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Postharvest and
                                            Food Safety
                                          Management for
                                          Improved Health
                                            and Income




                                   Kerstin Hell
International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Outline

 Introduction
 Factors that influence post harvest quality
 Research to address post harvest
   constraints
   - post harvest systems analysis
   - control of pests
   - diffusion and adoption of new
   technologies
 Mycotoxin research
 Future needs


                        International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Food Systems

 Large Scale and Regulated
   –   Developed countries
   –   Trade based
   –   Advanced infrastructure
   –   Capital intensive

 Small Scale and Unregulated
   –   Developing countries
   –   Informal markets
   –   Subsistence
   –   High food insecurity                               Tim Williams, Peanut CRSP
                 International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Post harvest systems in Africa - constraints


• Almost all operations are manual – leading to high
  losses and poor quality
• Potential for rapid drying low – high moisture and
  increased fungal development
• Storage structures open and often poorly ventilated -
  increased losses due to pest and diseases
• Long holding periods in open stores – leading to
  theft, infection with pests and diseases
• Poor to no access to storage insecticides
• Poor marketing system - leading to increased losses
  and low prices low incentive for increased production


                   International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Evaluation of post harvest system

    • Development of post harvest insects and fungi in three different
      traditional storage structures in Benin
    • Vegetable material stores (VMS)
    • Mud silo store (MSS)
    • Polyethylene bag storage (PBS)
    • 4 sites in different agroecological zones, monitored monthly for 7
      months
    • Serious levels of Sitophilus zeamais (highest in the south and in the
      VMS) and Prostephanus truncatus (high levels in the VMS and later
      in the season in the PBS)
    • Highest moisture content in the coastal zone decreasing towards the
      north (16,5% south to 9,9% north)
    • Most prevalent fungi were Fusarium spp. highest levels observed in
      Aplahoué (south), whereas Penicillium and Aspergillus spp. were
      found mostly in Ouessè (middle)

Hell et al. 2008 submitted to Journal of Applied Entomology
                                        International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Effects of four temperatures (20, 25, 30 and 35 C) and two
                       relative humidity levels (44 and 80% RH) on development time,
                       survivorship, age-specific fecundity, sex ratio and intrinsic rate
                       of natural increase (rm) of S. cerealella
•    Minimum      development
     time occurred close to
     32 C and 80% RH for
     both males and females.                              0,03
                                                                        High RH
•    Development time of
     females was significantly                            0,02

     shorter than that of                        develop
     males.                                      ment    0,01

                                                 rate
•    Immature      survivorship                  (day-1)
                                                              0
     was highest between 25-                                      15          20           25             30           35            40

     30 C and 80% RH and
     lowest at 35 C.                                      0,03
                                                                                                                         females

•    The greatest fecundity                                             Low RH
                                                                                                                            males
     (124 eggs per female)                                0,02
     occurred at 20ºC, 80%
     RH. The maximum rm -                                 0,01
     value was 0.086 d-1 at
     30 C and 80% RH, but                                     0
     the growth rate declined                                     15          20           25             30           35            40
                                                                                                     ºC
     dramatically at 35 C.

    L. Stengård Hansen et al. 2004 Journal of Economic Entomology
                                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Prostephanus truncatus
   Prostephanus truncatus serious
    pest of stored maize and dried
    cassava roots
   Quarantine pest affects
    international trade
   Maize losses after 6 months
    from 11% before the
    introduction of P. truncatus to
    more than 35% afterwards
   IITA had projects from 1990 till
    2003 (estimated more than 10
    mill $ were spent)
   Predator released for the
    control
   Impact of this effort was not
    evaluated

                                                                  Teretrius nigrescens                               G.Goergen
                      International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Augmented release
   Cassava chips stored for 5
    months in mud silos and 50
    adults of T. nigrescens added
   Chip weight and number of                                                             NoTn                PlusTn

    holes on chips differed
    between treatments from 2                                                                                                   50
                                                              50
    months of storage                                                                                              43                41
                                                              45
   After 3 months of storage,                                40
    losses reached 40 to 50%                                  35                                                        31
    without predator and 30 to


                                              Losses (Kg)
                                                              30                                       25
    40% with T. nigrescens.                                   25
   A farmer can increase his                                 20                           18               18

    profit by 1437 fcfa/100kg and                             15
                                                                               12
                                                                                                11
    losses are reduced by 11%                                 10                    7

   Twice as many P. truncatus                                  5     0 0

    and holes on chips in stores                                0
                                                                      0        1           2            3           4            5
    where T. nigrescens was not
    released                                                                             Month of storage
   Farmers were able to prolong
    storage period by 2 months.
                                                            Hell et al. 2006 Journal of Stored Products Research

                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Bruchid control
•   Twelve indigenous and exotic isolates of
    Beauveria bassiana and Metarhizium anisopliae
    were evaluated
•   Indigenous isolates from C. maculatus were
    more virulent in laboratory bioassays than
    exotic isolates from other insects.
•   B. bassiana 0362 at both 1x107 and 1x108
    conidia g-1 grain led to significant adult mortality
    and reduced F1 emergence relative to                                              Most serious pest of cowpea
    untreated                                                                         and beans in Africa
•   Effect of the fungus persisted into the F1
    generation. The net reproductive rates, R0,                                       The development of a single
    measured 26 days after insects were released                                      larva in a kernel can lead to
    were 5.16 and 7.32 for the high and low doses                                     weight losses of 8–22%
    compared to 9.52 for the untreated control.
•   No evidence that cadavers were sporulating in                                     Significant impact on
    stored grain need for persistence would depend                                    commercial value – price
    on initial inoculum                                                               reduced by 40%
           Cherry et al. 2005 Journal of Stored Products Research & Cherry et al. 2007 Annals of Applied Biology

                                     International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Adoption of Improved Mud Silo
   Impact of farmers’ socio-                                                                          210   Courbe de diffusion du grenier fermé en terre amélioré
    economic factors,                                                                                  200   Yt=199/(1+ e
                                                                                                                            -666,99691-0,33281*t
                                                                                                                                                   )
    technology characteristics                                                                         190
                                                                                                       180
    and farm specific factors,                                                                         170
    on the adoption of




                                                           Nombre de paysans ayant adopté le grenier
                                                                                                       160

    improved mud silo                                                                                  150
                                                                                                       140
                                                                                                       130
                                                                                                       120
   Farmers’ socio-economic                                                                            110
    factors such as the years                                                                          100
                                                                                                        90
    of farming experience,                                                                              80
    access to extension                                                                                 70

    service, were positively                                                                            60
                                                                                                        50
    correlated with adoption.                                                                           40
                                                                                                        30
                                                                                                        20
   Technology                                                                                          10

    characteristics like cost                   1984   1988    1992 1996   2000      2005  2010 2015 2020
                                                                                                         0

    affected adoption                                                     Année d'adoption
    negatively and perceived
    durability of the store
    affected adoption
                            Hell et al. 2008 Submitted to Int. Journal of Postharvest Technology & Innovation
    positively
                                    International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Adoption of cassava chipping equipment



