Elucidating genetic diversity and association mapping to identify SSR markers linked to 100 seed weight in chickpea (Cicer arietinum L.)

Author:

Jha Uday Chand,Jha Rintu .,Thakro Virevol .,Nayyar Harsh .,Paul Pronob J,Tripathi Shailesh .,Kumar Yogesh .,Mondal Biswajit .,Srivastava Avinash .,Singh Narendra Pratap,Chaturvedi Sushil K,Parida Swarup K.

Abstract

Chickpea, a cool-season grain legume enriched with high nutritive value is grown globally over 90 countries. Seed weight trait is one of the important quality parameters for fetching premium market price. Thus, improving seed traits, including high 100-seed weight (SW) is one of the major targets of chickpea breeding. A study of genetic variability, molecular diversity and marker-trait association (MTA) analysis for 100 SW was performed in a panel of 96 chickpea genotypes consisting of crop wild relatives, landraces, advanced breeding lines and released varieties. A wide range of genetic variability and high heritability for the studied trait indicated the great scope of improving this trait. Simple sequence repeat marker-based genetic diversity analysis grouped all the genotypes into two groups. This result was consistent with the result obtained from factorial and population structure analysis. To delineate the significant marker-trait association for 100 SW, association analysis was performed in the given panel of chickpea genotypes. The mixed linear model (MLM) was employed for detecting significant MTAs for 100 SW. Following MLM analysis, a total of seven significant MTAs was detected in the year 2016-17. While in the year 2017-18, MLM analysis showed three significant MTAs for 100 SW. Three markers TAA60, CakTpSSR02719, H1B04 markers exhibited significant MTA for both the years consistently. Thus, these genomic regions could be fine mapped in future for improving 100 SW in chickpea.

Publisher

The Indian Society of Genetics and Plant Breeding

Subject

Plant Science,Genetics

Cited by 3 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