江苏徐淮地区徐州农业科学研究所,徐州 221131
研究方向为大豆遗传育种与资源利用,E-mail: 1040053758@qq.com
王 幸,研究方向为大豆遗传育种与栽培技术,E-mail: sxwangxing@126.com
国家大豆产业技术体系(CARS-04-CES19);徐州市农业科学院科研基金(JC2024002)
Xuzhou Institute of Agricultural Sciences in the Xuhuai Region of Jiangsu Province, Xuzhou 221131
Foundation projects: China Agriculture Research System of Soybean (CARS-04-CES19); Xuzhou Academy of Agricultural Sciences Research Fund (JC2024002)
大豆作为全球重要的粮油作物,其种质资源遗传多样性的研究对育种工作至关重要。以2205份国内外大豆种质资源为研究对象,通过连续3年的田间试验,系统分析20个表型性状的遗传多样性与变异规律,并进行综合评价。结果表明,质量性状变异系数范围为12.30%~64.35%,其中粒色变异最大;荚色、脐色、倒伏性的遗传多样性较为丰富(遗传多样性指数>1)。数量性状变异系数范围为5.18%~52.67%,其中蛋白质含量、脂肪含量和生育天数变异较小,性状遗传较为稳定;有效分枝数、单株粒数、底荚高度、有效荚数变异丰富。数量性状的遗传多样性指数均表现较高,范围在1.89~2.09,呈现丰富的表型遗传多样性。相关性分析表明,多个重要性状间存在显著或极显著相关性,但质量性状与多数数量性状间相关性较弱。聚类分析将供试材料划分为4个类群,第I类高蛋白、抗倒伏性强;第II类早熟矮秆;第III类高产、生育期长;第IV类高产、高蛋白、粒色丰富,但抗倒伏性弱。主成分分析提取7个主成分,累计贡献率73.51%,前3个主成分涵盖生育期与产量形成、产量与品质、种子特征与产量相关性状。基于隶属函数和主成分权重构建2205份种质的综合评分(F值),根据F值筛选出综合表现最优的前50份种质,其中49份属于第IV类群,1份种质属于第II类群。F值与除叶形、荚色外的多数性状呈显著或极显著相关,验证了其作为综合评价指标的有效性。本研究系统解析了2205份大豆种质资源的表型遗传多样性,明确了各类群资源的育种利用方向,构建的综合评价模型为高效筛选核心优异种质资源、定向培育满足不同需求的大豆新品种提供了重要的理论基础。
Soybean is a crucial global grain and oilseed crop, and research on the genetic diversity of its germplasm resources is vital for breeding programs. This study evaluated 2205 soybean germplasm accessions of domestic and foreign origins. Through three consecutive years of field trials, we systematically analyzed the genetic diversity and variation patterns of 20 phenotypic traits and conducted a comprehensive evaluation. The results revealed that the coefficients of variation (CV) for qualitative traits ranged from 12.30% to 64.35%, with seed color showing the highest variation. Mature pod color, hilum color, and lodging resistance exhibited rich genetic diversity (diversity index>1). For quantitative traits, the CV ranged from 5.18% to 52.67%. Protein content, oil content, and days to maturity showed minimal variation, indicating relatively stable inheritance, while the number of productive branches, seeds number per plant, bottom pod height, and number of effective pods displayed abundant variation. The genetic diversity indices for quantitative traits were uniformly high, ranging from 1.89 to 2.09, indicating rich phenotypic genetic diversity. Correlation analysis revealed significant or highly significant correlations among several key traits, but correlations between qualitative traits and most quantitative traits were weak. Cluster analysis categorized the accessions into four distinct groups: Group I features high protein content and strong lodging resistance; Group II is characterized by early maturity and short stature; Group III has high yield and a long growth period; and Group IV exhibits high yield, high protein, diverse seed coat colors, but weak lodging resistance. Principal component analysis (PCA) extracted seven principal components, collectively explaining 73.51% of the total variance. The first three principal components were associated with growth duration and yield formation, yield and quality, and seed characteristics, respectively. A comprehensive evaluation score (F-value) for the 2205 germplasms was developed based on membership function and PCA-derived weights. Screening based on the F-value identified the top 50 comprehensively superior germplasms, of which 49 belonged to Group IV and one to Group II. The F-value showed significant or highly significant correlations with most traits, except leaf shape and mature pod color, verifying its effectiveness as a comprehensive evaluation index. This study systematically deciphers the phenotypic genetic diversity of 2205 soybean germplasm resources, clarifies the breeding utilization directions for different groups, and establishes a comprehensive evaluation model that provides a significant theoretical foundation for efficiently screening core elite germplasm and directionally breeding new soybean varieties to meet diverse needs.
李思梦,王好让,晋彤彤,等.大豆种质资源表型遗传多样性分析及综合评价[J].植物遗传资源学报,2026,27(2):304-317.
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