          Variables                      β Coefficient               Standard Error                Probability
Gender                                         0.291                      0.769                    0.705*
Sale                                           -0.144                     0.673                    0.831
Education                                      -1.246                     0.827                    0.132
Processing experience                          -0.049                     0.028                    0.079*
Non-tuber incomes                              -1.945                     1.108                    0.079*
Contact                                        1.814                      0.748                    0.015**
Group Membership                               4.274                      0.886                    0.000***
Agro-Ecological zone                           -1.355                     0.648                    0.037**
Average Income                                 -1.221                     0.798                    0.126
Constant                                       0.439                      1.742                    0.801
Pourcentage de prédictions correctes : 89.6 % ; Constante = 0.46217 ; N=212
Ratio de maximum de vraisemblance = 69.218; Chi carré = 72.100***.
(***) : significatif à 1 % ; (**) : significatif à 5 %.




                  Allogni et al. 2008 Submitted to Bulletin de la Recherche Agronomique.


                            International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin R-4-D at IITA
 Aspergillus and Fusarium species diversity and
  mycotoxin profile in food baskets (USAID, BMZ, IFAR)
 Breeding for resistance (US-FAS)
 Biocontrol of aflatoxin (BMZ)
 Low-cost detection of mycotoxin
 Development and dissemination of mycotoxin
  management strategies (BMZ, ADA)
 Intervention study for the reduction of aflatoxin and
  impact on nutritional situation (BMZ)
 Awareness campaign (Rotary International)
 Training & information exchange (USAID, BMZ, EU)



                        International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Major classes of mycotoxins


• Aflatoxins: Aspergillus flavus, A. parasiticus
• Trichothecenes: Fusarium spp, Stachybotrys
• Fumonisins: F. verticillioides etc.
• Zearalenone: F. graminearum

• Ochratoxins: Penicillium verrucosum,
                 A. ochraceous



                    International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Prevalence of Aflatoxins in Food
•   Aflatoxins are toxic substances produced by highly prevalent
    Aspergillus fungi
•   High levels from Kenya, Benin, Burkina Faso, Cameroon, Gambia,
    Ghana, Guinea, Mozambique, Nigeria, Senegal, South Africa,
    Zambia…….
•   Frequency of occurrence high
     – >30% maize in stores with >20 ppb aflatoxin
     – ~90% stores are contaminated with Afla fungi
     – Up to 50% grain in households with aflatoxin
•   Several African staple commodities affected – maize, groundnut,
    cassava, sorghum, yam, rice, cashews
•   Environmental conditions, traditional farming methods and
    improper grain drying and storage practices


                          International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aflatoxin and Fumonisin in W. Africa

Primary products                              Food products
                                                            Maize beverage:
Maize: aflatoxin – 2-560 ppb
                                                                  • aflatoxin <2ppb
      fumonisin – 0-12 ppm
                                                                  • fumonisin <2ppm
Cassava chips: 0,3-13 ppb                                   Cassava flour: 0,3-4.4ppb
Cowpea: 0.9-18.6ppb
Cashew: 3.0-56 ppb
Egussi: 4.6-32 ppb
Dried vegetables – 3.2-6 ppb


                      International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aspergillus flavus prevalence in
            maize in Benin
Aspergillus flavus
prevalence                     160000

differs between                140000
                               120000
zone and season
                               100000


                         cfu
                                 80000                                                                                   AFT
High risk zone
                                 60000
has been                         40000
identified                       20000
                                          0
                                                     SS            NGS             SGS               CS
                                                                      Ecozones




                                                          Tedihoue et al. 2008 Submitted to Plant Disease


                     International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aflatoxin in maize in different
              agroecological zones in Benin
High and low risk
                          1600.0
zones have been
                          1400.0
identified
                          1200.0
                          1000.0
Results vary
                    ppb    800.0                                                                             Aflatoxines
between season             600.0
and years                  400.0
                           200.0
                                 0.0
                                              SS           NGS            SGS             CS
                                                            Ecozones


                                                         Tedihoue et al. 2008 Submitted to Plant Disease


                    International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin risk in different agroecological
                               zones in Africa


 High aflatoxin risk
  zones: moist
  savannas (with
  bimodal rainfall
  patterns) and hot dry
  savannas
 Fusarium toxin risk
  zones: humid forest
  and mid-altitudes
                                                 Drier savanna
 Aflatoxin                                      Moist savanna
                                                 Humid forest
  contamination                                  Moist midaltitude
                                                 Drier midaltitude
                                                 High altitude
  increase with storage
  time especially in
  drier savanna
                          International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Factors that influence mycotoxins

• Climatic (rain, relative humidity, temperature)
• Biotic (insects, damage, incomplete huskcover)
• Abiotic (stress, irrigation, rotation, variety, planting date,
  harvest, storage conditions)


    Trt                Aspergillus spp.                               Fusarium spp.
    Non-protected      3.95 0.82 a                                    36.05 3.38 a
    Protected          2.33 0.62 b                                    16.62 1.47 b
    P                  0.0067                                         <.0001




                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Climate Change and
                                                           Aflatoxin in Kenya


                                                          The 2004 Aflatoxin
                                                          outbreak.
  INCREASING RISK OF                                      Increasing aflatoxin
AFLATOXIN OUTBREAKS IN                                    in market maize in
MAKUENI AND MACHAKOS                                      brown. Blue circles
                                                          – aflatoxin deaths




                                                       Drought, high temperature stress
                                                       and unseasonal rains increase
                                                       aflatoxin in maize and groundnuts
                                                       >125 people died of aflatoxin
                                                       poisoning in 2004, a drought year
                                                       Increase in duration and area
                                                       under drought would further
                                                       accentuate aflatoxin problem
                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Associated insect species

•   Insects play a big role in the
    propagation and distribution of                      Correlation between mean number of insects and toxigenic
                                                         fungal species on maize
    the fungal spores
•   High correlation between certain                                             A. flavus           A. parasiticus F.verticillioides

    insect species and fungi                             Prostephanus                 0.36*                   0.12                 0.23
•   Pest pressure was low                                Sitophilus                  -0.21                    0.39*               -0.17
                                                         Cathartus                    0.32*                   0.18                -0.31*
•   To protect cobs from fungal                          Carpophilus                  0.21                    0.13                 0.08
    infestation a reduction of 40%                       Tribolium                    0.33*                   0.48**               0.08
                                                         Palorus                      0.23                    0.42**              -0.03
    aflatoxin                                            Cryptolestes                -0.08                    0.40**               0.09
•   Cobs with more than 10% of                           Gnathocerus                  0.23                    0.24                 0.04
    damage by insects had aflatoxin                      * Significant at P = 0.05 and ** P = 0.01
    contamination of 388 - 515 ppb
                                                                                           Hell et al. 2000 al., 2004
                                                                                                Hell et African Entomology

