This document discusses the use of biocontrol to manage aflatoxin contamination in crops in West and East Africa. It presents results from multiple field trials showing that applying atoxigenic strains of Aspergillus significantly reduces aflatoxin levels in maize and groundnuts at harvest and after storage compared to untreated controls. The biocontrol works by competitively excluding toxigenic strains, resulting in shifts in the Aspergillus population to predominately consist of the applied atoxigenic strains. No increases in total Aspergillus levels or infection were observed due to the biocontrol treatment. The approach provides an effective and sustainable solution to reducing the dangerous health impacts of aflatoxin contamination in crops in Africa
Management of aflatoxin contamination in groundnut – ICRISAT ApproachFrancois Stepman
H Desmae
ICRISAT-WCA, Bamako, Mali
January, 2016
Roundtable of aflatoxin experts on
“Building a multi-stakeholder approach to mitigate aflatoxin contamination of food and feed”
Brussels, Monday 25th January 2016
Biological nitrification inhibition (BNI) in plants: Implications for nitroge...ExternalEvents
Biological nitrification inhibition (BNI) in plants: Implications for nitrogen-use efficiency and nitrous oxide emissions from agricultural systems presentation by Guntur Venkata Subbarao, Japan International Research Center for Agricultural Sciences, Tsukuba, Japan
Presentation by Dr IDK Atokple, CSIR Savannah Agricultural Research Institute, Tamale, Ghana
Delivered at the B4FA Media Dialogue Workshop, Accra, Ghana - September 2012
www.b4fa.org
Biophysical constraints in the West African Savannas,Research to provide technological solutions to the
constraints,Highlights of some impacts on beneficiaries of research activities,Emerging issues to address in the future
"Aflasafe: a case study for aflatoxin reduction in crops "ExternalEvents
"Aflasafe: a case study for aflatoxin reduction in crops" presentation by "Ranajit Bandyopadhyay, International Institute of Tropical Agriculture, Ibadan, Nigeria"
Management of aflatoxin contamination in groundnut – ICRISAT ApproachFrancois Stepman
H Desmae
ICRISAT-WCA, Bamako, Mali
January, 2016
Roundtable of aflatoxin experts on
“Building a multi-stakeholder approach to mitigate aflatoxin contamination of food and feed”
Brussels, Monday 25th January 2016
Biological nitrification inhibition (BNI) in plants: Implications for nitroge...ExternalEvents
Biological nitrification inhibition (BNI) in plants: Implications for nitrogen-use efficiency and nitrous oxide emissions from agricultural systems presentation by Guntur Venkata Subbarao, Japan International Research Center for Agricultural Sciences, Tsukuba, Japan
Presentation by Dr IDK Atokple, CSIR Savannah Agricultural Research Institute, Tamale, Ghana
Delivered at the B4FA Media Dialogue Workshop, Accra, Ghana - September 2012
www.b4fa.org
Biophysical constraints in the West African Savannas,Research to provide technological solutions to the
constraints,Highlights of some impacts on beneficiaries of research activities,Emerging issues to address in the future
"Aflasafe: a case study for aflatoxin reduction in crops "ExternalEvents
"Aflasafe: a case study for aflatoxin reduction in crops" presentation by "Ranajit Bandyopadhyay, International Institute of Tropical Agriculture, Ibadan, Nigeria"
Presented by Fen Beed (IITA), Adebayo Abass, Martin Kimanya, Omari Mponda, Happy Daudi, Gabriel Ndunguru, Grace Michael, Emmanuel Koyano, Chacha Nyangi and Simon Boniface at the Africa RISING ESA Review and Planning Meeting, Arusha, Tanzania, 9-11 September 2014
Aflasafe Techological Innovation - Aflasafe Products and Succes Stories .pdftitilayofalade
A case study presenting Aflasafe as a Technological Innovation of the International Institute of Tropical Agriculture and partners. The presentation was made to MBA students of the Rome Business School.
