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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:4, April, 2019

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(4): 1147-1157
DOI: https://doi.org/10.20546/ijcmas.2019.804.132


Characterization and Genetic Potential of Ginger Genotypes Evaluated in Terai Region of West Bengal, India
D. Basak1, S. Chakraborty1*, A. Sarkar1, M.K. Debnath2, A. Kundu1 and S. Khalko3
1Department of Genetics and Plant Breeding
2Department of Agricultural Statistics
3Department of Plant Pathology, UBKV, Pundibari, Coochbehar-736165
*Corresponding author
Abstract:

Character association and path analysis studies were investigated in 2016-2017 and 2017-2018 in all physical and rhizome characters of ginger to find out the influence of characters among themselves on yield. Characters were investigated according to the DUS descriptors as described by Indian Institute of Spices Research, Kozhikode, Kerala. Number of leaves had the highest positive direct effect (1.759) on yield followed by number of shoots (1.053) and rhizome thickness (0.460). The correlation coefficients among the different characters at phenotypic and genotypic levels revealed that Rhizome thickness (0.45*) was the only trait having positive and significant correlation with rhizome yield (t/ha). Number of leaves had the highest positive direct effect on yield followed by number of shoots and rhizome thickness indicating that selection should be made on the basis of these characters taking other characters into consideration, while making improvement in yield of ginger. In cluster analysis, gap statistics was done to find optimal number of clusters and two groups of clusters were found. So, genotypes GCP-39, SEHP-9, SE-8640, SG-2640, SE-8681 and ACC-247 should be chosen for cultivation among these genotypes in this region of West Bengal.


Keywords: Path analysis, Rhizome thickness, Leven's test, Cluster analysis, Gap statistic, Correlation coefficient

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How to cite this article:

Basak, D., S. Chakraborty, A. Sarkar, M.K. Debnath, A. Kundu and Khalko, S. 2019. Characterization and Genetic Potential of Ginger Genotypes Evaluated in Terai Region of West Bengal, India.Int.J.Curr.Microbiol.App.Sci. 8(4): 1147-1157. doi: https://doi.org/10.20546/ijcmas.2019.804.132
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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