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Impact of Weather Parameters on Bengalgram Yield in PrakasamDistrict

机译:天气参数对水草地区孟加拉产量的影响

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This paper attempted to study the yield-weather relationship of chickpea (Cicer arietinum) in Prakasam district of AP. The annual yields and month wise weather parameters data for Prakasam district over fifteen years (2000-01 to 2014-15) were used toidentify the quantum jumps and the technological changes. The yield-weather relationship was formulated using multiple linear regression.Analogy of Control charts and Time trend equations suggested existence of quantum jumps. So, the time effect was found to be discrete in nature over time in the Bengal-gram yields creating two sub-periods which indicate technological changes in the studyperiod. Crop yield-weather models revealed that Bengal-gram yields during 2000-01 to 2007-08 were influenced by January rainfall (positively) and during 2008-09 to 2014-15 by December rainfall (negatively) indicating differential weather response of respective technological periods. Thus it was inferred that overall yield-weather relationship may not be appropriate. Hence, individual relationships for the sub-periods prevailing in the yield data were found to be more meaningful.
机译:本文试图研究AP地区Prakasam地区鹰嘴豆(Cicer arietinum)的产量-天气关系。使用Prakasam地区15年(2000-01至2014-15)的年产量和逐月天气参数数据来识别量子跃迁和技术变化。利用多元线性回归来建立产量与天气的关系。控制图和时间趋势方程的分析表明存在量子跃迁。因此,在孟加拉克产量中,时间效应在时间上本质上是离散的,从而产生了两个子时期,这表明了研究时期的技术变化。作物产量-天气模型显示,在2000-01至2007-08年间孟加拉的产量受到1月降雨的影响(正),而在2008-09至2014-15年间则受12月的降雨影响(负),表明各个技术时期的天气响应差异。因此可以推断出总体的产量-天气关系可能不合适。因此,发现收益率数据中占主导地位的子期间的个体关系更有意义。

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