insights of allelopathic, insecticidal and repellent potential of an invasive...Insights of allelopathic, insecticidal and repellent potential of an invasive...
Insights of allelopathic, insecticidal and repellent potential of an invasive...Innspub Net
 
integrated pest management in brinjal
integrated pest management in brinjalintegrated pest management in brinjal
integrated pest management in brinjalMahesh Kurumashetty
 
201303315 growth-regulators-inductors-si-mi rna
201303315 growth-regulators-inductors-si-mi rna201303315 growth-regulators-inductors-si-mi rna
201303315 growth-regulators-inductors-si-mi rnahomeworkping4
 
trap cropping 2022.pdf
trap cropping 2022.pdftrap cropping 2022.pdf
trap cropping 2022.pdfyadavbreeding
 
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...EngrNwigwePromiseChu
 
Synergetic effects of various plant extracts as bio-pesticide against wheat a...
Synergetic effects of various plant extracts as bio-pesticide against wheat a...Synergetic effects of various plant extracts as bio-pesticide against wheat a...
Synergetic effects of various plant extracts as bio-pesticide against wheat a...Muhammad Qasim
 
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...AI Publications
 
Insects pests of Cotton
Insects pests of CottonInsects pests of Cotton
Insects pests of CottonAmmad Ahmad
 

Similaire à Effects of Chemical Constituents on Insect Pest Population in West African Okra, Abelmoschus (20)

11.[46 51]effect of plant extracts on post flowering insect pests and grain y...
11.[46 51]effect of plant extracts on post flowering insect pests and grain y...11.[46 51]effect of plant extracts on post flowering insect pests and grain y...
11.[46 51]effect of plant extracts on post flowering insect pests and grain y...
 
Unit-2-crop-protection.pptx
Unit-2-crop-protection.pptxUnit-2-crop-protection.pptx
Unit-2-crop-protection.pptx
 
Insecticide effect of plant extracts on aphids of watermelon
Insecticide effect of plant extracts on aphids of watermelonInsecticide effect of plant extracts on aphids of watermelon
Insecticide effect of plant extracts on aphids of watermelon
 
Sri et al, 2013_weeds management
Sri et al, 2013_weeds managementSri et al, 2013_weeds management
Sri et al, 2013_weeds management
 
Comparison the effect insecticide of the oils of six plant extracts on the ap...
Comparison the effect insecticide of the oils of six plant extracts on the ap...Comparison the effect insecticide of the oils of six plant extracts on the ap...
Comparison the effect insecticide of the oils of six plant extracts on the ap...
 
Cultivar differences in the level of protection against plant
Cultivar differences in the level of protection against plantCultivar differences in the level of protection against plant
Cultivar differences in the level of protection against plant
 
Pakistan Journal of Science
Pakistan Journal of SciencePakistan Journal of Science
Pakistan Journal of Science
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid Control
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid Control
 
Greenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid ControlGreenhouse IPM: Sustainable Aphid Control
Greenhouse IPM: Sustainable Aphid Control
 
CULTURAL CONTROL of insect pest
CULTURAL CONTROL of insect pestCULTURAL CONTROL of insect pest
CULTURAL CONTROL of insect pest
 
Insights of allelopathic, insecticidal and repellent potential of an invasive...
Insights of allelopathic, insecticidal and repellent potential of an invasive...Insights of allelopathic, insecticidal and repellent potential of an invasive...
Insights of allelopathic, insecticidal and repellent potential of an invasive...
 
integrated pest management in brinjal
integrated pest management in brinjalintegrated pest management in brinjal
integrated pest management in brinjal
 
201303315 growth-regulators-inductors-si-mi rna
201303315 growth-regulators-inductors-si-mi rna201303315 growth-regulators-inductors-si-mi rna
201303315 growth-regulators-inductors-si-mi rna
 
trap cropping 2022.pdf
trap cropping 2022.pdftrap cropping 2022.pdf
trap cropping 2022.pdf
 
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...
ASSESSMENT OF TOXIC PRODUCING FUNGI IN STORED GRAINS (RICE, BEANS, WHEAT, GRO...
 
