草业学报2026，Vol.35Issue(8)：65-83,19.DOI:10.11686/cyxb2025381
江淮地区不同秋眠性紫花苜蓿品种的生产性能比较研究
A comparative study of the yield of alfalfa(Medicago sativa)varieties with different fall dormancy in the Yangtze-Huaihe region
摘要
Abstract
Summer stress characterized by high temperature and humidity is a major constraint to achieving high yield and quality in alfalfa production in the Yangtze-Huaihe region.To identify stress-adapted germplasm,a field experiment was conducted in Yangzhou from 2023 to 2024,evaluating 42 alfalfa varieties with contrasting fall dormancy(FD)ratings.We investigated a range of agronomic and physiological traits,including phenology,plant height,forage yield,leaf:stem ratio,regrowth capacity,summer survival,and crude protein content.Grey relational analysis(GRA)was employed for an overall performance assessment.Significant varietal differences(P<0.05)were observed at regreening time,and for regrowth vigor,cumulative seasonal yield,and summer persistence.While leaf crude protein content remained stable across seasons,the leaf:stem ratio showed considerable seasonal variation.A significant negative correlation was found between FD rating and the summer relative yield reduction rate(r=-0.50),indicating that less dormant varieties exhibit superior heat tolerance and summer survival.GRA identified WL525HQ,Huaiyang No.4,Magnum No.801,WL656HQ,and Saidi 10 as top-performing varieties,combining high yield potential with exceptional resilience to summer adversity.This study establishes fall dormancy as a valuable proxy for selecting alfalfa varieties suitable for the Yangtze-Huaihe region,and the top-performing varieties provide a reliable genetic resource for breeding programs aimed at enhancing alfalfa productivity in this challenging environment.关键词
苜蓿/秋眠级/生产性能/耐热性/江淮地区Key words
alfalfa/fall dormancy rating/production performance/heat resistance/Yangtze-Huaihe region引用本文复制引用
王霞,颜梦雨,王千禧,魏臻武,魏佳,曹正锋,吕燕燕,张传杰,闵学阳..江淮地区不同秋眠性紫花苜蓿品种的生产性能比较研究[J].草业学报,2026,35(8):65-83,19.基金项目
2024年江苏省研究生科研创新计划(SJCX24-2294),国家自然科学基金(32301474)和江苏省基础研究计划自然科学基金青年基金(BK20220583 （SJCX24-2294）
BK20230606)资助. （）
