草业科学2024，Vol.41Issue(6)：1324-1335,12.DOI:10.11829/j.issn.1001-0629.2023-0131
32份早熟禾种质资源表型性状遗传多样性分析
Phenotypic diversity analysis of 32 Poa germplasm resources
摘要
Abstract
In this study,we analyzed the phenotypic diversity of 32 Poa germplasm resources.Diversity,correlation,principal component,and cluster analyses were used to evaluate the variation in phenotypic traits,which provided the basis for the breeding of Poa germplasm resources in the alpine region of the Qinghai-Tibet Plateau.The highest genetic diversity index was for total biomass(H'=2.21),and the highest coefficient of variation was for plant height(31.70％),followed by root length(22.04％),total biomass(19.21％),and stem diameter(16.38％).Through principal component analysis,the contribution rate of the first principal component was found to be 30.274％.The load was the highest for inflorescence length(0.748),followed by leaf area(0.746),leaf width(0.705),and stem diameter(0.704).The resources were divided into three categories based on cluster analysis and comprehensive score.The first category was characterized by tall plants,large stem leaf ratios,more inflorescences,and thick stems.Three germplasms,18-182,18-004,and 17-060,from this category were selected for forage production and mixed grassland.The second category was characterized by short plants and,short and wide leaves,and 14-061 from this category was selected for ecological restoration.The third category was characterized by short plants,long and narrow leaves,and large amounts of biomass.Six germplasms,17-105,17-332,18-064,18-139,15-048,and 17-044 from this category were selected to provide theoretical basis for the good benefit of turf establishment.关键词
早熟禾/种质资源/遗传多样性/表型性状/筛选优质种质/表型变异性/表型多样性Key words
Poa/germplasm/genetic diversity/phenotype/screening high quality germplasm/phenotypic variability/phenotypic diversity引用本文复制引用
金玲,宋美琪,鲍根生,刘勇,徐航,何霖,魏小星..32份早熟禾种质资源表型性状遗传多样性分析[J].草业科学,2024,41(6):1324-1335,12.基金项目
青海省创新平台项目(2021-ZJ-T01) （2021-ZJ-T01）
西部之光计划项目(2021-XBZG-12) （2021-XBZG-12）
青海省"高端创新人才计划"项目(2020-PYBJ-84) （2020-PYBJ-84）
国家自然科学基金项目(31760711) （31760711）
