Principal Component Analysis in Bitter Gourd (Momordica Charantia L.)

Author:

Jatav Vinod,Singh Dk,Singh Nk,Panchbhaiya A

Abstract

Investigation was carried out to assess genetic diversity through principal component analysis (PCA) and D2 analysis. Twenty four genotypes of bitter gourd were grown in RBD with three replications including two checks (Pant karela-1 and Pant karela-2). Principal component analysis showed that the first Eigen root had maximum of 26.83% variation of total variation, while the first six principal component axes together with explained 84.05% variation, which were used for cluster analysis, suggesting first six principal axes are adequate to explain the variation in reduced dimension. Clustering through D2 analysis revealed maximum inter-cluster distance of 498.80 between clusters IV and V followed by cluster III and V (322.81). Thus the genotypes grouped under cluster V, IV and III may yield maximum heterosis upon hybridization and also create wide variability including transgressive segregants in selfed generations. Bangladesh J. Bot. 51(1): 1-7, 2022 (March)

Publisher

Bangladesh Journals Online (JOL)

Subject

Plant 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