volume 23 issue 4 (december 2000) :
PARENT-PROGENY REGRESSION ANALYSIS AND VARIABILITY STUDIES IN COWPEA (VIGNA UNGUICULATA (L.) WALP.)
1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641 003, India.
Published In
Legume Research
Article Metrics
0
Views
0
Citations
Reviewed By
In this Article
APC
APC cover the cost of turning a manuscript into a published manuscript through peer-review process, editorial work as well as the cost of hosting, distributing, indexing and promoting the manuscript.
Publish With US
Submit your manuscript through user friendly platform and acquire the maximum impact for your research by publishing with ARCC Journals.
Become a Reviewer/Member
Join our esteemed reviewers panel and become an editorial board member with international experts in the domain of numerous specializations.
Open Access
Filling the gap between research and communication ARCC provide Open Access of all journals which empower research community in all the ways which is accessible to all.
Products and Services
We provide prime quality of services to assist you select right product of your requirement.
Support and Policies
Finest policies are designed to ensure world class support to our authors, members and readers. Our efficient team provides best possible support for you.
volume 23 issue 4 (december 2000) :
PARENT-PROGENY REGRESSION ANALYSIS AND VARIABILITY STUDIES IN COWPEA (VIGNA UNGUICULATA (L.) WALP.)
1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641 003, India.
ABSTRACT
Twelve cross combinations of cowpea were used to analyse the parent -progeny regression between F3 and F4 generation for seed yield. Four cross combinations showed positive and significant parent -progeny regression coefficient which indicated that phenotypic selection for seed yield in one generation may lead to good positive response in the next generation. The selected four cross combinations in F4 generation were used to study the genetic variability and heritability for five traits viz., plant height, number of branches per plant, pod length, number of pods per plant and seed yield per plant. The genotypic co-efficient of variations and phenotypic co-efficient of variations were moderate for plant height, pod length and seed yield per plant. The difference between GCV and PCV were meagre for all traits in all the four cross combinations. Heritability values for all the traits were high in most of the cross combinations. High heritability accompanied with high genetic advance was observed for plant height, number of branches per plant, pod length and seed yield per plant in most of the cross combinations. The characters branches perplant ami seed yield per plant in all the F4 cross combinations would deserve greater weightage while selecting cowpea genotypes.
KEYWORDS
REFERENCES
Disclaimer :
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Copyright :
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this Article
APC
APC cover the cost of turning a manuscript into a published manuscript through peer-review process, editorial work as well as the cost of hosting, distributing, indexing and promoting the manuscript.
Publish With US
Submit your manuscript through user friendly platform and acquire the maximum impact for your research by publishing with ARCC Journals.
Become a Reviewer/Member
Join our esteemed reviewers panel and become an editorial board member with international experts in the domain of numerous specializations.
Open Access
Filling the gap between research and communication ARCC provide Open Access of all journals which empower research community in all the ways which is accessible to all.
Products and Services
We provide prime quality of services to assist you select right product of your requirement.
Support and Policies
Finest policies are designed to ensure world class support to our authors, members and readers. Our efficient team provides best possible support for you.
Published In
Legume Research