Analysis of seed production and its association with forage production and agronomic traits in orchardgrass (Dactylis glomerata) under different moisture conditions

Author:

Saeidnia F.,Majidi M. M.,Mirlohi A.

Abstract

Genetic analysis of seed production and the effect of water stress on seed and forage production have not been addressed simultaneously in orchardgrass (Dactylis glomerata L.). Thirty-six genotypes of orchardgrass were clonally propagated and evaluated in the field under two moisture environments (normal and water stress) during 3 years (2013–15). A high degree of variation was observed among genotypes for all of the measured traits. Water stress had a negative effect on seed weight per plant and dry matter biomass per plant, and it reduced genotypic variation for most of the traits. A significant and positive correlation was found between seed weight per plant and dry matter biomass per plant, which suggested that simultaneous selection for both traits is possible in normal as well as water-stress environments. The results also indicated that traits explaining seed and forage production variability were not exactly the same in water-stress and non-stress environments. Therefore, indirect selection based on seed weight and dry matter biomass components under normal and water-stress conditions may result in genotypes with different performances. In both normal and water-stress environments, some genotypes were identified as superior with respect to high seed weight and dry matter biomass per plant. These genotypes can be used for further studies to improve seed weight and dry matter biomass per plant, simultaneously.

Publisher

CSIRO Publishing

Subject

Plant Science,Agronomy and Crop Science

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