四川农业大学学报 ›› 2021, Vol. 39 ›› Issue (5): 666-673.doi: 10.16036/j.issn.1000-2650.2021.05.015

• 资源与环境 • 上一篇    下一篇

川中丘陵区气象因子与玉米倒伏和产量的灰色关联度分析

张森1, 徐开未1, 裴丽珍1, 陈晓辉2, 张雯雯1, 肖华1, 彭丹丹1, 陈远学1,*   

  1. 1.四川农业大学资源学院,成都 611130;
    2.福建农林大学资源与环境学院,福州 350002
  • 收稿日期:2021-05-15 出版日期:2021-10-30 发布日期:2021-11-01
  • 通讯作者: *陈远学,博士,教授,主要从事玉米营养与施肥高产高效方面研究,E-mail: cyxue11889@163.com。
  • 作者简介:张森,硕士研究生。
  • 基金资助:
    国家重点研发计划项目(2016YFD0300300); 四川省科技计划项目(2020YJ0354); 国家玉米产业技术体系项目(CARS-02-04)

Grey Correlation Analysis of Meteorological Factors,Maize Lodging and Yield in the Hilly Region of Central Sichuan

ZHANG Sen1, XU Kaiwei1, PEI Lizhen1, CHEN Xiaohui2, ZHANG Wenwen1, XIAO Hua1, PENG Dandan1, CHEN Yuanxue1,*   

  1. 1. College of Resources,Sichuan Agricultural University,Chengdu 611130,China;
    2. College of Resources and Environment,Fujian Agriculture and Forestry University,Fuzhou 350002,China
  • Received:2021-05-15 Online:2021-10-30 Published:2021-11-01

摘要: 【目的】 针对川中丘陵区春玉米生育期内早期干旱后期高温多雨的特殊气候生态条件,为进一步挖掘川中丘陵区玉米生产潜力,研究玉米的生态气候适应性以及推进玉米的机械化进程提供理论依据。【方法】 2017—2019年在四川省德阳市中江县以郑单958和仲玉3号为材料进行田间试验,采用灰色关联度分析法,研究玉米倒伏和产量对气象因子的响应程度。【结果】 郑单958品种2018年的倒伏率分别较2017和2019年增加19.7和10.1倍,产量分别降低19.4%和19.2%;仲玉3号品种2018年的倒伏率分别较2017和2019年增加5.1和2.7倍,产量分别降低37.9%和38.1%;有效积温和日照时数通过增加玉米穗长、穗粒数和单位面积穗数提高玉米产量;气象因子对产量的影响程度因品种特性表现出差异,郑单958表现为:有效积温>相对湿度>日均温>日照时数>平均风速>降水量,仲玉3号表现为:日照时数>有效积温>日均温>相对湿度>平均风速>降水量;气象因子对玉米倒伏的影响,郑单958表现为:降水量>日均温>相对湿度>平均风速>有效积温>日照时数,仲玉3号表现为:降水量>日均温>相对湿度>有效积温>平均风速>日照时数。【结论】 在川中丘陵区,影响郑单958产量的关键气象因子为有效积温,影响仲玉3号产量的关键气象因子为日照时数,降水量为该区域玉米倒伏的主要影响因素。

关键词: 春玉米, 气象因子, 产量, 倒伏, 灰色关联度分析

Abstract: 【Objective】 Based on the special climatic ecological conditions of the drought during the early stage and the high temperature and rainfall intensity during the late stage in the spring maize growth period in the hilly region of central Sichuan. In order to provide a theoretical basis for further exploit the maize production potential in the hilly region of central Sichuan, studying the ecoclimatic adaptation and promoting the mechanization process of corn. 【Method】 Field experiments were conducted with Zhengdan 958 and Zhongyu 3 in Zhongjiang County, Deyang City, Sichuan Province from 2017 to 2019. The grey relational degree analysis was used to study the response degree of meteorological factors to maize yield and lodging combined with meteorological data of three years. 【Result】 The lodging rate of Zhengdan 958 in 2018 increased by 19.7 and 10.1 times, and the yield decreased by 19.4% and 19.2% compared with that in 2017 and 2019 respectively. The lodging rate of Zhongyu 3 in 2018 increased by 5.1 and 2.7 times, and the yield decreased by 37.9% and 38.1% respectively compared with that in 2017 and 2019. Growing-degree days and daylight hour can increase corn yield by increasing ear length, grain number per ear and ear number per unit area. The effect of meteorological factors on yield was different among different maize varieties, for Zhengdan 958 were:growing-degree days>relative humidity>average daily temperature>daylight hour>average wind velocity>amount of rainfall, and for Zhongyu 3 were:daylight hour>growing-degree days>average daily temperature>relative humidity>average wind velocity>amount of rainfall. The effect of meteorological factors on maize lodging for Zhengdan 958 were:amount of rainfall>average daily temperature>relative humidity>average wind velocity>growing-degree days>daylight hour, and for Zhongyu 3 were: amount of rainfall>average daily temperature>relative humidity>growing-degree days>average wind velocity>daylight hour. 【Conclusion】 In the hilly region of central Sichuan, the key meteorological factor affecting the yield for Zhengdan 958 was growing-degree days, while for Zhongyu 3 was daylight hour. Amount of rainfall is the main factor affecting maize lodging in this region.

Key words: spring maize, meteorological factors, yield, lodging, grey relational analysis

中图分类号: 

  • S513