Indirect selection for resistance to Alectra vogelii (benth) infestation in c...IJEAB
Alectra vogelii (benth) is a parasitic weed which causes significant yield reductions in cowpeas (VignaunguiculataWalp) in most of the sub-Saharan African countries. The objective of this study was to establish the effect of Alectra vogelii infestation on yield components of cowpea and the prospects of utilizing these components for indirect select to A. vogelii in resistance breeding. Seven genotypes of cowpea were crossed in all possible combinations without reciprocals and their 21 F2 progeny including parents were evaluated for reaction to Alectra vogelii infection at two locations, Ilonga and Hombolo. The experiments were laid using a Randomized Complete Block Design with three replications. Significant (P < 0.001) genotypic responses to Alectra emergency and infestation were found. A significance negative correlation was found between the Alectra emergency and infestation to yield and yield components (P< 0.01 and P< 0.001). However, both yield components (Number of pods per plant and 100 seed weight) tested exhibited a weak r2 value (< 0.25) implying that these components can only be used to supplement and not as a substitute to direct selection in breeding for resistance to A. vogelii.
Presented by George Mahuku (International Institute of Tropical Agriculture) at the Africa RISING - NAFAKA Scaling Project End-of-project phase Review Meeting, Dar es Salaam, Tanzania, 3-4 July 2017
Establishment of an in vitro propagation and transformation system of Balani...PGS
This lecture was a part of Plant Genetics Seminars - PGS 2017/2018 at Assiut University. These seminars organized by Dr. Ahmed Sallam, Department of Genetics, Faculty of Agriculture, Assiut University
Abstract
Balanites aegyptiaca is a drought-tolerant but salt-sensitive tree species distributed in the tropical and arid lands in Africa and Asia; the seeds were used in biodiesel production. This study aimed to establish an in vitro propagation system of two B. aegyptiaca provenances from nodal and cotyledon explants. The explants were placed on Murashige and Skoog medium supplemented with different concentrations of 6-benzyladenine (BA) and thidiazuron (TDZ) for shoot induction. BA was significantly more effective in shoot induction from nodal explants. Three different Agrobacterium tumefaciens strains (EHA105, GV3101, and LBA4404) harboring the plasmid pCAMBIA2301 containing the nptII marker and gus reporter genes were used to establish a transformation system in B. aegyptiaca. Strain GV3101 resulted in the highest survival rates and highest number of explants positive in the GUS assay. This selected A. tumefaciens strain was used to introduce pBinAR containing the sequence encoding ERD10 (early responsive to dehydration 10) to produce salt-tolerant B. aegyptiaca plants.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Effective aflatoxin management in farmers' fields in West and East Africa
1. www.iita.orgA member of CGIAR consortium
Effective Aflatoxin
Management in
Farmers' Fields in
West and East
Africa
IITA: Bandyopadhyay, Atehnkeng, Mutegi
USDA-ARS / Univ of Arizona: Cotty,
Jaime-Garcia, Callicot, Probst
Senegal: Senghor; Burkina: Bonkoungou
Annual Meeting of the American Phytopathological Society
Minneapolis, 9-13 August, 2014
2. • Highly toxic metabolite
produced by the ubiquitous
Aspergillus flavus fungus
• The fungus resides in soil and
crop debris, infects crops and
produces the toxin in the field
and in stores
• Death, liver cancer, immune-
suppression, stunted growth
• Impacts animal productivity
• Negatively impacts trade
• Fungus carried
from field to store
• Contamination
possible without
visible signs of the
fungus
Aflatoxin Facts
3. www.iita.orgA member of CGIAR consortium
Pre-Harvest Problem
Aflatoxin
(ppb)ppb)
Peanut (n = 188) Maize (n = 241)
Distribution (% samples)
> 4 54 70
> 10 41 52
> 20 29 24
Descriptive statistics (ppb)
Minimum < LOD < LOD
Maximum 3487 838
Mean 111 33
LOD = Limit of Detection; 1 ppb
Aflatoxin in Groundnut and Maize at Harvest
Increases in store
4. www.iita.orgA member of CGIAR consortium
EPA approved 2 products
AF36
Afla-guard
Hundreds
of
Thhosands
of acres
treated
annually
in the US!
Production Room
Atoxigenic Strain Manufacturing Facility
Arizona Cotton Research & Protection Council
(Funded and Governed by the Farmers of Arizona),
Phoenix, Arizona
It Works in
Africa Too
Biocontrol Works!
