Genetic evaluation of Surti buffalo on the basis of reproduction traits by all repeatability univariate models of WOMBAT

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Priyank Vyas Urmila Pannu Mitesh Gaur Pallavi Joshi

Abstract

The data pertaining to variable reproduction traits in Surti buffaloes were collected from network project on buffalo, Livestock Research Station, Vallabhnagar Rajasthan to obtain the genetic parameters of various reproduction traits in Surti buffaloes. The least squares means of various reproduction traits were adjusted for significant non-genetic factors and from these adjusted data, genetic parameters namely heritability and repeatability estimates as well as genetic and phenotypic correlations were estimated in the population. The estimates of least-square means for calving interval, dry period and service period were 491.58±8.56, 195.57±6.87 and 223.60±8.75, respectively. Effect of season and periods were highly significant (P≤0.01) but the effect of sire and parity were non-significant in all three traits. Regression of reproduction traits on age at first calving was negative and non-significant for all traits. Among the reproduction traits, dry period, service period and calving interval had very low heritability estimates it was due to the low additive genetic variances. Fitting maternal effect to repeatability univariate model (Model 2), it increased the additive genetic variance in CI and SP but reduced in DP. Lower repeatability estimates were observed for all reproduction traits under study. Genetic correlations of calving interval with dry period and service period were not estimated and phenotypic correlations of dry period with service period and calving interval were very high and positive.

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How to Cite
VYAS, Priyank et al. Genetic evaluation of Surti buffalo on the basis of reproduction traits by all repeatability univariate models of WOMBAT. Buffalo Bulletin, [S.l.], v. 40, n. 3, p. 409-418, sep. 2021. ISSN 2539-5696. Available at: <https://kuojs.lib.ku.ac.th/index.php/BufBu/article/view/1663>. Date accessed: 21 oct. 2021.
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Original Article

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