2019年第12期 农学与生物技术

  • 灰色关联理论和回归分析在气象因子对春花生产量影响中的应用——以安徽省固镇县为例
  • Application of Grey Correlation Theory and Regression Analysis in Influence of Meteorological Factors on Spring Peanut Yield:Taking Guzhen Country of Anhui Province as an Example
  • 作者
  • 单位
  • 陈晓龙
  • 怀远县气象局,安徽 怀远233400
  • 吴文春
  • 怀远县地震局,安徽 怀远233400
  • 张文斌
  • 怀远县气象局,安徽 怀远233400
  • 摘要:为了探讨影响安徽省固镇县花生产量的气象因素,基于灰色关联度分析法和多元线性回归分析法分析固镇县春花生产量和气象因子的依存关系,结果表明:4—6月以及9月降水量、生育期降水日数是影响春花生产量的主要因素,气温因素已不是限制春花生产量的主要因子。计算得出多元线性回归方程,且各自变量的系数通过了显著性检验。今后在春花生种植中,应更加重视降水的影响,合理进行田间水分管理。
  • 关键词:气温;降水;春花生单产;灰色关联理论
  • 基金项目:安徽省气象局硕博士工作启动经费项目(项目编号:RC201711);蚌埠市气象局科研项目(项目编号:BQKY201602)
  • Abstract:In order to investigate meteorological factors affecting peanut yield in Guzhen,dependence of spring peanut yield and meteorological factors in Guzhen were analyzed based on grey correlation analysis method and multiple linear regression analysis.Results showed that precipitation in April,May,June,September,during growth period were the main factors affecting yield of spring peanuts.Temperature factor was not the main factor limiting yield of spring peanuts.Multiple linear regression equations were calculated and the coefficients of respective variables passed the significance test.In the future,in the cultivation of spring peanuts,more attention should be paid to impact of precipitation and reasonable management of field water.
  • Key words:temperature,precipitation,yield of spring peanut,grey correlation theory

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