Literature DB >> 27878876

Estimation of total genetic effects for survival time in crossbred laying hens showing cannibalism, using pedigree or genomic information.

T Brinker1, B Raymond1, P Bijma1, A Vereijken2, E D Ellen1.   

Abstract

Mortality of laying hens due to cannibalism is a major problem in the egg-laying industry. Survival depends on two genetic effects: the direct genetic effect of the individual itself (DGE) and the indirect genetic effects of its group mates (IGE). For hens housed in sire-family groups, DGE and IGE cannot be estimated using pedigree information, but the combined effect of DGE and IGE is estimated in the total breeding value (TBV). Genomic information provides information on actual genetic relationships between individuals and might be a tool to improve TBV accuracy. We investigated whether genomic information of the sire increased TBV accuracy compared with pedigree information, and we estimated genetic parameters for survival time. A sire model with pedigree information (BLUP) and a sire model with genomic information (ssGBLUP) were used. We used survival time records of 7290 crossbred offspring with intact beaks from four crosses. Cross-validation was used to compare the models. Using ssGBLUP did not improve TBV accuracy compared with BLUP which is probably due to the limited number of sires available per cross (~50). Genetic parameter estimates were similar for BLUP and ssGBLUP. For both BLUP and ssGBLUP, total heritable variance (T2 ), expressed as a proportion of phenotypic variance, ranged from 0.03 ± 0.04 to 0.25 ± 0.09. Further research is needed on breeding value estimation for socially affected traits measured on individuals kept in single-family groups.
© 2016 The Authors. Journal of Animal Breeding and Genetics Published by Blackwell Verlag GmbH.

Entities:  

Keywords:  BLUP; laying hens; social interactions; ssGBLUP; total genetic effect

Mesh:

Year:  2016        PMID: 27878876     DOI: 10.1111/jbg.12245

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  4 in total

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Journal:  Genet Sel Evol       Date:  2021-01-04       Impact factor: 4.297

2.  Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information.

Authors:  Bjarke G Poulsen; Birgitte Ask; Hanne M Nielsen; Tage Ostersen; Ole F Christensen
Journal:  Genet Sel Evol       Date:  2020-10-07       Impact factor: 4.297

3.  Ant cuticular hydrocarbons are heritable and associated with variation in colony productivity.

Authors:  Justin Walsh; Luigi Pontieri; Patrizia d'Ettorre; Timothy A Linksvayer
Journal:  Proc Biol Sci       Date:  2020-06-10       Impact factor: 5.349

4.  The genetic architecture of socially-affected traits: a GWAS for direct and indirect genetic effects on survival time in laying hens showing cannibalism.

Authors:  Tessa Brinker; Piter Bijma; Addie Vereijken; Esther D Ellen
Journal:  Genet Sel Evol       Date:  2018-07-23       Impact factor: 4.297

  4 in total

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