ASSESSMENT OF GENETIC VARIABILITY AND CHARACTER ASSOCIATION IN CLUSTERBEAN [Cyamopsis tetragonoloba L. Taub.]

K.V. PATEL1, D.J. PARMAR2, R.L. CHAVADHARI3, R.G. MACHHAR4, H.P. PATEL5*
1Pulse Research Station, Vadodara, 390003, Anand Agricultural University, Anand, 388110, Gujarat, India
2Department of Statistics, B.A. College of Agriculture, Anand Agricultural University, Anand, 388110, Gujarat, India
3Agricultural Research Station, Derol, 389330, Anand Agricultural University, Anand, 388110, Gujarat, India
4Agricultural Research Station, Derol, 389330, Anand Agricultural University, Anand, 388110, Gujarat, India
5Pulse Research Station, Vadodara, 390003, Anand Agricultural University, Anand, 388110, Gujarat, India
* Corresponding Author : hirenubi@gmail.com

Received : 29-09-2018     Accepted : 12-10-2018     Published : 15-10-2018
Volume : 10     Issue : 19       Pages : 7301 - 7304
Int J Agr Sci 10.19 (2018):7301-7304

Keywords : Cluster bean, Variability, Correlation, Path analysis
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Pulse Research Station, Vadodara, 390003, Anand Agricultural University, Anand, 388110, Gujarat, India
Author Contribution : All author equally contributed

Cite - MLA : PATEL, K.V., et al "ASSESSMENT OF GENETIC VARIABILITY AND CHARACTER ASSOCIATION IN CLUSTERBEAN [Cyamopsis tetragonoloba L. Taub.]." International Journal of Agriculture Sciences 10.19 (2018):7301-7304.

Cite - APA : PATEL, K.V., PARMAR, D.J., CHAVADHARI, R.L., MACHHAR, R.G., PATEL, H.P. (2018). ASSESSMENT OF GENETIC VARIABILITY AND CHARACTER ASSOCIATION IN CLUSTERBEAN [Cyamopsis tetragonoloba L. Taub.]. International Journal of Agriculture Sciences, 10 (19), 7301-7304.

Cite - Chicago : PATEL, K.V., D.J. PARMAR, R.L. CHAVADHARI, R.G. MACHHAR, and H.P. PATEL. "ASSESSMENT OF GENETIC VARIABILITY AND CHARACTER ASSOCIATION IN CLUSTERBEAN [Cyamopsis tetragonoloba L. Taub.]." International Journal of Agriculture Sciences 10, no. 19 (2018):7301-7304.

Copyright : © 2018, K.V. PATEL, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Cluster bean [Cyamopsis tetragonoloba L. Taub.] has the potential of supplying a protein and cultivated as a vegetable, gum and as a green manuring crop. Due to its better and fine gum qualities it is considered as an important cash crop for industrial gum production. Current aim to study the variability, correlation and path analysis between the varieties and promising local selection to establish selection criteria which might help to develop genotype having high potential and identify yield contributing characters. The experiment was conducted at Agriculture Research Station, Anand Agricultural University, Derol (PMS), Gujarat in kharif 2017. Twenty-two genotypes evaluated through 10 characters. Analysis of variance indicated sufficient variability present in studied material for all 10 characters. On the basis of per se performance genotype RCG-1002 (1.50 kg/plot) and DRLGG-13-8 (1.48 kg/plot) are high yielding and also at par with other eight genotypes. Pods per plant showed high heritability couple with high genetic advance means selection is effective through this character. PCV is higher than GCV value indicates environment influence on these traits. Yield per plant should significant and positive correlation with primary branches per plant, clusters per plant and pods per plant whereas negative correlation with days to flowering, days to maturity and pods per cluster. It was observed that cluster per plant (11.04) has maximum positive direct effects on yield per plot followed by days to 50% flowering, days to maturity, plant stand and pods per plant. Character like clusters per plant followed by primary branches per plant show positive correlation with high direct effect, hence use such character for direct selection of genotypes for increasing the yield per plot.

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