浙江农业学报 ›› 2025, Vol. 37 ›› Issue (4): 754-766.DOI: 10.3969/j.issn.1004-1524.20240035

• 作物科学 • 上一篇    下一篇

基于层次分析法与模糊综合评价法的衢州鲜食大豆低聚糖种质资源评价研究

许竹溦(), 雷俊, 邵晓伟, 陈润兴, 姜欢, 汪寿根, 余文慧*()   

  1. 衢州市农业林业科学研究院,浙江 衢州324003
  • 收稿日期:2024-01-03 出版日期:2025-04-25 发布日期:2025-05-09
  • 作者简介:许竹溦(1994—),女,浙江衢州人,硕士,农艺师,主要从事大豆良种选育与栽培技术研究。E-mail:1594283255@qq.com
  • 通讯作者: *余文慧,E-mail: 354226027@qq.com
  • 基金资助:
    “十四五”农业新品种选育重大科技专项(2021C02064-5-1);浙江省基础公益研究计划项目(LGN22C130007)

Evaluation of Quzhou fresh soybean oligosaccharide germplasm resources based on analytic hierarchy process and fuzzy comprehensive evaluation method

XU Zhuwei(), LEI Jun, SHAO Xiaowei, CHEN Runxing, JIANG Huan, WANG Shougen, YU Wenhui*()   

  1. Quzhou Academy of Agricultural and Forestry Sciences, Quzhou 324003, Zhejiang, China
  • Received:2024-01-03 Online:2025-04-25 Published:2025-05-09

摘要: 本研究以衢州34份核心鲜食大豆种质为试验材料,对低聚糖含量进行描述性统计分析,构造频数分布图。为筛选优异鲜食大豆低聚糖种质资源,采用层次分析法,基于选定的性状指标,结合相关性分析与逐步回归分析,构建鲜食大豆低聚糖种质资源的评价体系。结果表明,蔗糖、水苏糖、棉子糖和低聚糖含量均符合正态分布,但蔗糖含量的分布具有一定负偏性,低聚糖含量存在少量极端值,上述4项指标的变异系数均在11.00%以下,离散程度低。应用层次分析法,将选定的16项指标划分为对农艺性状、产量性状和品质性状3大类,其中,产量性状的权重值最大(0.443 4),其次为品质性状(0.387 4)和农艺性状(0.169 2)。在16项指标中,低聚糖含量的权重值最大(0.171 8),其次为蔗糖含量、百粒鲜重、有效分枝数和每荚粒数。依照测定的综合得分,将供试种质资源划分为4个等级,Ⅰ级的包括0715F1、0513I2、0716F1、1213B3、1007C2和衢鲜1号,其中,0715F1农艺性状和产量性状得分均最高,分别为0.596 6 和1.451 4,1007C2的品质性状得分最高,为1.407 3。本文将鲜食大豆的品质性状、农艺性状和产量性状结合分析,可为杂交育种获得低聚糖品质结构优化的鲜食大豆新品种提供筛选依据。

关键词: 鲜食大豆, 低聚糖, 逐步回归法, 层次分析法, 评价体系

Abstract:

This study used 34 core fresh soybean germplasm samples from Quzhou as experimental materials to conduct descriptive statistical analysis of oligosaccharide content and construct frequency distribution maps. To screen excellent fresh soybean oligosaccharide varieties, the analytic hierarchy process (AHP) was used to construct an evaluation system for fresh soybean oligosaccharide germplasm resources from the selected indexes, combined with correlation analysis and stepwise regression analysis. The results showed that the coefficient of variation of sucrose, stachyose, raffinose, and oligosaccharides content was below 11.00%, with a small degree of dispersion. These four indicators followed a normal distribution, yet the distribution of sucrose content had a certain negative bias, and there were a small number of extreme values in oligosaccharide content. By AHP method, the 16 selected indexes were classfied into agronomic traits, yield traits and quality traits. Among them, the yield trats exhibited the highest weight of 0.443 4, and was followed by quality traits (0.387 4) and agronomic traits (0.169 2). Within the 16 selected indexes, the oligosaccharides content showed the highest weight of 0.171 8, which was followed by sucrose content, hundred-grain fresh weight, effecttive branching number and each pod grain number. Based on the the final score, the test materials were divided into four levels, with Level Ⅰ consisting of 0715F1, 0513I2, 0716F1, 1213B3, 1007C2, and Quxian No.1. Among them, 0715F1 had the highest agronomic traits score and yield traits score of 0.596 6 and 1.451 4, respectively, and 1007C2 had the highest quality traits score of 1.407 3. This study combined the analysis of soybean quality traits, agronomic traits and yield traits, providing a screening basis for obtaining new soybean varieties with optimized oligosaccharide quality structure through hybrid breeding.

Key words: fresh soybean, oligosaccharide, stepwise regression method, AHP, evaluation system

中图分类号: