Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit

The genetic parameters of growth traits in the New Zealand White rabbits kept at Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India were estimated by partitioning the variance and covariance components. The (co)variance components of body weights at weaning (W42), post-weaning (W7...

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Main Authors: M. Sakthivel, D. Balasubramanyam, P. Kumarasamy, H. Gopi, A. Raja, R. Anilkumar, A. Devaki
Format: Article
Language:English
Published: Universitat Politècnica de València 2017-12-01
Series:World Rabbit Science
Subjects:
Online Access:https://polipapers.upv.es/index.php/wrs/article/view/7057
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author M. Sakthivel
D. Balasubramanyam
P. Kumarasamy
H. Gopi
A. Raja
R. Anilkumar
A. Devaki
author_facet M. Sakthivel
D. Balasubramanyam
P. Kumarasamy
H. Gopi
A. Raja
R. Anilkumar
A. Devaki
author_sort M. Sakthivel
collection DOAJ
description The genetic parameters of growth traits in the New Zealand White rabbits kept at Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India were estimated by partitioning the variance and covariance components. The (co)variance components of body weights at weaning (W42), post-weaning (W70) and marketing (W135) age and growth efficiency traits viz., average daily gain (ADG), relative growth rate (RGR) and Kleiber ratio (KR) estimated on a daily basis at different age intervals (42 to 70 d; 70 to 135 d and 42 to 135 d) from weaning to marketing were estimated by restricted maximum likelihood, fitting 6 animal models with various combinations of direct and maternal effects. Data were collected over a period of 15 yr (1998 to 2012). A log-likelihood ratio test was used to select the most appropriate univariate model for each trait, which was subsequently used in bivariate analysis. Heritability estimates for W42, W70 and W135 were 0.42±0.07, 0.40±0.08 and 0.27±0.07, respectively. Heritability estimates of growth efficiency traits were moderate to high (0.18 to 0.42). Of the total phenotypic variation, maternal genetic effect contributed 14 to 32% for early body weight traits (W42 and W70) and ADG1. The contribution of maternal permanent environmental effect varied from 6 to 18% for W42 and for all the growth efficiency traits except for KR2. Maternal permanent environmental effect on most of the growth efficiency traits was a carryover effect of maternal care during weaning. Direct maternal genetic correlations, for the traits in which maternal genetic effect was significant, were moderate to high in magnitude and negative in direction. Maternal effect declined as the age of the animal increased. The estimates of total heritability and maternal across year repeatability for growth traits were moderate and an optimum rate of genetic progress seems possible in the herd by mass selection. The genetic and phenotypic correlations among body weights and between growth efficiency traits were also estimated. Moderate to high heritability and higher genetic correlation in body weight traits promise good scope for genetic improvement provided measures are taken to keep the inbreeding at the lowest level.
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spelling doaj.art-eb03d4d8c2cd4af3a5f96d533e58f2042022-12-22T00:08:56ZengUniversitat Politècnica de ValènciaWorld Rabbit Science1257-50111989-88862017-12-0125432933810.4995/wrs.2017.70576265Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbitM. Sakthivel0D. Balasubramanyam1P. Kumarasamy2H. Gopi3A. Raja4R. Anilkumar5A. Devaki6Mandapam Regional CentreTamil Nadu Veterinary and Animal Sciences UniversityTamil Nadu Veterinary and Animal Sciences UniversityTamil Nadu Veterinary and Animal Sciences UniversityTamil Nadu Veterinary and Animal Sciences UniversityTamil Nadu Veterinary and Animal Sciences UniversityGovt. of Tamil NaduThe genetic parameters of growth traits in the New Zealand White rabbits kept at Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India were estimated by partitioning the variance and covariance components. The (co)variance components of body weights at weaning (W42), post-weaning (W70) and marketing (W135) age and growth efficiency traits viz., average daily gain (ADG), relative growth rate (RGR) and Kleiber ratio (KR) estimated on a daily basis at different age intervals (42 to 70 d; 70 to 135 d and 42 to 135 d) from weaning to marketing were estimated by restricted maximum likelihood, fitting 6 animal models with various combinations of direct and maternal effects. Data were collected over a period of 15 yr (1998 to 2012). A log-likelihood ratio test was used to select the most appropriate univariate model for each trait, which was subsequently used in bivariate analysis. Heritability estimates for W42, W70 and W135 were 0.42±0.07, 0.40±0.08 and 0.27±0.07, respectively. Heritability estimates of growth efficiency traits were moderate to high (0.18 to 0.42). Of the total phenotypic variation, maternal genetic effect contributed 14 to 32% for early body weight traits (W42 and W70) and ADG1. The contribution of maternal permanent environmental effect varied from 6 to 18% for W42 and for all the growth efficiency traits except for KR2. Maternal permanent environmental effect on most of the growth efficiency traits was a carryover effect of maternal care during weaning. Direct maternal genetic correlations, for the traits in which maternal genetic effect was significant, were moderate to high in magnitude and negative in direction. Maternal effect declined as the age of the animal increased. The estimates of total heritability and maternal across year repeatability for growth traits were moderate and an optimum rate of genetic progress seems possible in the herd by mass selection. The genetic and phenotypic correlations among body weights and between growth efficiency traits were also estimated. Moderate to high heritability and higher genetic correlation in body weight traits promise good scope for genetic improvement provided measures are taken to keep the inbreeding at the lowest level.https://polipapers.upv.es/index.php/wrs/article/view/7057genetic parametersmaternal effectsgenetic correlationsgrowth traitsrabbit genetics
spellingShingle M. Sakthivel
D. Balasubramanyam
P. Kumarasamy
H. Gopi
A. Raja
R. Anilkumar
A. Devaki
Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
World Rabbit Science
genetic parameters
maternal effects
genetic correlations
growth traits
rabbit genetics
title Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
title_full Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
title_fullStr Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
title_full_unstemmed Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
title_short Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit
title_sort estimates of co variance components and genetic parameters for body weights and growth efficiency traits in the new zealand white rabbit
topic genetic parameters
maternal effects
genetic correlations
growth traits
rabbit genetics
url https://polipapers.upv.es/index.php/wrs/article/view/7057
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