基于主成分及聚类分析的黑龙江省水稻产量与品质的综合评价  

Comprehensive Evaluation of Yield and Quality of Rice Based on Principal Component and Cluster Analysis in Heilongjiang Province

作　　者：于秋竹[1,2] 孔宇[1,2] 陈东升[2] 解保胜[2] 徐正进[1] 

机构地区：[1]沈阳农业大学水稻研究所,沈阳110161 [2]黑龙江省农垦科学院,黑龙江佳木斯154007

出　　处：《沈阳农业大学学报》2015年第2期219-224,共6页Journal of Shenyang Agricultural University

基　　金："十二五"农村领域国家科技支撑计划项目(2013BAD07B01;2011BAD16B11);黑龙江省科技攻关项目(GA09B106-2;GA10B102-3);黑龙江省农垦科学院院长基金项目(YZJN2010-01)

摘　　要：为综合评价黑龙江省不同积温条件下水稻品种产量及品质现状,选取32个代表不同积温带的黑龙江省水稻品种,测定产量及构成因素和品质特性等指标,采用主成分分析方法得到供试水稻品种综合评价结果,并进一步进行聚类分析。结果表明:黑龙江省水稻品种产量及构成因素和品质特性中提取14个主成分的累计贡献百分率为88.602%,分别归纳为产量因子、营养品质因子、穗部性状与粒形结合因子和穗部性状及籽粒充实度因子四大模块;龙粳25号、垦稻13、东农425、绥粳9号和龙粳26号为高产优质类品种,此类品种综合得分为0.7294~0.7959,且高产优质的水稻品种多集中在黑龙江省第一积温带和第三积温带。It selected 32 representative different accumulated temperatures of rice varieties in Heilongjiang Province for the accurate evaluation of the yield and quality of rice, though measured the factors for yield and quality characteristics and integrated by principal component analysis method for the comprehensive evaluation of rice in according to clustering analysis.Through the principal component analysis for the yield and quality of rice in Heilongjiang province and reach a conclusion that the cumulative contribution percentage for the first 14 principal components was 88.602%, and induced that the yield factor,quality factor, characters of ear and grain shape binding factor and panicle traits and the grain plumpness factor are four big modules respectively. Combined with the cluster analysis and comprehensive statistical evaluation of results, Longjing25,Kendao13, Dongnong425, Suijing9 and Longjing26 for high yield and high quality varieties, the comprehensive score of such species ranged from 0.7294 to 0.7959, and the high yield and high quality rice varieties are more concentrated in the first and third accumulated temperature zone in Heilongjiang Province.

关 键 词：黑龙江 产量品质 主成分分析 聚类分析 综合评价 

分 类 号：S511[农业科学—作物学]