                                  International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Effect of maize variety, and cowpea intercropping
                on aflatoxin production during storage



Local variety                            1.0E+03

Gbogbe had                               8.0E+02
much lower toxin                                                                                                    AFB1
                       Aflatoxin (ppb)   6.0E+02                                                                    AFB2
levels than
TZSR-W                                   4.0E+02


                                         2.0E+02
No effect of
intercropping                            0.0E+00
with cowpea



                                                                                            0


                                                                                                       1
                                                    0

                                                            1




                                                                                                                P0

                                                                                                                          P1
                                                                     P0


                                                                                P1

                                                                                         LV


                                                                                                   LV
                                                   IV

                                                         IV




                                                                                                              C

                                                                                                                        C
                                                                   C


                                                                             C




                                                                                                           LV

                                                                                                                     LV
                                                                IV


                                                                           IV
                                                               Tedihoue et al. 2008 Manuscript in preparation


                          International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Beninese maize and F. verticilliodes infection

                             80                                                                                                                            80
                                                a           a                a                                     a          a
                                                                                               a                                        A
        Stem infection (%)


                                                                                                                                                                            Inoculation                                                                                                                                  B
                             60                                                                                                          b                 60               Control
                                    b                                                                                                                                                                                                                                                                              a
                                                                                                                                                                                a                             a          a                                             a
                                                                                                                                                                    ab                                                                   ab            ab                            ab              ab                     ab
                             40                                                                                                                            40                                   b

                                                                         *                 *            *              *            *                  *
                             20                       *                                                                                                    20
                                           *                                                                                                                                                                                                                                   **
                                                                                                                                                                       *            *               *              *                 *             *              *                                            *       *         *
                              0                                                                                                                            0
                                                                               Keb-EMY
                                                DMRY
                                     DMRW




                                                                                                                    QPM


                                                                                                                             TZESRW




                                                                                                                                                                                                                                                                                                                   TZESRW
                                                                                                                                                                                                                                                             HPG97
                                                                                                                                                                                                                              DTSR




                                                                                                                                                                                                                                                                                                                             TZPB-SR
                                                                                                                                            TZPB-SR
                                                                                                  N'gakoutou




                                                                                                                                                                                                DMRW

                                                                                                                                                                                                              DMRY
                                                                                                                                                                    ACR20

                                                                                                                                                                                ACR94




                                                                                                                                                                                                                                                                                         Keb-EMY

                                                                                                                                                                                                                                                                                                       QPM
                                                                                                                                                                                                                                            Gbogboue
                                                             Kamboinse




                                                                                                                                                                                                                                                                         Kamboinse
                             80
Kernels infection (%)




                                                                                                                                                            80
                                                                                                                                         C                                                                                                                                                                                   D
                             60
                                                                                                                                                            60
                                                                                                                                                                                         a
                             40                                                                                *                                                                                                                                                                                                             ab
                                                 *             *                       *                                                                                                                                                               ab             ab
                                                                                                                                                            40                                                       ab                                  a              ab ab                        ab ab
                                                                                                                                                                        ab                                                                ab                                                                                       bc ab
                                                                                                                                    *              *                                                                          abc                                                                      abc abc
                             20                                                                                                                                                 abc c b                                                     abc                                                                                   *     bc
                                                                                                                                                                                                              bc              *                                                            c              *            *
                                                                                                                                                            20                                  *                                                                                                                                          *
                                                                                                                                                                                                                                                                                                 *
                              0
                                                                                                                                         TZPB-SR
                                                                                                                           TZESRW
                                               DMRY




                                                                             Keb-EMY




                                                                                                                   QPM
                                    DMRW




                                                          Kamboinse




                                                                                               N'gakoutou




                                                                                                                                                                0




                                                                                                                                                                                                                                                                                                                             TZESRW
                                                                                                                                                                                                                                                                      HPG97
                                                                                                                                                                                                                                         DTSR




                                                                                                                                                                                                                                                                                                                                       TZPB-SR
                                                                                                                                                                                                       DMRW

                                                                                                                                                                                                                       DMRY
                                                                                                                                                                        ACR20

                                                                                                                                                                                        ACR94




                                                                                                                                                                                                                                                                                                     Keb-EMY

                                                                                                                                                                                                                                                                                                                   QPM
                                                                                                                                                                                                                                                       Gbogboue




                                                                                                                                                                                                                                                                                     Kamboinse
                                  A & C 2003                                                                                                                                                                      B & D 2004
                                                                                                                                        Dewaminou et al. 2008 submitted to Journal of Phytopathology
                                                                                                               International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aflatoxin Resistance in Maize Inbreds

                  1800
                                                    Field-03                            Field-04                                KSA
                  1600

                  1400

                  1200
Aflatoxin (ppb)




                  1000

                   800

                   600

                   400

                   200

                     0
                         TZMI102




                                                                                                                      TZMI502
                                                                                                TZM104
                                                  1368



                                                                         1823


                                                            Inbred Lines

                                   International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin Monitoring Tools

• Simple and low-cost diagnostic tool (ELISA)
• Polyclonal antibodies for aflatoxin
   – Low-cost (US$ 1-2 per sample analysis)
   – Simple procedure, qualitative and
     quantitative
   – Results comparable to HPLC
   – High throughput analysis possible
     (100-400 samples/day)
   – Less dependency on commercial
     equipment
   – Ideal test for aflatoxin estimation in
     developing countries
                     International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aflatoxin Tested Pet Food
                           in Nairobi




International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin Management
                          Strategies
• Awareness
• Host plant resistance
• Biological control
• Time of harvest
• Grain drying method
• Storage structure
• Storage form
• Sorting and processing
• Insect control

                       International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Insect control
• Cobs were protected with mosquito netting, natural or artificial infestation
   In protected cobs Pt levels were low rising to means of 1.8 under natural and
  14.2 under artificial infestation
  Aspergillus and Penicillium incidence was highest on Mussidia nigrivenella,
  Carpophilus sp., Prostephanus truncatus and Sitophilus sp. While Fusarium spp.
  was mainly associated with the field pests Eldana saccharina and Sesamia
  calamistis
  Low aflatoxin 0.21 0.16 ppb in T0, whereas insect infestation resulted in 22.74
  p 6.99 ppb aflatoxin in T1, and 27.37 7.83 ppb in T2.

