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寒地水稻产量性状相关及聚类分析
引用本文:冯永祥,刘沐江,汪秀志,吕彦东,郑桂萍,钱永德,刘光雷.寒地水稻产量性状相关及聚类分析[J].安徽农业科学,2008,36(23).
作者姓名:冯永祥  刘沐江  汪秀志  吕彦东  郑桂萍  钱永德  刘光雷
作者单位:1. 黑龙江省农业科学院耕作栽培研究所,黑龙江哈尔滨,150086;黑龙江八一农垦大学,黑龙江大庆,163319
2. 黑龙江鹤岗市宝泉岭二九0分场16队,黑龙江鹤岗,156202
3. 黑龙江八一农垦大学,黑龙江大庆,163319
摘    要:目的]探究影响水稻超高产育种的相关性状。方法]应用表型主成分分析法,对黑龙江省20个水稻品种9个产量相关性状进行了相关和聚类分析。结果]水稻产量相关性状间存在着错综复杂的相关关系。在6个影响水稻产量的主因子中,功能叶因子和产量因子对水稻产量的累积贡献率为96.56%;20个水稻品种被归为3类,显示出遗传距离较近、遗传基础狭窄的特点。结论]水稻超高产育种中应注意剑叶叶面积和结实率、千粒重的选择。

关 键 词:超高产育种  相关分析  主成分分析  聚类分析

Correlation and Cluster Analysis for Yield Properties of Early-japonica Rice in Cold Area
FENG Yong-xiang et al.Correlation and Cluster Analysis for Yield Properties of Early-japonica Rice in Cold Area[J].Journal of Anhui Agricultural Sciences,2008,36(23).
Authors:FENG Yong-xiang
Abstract:Objective] The research aimed to study correlated traits in rice super high yield breeding.Method] Nine yield properties of 20 varieties from Heilongjiang provincial rice regional trial were analyzed with the method of correlation and cluster analysis.Result] There was a complex relationship among yield properties.Six principal component factors affecting yield were selected.The cumulative contribution rate of factor of function leaf and factor of yield was 96.56 %.Twenty varieties could be classified into three groups according to genetic distance,showing near genetic distance and narrow genetic basis.Conclusion] Leaf area of the flag leaf,rate of seed and 1 000 grains weight should be particularly considered in rice super high yield breeding.
Keywords:Super high yield breeding  Correlation analysis  Principal component analysis  Cluster analysis
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