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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:10, October, 2018

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.2018.7(10): 2743-2750
DOI: https://doi.org/10.20546/ijcmas.2018.710.319


Genetic Diversity of Holstein Friesian, Jersey and Local Cows under Field Condition
P.S. Chakrabortty1*, R.P. Singh2 and C.K. Biswas1
1Department of Animal Science, BCKV, Mohanpur, Nadia, India
2Department of Animal Genetics & Breeding, SHUATS, Allahabad, India
*Corresponding author
Abstract:

Present study was based on three genetic groups viz., Jersey × Local (G1), Holstein Friesian × Local (G2) and Local (G3) cows, data collected from the field condition of Allahabad district, to determine the effect of service period, gestation period and calving interval. High estimates of heritability (above 60%) in broad sense were recorded for tall the characters under study. High heritability was observed for all traits viz.; service period according to genetic group (70.79%), calving interval according to genetic group (81.95%). Genetic distance plays a vital role, as parental diversity in optimum magnitude is required to obtain superior genotypes in segregating population. The crossing programme should be initiated between the genotypes belonging to more divergent clusters. The greater the distance between to clusters, the wider the genetic diversity between their genotypes.


Keywords: Genetic diversity, Holstein Friesian, Jersey cows, Field condition

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How to cite this article:

Chakrabortty, P.S., R.P. Singh and Biswas, C.K. 2018. Genetic Diversity of Holstein Friesian, Jersey and Local Cows under Field Condition.Int.J.Curr.Microbiol.App.Sci. 7(10): 2743-2750. doi: https://doi.org/10.20546/ijcmas.2018.710.319
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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