中文摘要：玉米伏马菌素(FB)污染受气象条件及作物抗性的影响很强。通常用逻辑回归技术来量化天气变量对阿根廷潘帕斯地区（超过三个生长季节）多个地点，到达出口终端后立即收集的玉米籽样品总FB含量的影响。 研究表明，玉米价值链中的FB管理集成系统，应使用验证的基于天气的模型作为估算潘帕斯地区季节性玉米籽FB污染水平的工具，提高出口终端和加工厂的玉米籽采样效率。
外文摘要：Maize fumonisin (FB) contamination is strongly driven by the weather conditions and crop resistance. Logistic regression techniques were used to quantify the effect of weather-based variables on total FB content in kernel samples coming from many locations of the Argentinean Pampas region (over three growing seasons), and collected immediately after arriving at export terminals. The samples were analyzed by the HPLC method and grouped according to their proximity to the available weather stations (n = 52). The highest correlations between binary and ordinal FB levels and weather variables were found in an early critical period (17 December to 15 January) where maize silking phase (Si) frequently occurs and in a late period (15 February to 2 April) around physiological maturity (PM). The best-fitted models included variables calculated around Si that would meet the requirements of infection of F. verticillioides (precipitation-induced wetness events, high humidity and warm temperatures). Around PM, the effect of the number of days with precipitation combined with lower temperatures (13.3° to 25 °C) that would slow the kernel drying process was included, increasing the FB accumulation. An integrated system for FB management in the maize value chain should use validated weather-based models as tools for estimating seasonal kernel FB contamination levels in the Pampas region, being able to improve kernel sampling efficiency at export terminals and mills.
外文关键词：Fusarium verticillioides；Logistic regression models；Mycotoxins
作者：Sancho, AM；Moschini, RC；Filippini, S；Rojas, D；Ricca, A
作者单位：INTA
期刊名称：TROPICAL PLANT PATHOLOGY
期刊影响因子：0.835
出版年份：2018
出版刊次：2
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