 Treatment      A. flavus    A.                  Insect.            Grain               Fungal              Fungal             Total
                             parasiticus         damage             losses              damage              losses             aflatoxin
 Cobs             8.17±0.86a 0.22±0.14a          10.48±1.4a 4.68±1.03a 6.43±0.44a 0.92±0.24a 0.22±0.16a
 protected(T0)
 Natural         37.11±1.44b 0.11±0.00a          41.01±2.6b 19.65±1.9b 10.56±0.7a 1.57±0.69a 22.74±6.99b
 infestation(T1)
 Artificial      47.60±1.50c 0.33±0.14a          50.34±2.9c 27.47±2.4c 9.72±0.67a 1.12±0.49a 27.37±7.83b
 infestation(T2)
 p               0.0001      0.42                0.0001             0.0001              0.99                0.98               0.002

                                                                                Mihinto & Hell 2008 Manuscript in preparation
                                International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Aflatoxin management

Occurrence (%) of various toxigenic fungal species in maize grains after a 7-day
drying period using different drying methods


Drying method                                    Aspergillus              Fusarium             Penicillium              Others


Cobs on stalk in the field                       4.7ab1                   98.3a                1.7a                     5.3a


Sun drying cobs dried on the ground              21.0a                    95.3a                43.7a                    10.0a


Sun drying cobs dried on a platform              2.0b                     86.3b                4.7b                     2.7a


Sun drying cobs dried on a plastic sheets 18.3a                           33.3c                9.7b                     0.7a


1
Means within a column followed by the same letter do not differ significantly from each other (P < 0.05)

                                                                                  Hell et al. 2008 Mycotoxin Book

                                 International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin management
•   Four storage systems of maize commonly
    used by farmers in Benin, West Africa,
    were tested to determine their impact on
    infection of maize by Fusarium and
    fumonisins.
•   Fusarium incidence was significantly
    higher when maize was stored on a
    cemented floor in a house, a non
    ventilated facility (40.3 17.4%), than in
    the other tested systems (p < 0.05).
•   The lowest Fusarium incidence was
    recorded when maize was stored in a
    bamboo granary (25.5 13.5%) (p <
    0.05).
•   All maize samples from the tested storage
    systems were found to be fumonisin-
    positive, with levels ranging from 0.6 to
    2.4 mg/kg.

                                                            Fandohan et al. 2006 African Journal of Biotechnology

                            International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Mycotoxin management

Oils from Cymbopogon citratus,
Ocimum basilicum, and Ocimum
gratissimum were the most                                   1.6
effective in vitro, completely
inhibiting the growth of F.
Mean total fumonisin level (ug/g)




                                                            1.4
verticillioides at lower
concentrations over 21 days of
                                                            1.2
incubation
                                                            1.0
These oils reduced the incidence
of F. verticillioides in corn and                             .8
totally inhibited fungal growth at
                                                                                                                              Storage conditions
concentrations of 8, 6.4, and 4.8
                                                              .6
ųL/g, respectively, over 21 days.                                                                                                Clos ed

                                                              .4                                                                 Open
                                                                    C. citratus               O. gratis simum
Further studies are in progress to
                                                                                  O. bas ilicum            Control (no oil)
evaluate the toxicological effects
of these plant substances.                                                             Treatments


                                                           Fandohan et al. 2004 Journal of Agricultural and Food Chemistry

                                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Simple management practices during
                     processing
•   Sorting followed by winnowing of naturally                                        Infected                            Healthy
    contaminated maize grains resulted in a mean
    reduction of 59% and 69% in aflatoxin and
    fumonisin levels, respectively (Fandohan et al.,
    2005).
•   Similar losses of aflatoxins (37%) and
    fumonisins (51%) to wash water have been
    reported when maize was processed into
    derived products in Benin (Fandohan et al.,
    2008)
•   Small reductions in mycotoxin levels (18% for
    aflatoxins and 13% for fumonisins) also have
    been observed following lactic fermentation
    when preparing ogi (fermented maize dough)
    (Fandohan et al., 2005).
•   A reduction of mycotoxin levels was observed
    during the preparation of adoyo (86 % of
    aflatoxins and 65 % of fumonisins). (Fandohan
    in preparation)

                                International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Poverty reduction through a better
               post harvest management of maize




                                         aflatoxin levels in
                                                               100000
Maize sorting before




                                                ppb
                                                               50000
storage resulted in
an important                                                       0
                                                                        Maize sorted                  Maize no-sorted
reduction of aflatoxin
level from 45461.22                                                       experim ented technologies

ppb to 1811.775 ppb.                                                              Aflatoxin levels after six months


Calculated financial
losses were 40.75
FCFA for maize
sorted before
storage and 52.52
FCFA for non-sorted
maize.


                                                                                               Losses after six months
                         International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Atoxigenic Strain Identification
                                         Toxin assay                              -
                                                                                               Unknown


Strain characterization                                                                  cnx                            nia-D


                                                                                  VCG

Field                 Field release
                                                                                                           Unknown
Competition assays
                                                                                            cnx
                                                                                                                      nia-D

                Lab                                                               +
                          International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
How does Biocontrol Work?
                                                                          Soil
          Sporulation on wet soil
                                                                      colonization

   3-20
   days

                                                                                                                    Insects
                                                                                        Wind

                                                                       Spores




Broadcast                                  Inoculum on
@ 10kg/ha 20-30                        sorghum grain carrier
days after sowing           International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Steps in Aflatoxin Biocontrol R-4-D
•   Collection and identification of isolates
•   Characterisation of isolates
•   Identification of atoxigenic strains
•   Determination of genetic and molecular diversity in the
    atoxigenic strains
•   Ensuring biosafety of the atoxigenics
•   Developing methods for mass multiplication of
    inoculum for field application
•   Testing efficacy of atoxigenics in field trials
•   Sensitisation of growers, consumers and regulatory
    agencies about potential of biocontrol
•   Registration of the atoxigenic strains as biopesticides
•   Upscaling and outscaling to wider areas
                  International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Awareness campaign & capacity building


More than 10 million
people in Benin, Togo
and Ghana are now
aware of the dangers of
aflatoxin-contaminated
feed/foods.

