The estimation of (co)variance components and genetic parameters for growth traits and Kleiber ratios in Malpura sheep of India

Prakash, Ved; Prince, L. L. L.; Gowane, G. R.; Arora, A. L.

doi:10.1016/j.smallrumres.2012.07.018

Cited by 44 publications

(37 citation statements)

References 18 publications

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“…RASHIDI et al (2008) fi tted different models to evaluate average daily gain from birth to weaning of Kermani sheep and reported that the best model included the direct additive genetic and maternal permanent environmental effects. Moreover, PRAKASH et al (2012), in Mapura sheep of India, found that the best model for ADG1 and ADG3 included the direct genetic and permanent environmental effects, and for ADG2, it considered only the direct additive effect. Ciência Rural, v.43, n.12, dez, 2013.…”

Section: Resultsmentioning

confidence: 99%

Estimates of (co)variance components and genetic parameters for growth traits in Suffolk lambs

et al. 2013

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Section: Resultsmentioning

confidence: 99%

Estimates of (co)variance components and genetic parameters for growth traits in Suffolk lambs

et al. 2013

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“…The range of phenotypic correlation estimates for BWT and 3MWT in literature varied from 0.25 (Jafaroghli et al, 2010) to 0.49 (Prakash et al, 2012). Three month weight had negative phenotypic correlation with 12MWT probably could be due to environmental and managemental variations.…”

Section: Phenotypic Correlationsmentioning

confidence: 94%

Influence of genetic and non genetic factors on growth traits of Bharat Merino sheep in sub-temperate climate of Kodai hills of Tamil Nadu, India

Mallick

Pourouchottamane

Rajapandi

et al. 2016

IJAR

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In the present study, the data on 1649 Bharat Merino (BM) lambs; progeny of 144 sires over the year from 2000 to 2014 available at Southern Regional Research Centre (SRRC), Central Sheep and Wool Research Institute, Mannavanur were considered for the analysis. The different economic growth traits used for the analysis were birth weight (BWT), weaning weight (3MWT), 6 month weight (6MWT), 12 month weight (12MWT) and greasy fleece yield (GFY). The overall leastsquare means for weights (in kg) were 3.28±0.02, 19.08±0.23, 25.00±0.35, 34.79±0.59 and 2.13±0.07 for BWT, 3MWT, 6MWT, 12MWT and GFY respectively. Different non genetic factors such as year, sex, type of birth and dam's age had significant (P<0.01) influence on BWT and 3MWT. Season influenced the BWT (P<0.05) while it had no significant effect on 3MWT. Six month weight was also significantly (P<0.05) influenced by all non-genetic factors taken under present study. Twelve month weight was significantly affected by year (P<0.01), sex and season (P<0.05). Similarly, analysis of variance showed that the year, sex of the lambs (P<0.01) and season (P<0.05) were important sources of variation on GFY of Bharat Merino sheep. Lambs born single had higher values of BWT and 3MWT than that of the lambs born as twins. The trend of the increase in BWT and 3MWT of the lambs is being observed up to the period when the age of their corresponding dams is 4-5 years. The findings of the present study showed that non -genetic factors play an important role in the expression of genetic potential in the lambs as well as growth performance of Bharat Merino sheep under sub temperate conditions of Kodai hills of Tamil Nadu, India. The genetic parameters estimated of 6MWT indicate that it is most suitable for use as selection criterion. Improvement of body weight of BM sheep seems feasible in selection programs, as some of the related traits are moderately heritable and those traits specially are well correlated, which could suggest that these traits are useful in selection programs.

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“…It was calculated using the formula (lny t2 -lny t1 )/(t 2 -t 1 ), where 'ln' denotes the natural logarithm and y t1 and y t2, the weights in grams at time 1 (t 1 ) and time 2 (t 2 ) respectively (Fitzhugh and Taylor, 1971). The Kleiber ratio (KR) is the proportion of ADG to the metabolic body weight and was calculated using the formula ADG/W 0.75 where, W 0.75 denotes the metabolic body weight at the older age of the period for which KR is calculated (Prakash et al, 2012). The number of sires and dams, least squares means, standard deviations and coefficients of variation for the respective traits are summarised in Table 1.…”

Section: Datamentioning

confidence: 99%

“…In model 3, inflated h 2 estimates were observed for all the traits, probably due to a very high negative covariance between direct and maternal effect. The high negative correlation between direct and maternal genetic effects is an indication of how difficult it is to simultaneously improve both these traits in a selection programme (Prakash et al, 2012). This antagonism between the effects of an individual's genes for growth and those of its dam for a maternal contribution may arise from genes having antagonistic pleiotropic effects on maternal performance and offspring trait.…”

Section: Body Weight Traitsmentioning

confidence: 99%

“…Among the body weights and growth efficiency traits, the positive correlations existing between the post-weaning body weights and average daily gains could be used for indirect selection on the early trait to achieve higher body weights at later ages which are economically important. Negative correlation among body weight traits and growth efficiency traits implies that different mechanisms are involved in expression of these traits at different stages of growth (Prakash et al, 2012). Overall, high genetic correlation between W42-W70 (0.76), W42-W135 (0.76), W70-W135 (0.62), RGR1-RGR3 (0.77), RGR1-KR3 (0.68), RGR3-KR1 (0.65) and KR1-KR3 (0.61) clearly shows that performance of the kit at weaning and post-weaning can be considered a suitable indicator of growth and feed conversion efficiency at marketing age, hence either of the first 2 growth stage performances can be used for selection.…”

Section: Correlation Estimatesmentioning

confidence: 99%

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

Sakthivel¹,

Balasubramanyam

Kumarasamy

et al. 2017

World Rabbit Sci.

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Abstract: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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The estimation of (co)variance components and genetic parameters for growth traits and Kleiber ratios in Malpura sheep of India

Cited by 44 publications

References 18 publications

Estimates of (co)variance components and genetic parameters for growth traits in Suffolk lambs

Estimates of (co)variance components and genetic parameters for growth traits in Suffolk lambs

Influence of genetic and non genetic factors on growth traits of Bharat Merino sheep in sub-temperate climate of Kodai hills of Tamil Nadu, India

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

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