5. www.iita.org
• IITA
• USDA
• AATF
• BMGF/USAID
• Doreo Partners
• National institutions
Strong Partnership
www.iita.orgA member of CGIAR consortium
6. www.iita.orgA member of CGIAR consortium
Biocontrol Principles
In nature, some strains produce a lot
(toxigenic), and others no aflatoxin
(atoxigenic) (Donner, Soil Biol Biochem
2009)
Atoxigenic strains are already present on
the crop (Atehnkeng et al., IJFM, 2008)
Increase the frequency of atoxigenic
strains to competitively displace
toxigenic strains (Cotty & Bayman,
Phytopath 1993) to reduce aflatoxin
contamination .
Atoxigenic strains can be applied without
increasing infection and without
increasing the overall quantity of A. flavus
on the crop or in the environment (Cotty,
Phytopath 1994; Atehnkeng et al., Biological
Control 2014)
0
1
2
3
4
5
6
7
8
9
0 20 40 60 80 100
AflatoxinB1(ng/gX10,000)
Isolates (%) in Applied Atoxigenic Strain
Strains move from
field to stores
Multiple year & crop
carry-over effect
(Jaime & Cotty,
Phytopath 2006)
We use only native
strains
7. www.iita.orgA member of CGIAR consortium
Strain Selection Criteria
In the laboratory (~5,000 strains):
• Does not produce aflatoxin
• VCG/SSR group with
Wide geographic distribution
No toxigenic member
• Defective in >2 aflatoxin & CPA
genes
• Outcompetes toxigenic strains
After field application:
• Superior capacity to colonize,
multiply and survive in soil
• Superior frequency of isolation
from grains
• Superior capacity to reduce
aflatoxin
8-12 native strains
selected for field tests
4 native strains
formulated into
the final
product
8. Broadcast
@ 10 kg/ha 2-3 weeks
before flowering
Sporulation on moist soil
Spores
Insects
Aflasafe in 5 kg boxes
3-20
days
Wind
Soil
colonization
30-33 grains m-2
Fungal network
in killed grain
How Does aflasafe Work?
9. www.iita.orgA member of CGIAR consortium
Efficacy Trials: Data Collection
• All trials conducted in farmers’
fields on crops grown by farmers
• Aflasafe applied by farmers
• Soil sampled before treatment
and grains at harvest:
– Aspergillus population density
– Aspergillus strain profile
– Incidence of aflasafe strains
• Aflatoxin concentration in grains
at harvest and after poor storage
10. www.iita.orgA member of CGIAR consortium
Design & Analysis of Trials
• Field trial size: 0.25 to 15 ha
• Number of fields: 14 to 200
per year
• Paired plot: Each treated
field with its own
companion control field in
close vicinity
• Each farmers’ field
considered as a replicate
• Student’s t-test to compare
treatment effects
11. www.iita.orgA member of CGIAR consortium
Nigeria: Efficacy on Maize
372
0
20
40
60
80
100
120
2009 2010 2011 2012
Aflasafe™
Control
0
100
200
300
400
500
600
2009 2010 2011 2012
82 94 83 86 82 93 89 90
51 14 199 38 51 14 166 38Fields (#)
Less (%)
At Harvest After Storage
*All means of aflasafe and control pairs significantly different; Student’s t-test (P<0.05)
*
Aflatoxin(ppb)
12. www.iita.orgA member of CGIAR consortium
Crop Sample Treatment Fields
AF
mean
(ppb)*
Red
uction
(%)
Groun
dnut
Harvest
Treated 51 3.7
92
Control 51 44.0
Storage
Treated 49 15.0
86
Control 49 101.0
Maize
Harvest
Treated 17 1.7
82
Control 17 9.1
Storage
Treated 17 50.3
84
Control 17 319.0
*All means of aflasafe treated and control pairs
significantly different; Student’s t-test (P<0.05)
Efficacy trial sites
Crop sampling sites
Burkina: Efficacy of aflasafe BF01
2012
13. www.iita.orgA member of CGIAR consortium
Area Sample Treatment
Mean
Aflatox
(ppb)
Reduct.
(%)
Mean
Aflatox
(ppb)
Reduct.