Per year:
About 10 students
1 training course on
post-harvest pests and
diseases
Individual training

                    International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Africa Conference

13-16 Sept 2005
 Accra Ghana




 109 participants, 28 countries in Africa (15), Europe, Asia, North
  America and South America
 Participants: Scientists, parliamentarians, heads of institutions,
  policymakers, trade and health specialists


                     International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Impact of awareness campaign


Aflatoxin awareness amongst target groups before (Pre-C) and after (Post-C) awareness campaign in Benin, Ghana and Togo


                                                        Respondents aware of aflatoxin (%)

Awareness
                        Farmers                        Traders                        Consumers                     Poultry farmers
            †
indicator
                                    %                               %                                %                                %
                Pre-C   Post-C               Pre-C     Post-C                 Pre-C     Post-C                 Pre-C     Post-C
                                  change                          change                           change                           change

Informed        20.8     53.2     32.4***     26.7       56.9     30.2***      25.2      63.5     38.3***      60.0       60.9      0.9 ns


Believed        54.6     76.9     22.3***     58.5       78.1     19.6***      60.0      84.3     24.3***      83.0       91.2      8.2 **


Adopts          51.1     75.7     24.6***     55.4       91.8     36.3***      81.3      84.5       3.2 ns     48.9       68.8     19.9***



                                                                                 James et al. 2007 Food Additives & Contaminants


                                            International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Trade Losses due to Aflatoxins

• Export compliance with food safety                                              Maize
  and quality standards.
• Some countries active to meet                                                                                        Cocoa
  standards by putting in place relevant
  institutions
• Best quality exported; poorer quality
                                                                                                                       Coffee
  consumed domestically.
• Need to evaluate the economic impact
  of aflatoxin on health and trade, and the
  economic benefit the deployment of
  aflatoxin management can have.
                                                                                                             Peanut
                     International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Nutritional status of children aged 18-36 month
                                        in four agro-ecological Zones in Benin

                                                                                                                                Zone 1 (N=45)
                                                                                                                                Zone 2 (N=113)




                                          38.56
% of undernourished children




                                         37.01
                               45                                                                                               Zone 3 (N=76)




                                                                       32.18
                                      31.58
                                     30.13
                               40                                                                                               Zone 4 (N=88)




                                                                     28.12
                                                                     27.44
                                                                     27.6
                               35
                               30
                               25
                               20
                               15




                                                                                                            4.41
                                                                                                            3.93
                               10




                                                                                                              7
                                5




                                                                                                      0
                                0
                                        Stunting                    Underweight                          Wasting

                               Figure 1: Prevalence (%) of malnutrition by agro-ecological zone



                                     Honfo et al. to be submitted to International Journal of Food Safety, Nutrition and Public Health


                                                   International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Nutritional status of children aged 18-36 month
                             in four agro-ecological Zones in Benin



                                                                                                                   Zone 1(N=45)
             100




                                                                                            78.2
                                                                                                                   Zone 2 (N=113)




                                                                                          71.9
                                                                                         64.3
                       62.3




                                                      61.9
                       60.5

             80                                                                                                    Zone 3 (N=76)




                                                                                 55 .6
                     48 .9




                                                                52.5
                     51.3
Proportion




             60                                                                                                    Zone 4 (N=88)
                                             37 .8

                                                             36.8
             40
             20
              0
                       Energy                        Proteins                             Iron
              Figure 2: Proportion of children covering at least 100% of the nutritional
                                               needs
                                  Honfo et al. to be submitted to International Journal of Food Safety, Nutrition and Public Health


                                      International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
Summary


• Food supplies in Africa are precarious
• High losses of foods both in Quality
  (mycotoxins, chemical residues,
  hygiene) and in Quantity (mostly due
  to pest)
• Need for improved storage structures
  and methods to reduce these losses
  (up to 30%)
• Need improved access to markets
• Need improved processing and
  packaging methods to maintain quality

  It’s not possible that people go hungry
  and we have more than 30% of the
  children showing signs of malnutrition

                    International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
New research opportunities
• Quality in horticultural food chains (risk
  assessment, technology options)
• Scaling up and out of mycotoxin management
  using different partnership models
• Economic impact of mycotoxin management on
  improved health and income
• Study other mycotoxins eg. Fumonisin,
  OchratoxinA (diagnostic capacity has to be
  established)
• Mycotoxins and climate change
• Monitoring and testing of product quality at
  different steps in commodity chain using
  appropriate analytical tools (mycotoxins,
  pesticide residues, other microbes)
• Development of options for quality approaches &
  Market Access (Technologies, Methodologies,
  Training)
• Food/nutrition/health especially focusing on child
  health
                           International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

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Postharvest and Food Safety Management for Improved Health and Income

