摘要
青稞是青藏高原地区极具经济与生态价值的农作物,构建基于营养品质的核心种质资源库,对于推动青稞种质遗传改良与资源高效利用具有重要意义。本研究选取286份青稞种质资源,基于总黄酮含量等15个品质性状,结合2种遗传距离、3种取样方法、7种取样比例、8种聚类方法的多维组合策略,构建青稞核心种质子集。通过对比各种质子集的均值差异率、方差差异率、极差符合率和变异系数变化率,以均值差异率小于20%,且方差差异率、极差符合率和变异系数变化率越大越好的原则,筛选出构建青稞核心种质的最优取样策略为欧式距离、多次聚类偏离度取样法、10%取样比例、最短距离法,构建了含有28份基于营养品质性状的青稞核心种质库。进一步分析原始种质与所筛选的核心种质在15种营养品质性状上的关键统计参数,包括均值、方差、极差、变异系数和多样性指数,通过主成分分析和聚类分析验证了采用此方法所构建核心种质的代表性。结果表明,核心种质的15个营养品质性状均值与原始种质均无显著差异,各性状的方差均不低于原始种质;核心种质的平均多样性指数符合率达到93.12%;通过主成分检验,核心种质累计贡献率为82.04%,原始种质累计贡献率为64.34%;通过聚类分析将28份核心种质划分为五个类群。本研究构建的核心种质具有较强的异质性,在较好保留原始种质的大部分遗传信息的同时能有效代表原始种质,可用于青稞营养品质研究,促进种质资源高效利用。
Hulless barley is a crop of significant economic and ecological value in the Qinghai-Tibet Plateau.Establishing a core germplasm resource bank based on its nutritional quality is crucial for promoting genetic improvement and the efficient utilization of hulless barley germplasm resources.In this study,a total of 286 hulless barley germplasm resources were selected,and a core germplasm subset was constructed based on 15 quality traits,including total flavonoid content.A multidimensional combination strategy was employed,incorporating two genetic distances,three sampling methods,seven sampling ratios,and eight clustering methods.By comparing the mean difference percentage,variance difference percentage,range conformity rate,and coefficient of variation change rate for various subsets,the most optimal sampling strategy for constructing the hulless barley core germplasm was identified.This strategy involved Euclidean distance,a multiple clustering deviation sampling method,a 10%sampling ratio,and the shortest distance method.This resulted in the establishment of a core germplasm bank consisting of 28 hulless barley germplasms based on nutritional quality traits.To validate the representativeness of the constructed core germplasm,key statistical parameters,including the mean,variance,range,coefficient of variation,diversity index,principal component analysis,and clustering analysis,were analyzed for both the original germplasm and the selected core germplasm across the 15 nutritional quality traits.The results showed no significant difference in the mean values of the 15 nutritional quality traits between the core and original germplasm.Moreover,the variance of each trait in the core germplasm was not lower than that of the original germplasm.The average diversity index conformity rate for the core germplasm reached 93.12%.Principal component analysis revealed that the cumulative contribution rate of the core germplasm was 82.04%,compared to 64.34%for the original germplasm.Cluster analysis further classified the 28 core germplasms into five distinct groups.The findings indicate that the core germplasm constructed in this study exhibits significant heterogeneity.It effectively retains most of the genetic information of the original germplasm while also representing the original germplasm adequately.This core germplasm can be utilized for further research on the nutritional quality of hulless barley and will contribute to the efficient use of germplasm resources.
作者
卢露
徐金青
王蕾
甘雅文
王寒冬
陈同睿
边海燕
王一航
唐有林
尤恩
扎西罗布
沈裕虎
LU Lu;XU Jinqing;WANG Lei;GAN Yawen;WANG Handong;CHEN Tongrui;BIAN Haiyan;WANG Yihang;TANG Youlin;YOU En;ZHAXI Luobu;SHEN Yuhu(Key Laboratory of Adaptation and Evolution of Plateau Biota/Qinghai Province Key Laboratory of Crop Molecular Breeding/Laboratory for Research and Utilization of Qinghai-Tibetan Plateau Germplasm Resources,Northwest Institute of Plateau Biology,Chinese Academy of Sciences,Xining,Qinghai 810008,China;College of Life Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;Xizang Academy of Agriculture and Animal Hasbandry Science,Lhasa,Xizang 850032,China)
出处
《麦类作物学报》
北大核心
2026年第3期321-330,共10页
Journal of Triticeae Crops
基金
国家自然科学基金联合基金区域创新发展联合基金项目(U22A20453)
国家自然科学基金面上项目(32171958)
青海省重点研发与转化计划项目-科技成果转化专项项目(2023-NK-101)
青海省重大科技专项(2023-SF-A5)
国家重点研发计划部省联动项目(2022YFD2301301)
中国科学院青海省人民政府三江源国家公园联合专项(LHZX-2022-03)。
关键词
青稞
营养品质性状
核心种质
种质资源
Hulless barley
Nutritional quality traits
Core germplasm
Germplasm resources