Synergetic effects of various plant extracts as bio-pesticide against wheat a...
Synergetic effects of various plant extracts as bio-pesticide against wheat a...Synergetic effects of various plant extracts as bio-pesticide against wheat a...
Synergetic effects of various plant extracts as bio-pesticide against wheat a...
 
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...
Types and Percentations of Parasitization Egg Parasitoids Spodoptera frugiper...
 
integrated pest management practices for cotton
integrated pest management practices for cottonintegrated pest management practices for cotton
integrated pest management practices for cotton
 
Insects pests of Cotton
Insects pests of CottonInsects pests of Cotton
Insects pests of Cotton
 

Plus de IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Dernier

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 

Dernier (20)

DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 

Effects of Chemical Constituents on Insect Pest Population in West African Okra, Abelmoschus

  • 1. IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 5, Issue 1 (Sep.- Oct. 2013), PP 23-29 www.iosrjournals.org Effects of Chemical Constituents on Insect Pest Population in West African Okra, Abelmoschus 1 Adewusi, O.F1 And Oshipitan A.A2. Department of Crop, Soil and Pest Management, Federal University of Technology Akure, Ondo State, Nigeria. 2 Department of Crop Protection, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria. Abstract: A study was carried out on the effects of chemical constituents on insect pest attack on genotypes in West African Okra, Abelmoschus caillei. The growth and yield response of the genotypes to pest infestation was determined. The biochemical analysis was carried out using the seeds of the genotypes to determine the bioactive ingredients content. Field experiment was laid out in Randomized Complete Block Design (RCBD) with four replications. The result indicated that three of the genotypes, (CEN 010, , NGAE-96-0123 and NGAE -96- 0067) attracted less number of insects, recorded lower percentage of leaf damage (27.19%, 27.41% and 31.73%) and percentage pod damage ( 22.06%, 35.68% and 40.46%) and recorded higher level of harmful bioactive ingredients which conferred resistance to insect attack compared to the susceptible ones. The result of correlation analysis carried out between seed yield and the other traits show that a significant and positive exists between number of fruits per plant and number of damaged pods; number of insect feeding holes and number of Podagrica spp.; number of damaged pods and number of Dysdercus superstitiosus. A negative correlation also exists between number of damaged leaves, number of Dysdercus superstitiosus, number of insect feeding holes,number of Podagrica spp. and seed yield. From the study, it can be concluded that antixenosis was the basis of resistance to insect attack. Three of the genotypes (NGAE- 96-0067, NGAE-96-123 and CEN 010) used in this study are therefore recommended to farmers because of their economic value inspite of insect attack. Key word: Abelmoschus caillei, chemical constituents, insect population, Dysdercus superstitiosus, Podagrica spp., Genotypes. I. Introduction West African okra, Abelmoschus caillei [A.chev] Stevels belongs to the family malvaceae. It is found throughout the high rainfall zones and is mainly grown for subsistence. Stevels (1988) described West African okra as a separate specie based on observation in Cameroon and on work carried out by Siemonsma in Cote d’Ivore between 1977 and 1980. A. caillei is mainly found in the humid coastal zones of west and central African and more sparingly in its savannah belt. It is much more abundant in the North of the Equator than the South of it. It is commonly found around homes and along roads (Ariyo, 1993) but rarely in undisturbed forests. It is much appreciated because it continues fruiting during dry season when few other vegetables can be found thus providing the farmers with addition income. In contrast, the common okra, Abelmoschus esculentus [L] Moench fruits only during the rainy season or under irrigation. West African okra remains green during the period of