| 夏玉米产量与主要气象因子灰色关联度分析 |
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| 引用本文： | 杨宁,孔令刚,甄铁军,夏珍珍,杨慧,王洛彩,郑国喜.夏玉米产量与主要气象因子灰色关联度分析[J].农学学报,2020,10(11):37-42. |
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| 作者姓名： | 杨宁 孔令刚 甄铁军 夏珍珍 杨慧 王洛彩 郑国喜 |
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| 作者单位： | 山东省枣庄市农业农机技术推广中心,山东枣庄 277800 |
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| 基金项目： | 国家现代农业示范区建设项目《农业农村部关于认定第三批国家现代农业示范区的通知》(农计发〔2015〕1号);国家农业可持续发展示范区创建项目农业农村部等8部委《关于启动第一批国家农业可持续发展试验示范区建设开展农业绿色发展先行先试工作的通知》(农计办〔2017〕121号);山东省重大农业项目山东省土肥总站《2018年水肥一体化工程示范项目指导意见》(鲁土肥字〔2018〕5号);山东省枣庄市科技发展计划项目《夏玉米异常灾害预警应对技术研究与开发》(201501-6) |
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| 摘 要： | 为了更好分析主要气象因子对夏玉米产量影响情况,采用灰色关联度分析方法,对山东省枣庄市2011—2018年夏玉米产量与主要气象因子的灰色关联分析,结果表明：夏玉米产量与主要气象因子的灰色关联度排序依次为：9月份气温(0.9562)>6—9月份气温(0.9449)>6月份气温(0.9312)>7月份气温(0.9283)>8月份气温(0.9157)>6—9月份光照时数(0.8578)>7月份光照时数(0.8393)>9月份光照时数(0.8283)>6月份光照时数(0.8212)>8月份光照时数(0.7803)>6—9月份降水量(0.7623)>9月份降水量(0.6783)>8月份降水量(0.6239)>6月份降水量(0.5842)>7月份降水量(0.5409)。气温是主要因子,其次是光照时数,最后是降水量,通过夏玉米产量与主要气象因子灰色关联度分析,以期对黄淮海区域夏玉米种植区有所参考。
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| 关 键 词： | 枣庄市 夏玉米 产量 气象因子 灰色关联度分析 |
| 收稿时间： | 2019-10-31 |
Grey Correlation Analysis of Summer Corn Yield and Main Meteorological Factors |
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| Yang Ning,Kong Linggang,Zhen Tiejun,Xia Zhenzhen,Yang Hui,Wang Luocai,Zheng Guoxi.Grey Correlation Analysis of Summer Corn Yield and Main Meteorological Factors[J].Journal of Agriculture,2020,10(11):37-42. |
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| Authors: | Yang Ning Kong Linggang Zhen Tiejun Xia Zhenzhen Yang Hui Wang Luocai Zheng Guoxi |
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| Institution: | Zaozhuang Agricultural and Mechanical Technology Promotion Center, Zaozhuang 277800, Shandong, China |
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| Abstract: | To better analyze the influence of main meteorological factors on summer maize yield, we used grey correlation analysis method to study their grey correlation from 2011 to 2018 in Zaozhuang City, Shandong Province. The results showed that the grey correlation between summer corn yield and major meteorological factors followed an order of September temperature (0.9562) > June to September temperature (0.9449) > June temperature (0.9312) > July temperature (0.9283) > August temperature (0.9157) > June to September light hours (0.8578) > July light hours (0.8393) > September light hours (0.8283) > June light hours (0.8212) > August light hours (0.7803) > June to September precipitation (0.7623) > September precipitation (0.6783) > August precipitation (0.6239) > June precipitation (0.5842) > July precipitation (0.5409). The temperature was the main factor, followed by light hours, and then was the precipitation. By analyzing the grey correlation degree between summer maize yield and main meteorological factors, the study could provide certain references for summer maize planting areas in huang-huai-hai region. |
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| Keywords: | Zaozhuang City Summer Corn Yield Meteorological Factors Grey Relativity Analysis |
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