  • 1. Postharvest and Food Safety Management for Improved Health and Income Kerstin Hell International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 2. Outline  Introduction  Factors that influence post harvest quality  Research to address post harvest constraints - post harvest systems analysis - control of pests - diffusion and adoption of new technologies  Mycotoxin research  Future needs International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 3. Food Systems  Large Scale and Regulated – Developed countries – Trade based – Advanced infrastructure – Capital intensive  Small Scale and Unregulated – Developing countries – Informal markets – Subsistence – High food insecurity Tim Williams, Peanut CRSP International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 4. International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 5. Post harvest systems in Africa - constraints • Almost all operations are manual – leading to high losses and poor quality • Potential for rapid drying low – high moisture and increased fungal development • Storage structures open and often poorly ventilated - increased losses due to pest and diseases • Long holding periods in open stores – leading to theft, infection with pests and diseases • Poor to no access to storage insecticides • Poor marketing system - leading to increased losses and low prices low incentive for increased production International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 6. Evaluation of post harvest system • Development of post harvest insects and fungi in three different traditional storage structures in Benin • Vegetable material stores (VMS) • Mud silo store (MSS) • Polyethylene bag storage (PBS) • 4 sites in different agroecological zones, monitored monthly for 7 months • Serious levels of Sitophilus zeamais (highest in the south and in the VMS) and Prostephanus truncatus (high levels in the VMS and later in the season in the PBS) • Highest moisture content in the coastal zone decreasing towards the north (16,5% south to 9,9% north) • Most prevalent fungi were Fusarium spp. highest levels observed in Aplahoué (south), whereas Penicillium and Aspergillus spp. were found mostly in Ouessè (middle) Hell et al. 2008 submitted to Journal of Applied Entomology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 7. Effects of four temperatures (20, 25, 30 and 35 C) and two relative humidity levels (44 and 80% RH) on development time, survivorship, age-specific fecundity, sex ratio and intrinsic rate of natural increase (rm) of S. cerealella • Minimum development time occurred close to 32 C and 80% RH for both males and females. 0,03 High RH • Development time of females was significantly 0,02 shorter than that of develop males. ment 0,01 rate • Immature survivorship (day-1) 0 was highest between 25- 15 20 25 30 35 40 30 C and 80% RH and lowest at 35 C. 0,03 females • The greatest fecundity Low RH males (124 eggs per female) 0,02 occurred at 20ºC, 80% RH. The maximum rm - 0,01 value was 0.086 d-1 at 30 C and 80% RH, but 0 the growth rate declined 15 20 25 30 35 40 ºC dramatically at 35 C. L. Stengård Hansen et al. 2004 Journal of Economic Entomology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 8. Prostephanus truncatus  Prostephanus truncatus serious pest of stored maize and dried cassava roots  Quarantine pest affects international trade  Maize losses after 6 months from 11% before the introduction of P. truncatus to more than 35% afterwards  IITA had projects from 1990 till 2003 (estimated more than 10 mill $ were spent)  Predator released for the control  Impact of this effort was not evaluated Teretrius nigrescens G.Goergen International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 9. Augmented release  Cassava chips stored for 5 months in mud silos and 50 adults of T. nigrescens added  Chip weight and number of NoTn PlusTn holes on chips differed between treatments from 2 50 50 months of storage 43 41 45  After 3 months of storage, 40 losses reached 40 to 50% 35 31 without predator and 30 to Losses (Kg) 30 25 40% with T. nigrescens. 25  A farmer can increase his 20 18 18 profit by 1437 fcfa/100kg and 15 12 11 losses are reduced by 11% 10 7  Twice as many P. truncatus 5 0 0 and holes on chips in stores 0 0 1 2 3 4 5 where T. nigrescens was not released Month of storage  Farmers were able to prolong storage period by 2 months. Hell et al. 2006 Journal of Stored Products Research International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 10. Bruchid control • Twelve indigenous and exotic isolates of Beauveria bassiana and Metarhizium anisopliae were evaluated • Indigenous isolates from C. maculatus were more virulent in laboratory bioassays than exotic isolates from other insects. • B. bassiana 0362 at both 1x107 and 1x108 conidia g-1 grain led to significant adult mortality and reduced F1 emergence relative to Most serious pest of cowpea untreated and beans in Africa • Effect of the fungus persisted into the F1 generation. The net reproductive rates, R0, The development of a single measured 26 days after insects were released larva in a kernel can lead to were 5.16 and 7.32 for the high and low doses weight losses of 8–22% compared to 9.52 for the untreated control. • No evidence that cadavers were sporulating in Significant impact on stored grain need for persistence would depend commercial value – price on initial inoculum reduced by 40% Cherry et al. 2005 Journal of Stored Products Research & Cherry et al. 2007 Annals of Applied Biology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 11. Adoption of Improved Mud Silo  Impact of farmers’ socio- 210 Courbe de diffusion du grenier fermé en terre amélioré economic factors, 200 Yt=199/(1+ e -666,99691-0,33281*t ) technology characteristics 190 180 and farm specific factors, 170 on the adoption of Nombre de paysans ayant adopté le grenier 160 improved mud silo 150 140 130 120  Farmers’ socio-economic 110 factors such as the years 100 90 of farming experience, 80 access to extension 70 service, were positively 60 50 correlated with adoption. 40 30 20  Technology 10 characteristics like cost 1984 1988 1992 1996 2000 2005 2010 2015 2020 0 affected adoption Année d'adoption negatively and perceived durability of the store affected adoption Hell et al. 2008 Submitted to Int. Journal of Postharvest Technology & Innovation positively International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 12. Adoption of cassava chipping equipment Variables β Coefficient Standard Error Probability Gender 0.291 0.769 0.705* Sale -0.144 0.673 0.831 Education -1.246 0.827 0.132 Processing experience -0.049 0.028 0.079* Non-tuber incomes -1.945 1.108 0.079* Contact 1.814 0.748 0.015** Group Membership 4.274 0.886 0.000*** Agro-Ecological zone -1.355 0.648 0.037** Average Income -1.221 0.798 0.126 Constant 0.439 1.742 0.801 Pourcentage de prédictions correctes : 89.6 % ; Constante = 0.46217 ; N=212 Ratio de maximum de vraisemblance = 69.218; Chi carré = 72.100***. (***) : significatif à 1 % ; (**) : significatif à 5 %. Allogni et al. 2008 Submitted to Bulletin de la Recherche Agronomique. International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 13. Mycotoxin R-4-D at IITA  Aspergillus and Fusarium species diversity and mycotoxin profile in food baskets (USAID, BMZ, IFAR)  Breeding for resistance (US-FAS)  Biocontrol of aflatoxin (BMZ)  Low-cost detection of mycotoxin  Development and dissemination of mycotoxin management strategies (BMZ, ADA)  Intervention study for the reduction of aflatoxin and impact on nutritional situation (BMZ)  Awareness campaign (Rotary International)  Training & information exchange (USAID, BMZ, EU) International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 14. Major classes of mycotoxins • Aflatoxins: Aspergillus flavus, A. parasiticus • Trichothecenes: Fusarium spp, Stachybotrys • Fumonisins: F. verticillioides etc. • Zearalenone: F. graminearum • Ochratoxins: Penicillium verrucosum, A. ochraceous International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 15. Prevalence of Aflatoxins in Food • Aflatoxins