Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach

Illa, Satish Kumar; Gollamoori, Gangaraju; Lopes, Fernando Brito; Nath, Sapna; Thiruvenkadan, A.K.

doi:10.1016/j.smallrumres.2020.106224

Cited by 7 publications

(25 citation statements)

References 27 publications

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“…Similar results were seen in Chokla [ 25 ], Nellore [ 31 ], Targhee [ 32 ], Malpura [ 33 ], and other sheep breeds [ 34 ]. The estimate from the current study was less than that for Nellore [ 9 ] and Malpura [ 6 , 22 ] sheep. Weaning weight in various sheep breeds was estimated to have lower heritability values [ 7 , 26 , 35 ].…”

Section: Discussioncontrasting

confidence: 85%

“…The high coefficient of variation observed in weaning weight indicated that the environmental influence on weaning was positive and incremental. The coefficients of variation observed were within reported ranges in the Lori, Nellore, and Iran Black breeds [ 8 , 9 , 17 ].…”

Section: Discussionsupporting

confidence: 80%

“…The reported heritability estimates for 6-month body weight in the sheep breeds Chokla, Iran Black, Nilagiri, and Nellore are comparable to the current results [ 7 , 17 , 31 ]. Higher heritability estimates for SMW were reported in Lori [ 8 ], Nellore [ 9 ], Malapura [ 29 ], and Sangsari [ 39 ] sheep breeds, but low estimates were reported in Baluchi [ 5 ] and Sanjabi [ 40 ] lambs. According to past findings in several sheep breeds, the heritability estimates for body weight at nine months and 12 months in Mecheri sheep are accurate [ 7 , 26 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

“…Direct heritability ( h 2 ), maternal heritability , and variance ratio estimate for maternal permanent environmental ( c 2 ) were calculated as the ratio of the variance of random effects to the total phenotypic variance , as described by Misztal et al [ 16 ]. In addition, tests using the log-likelihood ratio were carried out to identify which animal model best matched each trait [ 9 ].…”

Section: Methodsmentioning

confidence: 99%

“…The Bayesian approach does not specify regularity conditions on the probability model and always returns non-negative estimates for variance and the highest posterior density (HPD) interval [ 13 ]. The posterior probability distributions in Bayesian inference address the issue of uncertainty in unknown parameters and provide more precise estimates [ 6 , 9 ]. This shows that for small populations, the Bayesian strategy is preferable to frequentist ones.…”

Section: Introductionmentioning

confidence: 99%

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Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation

Balasundaram,

Muralidharan,

Murali

et al. 2023

PLoS ONE

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The progression of genetic selection techniques to enhance farm animal performance traits is guided by the present level of genetic variation and maternal impact in each trait, as well as the genetic association between traits. This study was conducted on a population of Mecheri sheep maintained from 1980 to 2018 at Mecheri Sheep Research Station, Pottaneri, India, to determine variance and covariance components, as well as genetic parameters for various production performance traits. A total of 2616 lambs, produced by 1044 dams and 226 sires, were examined in the study and the production traits of Mecheri sheep assessed include birth weight (BW), weaning weight (WW), six-month weight (SMW), nine-month weight (NMW), and yearling weight (YW). The Bayesian approach, using the Gibbs sampler, analyzed six animal models with different combinations of additive direct and maternal additive effects. Direct genetics, maternal genetics, and residual effects models were the major contributors to total phenotypic variation for all the production traits studied. Direct heritability estimates of birth weight, WW, SMW, NMW, and YW were 0.25, 0.20, 0.12, 0.14, and 0.13, respectively. The maternal heritability estimated for BW, WW, SMW, NMW, and YW were 0.17, 0.10, 0.12, 0.14, and 0.14, respectively. The maternal effects had a major impact on the pre-weaning production traits. The genetic correlations estimated between different pairs of production traits studied ranged from 0.19 to 0.93. The body weight at birth exhibited a higher genetic relationship with weaning weight than post-weaning growth characteristics, and the genetic correlation between weaning weight and post-weaning attributes was moderate to high (0.52 to 0.72). Based on the additive genetic variance in weaning weight and the correlation estimates of weaning weight with post-weaning traits, weaning weight was proposed as a selection criterion for improving growth traits in Mecheri sheep.

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Section: Discussioncontrasting

confidence: 85%

Section: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation

Balasundaram,

Muralidharan,

Murali

et al. 2023

PLoS ONE

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Multi-trait Bayesian analysis and genetic parameter estimates in production characters of Mecheri sheep of India

Thiruvenkadan¹,

Muralidharan

Ramanujam³

et al. 2022

Trop Anim Health Prod

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The present study was conducted to calculate the genetic parameters for direct and maternal in uences on Mecheri sheep growth features by Bayesian analysis using multi-trait animal model for designing suitable breeding application and genetic assessment methodologies. The genetic determinants for varying body weights at different ages were calculated using data from 2825 Mecheri lambs born between 2010 and 2020 that were kept in a warm and semiarid climate. Mecheri sheep body weight (mean ± SE) at various stages viz., BW, WW and BW12 were 2.6 ± 0.01, 11.1 ± 0.05 and 20.7 ± 0.13 kg respectively. The direct estimates of heritability (± SD) for BW, WW, BW6 and BW12 were 0.21 ± 0.041, 0.21 ± 0.041, 0.12 ± 0.052 and 0.13 ± 0.053 respectively and the maternal heritability for BW, WW, BW6 and BW12 was 0.18 ± 0.021, 0.08 ± 0.023, 0.11 ± 0.022 and 0.13 ± 0.033, respectively. Estimates of maternal heritability suggests that even at later stages, there were considerable maternal effects. For several growth traits, positive estimates of additive genetic connections were observed, with values ranging from low to high. The additive genetic correlation between WW and BW6, BW9 and BW12 was 0.70 ± 0.145, 0.57 ± 0.171 and 0.50 ± 0.194. The maternal genetic correlations ranged from 0.06 ± 0.152 (BW-BW12) to 0.86 ± 0.046 (BW6-BW9) and the residual correlation increased progressively from 0.18 ± 0.034 (BW-WW) to 0.85 ± 0.013 (BW9-BW12). The medium to high estimates of heritability and genetic correlation of body weight parameters at various ages in Mecheri sheep indicated the genetic potential for all traits. In general, the features WW and BW6 both refer to the same genetic growth process, hence, it is recommended to undertake single trait selection based on weight at weaning age rather than using the present selection procedure of weight at six-month of age. By choosing the top performers from the Mecheri sheep ocks, it is possible to take advantage of the strong genetic potential for improvement in these parameters.

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Comparative evaluation of different animal models for genetic analysis of body weight traits in an organized Corriedale sheep population

Ahmad

Khan

Ganai

et al. 2022

Small Ruminant Research

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Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach

Cited by 7 publications

References 27 publications

Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation

Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation

Multi-trait Bayesian analysis and genetic parameter estimates in production characters of Mecheri sheep of India

Comparative evaluation of different animal models for genetic analysis of body weight traits in an organized Corriedale sheep population

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