首页> 外文期刊>Annals of Plant Protection Sciences >Linear disease prediction model in groundnut rust epidemics.
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Linear disease prediction model in groundnut rust epidemics.

机译:花生锈病流行的线性疾病预测模型。

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Field trials were conducted in Dapoli, Konkan, Maharashtra, India, to study development of rust (Puccinia arachidis) of groundnut cv. Konkan Tapora in relation to weather parameters during the 2003 kharif and 2003-04 rabi, seasons. The main object was to develop environment-based linear prediction model to predict rust before the actual appearance using the stepwise multiple regression analysis. Maximum temperature, minimum temperature, maximum relative humidity, wind speed, sunshine hours, rainfall and crop age were had high correlation with the rust disease during 2003 kharif, while during 2003-04 rabi, maximum temperature, minimum temperature, relative humidity, wind speed, rainfall, evaporation and crop age were the highly correlating factors for rust development in groundnut..
机译:在印度马哈拉施特拉邦的Konkan的Dapoli进行了田间试验,以研究花生cv的锈病(Puccinia arachidis)的发展。 Konkan Tapora与2003年Kharif和2003-04 rabi季节的天气参数有关。主要目的是开发基于环境的线性预测模型,使用逐步多元回归分析法在实际出现之前预测生锈。最高温度,最低温度,最高相对湿度,风速,日照时数,降雨量和作物年龄与2003年卡里夫邦的锈病高度相关,而在2003-04年狂犬病期间,最高温度,最低温度,相对湿度,风速,降雨,蒸发和作物年龄是花生锈病发展的高度相关因素。

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