drought, thus allowing people to eat its young leaves when needed. Since the identification of A. caillei as a second cultivated okra crop in Africa, there had been several germplasm collecting missions and the characteristic of the new specie is still being studied in detail. A. caillei is a multipurpose crop valued for its tender and delicious pods which are bigger than the pods of A. esculentus (L) Moench. Furthermore, the tender pods of okra at edible stage contains 88ml H2O, 2.1g protein, 0.2g fat, 175.2mg minerals and 232.72mg vitamin in 100g of edible portion; the edible leaves contain about 81ml H20, 56 calories of energy, 11g carbohydrate, 4.4 protein, 0.6 fat, 2.1 fibre, 602.7mg mineral and 44.72mg vitamin per 100g (FAO, 1972).As common to other crops, pest infestation on vegetables has negative effect on their yields. Over the year, pesticides have been used to control insect attack but this has always resulted in increased cost of production and sometimes having residual effect on the environments. Breeding programs that confer resistance to pest attack is needful in order to ensure food security. Plants show the resistance mechanism that deter the prevalent insects pests from inflicting on them any form of injury. Such resistance includes: Non-Preference (antixenosis) in which normal behavior is impaired to reduce chances of injury by pest specie. There is also the presence of morphological factors which affects the insects’ penetration and such structure include: trichomes, glandular hair, gummy exudates, pubescence, tissue toughness or hardness. II. Insects Pest Of Okra And Their Economic Importance Yield of agricultural crops is often reduced below its potential because of pests and diseases. The control of these pests invariably results in increase yield but also increase in cost of production. It is often www.iosrjournals.org 23 | Page
  • 2. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus observed that most insecticides used in controlling pest population are not effective in totally eliminating the pest because additional pest may immigrate after application and some of the pest may even survive pesticide application. Thus, one practical means of achieving greater yields is to minimize the pest associated losses which are estimated at 14% of the total agricultural production. (Oerke et al, 1994). Each crop has its own peculiar pest limiting its productivity. Insect pests not only cause direct loss to the agriculture products but also indirectly as vectors of various plant pathogens. Pests associated losses have been reported to be 52% in wheat, 83% in rice, 59% in maize, 74% in potato, 58% in soybean and 84% in cotton (Oerke et al, 1994). Vegetable production which is an important source of income for many small scale farmers in African is also subjected to economic loss by insects pests. One major constraint in vegetable production is the effective prevention and control of pests and disease which causes high yield losses (Tindall, 1983). Vegetable losses due to pests can be as high as 25% which can result in severe income loss to small scale farmers. Avoidable losses in okra particularly due to pest have been placed at about 54% (Chaudhary and Deedhack, 1989). Vegetable are attacked by large number of insect pest which ultimately lead to reduction in both quality and yield. The pests limiting vegetables production are classified into the following broad categories: sapsucker, leaf eaters, leaf and fruit borers, leaf rollers, flower feeders and leaf miners. Among the sapsuckers are the nymphs and adults of cotton aphid, Aphis gossypii which infest the plant by killing developing plant cells. Severally infested plant results in leaf distortion, curling and yellowing of leaves, stunted and retarted growth and failure to set bloom. It also acts as vector of viral disease (Tindall, 1983). Whiteflies, Bemisia tabaci (the adult lays eggs on the underside of the leaves and infested leaves become discolored and fall off from the plant). It also secret honeydew on plants which allow unsightly black sooty mould to grow resulting in reduced leaf area for photosynthesis. Severally infested plants have stunted and retarded growth and development. Green