中国农业科学 ›› 2012, Vol. 45 ›› Issue (12): 2431-2437.doi: 10.3864/j.issn.0578-1752.2012.12.011

• 园艺 • 上一篇    下一篇

生姜农艺性状与产量形成关系的多重分析

 李秀, 徐坤, 巩彪, 曹逼力, 王忠宾   

  1. 山东农业大学园艺科学与工程学院/作物生物学国家重点实验室/农业部黄淮地区园艺作物生物学与种质创制重点实验室, 山东泰安271018
  • 收稿日期:2011-12-23 出版日期:2012-06-15 发布日期:2012-04-27
  • 通讯作者: 通信作者徐 坤,Tel:0538-8241783;E-mail:xukun@sdau.edu.cn
  • 作者简介:李 秀,E-mail:lxgb_323@163.com
  • 基金资助:

    国家公益性行业(农业)科技专项(200903018)、山东省农业良种工程(2010LZ006-02)资助

Multiple Analysis of Relationship of Agronomic Traits and Yield Formation in Ginger  

 LI  Xiu, XU  Kun, GONG  Biao, CAO  Bi-Li, WANG  Zhong-Bin   

  1. 山东农业大学园艺科学与工程学院/作物生物学国家重点实验室/农业部黄淮地区园艺作物生物学与种质创制重点实验室, 山东泰安271018
  • Received:2011-12-23 Online:2012-06-15 Published:2012-04-27

摘要: 【目的】研究分析生姜植株农艺性状变异特征,确定构成生姜产量的主要因子,为生姜种质评价与创新提供理论依据。【方法】通过对生姜农艺性状进行相关分析、通径分析、主成分分析及多元线性回归分析,结合生姜生长发育特点,运用统筹分析,明确生姜产量形成的主要决定因子。【结果】生姜主要农艺性状变异系数达11.4%—51.3%,且植株茎粗(0.7934)、茎鲜重(0.7302)、株高(0.6024)、叶鲜重(0.5847)和根鲜重(0.5039)均与产量呈极显著正相关,根茎干物质含量(-0.6155)、分枝数(-0.3680)与产量呈(极)显著负相关;株高、茎粗、根鲜重、茎鲜重、根茎干物质含量是高产型品种形态决定因子,而分枝数、叶片数、姜球数则为低产型品种形态决定因子;多元线性回归分析入选的4个因子对生姜产量模型的决定系数达0.8194。【结论】生姜单株产量的主要决定因子依次为根茎干物质含量(-0.3984)、叶鲜重(0.2866)、茎粗(0.2711)及茎鲜重(0.2624),高产型生姜品种的主要特征为茎秆粗壮、分枝较少、叶片较厚、同化系统发达、根茎干物质含量较低。

关键词: 生姜, 农艺性状, 相关分析, 通径分析, 主成分分析, 回归分析, 产量决定因子

Abstract: 【Objective】 The purpose of this study was to provide academic evidence for germplasm evaluation and innovation of ginger, and identify the primary indexes of yield by investigating the variation of agronomic traits of ginger.【Method】The correlation, path analysis, principal components analysis and multiple linear regression analysis were conducted, whilst integrated the growth status of ginger, and applied critical-path analysis, to identify the primary indexes of ginger yield. 【Result】The results showed that the variation coefficient of agronomic traits of ginger reached 11.4%-51.3%, and the yield had a extremely significant correlation with stem diameter, stem FW, plant height, leaf FW and root FW, but a significant or extremely significant negative correlation with rhizome DM content and branch number. Plant height, stem diameter, root FW, stem FW and rhizome DM content were named as determinative morphological factors of high-yielding varieties, and branch number, leaf number and ginger bulb number were named as determinative morphological factors of low-yielding varieties. The determination coefficient of four factors selected by multiple linear regression analysis to ginger yield model was 0.8194.【Conclusion】The major determining factors of ginger yield were rhizome DM content, leaf FW, stem diameter and stem FW. The high yield varieties had thickest stem, fewer branch number, thicker leaf, developed assimilation system, and lower rhizome DM content.

Key words: ginger(Zingiber officinale Roscoe), agronomic traits, correlation analysis, path analysis, principal components analysis, regression analysis, determining factor of yield