基于隶属函数法的燕麦苗期耐旱性评价与种质筛选

doi:10.11733/j.issn.1007-0435.2026.06.015

草地学报 ›› 2026, Vol. 34 ›› Issue (6): 2118-2127.DOI: 10.11733/j.issn.1007-0435.2026.06.015

• 研究论文 • 上一篇

基于隶属函数法的燕麦苗期耐旱性评价与种质筛选

刘璋¹, 杨淼², 郭晶瑜², 刘欣悦³, 张卫卫³, 马名川¹, 张笑², 刘龙龙¹

1. 山西农业大学农业基因资源研究中心, 山西太原 030031;
2. 太原师范学院生物科学与技术学院, 山西晋中 030619;
3. 山西农业大学农学院, 山西晋中 030801

收稿日期:2025-09-05 修回日期:2025-11-01 发布日期:2026-06-02
通讯作者: 刘龙龙,E-mail:lllong781211@sina.com;张笑,E-mail:bjfuzhx@163.com
作者简介:刘璋(1986-),男,汉族,内蒙古丰镇人,副研究员,硕士,主要从事燕麦遗传育种及栽培的研究,E-mail:liuzhang162@163.com
基金资助:
山西农业大学科技创新提升工程（CXGC2023097）；国家燕麦荞麦产业技术体系（CARS-07-A-2）；山西省重点研发计划项目（2022ZDYF110）资助

Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method

LIU Zhang¹, YANG Miao², GUO Jing-yu², LIU Xin-yue³, ZHANG Wei-wei³, MA Ming-chuan¹, ZHANG Xiao², LIU Long-long¹

1. Agricultural Gene Resources Research Center, Shanxi Agricultural University, Taiyuan, Shanxi Province 030031, China;
2. College of Biological Science and Technology, Taiyuan Normal University, Jinzhong, Shanxi Province 030619, China;
3. College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi Province 030801, China

Received:2025-09-05 Revised:2025-11-01 Published:2026-06-02

摘要/Abstract

摘要： 华北和西北地区作为我国燕麦（Avena sativa L.）主产区，长期受干旱胁迫制约，导致燕麦产量受损。筛选抗旱种质资源是实现该区域燕麦稳产增效的核心策略。本研究以99个燕麦种质为材料，采用10% PEG-6000溶液模拟干旱条件（以Hoagland溶液为对照），系统测定苗期地上部分与根系共16项生长指标，并基于隶属函数法、主成分分析等分析方法和线性回归模型，综合评价供试材料的抗旱性。结果表明，干旱胁迫下所有性状均呈下降趋势，其中地上部干重、总根长、根尖数和根分叉数对干旱响应尤为敏感。最终，本研究将99份燕麦种质划分为3个抗旱等级，筛选出ZYC-101，ZYC-38，AM-124等10个强耐旱种质，为燕麦抗逆育种提供了理论依据，也为抗旱种质资源的大规模筛选与利用奠定了应用基础。

关键词: 燕麦, 苗期, 耐旱性, 种质评价

Abstract: The North and Northwest regions of China are major oat-producing areas. However o persistent drought stress there leads to significant yield losses of oat production. The identification of drought-resistant germplasm resources is therefore a core strategy for achieving stable and even enhanced oat production in these regions. In this study， 99 oat germplasm accessions were evaluated under simulated drought conditions using a 10% PEG-6000 solution， with Hoagland’s solution serving as the control. A total of 16 growth traits—including both aboveground and root parameters—were systematically measured at the seedling stage. Drought resistance was comprehensively assessed through membership function analysis， principal component analysis， and linear regression modeling. The results revealed a general decline in all measured traits under drought stress， with aboveground dry weight， total root length， root tip number， and root fork number showing particularly high sensitivity. Based on the integrated evaluation， the 99 oat accessions were classified into three drought-resistance categories， and ten highly drought-tolerant lines—including ZYC-101， ZYC-38， and AM-124—were identified. This work not only provides a theoretical foundation for stress-resilient oat breeding but also establishes a practical framework for the large-scale screening and utilization of drought-tolerant germplasm resources.

Key words: Oat, Seedling stage, Drought tolerance, Germplasm evaluation

中图分类号:

Q944

刘璋, 杨淼, 郭晶瑜, 刘欣悦, 张卫卫, 马名川, 张笑, 刘龙龙. 基于隶属函数法的燕麦苗期耐旱性评价与种质筛选[J]. 草地学报, 2026, 34(6): 2118-2127.

LIU Zhang, YANG Miao, GUO Jing-yu, LIU Xin-yue, ZHANG Wei-wei, MA Ming-chuan, ZHANG Xiao, LIU Long-long. Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method[J]. Acta Agrestia Sinica, 2026, 34(6): 2118-2127.

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基于隶属函数法的燕麦苗期耐旱性评价与种质筛选

Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method

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