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作 者:史慎奎 王春芳[1] 王冰嵩 栾素荣 祁东梅 王玉芳 姜海红 张温典[1] 李瑞来 孙田田
机构地区:[1]河北民族师范学院生物与食品科学学院,河北 承德 [2]承德市农林科学院,河北 承德 [3]平泉市林业草原局,河北 承德 [4]河北省农业广播电视学校承德县分校,河北 承德
出 处:《农业科学》2022年第9期870-879,共10页Hans Journal of Agricultural Sciences
摘 要:为筛选优良的糜子种质资源,选育高产优质的糜子新品种,本研究运用相关性分析、主成分分析、聚类分析对承德地区搜集到的91份糜子种质资源的抽穗期与产量性状之间的关系进行综合分析。结果表明,糜子的产量性状中单穗粒重变异系数最大,为84.4%,单穗重的变异系数最小,为37.5%。相关性分析中抽穗期与单穗重呈正相关,与单穗粒重不相关,与千粒重呈负相关。主成分分析将4个性状简化为3个因子,累积贡献率达92.439%。聚类分析在遗传距离10.0处将91份糜子种质资源分为2个类群,第I类群在遗传距离5.0处又可分为3个类群;得出抽穗期在64 d~67 d的范围内的糜子产量性状较高。In order to screen excellent proso millet germplasm resources and breed new varieties of proso millet with high yield and good quality, correlation analysis, principal component analysis and cluster analysis were used to comprehensively analyze the relationship of the heading date and yield traits of 91 proso millet germplasm resources in Chengde area. The results showed that the variation coefficient of grain weight per panicle was the highest (84.4%), and that of grain weight per panicle was the lowest (37.5%). In correlation analysis, heading date was positively correlated with single panicle weight, but not with grain weight per panicle, but negatively correlated with 1000-grain weight. Principal component analysis simplified the four traits into three factors, and the cumulative contribution rate reached 92.439%. Cluster analysis showed that 91 proso millet germplasm resources were divided into two groups at genetic distance 10.0, and the first group was divided into three groups at genetic distance 5.0. The results showed that the comprehensive yield of proso millet was higher in the range of 64 d to 67 d heading date.
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