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四川省大豆种质资源表型性状鉴定及综合评价OA北大核心CSTPCD

Phenotypic Identification and Evaluation of Soybean Germplasm Resources in Sichuan Province

中文摘要英文摘要

为有效利用四川大豆种质资源,采用相关性分析、主成分分析和聚类分析等方法对四川省新收集的 216 份大豆种质资源的12 个表型性状进行鉴定和综合评价.结果表明:四川大豆种质资源表型变异丰富,9 个质量性状的遗传多样性指数范围在 0.043~1.596 之间,大豆种子粒色的多样性指数最高(1.596),子叶色的多样性指数最低(0.043).3 个数量性状的多样性指数的分布为2.581~2.812,百粒重的多样性指数最高,为2.812.主成分分析结果表明,6 个主成分因子的累计贡献率达72.85%.216 份大豆种质资源的综合评价D值范围在0.002~0.278 之间.聚类分析将216 份大豆资源划分为4 类,第I类群百粒重最高(31 份),第Ⅱ类群株高最高(52 份),第Ⅲ类群生育期最短(57 份),第Ⅳ类群百粒重较小、株高适宜(76 份).本研究为四川省大豆种质创新利用和大豆新品种选育提供了重要参考.

In order to effectively utilize soybean germplasm resources in Sichuan Province in China.216 soybean germplasm were collected.In this research,12 phenotypic characters of this soybean germplasm resources in Sichuan Province were identified and comprehensively evaluated by correlation analysis,principal component analysis and clustering analysis.Our results showed that the genotypes of soybean collected in Sichuan were rich in genetic diversity.The diversity index of 9 quality traitsrangingfrom0.043 to1.596,whichwas the highest in seed color(1.596)and the lowest in cotyledon color(0.043).3 quantitativetraitsrangingfrom2.581 to2.812,which was the highest in100-seed weight(2.812).Principal component analysis showed that the cumulative contribution rate of the six principal component factors was 72.85%.The comprehensive evaluation D value ranging from 0.002 to 0.278.216 soybean germplasm could be classified into 4 categories by cluster analysis,Cluster Ⅰ showed the best performance in 100-seed weight(31 germplasms).The plant height of cluster Ⅱ was the highest(52 germplasms).Cluster Ⅲ showed the shortest growth period(57 germplasms).The 100-seed weight and plant height of cluster Ⅳ was low(76 germplasms).This study can provide a new reference for the utilization of soybean germplasm and breeding.

范元芳;王娴淑;何芳;吕季娟;陶磊;刘波;郭佳;项超

四川省农业科学院 作物研究所/粮油作物绿色种质创新与遗传改良四川省重点实验室,四川 成都 610066四川省种子站,四川 成都6100442四川省农业机械科学研究院,四川 成都 610066

大豆种质资源表型性状主成分分析综合评价

soybeangermplasm resourcesphenotypingprincipal component analysiscomprehensive evaluation

《大豆科学》 2024 (003)

295-302 / 8

四川省自然科学基金(2023NSFSC1176);四川省农业科学院"1+9揭榜挂帅"项目(1+9KJGG001);四川省财政专项-主要农作物核心种质资源测序及精准鉴定评价(1+3ZYGG001);2022年省级财政农业公共安全与生态资源保护利用工程-农作物种质资源保护项目(51000022T000006931322);第三次全国农作物种质资源普查与收集行动(111821301354052034).

10.11861/j.issn.1000-9841.2024.03.0295

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