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Double Quantitative Analysis of the Effects of Meteorological Factors on Winter Wheat Yield at Different Growth Stages Based on Grey Relational Analysis

机译:基于灰色关系分析的不同生长阶段冬小麦产量对气象因素效果的双重定量分析

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摘要

In order to explore the influence of meteorological factors at different growth stages of grain, this paper firstly chooses winter wheat in Henan province as research object by dividing the winter wheat growth period into nine growth stages according to the phonological map. Then the study selects the yield data and daily average meteorological data of winter wheat in Henan province from 2005 to 2015 and uses the exponential smoothing method to calculate the meteorological yield of winter wheat, and finally establishes the meteorological factors set and the grey relational analysis model to doubly analyze the influence of meteorological factors on winter wheat at different growth stages. The results show that in the case of single analysis, the average relative humidity has the greatest influence on meteorological yield of winter wheat during sowing stage, tillering stage, overwintering stage and grouting stage; the mean wind speed has the greatest influence on meteorological yield of winter wheat during the period of reviving stage, jointing stage and maturing stage; the average daily temperature has the greatest influence on meteorological yield of winter wheat during the seeding stage; the duration of illumination has the greatest influence on meteorological yield of winter wheat during the heading stage. In the case of double quantitative analysis, the meteorological yield of winter wheat is influenced by the average temperature and the daily maximum temperature at the seedling stage, the average relative humidity of at the tillering stage and the overwintering stage, and the mean wind speed of jointing stage. The results are scientific and reliable and could provide evidence for winter wheat production in Henan province.
机译:为了探讨粮食不同增长阶段的气象因素的影响,本文首先选择了河南省的冬小麦作为研究对象,通过将冬小麦生长期除以九个生长阶段,根据语音图。然后,研究从2005年到2015年选择河南省冬小麦冬小麦的产量数据和日平均气象数据,并采用指数平滑方法计算冬小麦的气象产量,最后建立了气象因素和灰色关系分析模型在不同生长阶段的冬小麦上分析气象因素的影响。结果表明,在单一分析的情况下,平均相对湿度对播种阶段,分蘖阶段,越冬阶段和灌浆阶段对冬小麦气象产量的影响最大。平均风速对恢复阶段,联合阶段和成熟阶段期间对冬小麦气象产量的影响最大;平均每日温度对播种阶段冬小麦气象产量的影响最大。照明持续时间对出版期间冬小麦气象产量的影响最大。在双重定量分析的情况下,冬小麦的气象产量受到平均温度和幼苗阶段的最高温度的影响,在分蘖阶段和过冬阶段的平均相对湿度,以及平均风速联系阶段。结果是科学可靠,可以为河南省冬小麦生产提供证据。

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