浙江农业学报 ›› 2026, Vol. 38 ›› Issue (6): 1177-1186.DOI: 10.3969/j.issn.1004-1524.20250640

• 作物科学 • 上一篇    下一篇

45份小豆种质的综合评价

兰会杰(), 高宏伟, 吉嘉若, 蔡瑞国, 张敏, 林小虎, 杨敏*()   

  1. 河北科技师范学院 农学与生物科技学院, 河北省作物逆境生物学重点实验室, 河北 秦皇岛 066600
  • 收稿日期:2025-10-10 出版日期:2026-06-25 发布日期:2026-07-14
  • 作者简介:兰会杰,研究方向为植物逆境生理。E-mail:17743882703@163.com
  • 通讯作者: *杨敏,E-mail : 86553117@163.com
  • 基金资助:
    河北省现代农业产业技术体系创新团队(杂粮杂豆)项目(HBCT2024070405)

Comprehensive evaluation of 45 adzuki bean germplasms

LAN Huijie(), GAO Hongwei, JI Jiaruo, CAI Ruiguo, ZHANG Min, LIN Xiaohu, YANG Min*()   

  1. Hebei Key Laboratory of Crop Stress Biology, College of Agronomy and Biotechnology, Hebei Normal University of Science and Technology, Qinhuangdao 066600, Hebei, China
  • Received:2025-10-10 Published:2026-06-25 Online:2026-07-14

摘要:

小豆作为我国重要的传统杂粮作物,兼具农业经济与营养健康价值,但其主产区面临种质退化、抗逆性衰退与品质性状分离等瓶颈问题。本研究以45份小豆种质资源为材料,系统测定其农艺性状及淀粉、粗蛋白含量,构建基于熵权法的改进隶属函数模型(EWM-UMF),并结合主成分分析(PCA)、判别函数分析(DFA)和层次聚类分析(HCA)解析性状关联网络,得出种质综合系数。结果表明:单株荚数和单株粒数的变异系数最高,分别为30.16%和28.03%,粗蛋白含量的变异系数最小,为4.27%;主成分分析提取3个主成分,分别表征产量构成因子、籽粒大小与分枝特性、植株形态,累计方差贡献率为69.860%;系统聚类分析将种质划分为3个类群,其中第Ⅰ类群为2份低产型种质,第Ⅱ类群为4份高产型种质,第Ⅲ类群为39份中产大粒高淀粉型种质。通过隶属函数综合评价,筛选出A35、A40、A39、A11和A13共5份优级种质。逐步回归分析表明,株高、茎粗、分枝数、单株荚数、单株粒数、单株籽粒产量和粗蛋白含量为关键评价指标。本研究创新性整合多维度统计方法,形成层级式评价体系,可为小豆种质资源评价与筛选提供理论依据与实践指导。

关键词: 小豆, 种质资源, 主成分分析, 聚类分析, 综合评价

Abstract:

As an important traditional coarse cereal crop in China, adzuki bean (Vigna angularis) holds significant value in both agricultural economy and nutritional health. However, the main production areas are facing bottleneck problems such as germplasm degradation, declining stress resistance, and separation of quality traits. In this study, 45 adzuki bean germplasm resources were used as materials to systematically determine agronomic traits and starch and crude protein contents. An improved membership function model based on the entropy weight method (EWM-UMF) was constructed, and principal component analysis (PCA), discriminant function analysis (DFA), and hierarchical cluster analysis (HCA) were combined to analyze the trait association network, yielding comprehensive coefficients of the germplasms. The results showed that the coefficients of variation for pods per plant and seeds per plant were the highest, at 30.16% and 28.03%, respectively, while that for crude protein content was the lowest, at 4.27%. Principal component analysis extracted three principal components, representing yield component factors, seed size and branching characteristics, and plant morphology, with a cumulative variance contribution rate of 69.860%. Hierarchical cluster analysis divided the germplasms into three groups: Group Ⅰ consisted of 2 low-yield germplasms, Group Ⅱ consisted of 4 high-yield germplasms, and Group Ⅲ consisted of 39 medium-yield, large-seed, high-starch germplasms. Through comprehensive evaluation based on the membership function, five elite germplasms (A35, A40, A39, A11, and A13) were selected. Stepwise regression analysis indicated that plant height, stem diameter, branch number, pods per plant, seeds per plant, seed yield per plant, and crude protein content were key evaluation indicators. This study innovatively integrates multi-dimensional statistical methods to form a hierarchical evaluation system, providing a theoretical basis and practical guidance for the evaluation and selection of adzuki bean germplasm resources.

Key words: adzuki bean, germplasm resource, principal component analysis, cluster analysis, comprehensive evaluation

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