寒地水稻产量性状相关及聚类分析  

Correlation and Cluster Analysis for Yield Properties of Early-japonica Rice in Cold Area

作　　者：冯永祥[1] 刘沐江 汪秀志[3] 吕彦东 郑桂萍[3] 钱永德[3] 刘光雷 

机构地区：[1]黑龙江省农业科学院耕作栽培研究所,黑龙江哈尔滨150086 [2]黑龙江鹤岗市宝泉岭二九O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

出　　处：《安徽农业科学》2008年第23期9925-9928,共4页Journal of Anhui Agricultural Sciences

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。[ 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.

关 键 词：超高产育种 相关分析 主成分分析 聚类分析 

分 类 号：S511[农业科学—作物学]