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USING FORECASTED WEATHER DATA AND NEURAL NETWORKS FOR DON PREDICTION IN BARLEY

机译:在大麦的唐预测中使用预测的天气数据和神经网络

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Fusarium head blight (FHB), caused by the fungus Gibberella zeae (Schwein) Petch (anamorph: Fusarium graminearum Schwabe), continues to be a serious problem for barley producers in the U.S. Northern Great Plains and elsewhere. Economic losses associated with FHB occur because of the blighting of florets (reduction in grain number), disruption of grain fill (shriveled kernels leading to lower test weight), and most importantly through the contamination of grain with trichothecene mycotoxins, primarilydeoxynivalenol (DON). Tolerances for DON in malting barley are generally lower than those for food or feed-grade barley and discounts can be implemented if the level detected exceeds 0.5 parts per million (ppm).
机译:Fusarium Head Blight(FHB),由真菌吉卜伯拉Zeae(Schwein)Petch(厌氧:镰刀·克柳氏豆腐施瓦布)引起的,继续对美国北部大平原和其他地方的大麦生产者来说是一个严重的问题。与FHB相关的经济损失发生,因为小花(谷物数减少),谷物填充的破坏(萎缩的核导致测试重量较低),最重要的是通过谷物污染与Trichothecene霉菌毒素,主要是辛氧化苯酚(Don)。在麦芽大麦的唐唐的公差通常低于食物或饲料级大麦的耐受性,如果检测到的水平超过每百万(ppm)的水平超过0.5份(PPM),则可以实施折扣。

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