Estimation of variance components and genetic parameters for growth traits in New Zealand White rabbit (<i>Oryctolagus cuniculus</i>)

Dige, Mahesh Shivanand; Kumar, Adesh; Kumar, Pushpendra; Dubey, P. P.; Bhushan, Bharat

doi:10.1080/09712119.2011.645037

Cited by 11 publications

(17 citation statements)

References 9 publications

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“…The m 2 estimates were lower than h 2 values of these traits. Similar result of m 2 <h 2 was reported by Niranjan et al (2010) in the Angora rabbit and Dige et al (2012) in the New Zealand White rabbit. The maternal permanent environmental variance was also found to influence the early stage body weight traits (W42 and W70) more than the marketing weight.…”

Section: Body Weight Traitssupporting

confidence: 78%

“…The heritability estimate obtained for W42 (0.42) was lower than that found in German Angora (Singh et al, 2008), crossbred involving White Giant, Soviet Chinchilla and Grey Giant (Rojan et al, 2009) and New Zealand White (Choudhury and Goswami, 2012) and higher than those found in New Zealand White (Bhushan and Ahlawat, 1999;Farghaly and El-Mahdy, 1999) and Danish White (Sorensen et al, 2001) breeds of rabbit. The estimated heritability for weight at marketing (W135) in the present study was 0.27, which is similar to that reported by Bhushan and Ahlawat (1999), lower than Choudhury and Goswami (2012) (0.75) and higher than the report of Dige et al (2012) (0.13).…”

Section: Body Weight Traitssupporting

confidence: 68%

“…These observations were consistent with the higher maternal permanent environmental effect for growth traits at the initial stage which decreased in later stages (Ferrez et al, 1992). Dige et al (2012) also found that the maternal genetic and maternal permanent environmental effects were important for weight at 15, 30, 90 and 180 d in a laboratory-reared New Zealand White rabbit population. Similar findings were also reported by Abdel-Kafy et al (2012) in Baladi Black rabbit.…”

Section: Body Weight Traitsmentioning

confidence: 99%

“…Genetic improvement for economic traits is possible if the estimates of variance-covariance components and genetic parameters of those traits are accurate. Studies on (co)variance components of growth in various rabbit breeds have shown that the body weight and growth rate are considerably affected by maternal as well as direct genetic effects (Niranjan et al, 2010;Nagy et al, 2011;Dige et al, 2012;Nagy et al, 2013). Compared to most farm animals, the information on (co)variance components and genetic parameters of growth traits in farm-reared rabbits is available for only a few populations.…”

Section: Introductionmentioning

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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Section: Body Weight Traitssupporting

confidence: 78%

Section: Body Weight Traitssupporting

confidence: 68%

Section: Body Weight Traitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Only a few reports (Zhang et al 2000;Kaufmann et al 2000;Solanes et al 2004;Chimonyo et al 2006) are available about direct additive genetic and maternal effects on body weights of individual piglets, estimated using DFREML-based software. Singh et al (2010) and Dige et al (2012) had analyzed growth traits of cattle and rabbits of different ages using different animal models. Simultaneously, for estimating genetic correlations authors (Karacaoren et al 2006;De Haas et al 2007) have efficiently used random regression models for longitudinal traits in cattle.…”

Section: Introductionmentioning

confidence: 99%

Estimation of variance and genetic parameters for pre-weaning weights of individualLandrace X Desisynthetic piglets

Mondal

Kumar

Dubey

et al. 2014

Journal of Applied Animal Research

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Variances and genetic parameters were estimated for birth weight (BW), 14 day body weight (14dW), 28 day body weight (28dW), 42 day body weight (42dW) and weaning weight or 56 day body weight (56dW) in the Landrace X Desi synthetic piglet population reared under sub-temperate agro climatic region of India. The data were analyzed using restricted maximum likelihood (REML) fitting six animal models with various combinations of direct and maternal effects. Estimates of genetic and permanent environmental correlations were obtained using bivariate analysis of an animal model and computed with the DFREML program. A log likelihood ratio test was used to select the most appropriate univariate model for each trait. The direct estimates of heritability were 0.43 ± 0.04, 0.31 ± 0.04, 0.35 ± 0.05, 0.40 ± 0.06, and 0.49 ± 0.06 for BW, 14dW, 28dW, 42dW, and 56dW, respectively and it increased with age from 14dW to 56dW. The permanent litter effect progressively decreased and was minimum at 56dW, ranged from 0.21 ± 0.06 to 0.34 ± 0.04. Further, maternal genetic heritability was the highest, ranging from 0.16 ± 0.07 (model 5) to 0.18 (model 6), at age of weaning and the lowest for BW, from 0.04 ± 0.03 (model 5) to 0.06 (model 6). The presence of permanent litter effect was more important since it increased the accuracy of last three models (models 4-6) significantly over the first three models (models 1-3) without permanent litter effect. The selection of 56dW would be more reliable for genetic progress rather than the selection of BW. The direct additive genetic correlation (r a ) between BW and 56dW was −0.158 ± 0.29 which revealed that higher BW may not result for favorable changes in weaning weights which was in contradiction to many earlier reports.

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Effects of dietary seaweed (Ulva lactuca) supplementation on the reproductive performance of buck and doe rabbits

Okab

Samara

Abdoun

et al. 2013

Journal of Applied Animal Research

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The aim of this study was to investigate the effect of dietary supplementation of seaweed on the reproductive performance of rabbits. Two trials were performed during this study. In the first trial, semen quality was evaluated in 15 buck rabbits with mean body weight of 4.8090.41 kg and six month of age. In the second trial, prolificacy was determined in 30 artificially inseminated does with a mean body weight of 4.8490.50 kg and five to six months of age. Rabbits in each trial were randomly allocated to one of three dietary seaweed levels; commercial pelleted diet (C), pelleted diet supplemented with 1% seaweed (T 1 ), and pelleted diet supplemented with 2% seaweed (T 2 ). Dietary supplementation of seaweed significantly increased plasma testosterone concentration and improved various sperm motility parameters. Analysis of acrosomal membrane integrity using electron microscopy revealed no significant influences of dietary seaweed supplementation on quality grade (IÁIV) of all tested samples. These results reflected in positive prolificacy response of does artificially inseminated with semen samples pooled from bucks fed on T 2, and offered diet supplemented with 2% seaweed one week prior to their insemination and throughout the gestation period. Feeding diets supplemented with 2% seaweed to doe rabbits improved their kindling rate, litter size, and their offspring ratio. Seaweed supplementation to the diets of rabbits raised under summer conditions had improved their reproductive performance by improving the semen fertility characteristics of bucks and the prolificacy characteristics of does. Hematological and biochemical parameters investigated in this study did not reveal any pathological signs in both rabbit's genders due to dietary seaweed supplementation.

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Estimation of variance components and genetic parameters for growth traits in New Zealand White rabbit (Oryctolagus cuniculus)

Cited by 11 publications

References 9 publications

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

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

Estimation of variance and genetic parameters for pre-weaning weights of individualLandrace X Desisynthetic piglets

Effects of dietary seaweed (Ulva lactuca) supplementation on the reproductive performance of buck and doe rabbits

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