are toxic substances produced by highly prevalent Aspergillus fungi • High levels from Kenya, Benin, Burkina Faso, Cameroon, Gambia, Ghana, Guinea, Mozambique, Nigeria, Senegal, South Africa, Zambia……. • Frequency of occurrence high – >30% maize in stores with >20 ppb aflatoxin – ~90% stores are contaminated with Afla fungi – Up to 50% grain in households with aflatoxin • Several African staple commodities affected – maize, groundnut, cassava, sorghum, yam, rice, cashews • Environmental conditions, traditional farming methods and improper grain drying and storage practices International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 16. Aflatoxin and Fumonisin in W. Africa Primary products Food products Maize beverage: Maize: aflatoxin – 2-560 ppb • aflatoxin <2ppb fumonisin – 0-12 ppm • fumonisin <2ppm Cassava chips: 0,3-13 ppb Cassava flour: 0,3-4.4ppb Cowpea: 0.9-18.6ppb Cashew: 3.0-56 ppb Egussi: 4.6-32 ppb Dried vegetables – 3.2-6 ppb International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 17. Aspergillus flavus prevalence in maize in Benin Aspergillus flavus prevalence 160000 differs between 140000 120000 zone and season 100000 cfu 80000 AFT High risk zone 60000 has been 40000 identified 20000 0 SS NGS SGS CS Ecozones Tedihoue et al. 2008 Submitted to Plant Disease International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 18. Aflatoxin in maize in different agroecological zones in Benin High and low risk 1600.0 zones have been 1400.0 identified 1200.0 1000.0 Results vary ppb 800.0 Aflatoxines between season 600.0 and years 400.0 200.0 0.0 SS NGS SGS CS Ecozones Tedihoue et al. 2008 Submitted to Plant Disease International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 19. Mycotoxin risk in different agroecological zones in Africa  High aflatoxin risk zones: moist savannas (with bimodal rainfall patterns) and hot dry savannas  Fusarium toxin risk zones: humid forest and mid-altitudes Drier savanna  Aflatoxin Moist savanna Humid forest contamination Moist midaltitude Drier midaltitude High altitude increase with storage time especially in drier savanna International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 20. Factors that influence mycotoxins • Climatic (rain, relative humidity, temperature) • Biotic (insects, damage, incomplete huskcover) • Abiotic (stress, irrigation, rotation, variety, planting date, harvest, storage conditions) Trt Aspergillus spp. Fusarium spp. Non-protected 3.95 0.82 a 36.05 3.38 a Protected 2.33 0.62 b 16.62 1.47 b P 0.0067 <.0001 International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 21. Climate Change and Aflatoxin in Kenya The 2004 Aflatoxin outbreak. INCREASING RISK OF Increasing aflatoxin AFLATOXIN OUTBREAKS IN in market maize in MAKUENI AND MACHAKOS brown. Blue circles – aflatoxin deaths Drought, high temperature stress and unseasonal rains increase aflatoxin in maize and groundnuts >125 people died of aflatoxin poisoning in 2004, a drought year Increase in duration and area under drought would further accentuate aflatoxin problem International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 22. Associated insect species • Insects play a big role in the propagation and distribution of Correlation between mean number of insects and toxigenic fungal species on maize the fungal spores • High correlation between certain A. flavus A. parasiticus F.verticillioides insect species and fungi Prostephanus 0.36* 0.12 0.23 • Pest pressure was low Sitophilus -0.21 0.39* -0.17 Cathartus 0.32* 0.18 -0.31* • To protect cobs from fungal Carpophilus 0.21 0.13 0.08 infestation a reduction of 40% Tribolium 0.33* 0.48** 0.08 Palorus 0.23 0.42** -0.03 aflatoxin Cryptolestes -0.08 0.40** 0.09 • Cobs with more than 10% of Gnathocerus 0.23 0.24 0.04 damage by insects had aflatoxin * Significant at P = 0.05 and ** P = 0.01 contamination of 388 - 515 ppb Hell et al. 2000 al., 2004 Hell et African Entomology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 23. Effect of maize variety, and cowpea intercropping on aflatoxin production during storage Local variety 1.0E+03 Gbogbe had 8.0E+02 much lower toxin AFB1 Aflatoxin (ppb) 6.0E+02 AFB2 levels than TZSR-W 4.0E+02 2.0E+02 No effect of intercropping 0.0E+00 with cowpea 0 1 0 1 P0 P1 P0 P1 LV LV IV IV C C C C LV LV IV IV Tedihoue et al. 2008 Manuscript in preparation International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 24. Beninese maize and F. verticilliodes infection 80 80 a a a a a a A Stem infection (%) Inoculation B 60 b 60 Control b a a a a a ab ab ab ab ab ab 40 40 b * * * * * * 20 * 20 * ** * * * * * * * * * * 0 0 Keb-EMY DMRY DMRW QPM TZESRW TZESRW HPG97 DTSR TZPB-SR TZPB-SR N'gakoutou DMRW DMRY ACR20 ACR94 Keb-EMY QPM Gbogboue Kamboinse Kamboinse 80 Kernels infection (%) 80 C D 60 60 a 40 * ab * * * ab ab 40 ab a ab ab ab ab ab ab bc ab * * abc abc abc 20 abc c b abc * bc bc * c * * 20 * * * 0 TZPB-SR TZESRW DMRY Keb-EMY QPM DMRW Kamboinse N'gakoutou 0 TZESRW HPG97 DTSR TZPB-SR DMRW DMRY ACR20 ACR94 Keb-EMY QPM Gbogboue Kamboinse A & C 2003 B & D 2004 Dewaminou et al. 2008 submitted to Journal of Phytopathology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 25. Aflatoxin Resistance in Maize Inbreds 1800 Field-03 Field-04 KSA 1600 1400 1200 Aflatoxin (ppb) 1000 800 600 400 200 0 TZMI102 TZMI502 TZM104 1368 1823 Inbred Lines International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 26. Mycotoxin Monitoring Tools • Simple and low-cost diagnostic tool (ELISA) • Polyclonal antibodies for aflatoxin – Low-cost (US$ 1-2 per sample analysis) – Simple procedure, qualitative and quantitative – Results comparable to HPLC – High throughput analysis possible (100-400 samples/day) – Less dependency on commercial equipment – Ideal test for aflatoxin estimation in developing countries International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 27. Aflatoxin Tested Pet Food in Nairobi International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 28. Mycotoxin Management Strategies • Awareness • Host plant resistance • Biological control • Time of harvest • Grain drying method • Storage structure • Storage form • Sorting and processing • Insect control International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 29. Insect control • Cobs were protected with mosquito netting, natural or artificial infestation In protected cobs Pt levels were low rising to means of 1.8 under natural and 14.2 under artificial infestation Aspergillus and Penicillium incidence was highest on Mussidia nigrivenella, Carpophilus sp., Prostephanus truncatus and Sitophilus sp. While Fusarium spp. was mainly associated with the field pests Eldana saccharina and Sesamia calamistis Low aflatoxin 0.21 0.16 ppb in T0, whereas insect infestation resulted in 22.74 p 6.99 ppb aflatoxin in T1, and 27.37 7.83 ppb in T2. Treatment A. flavus A. Insect. Grain Fungal Fungal Total parasiticus damage losses damage losses aflatoxin Cobs 8.17±0.86a 0.22±0.14a 10.48±1.4a 4.68±1.03a 6.43±0.44a 0.92±0.24a 0.22±0.16a protected(T0) Natural 37.11±1.44b 0.11±0.00a 41.01±2.6b 19.65±1.9b 10.56±0.7a 1.57±0.69a 22.74±6.99b infestation(T1) Artificial 47.60±1.50c 0.33±0.14a 50.34±2.9c 27.47±2.4c 9.72±0.67a 1.12±0.49a 27.37±7.83b infestation(T2) p 0.0001 0.42 0.0001 0.0001 0.99 0.98 0.002 Mihinto & Hell 2008 Manuscript in preparation International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 30. Aflatoxin management Occurrence (%) of various toxigenic fungal species in maize grains after a 7-day drying period using different drying methods Drying method Aspergillus Fusarium Penicillium Others Cobs on stalk in the field 4.7ab1 98.3a 1.7a 5.3a Sun drying cobs dried on the ground 21.0a 95.3a 43.7a 10.0a Sun drying cobs dried on a platform 2.0b 86.3b 4.7b 2.7a Sun drying cobs dried on a plastic sheets 18.3a 33.3c 9.7b 0.7a 1 Means within a column followed by the same letter do not differ significantly from each other (P < 0.05) Hell et al. 2008 Mycotoxin Book International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 31. Mycotoxin management • Four storage systems of maize commonly used by