Correlation between Fall Dormancy and Production Performance of Alfalfa (Medicago sativa)

Author:

Wang Xiaolong,Zhong Peng,Yang Zhao,Xu Yanxia,Chai Hua,Li Shasha,Lai Yongcai

Abstract

Background: Selection for fall dormancy (FD) in alfalfa (Medicago sativa) can impact other traits, including dry matter yield (DMY), winter survival rate (WSR) and nutrient compositions. The current study was aimed to screen alfalfa varieties with greater yield, good quality and strong winter survival ability and thus are more suitable for planting in Heilongjiang, China and may be suitable for similar upper-latitude semiarid environments in the world. Methods: Eight alfalfa varieties (Zhaodong, Gongnong No. 2, Caribou, Gold Empress, Adrenalin, Sanditi, Sardi and WL525) were planted in regional test based on randomized block design and mowed during the early flowering stage from 2019 to 2021. The DMY, WSR and nutrient compositions were measured by weighing method, field investigation and chemical test, respectively. Result: There was a significant negative correlation (P less than 0.01) between the FD rating and WSR, with a correlation coefficient of 0.956. The three-year average DMY of Gongnong No. 2 was the greatest (12,745.65 kg ha-1) and there was a significant negative correlation (0.766, P less than 0.01) between the FD rating and DMY. The crude protein content of Gongnong No. 2 was greater (19.29%) than the other varieties. The Zhaodong had the least neutral detergent fiber (47.76%) and acid detergent fiber (30.79%).

Publisher

Agricultural Research Communication Center

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3