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Bayesian analysis reveals the influence of maternal effect on pre-weaning body weights in Landlly piglets

Published online by Cambridge University Press:  28 April 2022

Sheikh Firdous Ahmad ,
Gyanendra Kumar Gaur Open the ORCID record for Gyanendra Kumar Gaur [Opens in a new window] ,
Snehasmita Panda ,
Anuj Chauhan ,
Triveni Dutt  and
Bharat Bhushan
Sheikh Firdous Ahmad
Affiliation:
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
Gyanendra Kumar Gaur*
Affiliation:
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
Snehasmita Panda
Affiliation:
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
Anuj Chauhan
Affiliation:
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
Triveni Dutt
Affiliation:
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
Bharat Bhushan
Affiliation:
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India
*
Author for correspondence: Gyanendra Kumar Gaur. Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, UP, India. E-mail: gyanendrakg@gmail.com
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Summary

The present study was undertaken to estimate the (co)variance components and genetic parameters of body weights recorded in Landlly piglets from birth to weaning at weekly intervals (w0 to w6). The data pertained to body weights of 2462 piglets, born to 91 sires and 159 dams across different generations during a 7-year period from 2014 to 2020. Five animal models (I–V), differentiated by inclusion or exclusion of maternal effects with or without covariance between maternal and direct genetic effects, were fitted on the data using the Bayesian algorithm. The analyses were implemented by Gibbs sampling in the BLUPF90 program and Markov chain Monte Carlo (MCMC) methodology was used to draw samples of posterior distribution pertaining to (co)variance components. Based on deviance information criteria (DIC), model V with inclusion of direct additive genetic, direct maternal genetic and permanent environmental effect of dam as random factors along with covariance between direct additive and maternal effects best fitted the data on pre-weaning traits (w0 to w5). Whereas, model I incorporating only the direct additive genetic effect best fitted the weaning weight (w6) data in Landlly piglets. The posterior mean estimates of direct heritability under the best models for W0 to W6 were 0.13, 0.19, 0.29, 0.13, 0.26, 0.32 and 0.46, respectively. Inclusion of the maternal component helped in better partitioning of variance for different body weights in Landlly piglets. The maternal heritability ranged from 0.06 to 0.14, while the litter heritability ranged from 0.11 to 0.15 for pre-weaning weights (W0 to W5) under the best-fit models. The influence of maternal environment was greater than maternal genetic effect from birth to 4th week of age. The results implied that variations in body weight of Landlly pigs were genetically controlled to moderate levels (especially w2 and w4) with contributions from direct additive and maternal genotype that can be exploited by designing efficient breeding programmes.

Keywords

Best fitCovarianceDICEnvironmentHeritabilityRandom
Type
Research Article
Information
Zygote , Volume 30 , Issue 5 , October 2022 , pp. 625 - 632
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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