(%)
Mean
Aflatox
(ppb)
Reduct.
(%)
Diourbel
Harvest
Treated 1.9
93
6.6
87
3.7
82
Control 29.7 50.1 20.3
Storage
Treated 4.4
86
2.1
91
6.9
81
Control 31.3 22.1 35.5
Nioro
Harvest
Treated 4.4
75
5.6
76
5.4
90
Control 17.6 23.1 55.7
Storage
Treated 3.5
95
2.8
94
11.5
84
Control 52.1 46.7 72.5
*All means of aflasafe treated and control pairs significantly different; Student’s t-test (P<0.05)
Senegal: Efficacy of aflasafe SN01
2010 (n=40) 2011 (n=34) 2012 (n=71)
14. www.iita.orgA member of CGIAR consortium
Basis of efficacy: species shift
Treatment
(n = 14)
Aspergillus species/strain distribution (%) – MAIZE/NIGERIA
Soil before inoculation Grain at harvest
L SBG parasiticus L SBG parasiticus
Aflasafe™ 90 aB 7 aA 3 aA 100 aB 0 bA 0 aA
Control 78 aB 15 aA 7 aA 83 bB 16 aA 0.3 aA
Means within the column with different lowercase letters are significantly different according to the t-
test at 5% level of probability. Means within the row with different uppercase letters are significantly
different according to the Fisher’s LSD test at 5% level of probability
Region Treatment
Aspergillus Colony Forming Units/g – G-nut/Senegal
2010 (n = 20) 2011 (n = 17)
Soil Kernel Soil Kernel
Diourbel
Control 2311 a 2912 a 474 a 3257 a
Aflasafe SN01 1793 a 3598 a 795 a 3965 a
Nioro
Control 228 a 3367 a 369 a 3572 a
Aflasafe SN01 120 a 3189 a 470 a 4275 a
*All means of aflasafe and control pairs significantly different; Student’s t-test (P<0.05)
Aspergillus population does not increase due to aflasafe application
No change in Aspergillus Pop.
15. www.iita.orgA member of CGIAR consortium
Bars with same letter within the same
crop/year not significantly different (P<0.05)
Basis of Efficacy: Strain Shift
0
10
20
30
40
50
60
70
80
90
Soil Grain Soil Grain
2009 (n = 49) 2010 (n = 14)
Control Treated
0
10
20
30
40
50
60
70
80
90
Soil Grain Soil Grain
2009 (n = 2) 2010 (n = 16)
Proportion of 4 aflasafe™ strains in soil before treatment
and grains after harvest in control and treated fields
Aflasafestrains(%)
aa a aa a aa a aa a
b
b b
b
Carry-over of inoculum: 71, 52
and 28% after 1, 2, and 3 years
16. www.iita.orgA member of CGIAR consortium
Kenya: Efficacy of aflasafe KE01™
Area (fields) Control Treated
Reduction
(%)
Hola (n = 20) 885 20 98
Bura (n = 16) 105 7 93
Makueni (n = 15) 85 1 99
Aflatoxin (ppb)
*All means of aflasafe treated and control pairs significantly different; Student’s t-test (P<0.05)
38
20
0
88
60
33
0
10
20
30
40
50
60
70
80
90
100
Treated
Control
Fields (%) above
10 ppb in 3 areas
Fields(%)
Deadly (3,700 ppb & 2,270 ppb)
533 ppb
Hola
17. 74 ppb - Treated
1,133 ppb - Control
93.5% Reduction
Mutomo, Kitui County, Kenya: 2012 Tests
Short Rain Season Farmer Field Trials
Deadly
Average 2,750 ppb!
Range 1,790 ppb to 3,710 ppb.
