Modelling climatic risks of aflatoxin contamination in maize

Y. Chauhan, G. Wright, N. Rachaputi
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引用次数: 67

Abstract

Aflatoxins are highly carcinogenic mycotoxins produced by two fungi, Aspergillus flavus and A. parasiticus, under specific moisture and temperature conditions before harvest and/or during storage of a wide range of crops including maize. Modelling of interactions between host plant and environment during the season can enable quantification of preharvest aflatoxin risk and its potential management. A model was developed to quantify climatic risks of aflatoxin contamination in maize using principles previously used for peanuts. The model outputs an aflatoxin risk index in response to seasonal temperature and soil moisture during the maize grain filling period using the APSIM’s maize module. The model performed well in simulating climatic risk of aflatoxin contamination in maize as indicated by a significant R2 (P ≤ 0.01) between aflatoxin risk index and the measured aflatoxin B1 in crop samples, which was 0.69 for a range of rainfed Australian locations and 0.62 when irrigated locations were also included in the analysis. The model was further applied to determine probabilities of exceeding a given aflatoxin risk in four non-irrigated maize growing locations of Queensland using 106 years of historical climatic data. Locations with both dry and hot climates had a much higher probability of higher aflatoxin risk compared with locations having either dry or hot conditions alone. Scenario analysis suggested that under non-irrigated conditions the risk of aflatoxin contamination could be minimised by adjusting sowing time or selecting an appropriate hybrid to better match the grain filling period to coincide with lower temperature and water stress conditions.
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模拟玉米中黄曲霉毒素污染的气候风险
黄曲霉毒素是一种高度致癌的真菌毒素,由黄曲霉和寄生曲霉两种真菌在收获前和/或包括玉米在内的多种作物储存期间的特定湿度和温度条件下产生。对寄主植物和环境之间的相互作用进行建模,可以量化收获前黄曲霉毒素的风险及其潜在的管理。利用以前用于花生的原理,开发了一个模型来量化玉米黄曲霉毒素污染的气候风险。该模型利用APSIM的玉米模块输出玉米灌浆期随季节温度和土壤湿度变化的黄曲霉毒素风险指数。该模型在模拟玉米黄曲霉毒素污染的气候风险方面表现良好,黄曲霉毒素风险指数与作物样品中测量到的黄曲霉毒素B1之间存在显著的R2 (P≤0.01),在澳大利亚降雨地区为0.69,在灌溉地区也包括在内的分析中为0.62。利用106年的历史气候数据,该模型进一步应用于确定昆士兰州四个非灌溉玉米种植区超过给定黄曲霉毒素风险的概率。气候干燥和炎热的地区与仅干燥或炎热的地区相比,黄曲霉毒素风险更高的可能性要高得多。情景分析表明,在非灌溉条件下,通过调整播期或选择合适的杂交品种,使籽粒灌浆期与较低的温度和水分胁迫条件相匹配,可以最大限度地降低黄曲霉毒素污染的风险。
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