Study on genetic divergence analysis of indigenous and exotic lines of linseed (Linum usitatissimum L.) based on morphological and quality traits

Author:

DEVENDER SHARMA ,SATISH PAUL ,RANJANA PATIAL

Abstract

Thirty genotypes of linseed were analysed for sixteen morphological traits to investigate the genetic diversitybetween and within the genotypes. Field data was initially subjected to analysis of variance. There were highlysignificant differences among the genotypes for all the traits indicating the presence of adequate variability among the genotypes and the possibility to undertake cluster analysis. The phenotypic divergence and relative importance were estimated bymultivariate analysis. The cluster analysis based on Tocher's method classified the genotypes into nine major groups. The maximum distance was found between clusters VI and VIII. The genotypes from these clusters can be utilized for the improvement of linseed yield and obtaining good segregants in linseed breeding programs.

Publisher

Indian Society of Oilseeds Research

Reference25 articles.

1. Biradar S A, Ajithkumar K, Rajanna B,Savitha S, Shubha G V, Shankergoud I, Chittapur B M and Singh P K 2016. Prospects

2. and challenges in linseed (Linum usitatissimum L.) production: A review. Journal of Oilseeds Research, 33(1): 1-13.

3. Arora S, Modgil R, Sood S and Bhateria S 2003. Physio-chemical and nutritional qualities of different cultivars oflinseed (Linum usitatissimum L.). Journal of Food Science and Technology, 40: 324-327.

4. Bibi T, Talat M, Yasin M, Tariq M and Hasan E 2013. Correlation studies of some yield related traits in linseed (Linum

5. usitatissimum L.). Journal of Agricultural Science, 51: 121-132.

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