prevalence of aflatoxin along the maize value chain in kenya
TRANSCRIPT
Prevalence of aflatoxin along the maize
value chain in Kenya.
George Mahuku (CIMMYT) & Henry
(H. Sila) Nzioki (KARI)
Mycotoxin producing fungi
• Weak parasite
• Very susceptible
to ecological
conditions
• Optimum
conditions differ
for growth &
toxin production
• Mycotoxins
production
elicited by stress
AF
A. Flavus
FB
F. verticillioides
DON
F. graminierum
Temp 25° 35° 30°
aw 0.98 0.78 0.96
Mycotoxins in Maize and effect on
human health
Fungus Mycotoxin International
limits (vary)
Health Effects
Aspergillus
flavus and A.
parasiticus
Aflatoxin B1 (0 – 50 ppb)
Kenya (10 ppb)
Carcinogen, affecting the liver,
reduced efficiency of the
immunological system, retards
growth and development of
children
Fusarium
verticillioides
Fumonisin B1 4 ppb Asociated with esophageal cancer,
and neural tube defects leading to
abortion
Fusarium
graminearum
Zearalenone Not established Properties of estrogen hormones
F.
graminearum
Deoxynivalenol 1 ppm Reduced efficiency of the
immune system
Penicillium
verrucosum
Ochratoxin A Not established Chronical renal diseases
Variation in acceptable aflatoxin levels
Aflatoxin
• are naturally occurring mycotoxins
produced by the fungi Aspergillus
flavus and A. parasiticus.
• not all A. flavus strains are toxigenic
• grow on maize, peanuts ,wheat, beans
and rice.
• are a problem particularly in warm and
humid, tropical countries.
• drought conditions are ideal for growth
and proliferation of fungi.
Aflatoxin affected major crops
• Cereals: Maize, Sorghum, Pearl millet
• Oil seeds: Groundnuts, Soybean, Sunflower
• Spices: Chillies, Black pepper, Turmeric
• Tree nuts: Pistachio, Almonds, coconut
Aspergillus and aflatoxin
• Aspergillus flavus – opportunistic pathogen
• Superior adaptability
– Survives in a wide range of environments: soil, plant debris, dead insects
and seeds
• Fungus does not need a live host to survive
• Complex environmental and ecological factors affect A. flavus
infection and aflatoxin contamination.
• Aflatoxin contamination is:
– unavoidable under the present production, processing and storage of
crops & commodities.
• Infection and aflatoxin contamination can occur at pre-harvest,
harvest, post-harvest, process, storages, transit stages
Factors affecting Aflatoxin contamination
of Maize
Distribution Detection/diversion
Animal Products
Humans Animals
Processing &
Storage -Structure;
-Moisture; -Temperature
Harvesting - Crop maturity
- Temperature
- Moisture
-Handling
Environmental Factors
-Temperature
- Moisture availability
- Mechanical injury
-Insect/ bird damage
Biological Factors
-Susceptible crop
- Compatible toxigenic fungi
Aflatoxin in the Food Chain
FEED
Response to different concentrations of aflatoxin
Increasing concentration of aflatoxin
zero
Objectives
• Understand the incidence and prevalence of aflatoxin
along the maize value chain in selected study areas.
• Identify critical points where intervention
technologies are mostly likely to be more effective
Maize Sampling Sites
• Lower Eastern – Machakos County: Machakos, Kathiani Kangundo and
Matungulu Districts
– Makueni County: Mbooni East and Makueni Districts
• Upper Eastern – Embu County: Mbeere North, Embu North and Embu
West Districts
• South Western Kenya – Homabay County: Homabay and Rongo Districts
– Kisii County: Kisii Central District
Methodology
• Along identified critical points along the market
chains, samples were collected:
• Pre-harvest – physiological maturity while in the field
• Harvest, handling and processing for storage
• Storage by farmers (30 day interval)
• Markets (30 day interval)
• Assemblers
• Wholesalers
• Retailers
• Consumers of products
Information / Data collected
• Farmer / Actor name
• GPS coordinates
• Maize variety
• Source of maize
• Moisture content
• I kg maize sample for analysis (following a standard protocol: Aflacontrol website)
Maize samples collected from farmer
fields (pre-harvest)
Year
Region 2009 2010 2011 Total
Lower Eastern (LE) 30 167 143 340
Upper Eastern (UE) 10 41 40 91
South Western (Homabay/Rongo [HR})
- 153 99 252
South Western (Kisii
Central [KC]) - 78 41 119
Total 40 439 323 802
Maize samples collected from farmer
stores (post-harvest / storage)
Year
Region 2009 2010 2011 Total
Lower Eastern 87 276 156 519
Upper Eastern 59 253 44 356
South Western (Homabay/Rongo)
- 368 101 469
South Western (Kisii Central) 30 214 39 283
Total 176 1111 340 1627
Maize samples collected from
markets
Year
District 2009 2010 2011 Total