farmers in Benin, West Africa, were tested to determine their impact on infection of maize by Fusarium and fumonisins. • Fusarium incidence was significantly higher when maize was stored on a cemented floor in a house, a non ventilated facility (40.3 17.4%), than in the other tested systems (p < 0.05). • The lowest Fusarium incidence was recorded when maize was stored in a bamboo granary (25.5 13.5%) (p < 0.05). • All maize samples from the tested storage systems were found to be fumonisin- positive, with levels ranging from 0.6 to 2.4 mg/kg. Fandohan et al. 2006 African Journal of Biotechnology International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 32. Mycotoxin management Oils from Cymbopogon citratus, Ocimum basilicum, and Ocimum gratissimum were the most 1.6 effective in vitro, completely inhibiting the growth of F. Mean total fumonisin level (ug/g) 1.4 verticillioides at lower concentrations over 21 days of 1.2 incubation 1.0 These oils reduced the incidence of F. verticillioides in corn and .8 totally inhibited fungal growth at Storage conditions concentrations of 8, 6.4, and 4.8 .6 ųL/g, respectively, over 21 days. Clos ed .4 Open C. citratus O. gratis simum Further studies are in progress to O. bas ilicum Control (no oil) evaluate the toxicological effects of these plant substances. Treatments Fandohan et al. 2004 Journal of Agricultural and Food Chemistry International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 33. Simple management practices during processing • Sorting followed by winnowing of naturally Infected Healthy contaminated maize grains resulted in a mean reduction of 59% and 69% in aflatoxin and fumonisin levels, respectively (Fandohan et al., 2005). • Similar losses of aflatoxins (37%) and fumonisins (51%) to wash water have been reported when maize was processed into derived products in Benin (Fandohan et al., 2008) • Small reductions in mycotoxin levels (18% for aflatoxins and 13% for fumonisins) also have been observed following lactic fermentation when preparing ogi (fermented maize dough) (Fandohan et al., 2005). • A reduction of mycotoxin levels was observed during the preparation of adoyo (86 % of aflatoxins and 65 % of fumonisins). (Fandohan in preparation) International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 34. Poverty reduction through a better post harvest management of maize aflatoxin levels in 100000 Maize sorting before ppb 50000 storage resulted in an important 0 Maize sorted Maize no-sorted reduction of aflatoxin level from 45461.22 experim ented technologies ppb to 1811.775 ppb. Aflatoxin levels after six months Calculated financial losses were 40.75 FCFA for maize sorted before storage and 52.52 FCFA for non-sorted maize. Losses after six months International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 35. Atoxigenic Strain Identification Toxin assay - Unknown Strain characterization cnx nia-D VCG Field Field release Unknown Competition assays cnx nia-D Lab + International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 36. How does Biocontrol Work? Soil Sporulation on wet soil colonization 3-20 days Insects Wind Spores Broadcast Inoculum on @ 10kg/ha 20-30 sorghum grain carrier days after sowing International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 37. Steps in Aflatoxin Biocontrol R-4-D • Collection and identification of isolates • Characterisation of isolates • Identification of atoxigenic strains • Determination of genetic and molecular diversity in the atoxigenic strains • Ensuring biosafety of the atoxigenics • Developing methods for mass multiplication of inoculum for field application • Testing efficacy of atoxigenics in field trials • Sensitisation of growers, consumers and regulatory agencies about potential of biocontrol • Registration of the atoxigenic strains as biopesticides • Upscaling and outscaling to wider areas International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 38. Awareness campaign & capacity building More than 10 million people in Benin, Togo and Ghana are now aware of the dangers of aflatoxin-contaminated feed/foods. Per year: About 10 students 1 training course on post-harvest pests and diseases Individual training International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 39. Africa Conference 13-16 Sept 2005 Accra Ghana  109 participants, 28 countries in Africa (15), Europe, Asia, North America and South America  Participants: Scientists, parliamentarians, heads of institutions, policymakers, trade and health specialists International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 40. Impact of awareness campaign Aflatoxin awareness amongst target groups before (Pre-C) and after (Post-C) awareness campaign in Benin, Ghana and Togo Respondents aware of aflatoxin (%) Awareness Farmers Traders Consumers Poultry farmers † indicator % % % % Pre-C Post-C Pre-C Post-C Pre-C Post-C Pre-C Post-C change change change change Informed 20.8 53.2 32.4*** 26.7 56.9 30.2*** 25.2 63.5 38.3*** 60.0 60.9 0.9 ns Believed 54.6 76.9 22.3*** 58.5 78.1 19.6*** 60.0 84.3 24.3*** 83.0 91.2 8.2 ** Adopts 51.1 75.7 24.6*** 55.4 91.8 36.3*** 81.3 84.5 3.2 ns 48.9 68.8 19.9*** James et al. 2007 Food Additives & Contaminants International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 41. Trade Losses due to Aflatoxins • Export compliance with food safety Maize and quality standards. • Some countries active to meet Cocoa standards by putting in place relevant institutions • Best quality exported; poorer quality Coffee consumed domestically. • Need to evaluate the economic impact of aflatoxin on health and trade, and the economic benefit the deployment of aflatoxin management can have. Peanut International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 42. Nutritional status of children aged 18-36 month in four agro-ecological Zones in Benin Zone 1 (N=45) Zone 2 (N=113) 38.56 % of undernourished children 37.01 45 Zone 3 (N=76) 32.18 31.58 30.13 40 Zone 4 (N=88) 28.12 27.44 27.6 35 30 25 20 15 4.41 3.93 10 7 5 0 0 Stunting Underweight Wasting Figure 1: Prevalence (%) of malnutrition by agro-ecological zone Honfo et al. to be submitted to International Journal of Food Safety, Nutrition and Public Health International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 43. Nutritional status of children aged 18-36 month in four agro-ecological Zones in Benin Zone 1(N=45) 100 78.2 Zone 2 (N=113) 71.9 64.3 62.3 61.9 60.5 80 Zone 3 (N=76) 55 .6 48 .9 52.5 51.3 Proportion 60 Zone 4 (N=88) 37 .8 36.8 40 20 0 Energy Proteins Iron Figure 2: Proportion of children covering at least 100% of the nutritional needs Honfo et al. to be submitted to International Journal of Food Safety, Nutrition and Public Health International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 44. Summary • Food supplies in Africa are precarious • High losses of foods both in Quality (mycotoxins, chemical residues, hygiene) and in Quantity (mostly due to pest) • Need for improved storage structures and methods to reduce these losses (up to 30%) • Need improved access to markets • Need improved processing and packaging methods to maintain quality It’s not possible that people go hungry and we have more than 30% of the children showing signs of malnutrition International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org
  • 45. New research opportunities • Quality in horticultural food chains (risk assessment, technology options) • Scaling up and out of mycotoxin management using different partnership models • Economic impact of mycotoxin management on improved health and income • Study other mycotoxins eg. Fumonisin, OchratoxinA (diagnostic capacity has to be established) • Mycotoxins and climate change • Monitoring and testing of product quality at different steps in commodity chain using appropriate analytical tools (mycotoxins, pesticide residues, other microbes) • Development of options for quality approaches & Market Access (Technologies, Methodologies, Training) • Food/nutrition/health especially focusing on child health International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org