大麦农艺性状与SSR标记的关联分析

为了解大麦亲本材料遗传特性和主要农艺性状特征,采用156份不同来源的大麦材料,在86个多态性SSR位点上检测遗传多样性,同时对7个农艺性状在两试验点作表型鉴定,利用GLM和MLM模型进行分子标记与表型性状的关联分析。结果共检测出392个等位变异,平均每个标记4.6个,PIC值变异范围为0.0612~0.8560。群体遗传结构分析将156份材料分为2个亚群。利用GLM模型分析结果表明,与株高、穗长、芒长、穗粒数和千粒重5个性状相关联的标记有18个,单个标记对表型变异的解释率为4.81%~20.75%;利用MLM模型分析,与株高、穗长、芒长、分蘖数、穗粒数和千粒重6个性状相关联的标记有14个,单个标记对表型变异的解释率范围为6.64%~31.55%。这些关联标记对后续研究有参考价值。

Association Analysis between SSR Markers and Agronomic Traits in Barley

This study aimed at understanding the population structure of barley parent materials and identifying SSR markers associated with plant height, spike length, awn length, tiller number, effective tiller number, grain number per spike and thousand-grain weight. A total of 392 alleles were identified in 156 accessions using 86 polymorphic SSR markers with an average of 4.6 alleles per locus. The polymorphic information content ranged from 0.0612 to 0.8560. The 156 genotypes were divided into two populations according to structure analysis with SSR data. Eighteen markers were found to be associated with plant height, spike length, awn length, grain number per spike and thousand-grain weight using GLM (General Linear Model), and the phenotypic variation explained by a single marker ranged from 4.81% to 20.75%. Fourteen markers were found to be associated with plant height, spike length, awn length, effective tiller number, grain number per spike and thousand-grain weight using MLM(Mixed Linear Model), and the phenotypic variation explained by a single marker ranged from 6.64% to 31.55%. These associated markers provide a basis for future research.