Article (Scientific journals)
Alternative count Bayesian models for genetic evaluation of litter traits in pigs
Teixeira Silva, Hugo; Botelho Diniz Marques, Daniele; Sávio Lopes, Paulo et al.
2019In Livestock Science, 225, p. 140-143
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Keywords :
Hurdle Poisson model; Bayesian inference; Reproductive traits
Abstract :
[en] We compared Hurdle Poisson (Hupoisson), Zero Inflated Poisson (Zipoisson), Poisson and Gaussian Bayesian mixed models for genetic evaluation of litter traits in pigs (number of piglets born alive – NBA; number of piglets weaned – NW; and mortality during the suckling period – MORT). The models’ goodness-of-fit was based on Deviance Information Criteria (DIC), Model Posterior Probabilities (MPP) and Mean Square Error (MSE). The Hupoisson model provided the best fit to MORT, even showing higher heritability estimate (0.13, with credibility interval from 0.0745 to 0.2809). The Hupoisson model proposed in the present study was suitable for genetic evaluation of mortality during the suckling period, and can be indicated as a novel approach to treat count data with excess of zeros under a genetic and breeding viewpoint. The Gaussian model outperformed the other models for NBA and NW.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Teixeira Silva, Hugo
Botelho Diniz Marques, Daniele
Sávio Lopes, Paulo
De Paiva, José Teodoro ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Veroneze, Renata
Gomes Camargo, Ederson
Pereira de Figueiredo, Elisio Antonio
Fonseca e Silva, Fabyano
Language :
English
Title :
Alternative count Bayesian models for genetic evaluation of litter traits in pigs
Publication date :
July 2019
Journal title :
Livestock Science
ISSN :
1871-1413
eISSN :
1878-0490
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
225
Pages :
140-143
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 01 July 2019

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