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Estimating the responses of winter wheat yields to moisture variations in the past 35 years in Jiangsu Province of China

机译:估算过去35年中国江苏省冬小麦产量对水分变化的响应

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摘要

Jiangsu is an important agricultural province in China. Winter wheat, as the second major grain crop in the province, is greatly affected by moisture variations. The objective of this study was to investigate whether there were significant trends in changes in the moisture conditions during wheat growing seasons over the past decades and how the wheat yields responded to different moisture levels by means of a popular drought index, the Standardized Precipitation Evapotranspiration Index (SPEI). The study started with a trend analysis and quantification of the moisture conditions with the Mann-Kendall test and Sen’s Slope method, respectively. Then, correlation analysis was carried out to determine the relationship between de-trended wheat yields and multi-scalar SPEI. Finally, a multivariate panel regression model was established to reveal the quantitative yield responses to moisture variations. The results showed that the moisture conditions in Jiangsu were generally at a normal level, but this century appeared slightly drier in because of the relatively high temperatures. There was a significant correlation between short time scale SPEI values and wheat yields. Among the three critical stages of wheat development, the SPEI values in the late growth stage (April-June) had a closer linkage to the yields than in the seedling stage (October-November) and the over-wintering stage (December-February). Moreover, the yield responses displayed an asymmetric characteristic, namely, moisture excess led to higher yield losses compared to moisture deficit in this region. The maximum yield increment could be obtained under the moisture level of slight drought according to the 3-month SPEI at the late growth stage, while extreme wetting resulted in the most severe yield losses. The moisture conditions in the first 15 years of the 21st century were more favorable than in the last 20 years of the 20th century for wheat production in Jiangsu.
机译:江苏是中国重要的农业省。冬小麦是该省第二大粮食作物,受水分变化的影响很大。这项研究的目的是通过流行的干旱指数(标准降水蒸发蒸腾指数)调查过去几十年中小麦生长季节的水分状况是否存在显着变化趋势,以及小麦产量如何响应不同的水分含量(SPEI)。这项研究首先分别进行了趋势分析,并分别使用Mann-Kendall试验和Sen's Slope方法对水分条件进行了定量。然后,进行了相关分析,以确定趋势小麦单产与多尺度SPEI之间的关系。最后,建立了一个多元面板回归模型以揭示对水分变化的定量产量响应。结果表明,江苏省的水分条件总体上处于正常水平,但由于相对较高的温度,本世纪显得有些干燥。短时尺度SPEI值与小麦产量之间存在显着相关性。在小麦发育的三个关键阶段中,生长后期(4月至6月)的SPEI值与产量的关系比苗期(10月至11月)和越冬阶段(12月至2月)的紧密。 。此外,产量响应显示出不对称的特征,即与该区域的水分亏缺相比,水分过多导致了更高的产量损失。在生长后期,根据3个月的SPEI,在轻微干旱的水分水平下可以获得最大的增产,而极端湿润则导致最严重的增产损失。对于江苏省的小麦生产而言,21世纪前15年的水分条件比20世纪最后20年的水分条件更为有利。

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