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首页> 外文期刊>Indian Phytopathology >Role of temperature, relative humidity and rainfall in the development of French bean rust ( Uromyces? appendiculatus)
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Role of temperature, relative humidity and rainfall in the development of French bean rust ( Uromyces? appendiculatus)

机译:温度,相对湿度和降雨在法国豆生锈的发展中的作用(<重点类型=“斜体”>尿道? <重点类型=“斜体”> Appendiculatus

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摘要

In plant disease development, temperature, relative humidity and rainfall are critical factors. To determine how specific environmental variables affect French bean rust, we determined the effect of these variables on disease development. Higher relative humidity (>?85%), moderate temperature (20–25?°C) and 18–24?h leaf wetness were found optimum for disease development. Effect of different meteorological factors on disease progress was studied under natural epiphytotic conditions and found that the disease was initiated in the second week of August and reached at peak in mid September. Multiple correlation coefficients between disease severity and these environmental factors suggested that 92.36% rust severity was due to mean temperature, average relative humidity and cumulative rainfall while rest of the variation may be attributed to the factors not included in the investigations. The multiple linear regression equation was fitted to the data and the equation arrived for all the weather parameters was, Y?=???52.4852?+?1.2535 X~(1)?+?0.8008 X~(2)???0.2862 X~(3)?+?0.4622 X~(4)???0.7755 X~(5)?+?0.2428 X~(6). With the step, down procedure, three variable i.e., maximum temperature (X~(1)), cumulative rainfall (X~(5)) and wind speed (X~(6)) were eliminated and final equation fitted to the data is Y?=???37.4111?+?1.0622 X~(2)?+?0.5299 X~(3)???0.2868 X~(4).
机译:在植物疾病的发展中,温度,相对湿度和降雨是关键因素。为了确定具体的环境变量如何影响法式豆腐,我们确定这些变量对疾病发展的影响。相对湿度(>α85%),中等温度(20-25℃)和18-24℃叶湿度被发现最佳疾病发展。不同气象因素对天然又骨质疾病的影响研究疾病进展,发现该疾病于八月的第二周开始,9月中旬达到峰。疾病严重程度与这些环境因素之间的多种相关系数表明,92.36%的锈病严重程度是由于平均温度,平均相对湿度和累积降雨,而剩余的变化可能归因于未包括在调查中的因素。多元线性回归方程安装在数据上,并且等式到达所有天气参数,y?= ??? 52.4852?+ 1.2535 x〜(1)?+ 0.8008 x〜(2)??? 0.2862 x〜(3)?+?0.4622 x〜(4)??? 0.7755 x〜(5)?+?0.2428 x〜(6)。通过步骤,下一步骤,三个变量,即最大温度(x〜(1)),累积降雨量(x〜(5))和风速(x〜(6))被淘汰,并且适合数据的最终方程是y?= ??? 37.4111?+?1.0622 x〜(2)?+?0.5299 x〜(3)??? 0.2868 x〜(4)。

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