普通小麦品种主要性状的灰色关联度和相关性分析  

Grey correlative degree and correlation analysis on agronomic characters of wheat

作　　者：蔡健[1] 沈芬[1] 

机构地区：[1]阜阳师范学院生命科学学院,安徽阜阳236041

出　　处：《阜阳师范学院学报（自然科学版）》2012年第2期34-38,共5页Journal of Fuyang Normal University(Natural Science)

基　　金：安徽省高校自然科学基金项目(KJ2010B155)资助

摘　　要：运用相关分析和灰色关联分析法,对20份皖北小麦主栽品种进行遗传性状分析,以探讨品种产量影响因素之间的相互关系,旨在为小麦的遗传改良与育种利用提供依据。结果表明,各农艺性状与产量的灰色关联度大小顺序为:千粒重,小穗数,小穗粒数,粒宽,小穗密度,粒长,穗长,株高,分蘖数和护颖长短。其中千粒重、小穗数和小穗粒数是制约产量的最大因素;粒宽、小穗密度、粒长、穗长、株高、分蘖数和护颖长对产量制约力依次变小。因此,高产育种时,宜考虑选择有效穗数、穗粒数和千粒重高的小麦品种。The present study is carried out with tile objective to analyze the relationship among the yield factors of 20 north Anhui wheat main cuhivars using the methods of grey correlative degree and correlation analysis. The results indicate that the in- creasing order of revelant grade between agronomic traits and grain yield is 1000-grain weight, spikelets number, grain number per spike, grain width, spikelet density, grain length, spike length, plant height, tiller number and husk length. The factors, such as 1000-grain weight, spikelets number and spikelets number per spike, displayed important role for contributing to yield enhance- ment, whereas the relationship between agronomic traits and yield shows well harmonized. Therefore, the varieties with higher spike number per plant, higher grain number per spike or higher 1000-grain weight are regarded as to be utilized in an active high yield wheat breeding program.

关 键 词：小麦 农艺性状 相关分析 灰色关联度 

分 类 号：S512.1[农业科学—作物学]