Literature DB >> 19966158

Genetic parameters of piglet survival and birth weight from a two-generation crossbreeding experiment under outdoor conditions designed to disentangle direct and maternal effects.

R Roehe1, N P Shrestha, W Mekkawy, E M Baxter, P W Knap, K M Smurthwaite, S Jarvis, A B Lawrence, S A Edwards.   

Abstract

Multivariate Bayesian linear-threshold models were used to estimate genetic parameters of peri- and postnatal piglet survival and individual birth weight of piglets reared under outdoor conditions. Data of 21,835 individual piglet observations were available from a 2-generation crossbreeding experiment selected for direct and maternal genetic effects of postnatal piglet survival on piglet and dam levels, respectively. In the first generation, approximately one-half of the Landrace sires used were selected for large or average breeding values of maternal genetic effects on postnatal piglet survival, whereas in the second generation the Large White sires used were selected for direct genetic effects of the same trait. Estimates of direct and maternal heritability were 0.21 and 0.15, 0.24 and 0.14, and 0.36 and 0.28 for piglet survival at birth and during the nursing period, and individual birth weight, respectively. In particular, direct heritabilities are substantially larger than those from the literature estimated for indoor-reared piglets, suggesting that genetic effects of these traits are substantially greater under outdoor conditions. Direct or maternal genetic correlations between survival traits or with birth weight were small (ranging from 0.06 to 0.17), indicating that peri- and postnatal survival are genetically under rather different control, and survival was only slightly positively influenced by birth weight. There were significant (P < 0.05) negative genetic correlations between direct and maternal genetic effects within each of the analyzed traits ranging from -0.36 to -0.45, which have to be considered when selecting for piglet survival. Adjustment of traits for litter size or inclusion of genetic groups showed insignificant effects on the magnitude of the estimated genetic parameters. The magnitude of genetic parameters suggested that there is substantial potential for genetic improvement of survival traits and birth weight in direct and maternal genetic effects, especially when piglets are kept under outdoor conditions.

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Year:  2009        PMID: 19966158     DOI: 10.2527/jas.2009-2287

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

1.  Genetic and phenotypic parameters for litter size, survival rate, gestation length, and litter weight traits in American mink.

Authors:  Karim Karimi; Mehdi Sargolzaei; Graham Stuart Plastow; Zhiquan Wang; Younes Miar
Journal:  J Anim Sci       Date:  2018-06-29       Impact factor: 3.159

2.  Estimation of direct and maternal genetic parameters for individual birth weight, weaning weight, and probe weight in Yorkshire and Landrace pigs.

Authors:  Kristen Alves; Flavio S Schenkel; Luiz F Brito; Andy Robinson
Journal:  J Anim Sci       Date:  2018-06-29       Impact factor: 3.159

3.  Untangling the positive genetic correlation between rainbow trout growth and survival.

Authors:  Harri Vehviläinen; Antti Kause; Hanna Kuukka-Anttila; Heikki Koskinen; Tuija Paananen
Journal:  Evol Appl       Date:  2012-11       Impact factor: 5.183

4.  Genetic and phenotypic correlations between performance traits with meat quality and carcass characteristics in commercial crossbred pigs.

Authors:  Younes Miar; Graham Plastow; Heather Bruce; Stephen Moore; Ghader Manafiazar; Robert Kemp; Patrick Charagu; Abe Huisman; Benny van Haandel; Chunyan Zhang; Robert McKay; Zhiquan Wang
Journal:  PLoS One       Date:  2014-10-28       Impact factor: 3.240

5.  Evaluation of direct and maternal responses in reproduction traits based on different selection strategies for postnatal piglet survival in a selection experiment.

Authors:  Tuan Q Nguyen; Pieter W Knap; Geoff Simm; Sandra A Edwards; Rainer Roehe
Journal:  Genet Sel Evol       Date:  2021-03-15       Impact factor: 4.297

6.  Genome wide screening of candidate genes for improving piglet birth weight using high and low estimated breeding value populations.

Authors:  Lifan Zhang; Xiang Zhou; Jennifer J Michal; Bo Ding; Rui Li; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2014-02-07       Impact factor: 6.580

  6 in total

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