Published In
Agricultural Science Digest
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.
Follow us
Research Article
volume 35 issue 3 (september 2015) : 233-236, Doi: 10.5958/0976-0547.2015.00054.3
Genetic analysis in Bhendi [Abelmoschus esculentus (L.) Moench]
1Pandit Jawaharlal Nehru College of Agriculture and Research Institute,
Karaikal 609 603, (T.N.), India.
Submitted11-10-2014|
Accepted28-08-2015|
First Online 28-09-2015|
Cite article:- Sundaram V. (2025). Genetic analysis in Bhendi [Abelmoschus esculentus (L.) Moench]. Agricultural Science Digest. 35(3): 233-236. doi: 10.5958/0976-0547.2015.00054.3.
ABSTRACT
Bhendi [Abelmoschus esculentus (L.) Moench] is a short duration vegetable crop that could fit well in any cropping system. Karaikal located along the East Coast at the tail end of river Cauvery is suitable for cultivation of this nutritionally and commercially important vegetable crop. As identification of any high yielding genotypes depends on the extent of variability present in the germplasm and the extent of genetic gain expected out of selection for most desired traits, a study was conducted with forty genotypes of bhendi to assess the extent of variability, heritability and genetic gain, besides studying the nature and extent of correlation of important yield determinants on yield of bhendi. The presence of wide variation along with high heritability and genetic gain indicated the predominance of additive gene action for fruit length, fruit weight, number of fruits plant-1 and fruit yield plant-1. Correlation and path coefficient analysis revealed the importance of number of fruits plant-1 and fruit weight as important yield determinants in bhendi.
REFERENCES
- Burton, G. W. (1952). Quantitative inheritance in grasses. Proc. 6th Inter. Grassland Congr., 1: 277-283.
- Dewey, D.R. and Lu, K.H. (1959). Correlation and path analysis of components of crested wheat grass seed production. Agron. J., 51:515-518.
- Dhankar, B.S. and Dhankar, S.K. (2002). Genetic variability, correlation and path analysis in okra [Abelmoschus esculentus (L.) Moench]Veg. Sci., 29:63-65.
- Gangashetty, P.I., Shanthakumar, G., Salimath, P.M., Patil, B.B., Mane, R.S., Haleshkumar, B. and Waghamore, A.N. (2010). Genetic variability studies in signle and double cross advanced generation segregating progenies of bhendi [Abelmoschus esculentus (L.) Moench]. Elec. J. Plant Breed., 1:1358 – 1362.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimation of genetic and environmental variability in soyabean. Agron. J., 47: 314-318.
- Kumar, S. Annapurna, Y.C., Yadav and Singh, R. (2012). Genetic variability, heritability genetic advance, correlation and path coefficient analysis in okra. Hort. Flora Research Spectrum, 1: 139- 144.
- Mahajan, R.K., Sapra, R.L., Srivastava, U., Singh, M. and Sharma, G.D. (2000). Minimal descriptors of agri-hort. Crops – Part I. National Bureau of Plant Genetic Resources, New Delhi. Pp. 181 – 184.
- Reddy, M.T., Babu, K.H., Ganesh, M., Reddy, K.C., Begum, H., Reddy, R.S.K. and Babu, J.D. (2013). Correlation and path coefficient analysis of quantitative characters in okra [Abelmoschus esculentus (L.) Moench]. Songklanakarin J. Sci. Technol., 35: 243 – 250.
- Sharma, R.K. and Prasad, K. (2010). Classification of promising okra genotypes based on principal component analysis. J. Trop. Agric. And Fd. Sci., 38: 161-169.
- Singh, R.K. and Chaudhary. (1977). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Pub., New Delhi. 317p.
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.
Follow us
Published In
Agricultural Science Digest