Safe Food
510 ppb
Percent of Fields
TotalAflatoxins(ppb)
18. www.iita.orgA member of CGIAR consortium
Product Development in Africa
Products ready for registration
Products under testing
Strain development in progress
Senegal
Mali
Burkina
Ghana
Nigeria
Kenya
Tanzania
Mozambique
Zambia
Rwanda
Burundi
Uganda
2015
onwards
Benin
Togo
Ivory Coast
Ethiopia
South Sudan
Malawi
Sierra Leone
…………
The Gambia
19. www.iita.orgA member of CGIAR consortium
Groundnut sampling in The Gambia
(2013)
• Number of samples/region = 20 (4 villages per region; 5 samples per village) = 14
• Aflatoxin analyzed in all 140 samples
• Samples plated on semi-selective medium; 12 Aspergillus isolates / sample (excep
• Isolates characterized into species and strains; 72% L; 27% SBG and 1% parasiti
• All L-strain isolates interrogated for presence of the four aflasafe SN01 VCGs
20. www.iita.orgA member of CGIAR consortium
Aflatoxin in Groundnut in The Gambia
Regions*
Total Aflatoxins (ppb)
Mean Median Minimum Maximum
West Coast 268 19 ND 1,845
Lower River 3 ND ND 21
Upper River South 17 1 ND 208
Upper River North 5 1 ND 44
Central River
South 39 7 ND 253
Central River
North 102 13 ND 1,157
North Bank 102 23 ND 526
*Number of samples/region = 20 (4 villages per region; 5 samples per village)
Incidence
21. www.iita.orgA member of CGIAR consortium
Aflatoxin in Groundnut in The
Gambia
Regions*
Samples (%) with Total Aflatoxins (ppb)
ND → 4 >4 → 20 >20 → 100 >100
West Coast 40 10 10 40
Lower River 85 10 5 0
Upper River South 60 25 10 5
Upper River North 85 5 10 0
Central River
South 45 30 10 15
Central River
North 35 25 20 20
North Bank 40 10 20 30
*Number of samples/region = 20 (4 villages per region; 5 samples per village)
Severity
22. www.iita.orgA member of CGIAR consortium
Aflasafe SN01 VCG is Native in The
Gambia
Aflasafe
SN01 VCG
Gambian members of
VCG
Present in
Locations/Region
sNumber Name
M2-7 5
GMG 72-8 Upper River South
GMG 72-9 Upper River South
GMG 20-10 West Coast
GMG 87-9 Upper River North
GMG 105-14 Central River North
MS14-19 2
GMG 35-7 Lower River
GMG 107-1 Central River North
M21-11 1 GMG 72-12 Upper River South
SS19-14 4
GMG 72-3 Upper River South
GMG 72-4 Upper River South
GMG 72-6 Upper River South
GMG 72 - 7 Upper River South
24. AgResults Aflasafe Pilot -- 2013
www.iita.orgA member of CGIAR consortium
Some key statistics
• Number of implementers: 4
• Number of farmers: 1,015
• Treated area: 1,457 ha
• Average productivity: 4.3 tons/ha
• Maize aggregated for sale: 2,031 tons
• Samples with <4 ppb AF (n = 660): 99%
• Samples with >70% aflasafe strains
(n = 88): 65% to 100%
• Return on investment: Up to 510%
• Aflasafe maize kept for family (n = 60): 46%
26. www.iita.orgA member of CGIAR consortium
Scaling-Out
• Nigeria: AgResults (260,000 t)
• Senegal: Area-wide treatment in
2013; about 8 tons used
• Kenya: Government buy-in;
excellent support
• Zambia: Large-scale efficacy tests
and demonstration of product
value with private sector (12 t)
• Need for business plan,
manufacturing capacity,
marketing and distribution
strategies
• Critical role of PACA and RECs
27. www.iita.orgA member of CGIAR consortium
Aflasafe Manufacturing Facility
Large-scale: capacity 5 tons/hour
28. • Aflatoxins in food and feed pervasive
in Africa
• Biological control, as the foundation,
with other practices can dramatically
reduce aflatoxin contamination and
improve food safety and security
• Efforts underway to pilot
commercialization of aflatoxin
biocontrol and develop regional
strains
• The pilots need to be up-scaled and
efforts to improve efficacy needs a
fillip for wide-spread impact on
health and trade in Africa
Summary
29. IITA
Tucson
USDA/ARS
IITA, USDA, & Doreo have Teamed up to Bring
Aflatoxin Prevention to Africa
Made Possible by Many National Partners in Ministries, Industry, and on the Farm
Nigeria
For more information about aflatoxin biocontrol for Africa, check out: www.aflasafe.com