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首页> 外文期刊>Journal of Economic Entomology >Physiological time model for predicting adult emergence of Western corn rootworm (Coleoptera : Chrysomelidae) in the Texas High Plains
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Physiological time model for predicting adult emergence of Western corn rootworm (Coleoptera : Chrysomelidae) in the Texas High Plains

机译:预测德克萨斯高平原西部玉米根虫(鞘翅目:甲蝶科)成虫出现的生理时间模型

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摘要

Field observations at three locations in the Texas High Plains were used to develop and validate a degree-day phenology model to predict the onset and proportional emergence of adult Diabrotica virgifera virgifera LeConte (Coleoptera: Chrysomelidae) adults. Climatic data from the Texas High Plains Potential Evapotranspiration network were used with records of cumulative proportional adult emergence to determine the functional lower developmental temperature, optimum starting date, and the sum of degree-days for phenological events from onset to 99% adult emergence. The model base temperature, 10 degrees C (50 degrees F), corresponds closely to known physiological lower limits for development. The model uses a modified Gompertz equation, y = 96.5 x exp(-(exp(6.0 - 0.00404 x (x - 4.0)))), where x is cumulative heat (degree-days), to predict y, cumulative proportional emergence expressed as a percentage. The model starts degree-day accumulation on the date of corn, Zea maps L., emergence, and predictions correspond closely to corn phenological stages from tasseling to black layer development. Validation shows the model predicts cumulative proportional adult emergence within a satisfactory interval of 4.5 d. The model is flexible enough to accommodate early planting, late emergence, and the effects of drought and heat stress. The model provides corn producers ample lead time to anticipate and implement adult control practices.
机译:使用得克萨斯州高平原地区三个地点的实地观察来开发和验证度日物候模型,以预测成年的Diabrotica virgifera virgifera virgifera LeConte(鞘翅目:金眼科)成虫的发病和成比例出现。来自得克萨斯州高平原潜在蒸散网络的气候数据与成年成年累积成比例记录一起使用,以确定从成年到成年成年出现的物候事件的功能性较低发育温度,最佳起始日期和度日数之和。模型基本温度为10摄氏度(50华氏度),与已知的生理学下限密切相关。该模型使用修正的Gompertz方程(y = 96.5 x exp(-(exp(6.0-0.00404 x(x-4.0)))))(其中x是累积热量(度-天))来预测y,累积比例出现百分比该模型从玉米日期开始进行度日累积,Zea绘制L.出现,并且预测与从t雄到黑皮层发育的玉米物候阶段密切相关。验证表明,该模型可预测在4.5 d的令人满意的时间间隔内成年成年成虫的累积成比例。该模型具有足够的灵活性,可以适应早期播种,晚期出苗以及干旱和高温胁迫的影响。该模型为玉米生产者提供了充足的交货时间,以预测和实施成人控制措施。

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