leaf hoppers, Empoasca spp. (feed on apices of young plant resulting in stunted and retarded growth, they also inhibit food translocation by destroying the tissues responsible for translocation (Hill, 1983); other include cotton stainers, Dysdercus superstitiosus and the cotton seed bug, Oxycarenus hyalinipennis. The leaf eaters include beetles such as: Fleabeetles, Podagrica spp. (they make round holes in leaves resulting in death of young plants. In severe infestation the infested plants have retarded and stunted development which result in reduced plant vigor and an ultimate reduction in yield); Nisotra spp. (feed on the outer layer of leaves resulting in damage of the cotyledons. Severe infestation results in plant death); spiny boll worms, Earias spp. (They damage the young growing plants by boring through the terminal shoots resulting in death of the apical growth and the infested plants have stunted and retarded growth, (Tindall, 1983). Heliothis, Helicoverpa armigera (the pest) infest the growing plant by boring circular holes in the developing fruits and flower buds and the buds wither and fall off after being bored into (Hill and waller, 1994)). The most devastating period of all insects pest is the larvae stage of the pest because the insects is at the growth stage and being highly active and effective, it is at this stage, their level of attack on growing plant has a detrimental effects on the growing plants and thus resulting in low yield. Based on this fact, it is expected that farmers should be able to recognize the insects found on their crops especially the commercial vegetable growers in order to put in place an adequate and effective pest control thus minimizing economic loss arising from reduction in yield. 2.1 Breeding For Insect Resistance In the past, insecticides were used to combat the problem of pests. Nowadays, quite a number of farmers are still using insecticides but the fact remains that the consequential effects on the total income and returns is great because of the increase in cost of production. Not only this, continuous use of the insecticide has effects on the other beneficial insects and also contamination of the environment (Sun et al, 2000). The indiscriminate use of pesticides has been reported to have led to the destruction of beneficial insects and nontarget organisms, accumulation of toxic residues on produce and human poisoning (Kumar and Moorthy, 2001; Harris and Dent, 1999). Similarly, Awasthi (2001) reported that pesticides residues especially in vegetables may create health hazards to the consumers which in turn restrict export market of vegetables. In recent years entomologists in several countries have stressed the need for developing integrated management strategies for insects control to optimize agricultural production without upsetting the balance of nature since massive application of pesticide result in adverse effects on the beneficial organisms, residual effect on crops and also environmental pollution. This has necessitated the use of target specific compound with low persistence and more emphasis should be based on integrated pest management which is based on host plant resistance to insect pests. Plant breeders and entomologists should therefore, include insects’ resistance as a component of their crop improvement program. With greater collaboration and commitment from plant breeders, biotechnologist and entomologists, crop resistance could play a major role in Integrated Pests’ Management (IPM) of insect pest www.iosrjournals.org 24 | Page
  • 3. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus of crops. In many cases multiple genes are required for sustained resistance to counter pest adaptation, thus maintaining agricultural productivity to enhance world food security. A thorough knowledge of insects, plants and their interrelationship is required to evaluate cultivar for insects’ resistance. Successful breeding for insect and disease resistance has occurred in much type of crops including vegetables, fruits, field crops and ornamentals. Hence, selecting plants variety that has resistance or tolerance to insects or disease makes it possible to avoid or lessen the use of pesticides. When