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大豆植株性状相关性与产量回归分析
引用本文:韩秉进,潘相文,金 剑,王光华,刘长江,刘晓冰.大豆植株性状相关性与产量回归分析[J].中国生态农业学报,2008,16(6):1429-1433.
作者姓名:韩秉进  潘相文  金 剑  王光华  刘长江  刘晓冰
作者单位:中国科学院东北地理与农业生态研究所,黑土生态重点实验室,哈尔滨,150081
基金项目:江省重点科技攻关课题 , 中国科学院前沿领域研究基金  
摘    要:本文利用3个大豆品种、4种施肥模式条件下,植株产生的17个形态指标及产量差异,进行相关性分析与产量回归分析。结果表明,株高x1、分枝数x5、1粒荚数x9、2粒荚数x10、3粒荚数x11、4粒荚数x12、百粒重x15、经济系数x16等8个大豆植株性状因子对产量有显著性影响;由标准化回归系数得知,对产量作用的大小顺序为:x11>x12>x9>x10>x16>x15>x1>x5。说明提高大豆产量首先要考虑增加有效荚数,其次是提高经济系数,而增加百粒重和株高对于增产的效应较小。育种上需加强生物量大、3粒荚和4粒荚数多、结荚节位低的性状选择;栽培上需注重促进生物量生长、降低结荚节位的促控措施。

关 键 词:大豆  植株性状  相关性  产量回归
收稿时间:2007/9/19 0:00:00
修稿时间:2007/12/30 0:00:00

Correlation and regression analysis of trait and yield of soybean
HAN Bing-Jin,PAN Xiang-Wen,JIN Jian,WANG Guang-Hu,LIU Chang-Jiang and LIU Xiao-Bing.Correlation and regression analysis of trait and yield of soybean[J].Chinese Journal of Eco-Agriculture,2008,16(6):1429-1433.
Authors:HAN Bing-Jin  PAN Xiang-Wen  JIN Jian  WANG Guang-Hu  LIU Chang-Jiang and LIU Xiao-Bing
Institution:Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China;Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China;Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China;Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China;Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China;Key Laboratory for Black Soil Ecology, Northeast Institute of Geography and Agro ecology, Chinese Academy of Sciences, Harbin 150081, China
Abstract:Correlation and regression analyses were performed based on variations in 17 morphological traits and yield obtained from field experiments on three soybean varieties with four fertilization modes.Results show that eight morphological traits including plant height(x1),branch number(x5),uni-grain pod(x9),di-grain pod(x10),tri-grain pod(x11),tetra-grain pod(x12),100-grain weight(x15) and economic coefficient(x16) have significant impact on yield with relative effects(from standard regression coefficient) in the following order: x11 > x12 >x9 > x10 > x16 > x15 > x1>x5.Enhancing effective pod number is an important first step for improving soybean yield,followed by improving economic coefficient.In comparison,increasing 100-grain weight and plant height are less significant for improving yield.Selection of traits with high biomass,more tri-grain pod,tetra-grain pod and low podding node site should be emphasized in breeding and developing regulation measures to enhance soybean biomass.Descending podding node site should also be adopted in soybean cultivation.
Keywords:Soybean  Plant trait  Correlation  Yield regression
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