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Quantitative analysis of the influence of meteorological factors at different growth stages on yield of winter wheat based on grey relational analysis

机译:基于灰色关联分析的不同生育时期气象因子对冬小麦产量影响的定量分析

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Grain is the relationship between the people's livelihood and social stability of the special goods, is the stability of the world's important strategic materials, but also is the human survival and social development of a solid foundation, the world attaches great importance to this. Grain production is closely related to climate factors, especially in the current stage of serious ecological environment destruction. Climate change has become an important factor affecting grain production and security. The scholars speculate that in the next 20–50 years, China's agriculture will be seriously affected by climate factors, and the grain production will be adversely affected. Analysis of meteorological factors affecting grain production, with a view to the development of food policy and the implementation of grain security system control to provide rationalization proposals. Wheat is one of the main grain crops in China, and annual planting area and total yield are second only to rice and maize. Henan is a major grain production province in China, which mainly grow winter wheat. During the whole growth and development of winter wheat, the meteorological factors such as temperature, light and rainfall are important environmental factors that affect the normal growth of winter wheat. Many scholars at home and abroad have done a lot of fruitful work in the field of meteorology and wheat production. Chinese studies on meteorology and grain production can be traced back to the Northern Wei Dynasty. China's outstanding agronomist Jia Sixie, in his book “Qi Min Yao Shu” described in detail the seasons, climates, crops and their mutual relationships. Most of the above research methods are based on the principle of statistics and fuzzy mathematics to study the effect of meteorological factors on the yield of wheat growth period. The grain production system itself is a grey system, which is influenced by many influencing factors. The large sample of data defects, for food production system is no longer applicable, and grey system theory just to make up for the mathematical statistics method defects. The existing literature review focuses on the impact of meteorological factors on the yield of grain during the whole growth period, there is little literature about combining phenology changes to study the influence of meteorological factors on different growth stages of crops, the results are not well explained its various growth stages of the impact mechanism. In order to explore the influence of meteorological factors in different growth stages of crops, 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 in 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 was influenced by the average relative temperature and the daily maximum temperature at the seedling stage, the average relative humidity of the tillering stage and the overwintering stage and the mean wind speed of jointing stage. Generally speaking, the results of this study are in agreement with previous studies, And this article more comprehensive and specific study of the whole growth stage of winter wheat different meteorological factors on the impact of meteorological production. Through the study of the influence of meteorological factors on grain yield, it is of great significance to the sustainable development of agriculture in Henan province and to improve the economic strength of Henan province, which is of theoretical significance to the social and economic development of the province and the improvement of grain yield.
机译:粮食是关系民生与社会稳定的特殊商品,是世界稳定的重要战略材料,也是人类生存和社会发展的坚实基础,世界对此高度重视。粮食生产与气候因素密切相关,特别是在当前严重的生态环境破坏阶段。气候变化已成为影响谷物生产和安全的重要因素。学者们推测,在未来的20至50年中,中国的农业将受到气候因素的严重影响,而粮食生产将受到不利影响。分析影响粮食生产的气象因素,以期为制定粮食政策和实施粮食安全体系控制提供合理化建议。小麦是中国的主要粮食作物之一,年种植面积和总产量仅次于水稻和玉米。河南是中国主要的粮食生产省,主要种植冬小麦。在冬小麦整个生长发育过程中,温度,光照和降雨等气象因素是影响冬小麦正常生长的重要环境因素。国内外许多学者在气象和小麦生产领域做了很多卓有成效的工作。中国对气象和粮食生产的研究可以追溯到北魏时期。中国杰出的农艺师贾四喜在他的《齐民要书》中详细描述了季节,气候,农作物及其相互关系。以上大多数研究方法都是基于统计原理和模糊数学原理,研究气象因素对小麦生育期产量的影响。谷物生产系统本身是一个灰色系统,受许多影响因素的影响。大量的数据缺陷样本,不适用于食品生产系统,而灰色系统理论只是弥补了数学统计方法的缺陷。现有的文献综述主要集中在整个生育期内气象因素对谷物产量的影响,关于结合物候变化来研究气象因素对农作物不同生育期的影响的文献很少,对结果的解释还不充分。其各个成长阶段的影响机制。为了探讨气象因素对农作物不同生育期的影响,本文首先根据语音图谱,以河南省冬小麦生育期分为九个生育期为研究对象,以河南省冬小麦为研究对象。然后选取2005-2015年河南省冬小麦的产量数据和日平均气象数据,采用指数平滑法计算冬小麦的气象产量,最终建立气象因子集和灰色关联分析模型。双重分析了不同生育阶段气象因素对冬小麦的影响。结果表明,在单一分析中,播种期,分till期,越冬期和灌浆期的平均相对湿度对冬小麦气象产量的影响最大。在恢复期,拔节期和成熟期,平均风速对冬小麦气象产量的影响最大。在播种期,平均日温度对冬小麦气象产量的影响最大。在抽穗期,光照时间对冬小麦的气象产量影响最大。在双重定量分析的情况下,冬小麦的气象产量受苗期平均相对温度和日最高温度,分er期和越冬期的平均相对湿度以及拔节平均风速的影响。阶段。总体而言,本研究结果与以往的研究相吻合,并且本文对冬小麦整个生育期的不同气象因素对气象产量的影响进行了较为全面,具体的研究。通过研究气象因素对粮食产量的影响,对河南省农业的可持续发展和提高河南省的经济实力具有重要意义,对河南省的社会经济发展具有重要的理论意义。省和粮食增产。

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