plants are attacked by insects, they defend themselves through a continuum of defensive strategies including direct resistance (chemical or mechanical traits that reduce the impact of the pests); indirect resistance (traits enhancing the action of enemies of the pests) or tolerance (regrowth). The site of production of defensive metabolites is variable in plants, depending on the nature of the compound and the plant species. Several chemical constituents of plant serve as olfactory and gustatory stimuli for insects. These chemicals may be nutrients in form of sugar, amino-acid, phospholipids etc. or non-nutritive constituents that is, glycosides, alkaloids, terpenoids, etc. The insect may be repelled by plants volatile compounds without coming in contact with plant or having made contact, feeding may be suppressed or having bitten the leaf, the insects may be deterred from further feeding. A number of insects have been reported to be affected by the plant volatile compounds that are specific to their host plant (Visser, 1986). Zehnder (2004) reported that some plants contain organic compounds that act as pest repellents which protect the crops by keeping pests away from them and thus avoiding potential pest damages. III. Materials And Methods This research was carried out at the farm centre Federal Polytechnic Ilaro, Ogun State in February 2009. Six genotypes of West African Okra were utilized in this study. They were obtained from the germplasm collection of the National Centre for Genetic Resources and Biotechnology (NACGRAB), Moor Plantation, Ibadan. Table 1: The Names and Sources of Okra Genotypes Parent No Genotype name Source P1 P5 P6 P8 P11 P12 NGAE-96-0060 NGAE-96-0066 NGAE-96-0067 NGAE-96-0123 CEN 10 OWOSDE National Centre for Genetic Resources and Biotechnology (NACGRAB) The seed were sown in Feb. 2009 in a randomized completes block design using four replications each replicate measures 10m by 7m. A single row plot with an inter row spacing of 1 metre was adopted. The spacing used was 1 meter between rows and 0.6 meter within rows. Two seeds were planted per hole and later thinned to one plant per stand. A maximum of 11 plants were maintained per row. A compound fertilizer of NPK 15:15:15 was applied at the rate of 50kg/ha in two doses, first at 3 weeks after planting and secondly at flowering. Data were recorded on six mid plants of each of the accessions. Weeding of the plot was done on a regular basis from planting to harvesting. Data were collected on the following :- Number of leaves per plant, Number of damaged leaves per plant, Number of damaged pods per plant, Number of insects per plant, Number of pods per plant, Number of insects feeding holes per plant, ,Seed yield per plant and biochemical analysis of pods per plant. IV. Results And Discussion Figure 1: Population of Dysdercus spp. and Percentage of Pod Damaged Among The Genotypes Of West African Okra www.iosrjournals.org 25 | Page
  • 4. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus Figure 1 shows the population of Dysdercus superstitiosus and percentage of pod damaged among the genotypes of West African Okra. The result shows that genotype 5 was more susceptible to pod suckers recording the highest population of Dysdercus superstitiosus of mean 2.75 and highest percentage of pod damage of mean 65.67% while genotype 11 recorded the lowest population of mean 2.46 and lowest percentage of pod damage of mean 22.59% indicating that genotype 11 was more resistant to the attack of pod suckers. Figure 2: Population of Podagrica spp. And Percentage of Leaf Damaged Among The Genotypes Of West African Okra Figure 2 shows the population of Podagrica spp. and percentage leaf damage among the genotypes of West African Okra. Genotype 5 recorded the highest population of Podagrica spp. of mean 1.57 while genotype 11 recorded the lowest population of Podagrica spp. of mean 1.00. The result shows that genotype 5 was more susceptible to Podagrica attack. Genotype 5 recorded the highest percentage of leaf damage of mean 35.92% indicating that genotype 5 is more susceptible to Podagrica spp. while genotype 11 recorded the lowest percentage of mean 27.27% indicating that genotype 11 is more