中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 波斯小麦农艺性状相关性及主成分分析 麦类作物学报 2006,26 (4) 11-14
Position: Home > Articles > Correlation and Principle Component Analysis in Agronomic Traits of Triticum carthlicum Nevski Journal of Triticeae Crops 2006,26 (4) 11-14

波斯小麦农艺性状相关性及主成分分析

作  者：
庄萍萍;李伟;魏育明;颜泽洪;郑有良
单  位：
四川农业大学小麦研究所
关键词：
波斯小麦;农艺性状;相关分析;主成分分析
摘  要：
为从波斯小麦中发掘优异基因资源,拓宽小麦遗传基础,对来自15个国家(地区)的81份波斯小麦进行了农艺性状相关分析和主成分分析。结果表明,供试材料总体表现为植株高大,平均为110.0 cm;有效穗数平均为12.6个;穗粒数较多,平均为42.4粒;播种至抽穗平均为185.5 d;千粒重偏低,平均为17.3g。简单和偏相关分析中分别有16和12对性状相关极显著。其中分蘖数与有效穗数、穗长、小穗数,有效穗数与穗长、小穗数,穗长与小穗数,小穗数与千粒重,抽穗期与穗粒数间相关和偏相关系数均达极显著水平。主成分分析表明,前四个主成分(分蘖因子、粒重因子、穗粒数因子、抽穗期因子)对变异的贡献率达85.61%。
译  名：
Correlation and Principle Component Analysis in Agronomic Traits of Triticum carthlicum Nevski
作  者：
ZHUANG Ping-ping~1,LI Wei~(1,2,3),WEI Yu-ming~(1,2),YAN Ze-hong~(1,2),ZHENG You-liang~(1,2)(1.Triticeae Research Institute,Sichuan Agricultural University,Dujiangyan,Sichuan 611830,China;2.Ministry of Education Key Laboratory for Crop Genetic Resources and Improvement in Southwest China,Sichuan Agricultural University,Ya'an,Sichuan 625014,China;3.Agronomy College,Sichuan Agricultural University Ya'an,Sichuan 625014,China)
关键词：
Triticum carthlicum Nevski;Agronomic traits;Correlation analysis;Principle component analysis
摘  要：
Eighty-one accessions of T.carthlicum Nevski from 15 countries(districts) were tested by correlation and principle component analysis.The results showed that,on the average,all materials were with the plant height of some high,110.0 centimetres,and the number of pruductive panicles was 12.6,the spikelet number was 42.4,the heading date was 185.5 days,and the 1000-grain weight was some low,17.3 g.The result based on correlation analysis indicated that there were 16 and 12 pairs of characters with significant correlations in simple and partial correlation analysis,respectively.According to principle component analysis,the first four main component(till factor,grain weight factor,spikelet number factor,heading date factor) made the contribution of 85.61% to variation.

相似文章

导出引用
计量
文章访问数: 8
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46