Multivariate analysis among indigenous and exotic advanced inbred lines of sunflower (Helianthus annuus L.) for genetic improvement

Author:

Meena H.P.,Sujatha M.,Yadav Praduman,Dudhe M.Y.,Uma M.S.,Vikas K.,Sasikala R.,Ghodke M.K.,Neelima S.,Sakhare S.B.,Vineeta K.,Khandola S.S.,Misal A.,Nehru S.D.,Kumar Neeraj,Chander Subash,Umarani E.,Jayshree K.,Lakshman S.S.,Yashavanth B.S.

Abstract

Evaluation and validation of 358 Indian-origin and exotic inbred lines of sunflower (Helianthus annuus L.) was done over two years toidentify trait-specific inbreds with desirable agronomical features for genetic improvement. The analysis of variance exhibited significant differences among the genotypes for most of the agronomic traits studied, which favor selection. Positive correlations were recorded among the various characters in the improvement of seed yield, particularly for plant height, head diameter, and 100 seed weight. Cluster analysis grouped 163 inbreds under Cluster V, which included genotypes with medium maturity, high oil content and good yielding ability. The clustering pattern indicated the association between geographic diversity and genetic diversity. The first principal component accounted for 75% of the total variation in the population. The most important trait that contributed more to the variation in PC1 was plant height (0.989), followed by the number of leaves per plant (0.113). The second principal component accounted for 87% of the total variation and was positively associated with days to 50% flowering (0.674) and days to maturity (0.654), whereas it was negatively associated with seed yield per plant (-0312). Several trait-specific inbred lines were identified using multivariate analysis that may serve as potential breeding material/parental lines for effective utilization in the heterosis breeding programme for developing agronomically superior heterotic sunflower hybrids.

Publisher

The Indian Society of Genetics and Plant Breeding

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