resistant to Podagrica spp. attack. Figure 3: Number of Insect Feeding Holes per Plant Among The Genotypes Of West African Okra. Figure 3 shows the number of insect feeding holes among the genotypes of West African Okra. Genotype 5 recorded the highest percentage of insect feeding holes per plant of mean 96.50% indicating that genotype 5 is more susceptible to Podagrica spp. While genotype 11 recorded the lowest percentage of mean 85.00% indicating that genotype 11 is more resistant to Podagrica spp. attack. Table 2:- Seed Yield Per Plant Among the Genotypes of West African Okra. Genotype Seed yield per plant P1 P5 P6 P8 P11 P12 16.69 12.90 22.78 21.26 24.17 18.20 Table 2 shows the seed yield per plant among the genotypes West African Okra. Genotype 5 recorded the lowest seed yield of mean 12.90g while genotype 11 recorded the highest seed yield of mean 24.17g. The result indicated that genotype 11 was more resistant to insect pests attack than the other genotypes and other Traits among the Genotypes of West Africa Okra. www.iosrjournals.org 26 | Page
  • 5. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus Table3: Correlation between Seed Yield NFP P1 P5 NDP NLP NDLP NDS NIFH NPS SW NFP NDP NLP NDLP NDS NIFH NPS SW NFP NFP 1 NDS 0.018 NIFH -0.004 NPS 0.319 SW 0.263 0.033 1 -0.084 -0.162 1 -0.200 0.267 -0.038 1 0.218 0.133 -0.301 -.017 1 0.378 0.043 0.525** -0.159 0.509* 1 0.429* 1 0.226 0.020 1 0.104 0.410 0.171 1 0.258 0.356 0.230 -0.097 1 0.127 0.023 0.294 0.064 -0.129 0.481* 0.449* 0.297 0.442* 0.266 1 0.163 1 * 0.392 0.483* -0.198 -0.037 0.577* 0.434* 0.114 -0.110 -0.157 0.373 -0.003 0.065 -0.215 -0.338 0.408 * 0.340 0.563* 1 1 -0.128 -0.030 -0.050 -.0570 0.168 -0.035 1 0.308 -0.215 0.272 0.121 0.427* 0.120 0.152 1 0.455* 1 1 0.261 1 -0.151 -0.136 1 -0.034 0.003 0.396 1 1 0.720* -0.172 0.339 -0.031 -0.018 0.702* -0.181 0.200 -0.052 -0.013 0.288 -0.185 1 0.417 0.030 1 -0.244 -0.127 0.495 1 -0.095 0.083 0.063 0.421 1 0.592* 0.633* -0.200 0.045 0.441* 0.136 0.044 -0.371 -0.139 -0.228 -0.185 1 0.029 1 0.087 0.070 0.088 0.279 0.156 -0.241 1 -0.137 1 0.013 -0.306 0.327 0.360 0.289 0.221 0.094 -0.244 1 0.111 1 -0.278 0.424* 0.056 -0.321 1 1 0.908* * * NLP NDLP * * * NDS NIFH P12 NDP NLP NDLP NDS NIFH * 0.027 -0.010 0.317 0.032 1 0.303 1 NDP NPS SW NFP * 1 1 NDP NLP NDLP NDS NIFH NPS SW NFP P11 NDLP -0.267 NLP NDLP NDS NIFH NPS SW NFP P8 NLP 0.341 1 NDP P6 NDP 0.555* 1 0.774* 0.625* -0.370 0.336 0.032 0.067 -0.044 1 -0.217 1 0.502* 1 -0.053 -0.163 1 0.290 0.196 -0.027 1 0.000 0.376 0.042 -0.380 1 0.165 0.277 0.133 0.173 0.117 -0.211 0.164 -0.097 0.177 0.030 1 0.412 * * NPS SW 1 www.iosrjournals.org 27 | Page
  • 6. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus .*. Correlation is significant at the 0.05 level (1-tailed). **. Correlation is significant at the 0.01 level (2-tailed). NFP =Number of fruits per plant, NDP = Number of damaged pods per plant, NLP = Number of leaves per plant, NDLP = Number of damaged leaves per plant, NDS = Number of Dysdercus superstitiosus per plant, NIFH = Number of insect feeding holes per plant, NPS = Number of Podagrica spp. per plant and SW =Seed yield per plant Table 3 shows the correlation between seed yield and the other traits among the West African okra genotypes. In genotype 6, a significant and positive correlation exists between number of fruits per plant, number of leaves per plant and seed yield. This implies that more leaves production will result in increased photosynthetic capacity of the plant which will invariably lead to more fruit production which will result in increased seed yield since more fruits will contain more seeds. A significant and positive correlation exists between number of fruits per plant and number of damaged pods in genotype 1. This implies that higher number of fruits will result in increased number of damaged pods. A positive and significant correlation exists between number of insect feeding holes and number of Podagrica specie which implies that the greater the number of Podagrica specie, the more the number of insect feeding holes that will be observed. A negative correlation exists between number of damaged leaves, number of damaged pod and seed yield. This implies that