首页> 外文期刊>Indian Journal of Plant Protection >Prediction models for sorghum shootfly, Atherigona soccata during Rabi season for Dharwad region
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Prediction models for sorghum shootfly, Atherigona soccata during Rabi season for Dharwad region

机译:达瓦德地区拉比季高粱shoot,雅典娜神A的预测模型

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Weather based prediction model for shootfly incidence in sorghum crop was developed for Dharwad region of Karnataka using the weather variables viz., maximum and minimum temperature, relative humidity in morning and evening, rainfall and shoot fly eggand dead heart per cent data during Rabi season. Stepwise regression analysis was carried out to know the important weather parameter in incidence of shoot fly. The backward elimination procedure was followed to retain the important variables and the best model for the prediction of shootfly egg and dead heart development was selected based on high coefficient of determination and less standard error. The best model for the prediction of egg development found in the year 2000 (R2= 0.933) with less standard error (SE=0.30) for 7 days after emergence of crop and during 14 DAE model in the year 2005(R2= 0.999, SE=0.179), for 21 DAE in the year 2005(R2=0.993 SE= 1.442) and 2006 (R2=0.990 SE=0.749) and for 28 DAE model in the year 2003(R2=0.992 SE=0.702) were found best fit. The developed stepwise models in this study could be used to determine the incidence of shoot fly during 7, 14, 21 and 28 days after emergence of the crop and for taking up the timely crop protection measures during the Rabi season.
机译:使用天气变量,即最高和最低温度,早晚的相对湿度,降雨和枝fly卵和死心率数据,为卡纳塔克邦的达瓦德地区开发了基于天气的高粱作物枝fly发生率预测模型。进行了逐步回归分析,以了解枝条蝇发生的重要天气参数。遵循后向消除程序以保留重要变量,并基于高确定系数和较小标准误差,选择了预测shoot蝇卵和死心发育的最佳模型。 2000年发现最佳的鸡蛋发育预测模型(R2 = 0.933),出苗后7天和2005年的14个DAE模型期间的标准误差(SE = 0.30)较小(R2 = 0.999,SE = 0.179),发现最适合2005年的21个DAE(R2 = 0.993 SE = 1.442)和2006年(R2 = 0.990 SE = 0.749)和28个2003年的DAE模型(R2 = 0.992 SE = 0.702) 。在这项研究中开发的逐步模型可以用于确定作物出苗后7、14、21和28天的嫩芽发生率,并用于在拉比季节采取及时的作物保护措施。

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