Literature DB >> 14736405

Genetic improvement of laying hens viability using survival analysis.

V Ducrocq1, B Besbes, M Protais.   

Abstract

The survival of about eight generations of a large strain of laying hens was analysed separating the rearing period (RP) from the production period (PP), after hens were housed. For RP (respectively PP), 97.8% (resp., 94.1% ) of the 109,160 (resp., 100,665) female records were censored after 106 days (resp., 313 days) on the average. A Cox proportional hazards model stratified by flock (= season) and including a hatch-within-flock (HWF) fixed effect seemed to reasonably fit the RP data. For PP, this model could be further simplified to a non-stratified Weibull model. The extension of these models to sire-dam frailty (mixed) models permitted the estimation of the sire genetic variances at 0.261 +/- 0.026 and 0.088 +/- 0.010 for RP and PP, respectively. Heritabilities on the log scale were equal to 0.48 and 0.19. Non-additive genetic effects could not be detected. Selection was simulated by evaluating all sires and dams, after excluding all records from the last generation. Then, actual parents of this last generation were distributed into four groups according to their own pedigree index. Raw survivor curves of the progeny of extreme parental groups substantially differed (e.g., by 1.7% at 300 days for PP), suggesting that selection based on solutions from the frailty models could be efficient, despite the very large proportion of censored records.

Entities:  

Year:  2000        PMID: 14736405      PMCID: PMC2706858          DOI: 10.1186/1297-9686-32-1-23

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


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  3 in total

1.  Genetic parameters for social effects on survival in cannibalistic layers: combining survival analysis and a linear animal model.

Authors:  Esther D Ellen; Vincent Ducrocq; Bart J Ducro; Roel F Veerkamp; Piter Bijma
Journal:  Genet Sel Evol       Date:  2010-07-07       Impact factor: 4.297

2.  Quantitative genetics of Taura syndrome resistance in Pacific white shrimp (Penaeus vannamei): a cure model approach.

Authors:  Jørgen Ødegård; Thomas Gitterle; Per Madsen; Theo H E Meuwissen; M Hossein Yazdi; Bjarne Gjerde; Carlos Pulgarin; Morten Rye
Journal:  Genet Sel Evol       Date:  2011-03-21       Impact factor: 4.297

3.  Predicting direct and indirect breeding values for survival time in laying hens using repeated measures.

Authors:  Tessa Brinker; Esther D Ellen; Roel F Veerkamp; Piter Bijma
Journal:  Genet Sel Evol       Date:  2015-09-28       Impact factor: 4.297

  3 in total

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