Advanced genetic models for Piétrain boars involved in crossbreeding in the Walloon Region using test station and on-farm phenotypic and genomic data

Since 2007 the Walloon Region is acquiring a new advanced genetic evaluation program for Piétrain boars. Comprehensive models for routine genetic evaluation of boars involved in crossbreeding programs, using simultaneously data recorded on crossbred progeny at central test station and data recorded on-farm on purebred or crossbred pigs, are under development. Traits evaluated include growth, carcass quality traits and feed intake. Estimated breeding values allow breeders to select the best boars according to their selection objectives. But to have comprehensive models for crossbreeding perform... Mehr ...

Verfasser: Dufrasne, Marie
Jaspart, Véronique
Wavreille, José
Gengler, Nicolas
Dokumenttyp: conference poster not in proceedings
Erscheinungsdatum: 2012
Schlagwörter: genetic evaluations / crossbreeding / pigs / Life sciences / Animal production & animal husbandry / Genetics & genetic processes / Sciences du vivant / Productions animales & zootechnie / Génétique & processus génétiques
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29698439
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://orbi.uliege.be/handle/2268/118037

Since 2007 the Walloon Region is acquiring a new advanced genetic evaluation program for Piétrain boars. Comprehensive models for routine genetic evaluation of boars involved in crossbreeding programs, using simultaneously data recorded on crossbred progeny at central test station and data recorded on-farm on purebred or crossbred pigs, are under development. Traits evaluated include growth, carcass quality traits and feed intake. Estimated breeding values allow breeders to select the best boars according to their selection objectives. But to have comprehensive models for crossbreeding performances, more advanced modelling of non-additive and crossbreeding effects will be added to current models. Additionally potential use of genomic information will be explored.