greater number of damaged leaves and damaged pods will result in reduced seed yield. A significant and positive correlation exists between number of fruits and number of damaged pods implying that the greater the number of fruits per plant, the more the number of damaged pods that will be recorded. A negative and significant correlation exists between number of Dysdercus spp. and seed yield in genotype 5. This implies that higher number of Dysdercus spp. will result in reduced seed yield. Number of damaged pods had a positive correlation with number of Dysdercus spp. implying that higher population of Dysdercus spp. will result in increased number of damaged pods. A positive and significant correlation between number of fruit and number of leaves per plant in genotype 8 implies that the greater the photosynthetic capacity of the plant will likely result in increased number of fruits. A positive correlation between number of damaged pods and number of Dysdercus spp. Indicates that the greater the population of Dysdercus spp., the higher the number of damaged pods recorded. A negative correlation between number of damaged leaves, number of Dysdercus spp., number of insect feeding holes, number of Podagrica spp. and seed yield implies that reduced number of damaged leaves, reduced population of Dysdercus spp. and Podagrica spp. and reduced number of insect feeding holes recorded will likely result in increased seed yield. A significant and positive correlation exist in number of fruits, number of damaged pods and number of leaves in genotype 12. This implies that increased number of leaves will likely result in increased number of fruits and this will lead to increased number of damaged pods. A positive correlation between number of fruits and number of Dysdercus spp.; and number of damaged pods and number of Dysdercus spp. Implies that more fruits attract higher population of Dysdercus spp. and this will likely result in increased number of damaged pods which will invariably result in reduced seed yield. Table 4:- Biochemical Composition of the West African Okra Genotypes Genotype % Tannin % Saponin % Alkaloid % Cardenoloids % Steroid % Terpenes P1 P5 P6 P8 P11 P12 0.069 0.064 0.079 0.860 0.094 0.076 0.430 0.390 0.550 0.580 0.640 0.470 1.150 1.060 2.150 2.260 2.340 1.180 0. 230 0.180 0.670 0.750 0.840 0.270 0.210 0.130 0.390 0.440 0.520 0.160 0.043 0.038 0.055 0.058 0.062 0.049. Table 4 shows the biochemical composition of the genotypes of West African Okra. The biochemical analysis indicates the presence of tannin, saponin, alkaloid, cardenoloids, steroids and terpenes in the genotypes. Genotype 5 recorded the least percentage of all the chemical constituents of mean 0.064%, 0.390%, 1.060%, 0.180%, 0.130% and 0.038% of the chemicals respectively. The highest percentage of the chemicals was recorded in genotype 11 of mean 0.094%, 0.640%, 2.340%, 0.840%, 0.520% and 0.062% respectively. The biochemical analysis clearly shows why genotype 11 was more resistant to both Podagrica spp. and Dysdercus superstitiosus attack than the other genotypes. From this analysis, it was revealed that the high yielding genotype recorded a reduced population of Podagrica spp. and Dysdercus spp. The results of the biochemical analysis carried out on the genotypes revealed that the genotypes with an elevated level of the bioactive ingredient attracted less number of insect which acted as deterrents to the insects by resisting such insects from feeding and ovipositioning on them compared to the ones with low level of the bioactive ingredients. The biochemical analysis revealed the presence of tannin, saponin, alkaloid, cardenoloid, steroid, and terpenes in the genotypes. The genotype with www.iosrjournals.org 28 | Page