Lower Eastern 152 535 219 906
Upper Eastern 126 232 38 396
South Western (Homabay/Rongo)
- 345 92 437
South Western (Kisii
Central) 52 154 40 246
Total 330 1266 389 1985
Total Samples analyzed = 4,414
Maize samples from farmer fields & Stores with aflatoxin levels above and below 10ppb (2009)
Farmer Fields Farmer Stores
0
20
40
60
80
100
120
UE(N=10)
LE(N=30)
UE(N=58)
LE (N=87)
KC(N=30)
#Samples <10 (μg/kg)
% Samples >10 (μg/kg)
Region Range (μg/kg) STDev
FF
Upper Eastern (UE) 0 - 9091.8 2874.9
Lower Eastern (LE) 0 - 273.8 68.9
FS
Upper Eastern (UE) 0 - 27393.7 4188
Lower Eastern (LE) 0 - 3180.7 422
Kisii Central (KC) 0 - 5.4 1.6
Maize samples from market with aflatoxin levels above and below 10ppb (2009)
0
10
20
30
40
50
60
KC (N=52) LE (N=152) UE (N=126)
% Samples <10 (μg/kg)
% Samples >10 (μg/kg)
Region Range (μg/kg) STDev
Upper Eastern (UE) 0 - 12000 2160
Lower Eastern (LE) 0 - 9302 166.4
Kisii Central (KC) 0 – 3442.2 2160
Proportion of Maize samples from the farmer stores with aflatoxin levels
above 10 ppb (2009)
0
10
20
30
40
50
60
70
80
90
Makueni Embu MbeereNorth
Kisii
1 month PH
2 months PH
3 months PH
Proportion of Maize samples from the market with aflatoxin levels above 10 ppb (2009)
0
10
20
30
40
50
60
70
80
90
100
Makueni Embu MbeereNorth
Kisii
1 month PH
2 months PH
3 months PH
Maize samples from farmer fields & Stores with aflatoxin levels above and below 10ppb (2010)
0
10
20
30
40
50
60
70
80
90% Samples <10 (μg/kg)
% Samples >10 (μg/kg)
Region Range (μg/kg) STDev
FF
Upper Eastern (UE) 0 - 252 52.7
Lower Eastern (LE) 0 – 1454.8 139.1
Hbay/Rongo (HB) 0 – 722.2 66
Kisii Central (KC) 0 – 558.7 77.5
Upper Eastern (UE) 0 – 22641.7 253.5
FS
Lower Eastern (LE) 0 – 1978.3 234.5
Hbay/Rongo (HB) 0 – 1511.2 123.6
Kisii Central (KC) 0 – 611.8 77.2
Farmer Fields Farmer Stores
Maize samples from the first and second seasons with aflatoxin levels above 10ppb
(2010)
0
5
10
15
20
25
30
35
40
45
50
Lower Eastern(N=149)
Upper Eastern(N=41)
Hbay/Rongo(N=153)
Kisii Central(N=79)
October-November
March - May
Proportion of samples collected from
farmer stores with aflatoxin levels above
10 μg/kg (2010)
July - August harvest February – March harvest
0
10
20
30
40
50
60
70
80
1 month 2 months 3 months
KisiiCentral
Homabay / Rongo
Lower Eastern
Upper Eastern
0
10
20
30
40
50
60
70
80
1 month 2 months
Maize samples from markets with aflatoxin levels above and below 10ppb, (2010)
0
10
20
30
40
50
60
70
80
90
LowerEastern(N=535)
UpperEastern(N=232)
Hbay/Rongo(N=345)
Kisii Central(N=154)
% Samples <10 (μg/kg)
% Samples >10 (μg/kg)
Region Range (μg/kg) STDev
Upper Eastern (UE) 0 – 1632.9 184.7
Lower Eastern (LE) 0 – 2076.7 188.4
Hbay/Rongo (HB) 0 – 379.5 42
Kisii Central (KC) 0 – 1308.8 148.9
Maize samples from farmer fields & Stores with aflatoxin levels above and below 10ppb (Jan – May
2011)
Farmer Fields Farmer Stores
Region Range (μg/kg) STDev
FF
Upper Eastern (UE) 0 – 581.5 94.4
Lower Eastern (LE) 0 – 354.6 49.8
Hbay/Rongo (HB) 0 – 20.2 3.6
Kisii Central (KC) 0 – 63.1 9.8
Upper Eastern (UE) 0 – 248.5 49.1
FS
Lower Eastern (LE) 0 – 685.6 92.9
Hbay/Rongo (HB) 0 – 41.6 5.6
Kisii Central (KC) 0 – 357.2 57
0
20
40
60
80
100
120% samples < 10ppb
% samples >10 ppb
Maize samples from markets with aflatoxin levels above and below 10ppb, (Jan – May, 2011)
Region Range (μg/kg) STDev
Upper Eastern (UE) 0 – 1679.6 286.2
Lower Eastern (LE) 0 – 3568.3 335.9
Hbay/Rongo (HB) 0 – 36.8 5.9
Kisii Central (KC) 0 – 60.7 9.7
0
10
20
30
40
50
60
70
80
90
100
H/R (N=92) KC (N=40) LE (N=219) UE (N=38)
% samples < 10ppb
% samples >10 ppb
Conclusion
• Occurrence of aflatoxins in maize is a complex series of interaction between G x E x Pathogen x Farmers practices. This complexity poses difficulties in achieving control.
• We did not find differences in aflatoxin levels among varieties / hybrids grown by farmers.
• Contamination starts from the field
– Need to factor in environmental conditions
• Aflatoxin is not homogeneously distributed in contaminated lots. Sampling poses a major challenge, hence the fluctuations between sampling times.
• Aflatoxin contaminated maize samples were found from both South western and Eastern Kenya regions
• This is the first systematic study looking at aflatoxin contamination along the maize value chain
Acknowledgements
• Partners: Ministry of Agriculture extension
staff, Farmers, Traders, KARI – Katumani
staff: Centre Director, crop protection and
support staff
• ICRISAT for aflatoxin analysis
• ACDI/VOCA
• Financial support
– Bill and Melinda Gates Foundation