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Predicting pre-harvest aflatoxin corn contamination risk with a drought index

机译:预测收获预先收获的黄曲霉毒素玉米污染风险与干旱指数

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Pre-harvest aflatoxin corn (Zea mays L.) contamination is a worldwide issue and predicting the risk is challenging. This study was conducted to determine whether a drought index could be used to predict corn aflatoxin contamination risk and the in-season and among sites risk differences. The Agricultural Reference Index for Drought (ARID) was evaluated as an aflatoxin risk prediction tool. Multiple logistic regression models were used to predict aflatoxin risk as a function of weekly ARID values, soil type and corn hybrid. Preliminary results revealed: (1) aflatoxin risk might be assessed by ARID; (2) soil and hybrid type were significant; and (3) ARID-based risk changed during the growing season. Therefore, contamination risk might be minimized byadapting site-specific management strategies.
机译:收获前阿皮脂毒素玉米(Zea Mays L.)污染是一个全球问题,预测风险是具有挑战性的。 进行了该研究以确定干旱指数是否可用于预测玉米黄曲霉毒素污染风险和季节性风险差异。 干旱(干旱)的农业参考指数评价为黄曲霉毒素风险预测工具。 使用多元逻辑回归模型来预测作为每周干旱值,土壤类型和玉米杂种的函数的黄曲霉毒素风险。 初步结果显示:(1)可能会通过干旱评估黄曲霉毒素风险; (2)土壤和杂化型是显着的; (3)在不断增长的季节期间,基于干旱的风险发生了变化。 因此,可能会减少污染风险,逐步减少特定于特别的管理策略。

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