  • 7. Effects Of Chemical Constituents On Insect Pest Population In West African Okra, Abelmoschus high percentage of these compounds recorded a lower insect population compared to the ones that contained a lower percentage of these compounds. This finding agrees with the findings of Smith (1989) that allelochemical compounds acting as deterrent are frequently alkaloids, favonoids, terpenes, lactones and phenols. Similarly, Lale and Efeovbokhan(1991) and Epino and Rejesus (1983) reported that the presence of harmful chemical compounds in the seed testa of a resistant cowpea variety prevented them from being attacked by insects. Palaniappan and Annadurai (1999) and Farlex (2004) reported that pest repellent plants may serve as an alternative method in controlling pests in organic agriculture and thus avoid the use of synthetic pesticides. Supawan and Ranamukhaarachchi (2006) also reported the potential of integrating specific pest repellent plants in intercropping to reduce populations of specific insect pests and percentage damage and to increase the quality and marketable yield of Chinese kale, Brassica oleracea. V. Conclusion From the study it could be concluded that the resistant varieties will reduce dependency on pesticides and will save the much needed money currently being used for the purchase of chemical pesticides. Also the use of resistant varieties will eliminate the consumption of chemical pesticide which are left as residues in farm produce; also reduce the damage often done to the environment as a result of pollution through the use of pesticide. From this study, the three genotypes (NGAE-96-0067, NGEA-96-0123 and CEN 010) could be recommended to farmers due to their high fruit yield in spite of insect attack. References [1]. [2]. [3]. [4]. [5]. [6]. [7]. [8]. [9]. [10]. [11]. [12]. [13]. [14]. [15]. [16]. [17]. [18]. Ariyo O.J. 1993. Genetic diversity in West African Okra, Abelmoschus callei (A. Chev) Stevels multivariate analysis of morphological and agronomic characteristic. Genetic Res. And crop Evol. 40:25-32. Awasthi, M.D. 2001. Pesticide residues infruit and vegetables. In: Parvatha Reddy, P., A. Verghese and N.K. Krishna Kumar(eds.), Integrated Pest Management in Horticultural Ecosystems, pp: 263-78. Capital Publishing Company, New Delhi, Indisa. Chaudhary, H.R and Deedhack, L.N. 1989. Incidence of insects attack on okra and the avoidable losses by them. Annals of aridzone 28:305- 307. Epino, P.B. and Rejesus, B.M. 1983. Physico- chemical properties of mungbean, Vigna radiata (wilkzec)L. Philippine Entomologist. 6:607-620 FAO. 1972. Food Composition Table for use in Africa sited from H.D. Tindall. Vegetables in the Tropics Macmillan Press Ltd. Hong Kong Pp 335. Farlex, 2004. Integrated Pest Management. http:// encyclopedia.thefreedictionary.com (Accessed November 11, 2004 ). Harris, J. and Dent, D. 1999. Priorities in Bio- pesticide R and D in Developing Countries.http:// www. Biopesticide.org/ Reports/ Priorities- BP. Htm (Accessed December 8, 2003). Hill, D.S. and Waller, J. 1994. Pests and Diseases of Tropical Crops. Cambridge University Press, London. pp. 101-134. Kumar, N.K. and Moorthy, P.N. 2001. Integrated Pest Management of insects damaging solanaceous vegetables. In: Parvatha Reddy, P., A. Verghese and N.K. Krishna Kumar(eds.), Integrated Pest Management in Horticultural Ecosystems, pp: 34 -45. Capital Publishing Company, New Delhi, India. Lale, N.E.S. and Efeovbokhan, S.O 1991. Resistance status of new cowpea cultivars to a storage insect pest, Callosobruchus maculatus. Post harvest Biology and Technology, 1: 181-186 Oerke, E.C., Deline, H., W., Schonbeck, F. and Weber, A. 1994. Crop production and Crop protection: Estimated losses in major food and cash crops. Elsevier, Amsterdam, Netherlands. 808pp. Palaniappan, S.P. and Annadurai, K. 1999. Organic Farming:Theory and Practice. Scientific Publishers, Jodhpur. Smith, C.M. 1989. Plant Resistance to insects: A fundamental approach, John ijl and Sons, New York. Stevels, J.M.C. 1988. Une nouvelle combinaison dans Abelmoschus medik, un gombo d’ Afrique de L’ Quest et centrale Bull. Mus. Hist. Natural, Paris, 4 serie, 10, section B, Adansonia, No 2:137-144. Sun, B., Liang , S.B. and Zhao, W.X. 2000. Outbreak of the Soybean aphid in Suihua prefecture in 1998 and its control Strategies. Soybean bull 1:5 Tindall, H.D. 1983. Vegetables in the Tropic. Oxford University Press, London. pp.90 -145. Visser, J.H. 1986. Host odour perception in phytophagus insects. Ann. Rev Entomol 31: 121 -144. Zehnder,G.,2004. Integrated PestManagement in the Home Vegetable. Garden.http://www.clemson.edu/scg/ipm/hmeveg.htm // Trap%20 Plants. www.iosrjournals.org 29 | Page