Chief EditorArvind kumar
Print ISSN 0253-150X
Online ISSN 0976-0547
NAAS Rating 5.52
SJR 0.156

Frequency :

Bi-monthly (February, April, June, August, October and December)

Indexing Services :

BIOSIS Preview, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus

Submit

Agricultural Science Digest, volume 26 issue 1 (march 2006) : 45 - 47

A MULTIVARIATE ANALYSIS OF OKRA GENOTYPES

K.D. Patel, L.K. Dhaduk, D.R. Mehta, H.M. Pandya

Affiliations

¹Vegetable Research Station, Gujarat Agricultural University, Junagadh - 362 001, India

Submitted|
First Online |
doi

Cite article:- Patel K.D., Dhaduk L.K., Mehta D.R., Pandya H.M. (2024). A MULTIVARIATE ANALYSIS OF OKRA GENOTYPES. Agricultural Science Digest. 26(1): 45 - 47. doi: .

ABSTRACT

The genetic distance for 26 genotypes of okra were estimated using D2 statistics. The results revealed that 26 genotypes were grouped in to six clusters viz., I to VI clusters. Cluster I topped in having maximum number of genotypes (18) among the six clusters formed. Cluster II and IV had minimum two genotypes each, while cluster V and VI were solitary in nature. The highest inter cluster distance were observed between cluster V and VI followed by cluster II and V, cluster II and VI as well as cluster IV and V which may be served as potential parents for hybridization programme. Among the traits studied, more than 86 per cent of total divergence were contributed by five traits viz., fruit yield, day to 50 per cent flowering, fruit girth, fruit length and length of internode.

KEYWORDS

REFERENCES

Arunachalam, V. (1981). Indian J. Genet., 41: 226-236.
Mahalanobis, P.C. (1949). Sankhya, 19: 237-239.
Mandal, M. and Dana, I. (1993). Indian Agric., 37: 189-192.
Rao, C.R. (1952). Advanced Statistical Methods in Biometric Research (1st Edn.). John Willey and Sons, New York

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.

Reviewed By

Share options

Editorial Board

View all (0)

A MULTIVARIATE ANALYSIS OF OKRA GENOTYPES

ABSTRACT

KEYWORDS

REFERENCES

Reviewed By

In this Article

APC

Publish With US

Become a Reviewer/Member

Open Access

Products and Services

Support and Policies

Editorial Board