Optimization of sowing time for adaptation to climate change and higher productivity of barley in the mid-Himalayas

D. Mahanta, Jaideep Kumar Bisht, L. Kant, A. Pattanayak
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引用次数: 1

Abstract

Optimization of sowing date of barley was assessed by conducting three years’ experiment with different sowing dates and three popular varieties of barley in the mid-Himalayas. With the help of quadratic equation, it was estimated that maximum grain yield of barley could be achieved with sowing on 12th November, which provided 8% higher yield compared to the existing recommended sowing date of 25th October. The present recommendation will help to adapt the climate change situation. Thousand grain weight was the most important yield contributing attribute as found from the principal component analysis and correlation. Grain yield of barley could be modelled through multi-linear regression equation with the help of yield attributes for the mid-Himalayas. The multi-linear regression equation will be highly useful for policy makers to estimate the yield of barley of either a district or a state in the mid-Himalayas.
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优化播期以适应气候变化,提高喜马拉雅中部大麦产量
通过3年不同播期和3个喜马拉雅中部地区大麦流行品种的试验,对大麦播期的优化进行了评价。利用二次方程估计,11月12日播种的大麦籽粒产量最高,比现有推荐播期10月25日增产8%。本建议将有助于适应气候变化的情况。主成分分析和相关分析表明,千粒重是最重要的产量贡献性状。利用中喜马拉雅地区的产量属性,可以用多元线性回归方程对大麦籽粒产量进行建模。该多元线性回归方程将对决策者估计喜马拉雅山脉中部地区或州的大麦产量非常有用。
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