草地学报

草地学报 ›› 2024, Vol. 32 ›› Issue (4): 1131-1141.DOI: 10.11733/j.issn.1007-0435.2024.04.016

• 研究论文 • 上一篇    

紫花苜蓿种子耐贮藏性综合评价及关键指标筛选

吕艳贞1,2,3, 聂宇婷1,2,3, 张昭1,2,3, 崔凯伦1,2,3, 闫慧芳1,2,3   

  1. 1. 青岛农业大学草业学院, 山东 青岛 266109;
    2. 黄河三角洲草地资源与生态国家林业和草原局重点实验室, 山东 青岛 266109;
    3. 青岛市滩涂盐碱地特色植物种质创制与利用重点实验室, 山东 青岛 266109
  • 收稿日期:2023-12-08 修回日期:2024-01-04 发布日期:2024-05-07
  • 通讯作者: 闫慧芳,E-mail:yanhuifang@qau.edu.cn
  • 作者简介:吕艳贞(1999-)，女，汉族，山东泰安人，硕士研究生，主要从事种子活力与抗逆萌发调控机制研究，E-mail：1394734819@qq.com
  • 基金资助:
    山东省自然科学基金青年基金项目(ZR2020QC187)；国家自然科学基金青年基金项目(32301480)资助

Comprehensive Evaluation of Seed Storability of Alfalfa and Screening of Key Indicators

LÜ Yan-zhen1,2,3, NIE Yu-ting1,2,3, ZHANG Zhao1,2,3, CUI Kai-lun1,2,3, YAN Hui-fang1,2,3   

  1. 1. College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong Province 266109, China;
    2. Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao, Shandong Province 266109, China;
    3. Qingdao Key Laboratory of Specialty Plant Germplasm Innovation and Utilization in Saline Soils of Coastal Beach, Qingdao, Shandong Province 266109, China
  • Received:2023-12-08 Revised:2024-01-04 Published:2024-05-07

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摘要： 为探讨紫花苜蓿(Medicago sativa L.)种子耐贮藏性综合评价方法与关键指标，本研究以36个品种紫花苜蓿种子为材料，采用高温高湿人工老化法模拟种子贮藏，测定了老化0 h (对照组)和60 h (处理组)的发芽势、发芽率、苗长、根长等10个种子萌发与幼苗生长指标变化。采用综合耐贮藏系数、主成分分析、隶属函数分析、系统聚类分析等方法进行综合评价，建立逐步回归分析数学模型。结果表明，种子萌发与幼苗生长指标均呈下降趋势，但对老化处理表现出不同程度响应差异。系统聚类分析将紫花苜蓿种子耐贮藏性划分为强、中、弱和极弱4个等级，其中，'三得利’和'公农1号’种子分别属于强耐贮藏性和极弱耐贮藏性等级。根据逐步回归分析模型，发芽势和苗长可作为种子耐贮藏性评价的关键指标。本研究为紫花苜蓿强耐贮藏性种质筛选、关键候选基因挖掘及功能研究奠定理论基础，也为强耐贮藏性新种质创制与利用提供优异亲本材料。

关键词: 紫花苜蓿, 种子活力, 耐贮藏性, 隶属函数, 聚类分析, 综合评价

Abstract: In order to explore the comprehensive evaluation method and key indicators of seed storability of alfalfa (Medicago sativa L.),this study took 36 cultivars of alfalfa seeds as materials and simulated seed storage using artificial aging method of high temperature and high humidity. Changes of ten indicators related to seed germination and early seedling growth characteristics,such as germination energy,germination percentage,shoot length and root length,were measured under aging for 0 h (control group) and 60 h (treatment group). The comprehensive evaluation of seed storability was conducted using methods of comprehensive storage tolerance coefficient,principal component analysis,membership function analysis,and cluster analysis. Meanwhile,a mathematical model was established according to the stepwise regression analysis. The results showed that all indicators related to seed germination and seedling growth characteristics displayed a downward trend after artificial aging treatment,with varying degrees of differences in response to aging. Based on cluster analysis,the seed storability of alfalfa was classified into four levels,namely,strong storability,medium storability,weak storability and extremely weak storability. The seeds of 'Sanditi’ and 'Gongnong No.1’ belonged to the levels of strong storability and extremely weak storability,respectively. Based on the model established by stepwise regression analysis,germination energy and shoot length were selected as the key indicators for evaluating seed storability. This study would lay a theoretical foundation for the screening of alfalfa germplasm with strong storability,the mining of key candidate genes and functional study,as well as provide the excellent parental materials for the creation and utilization of new germplasm with strong storability.

Key words: Alfalfa, Seed vigor, Storability, Membership function, Cluster analysis, Comprehensive evaluation

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