The Mold Cure Nobody Uses

Aflatoxins — carcinogenic mycotoxins produced by Aspergillus mold — contaminate at least 30% of groundnuts in local sub-Saharan African markets and have reached 10,000 ppb in Kenyan maize samples against a regulatory limit of 4–20 ppb. The causal pathway from contamination to harm is well-documented: approximately 26,000 deaths per year from hepatocellular carcinoma in sub-Saharan Africa are attributable to chronic aflatoxin exposure, with an additional $670 million in annual grain trade losses from rejections. Aflasafe, a biocontrol product developed by IITA/USDA that applies native non-toxigenic Aspergillus strains to competitively exclude toxigenic ones, produces 80–100% contamination reduction in field trials. It is registered in multiple African countries. It is not being used at meaningful scale.

The gap between demonstrated efficacy and field adoption is not an information gap about whether Aflasafe works — it works — nor a technical gap about how to manufacture it. IITA has established licensed manufacturing in Nigeria, Kenya, Senegal, Ghana, and Tanzania. The adoption failure is behavioral, institutional, and market-structural: aflatoxin is invisible (no smell, no visible mold at toxic levels), enforcement of food safety standards is inconsistent, and the market does not price aflatoxin risk in a way that makes contamination costly to producers. Farmers have no incentive signal from buyers, no reliable enforcement fear, and no visual feedback from their own crop. Meanwhile, a new AI-based early warning system (A-EWS) can provide pre-harvest risk maps predicting where aflatoxin is likely to develop — but a validated link between receiving a risk forecast and taking a biocontrol action has not been established.

IITA and partners have invested substantially in Aflasafe product development, registration, licensing, and awareness campaigns over more than a decade. Adoption remains low because awareness campaigns without market incentives change knowledge without changing behavior — a well-documented pattern in agricultural extension. Regulatory enforcement of aflatoxin standards in domestic markets is inconsistent and underfunded, meaning that contaminated grain flows through local food systems without consequence to sellers. Export markets do enforce standards, and some exporters use biocontrol as part of compliance, but this reaches only a fraction of production. The new AI early warning tool addresses a real gap (predicting where risk will be high) but its designers acknowledge that the link between forecast delivery and protective action is not yet closed: knowing risk is coming does not automatically translate into farmers applying Aflasafe or adjusting storage practices.

Closing the forecast-to-action gap is the most tractable near-term unlock: designing and testing a lightweight decision-support protocol that moves a farmer from receiving an aflatoxin risk alert to taking a specific, affordable, available protective action within a defined time window. This requires understanding the actual decision environment — cost of Aflasafe, proximity to supplier, timing relative to planting — and designing the intervention to fit that environment rather than assuming alert receipt is sufficient. In parallel, market-side incentives — buyer premiums for tested grain, aggregator-level testing, export market linkage — are necessary to give producers an ongoing reason to invest in biocontrol beyond individual awareness campaigns.

A behavioral design team could work with CGIAR/IITA and local partners in one country to design and pilot a structured decision protocol linking the AI early warning alert to specific farmer actions — testing what message content, timing, and follow-up produce the highest uptake. A market systems team could map the grain value chain in one crop-country combination to identify where aflatoxin testing could be inserted as a buyer requirement — modeling what incentive level would make adoption economically rational for producers at current Aflasafe costs. A food safety policy team could analyze what regulatory enforcement mechanisms have changed producer behavior for invisible contaminants in analogous contexts and assess applicability to sub-Saharan African grain markets.