Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

Author:

Dehal Indu Bala,Kalia Rama,Kumar Bhupender

Abstract

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.

Publisher

Agricultural Research Communication Center

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Cited by 6 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