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dc.contributor.authorFONTOURA, D. N.eng
dc.contributor.authorCAMARGO, S. S.eng
dc.contributor.authorCARDOSO, F. F.eng
dc.date.accessioned2019-06-22T00:35:49Z-
dc.date.available2019-06-22T00:35:49Z-
dc.date.created2019-06-21
dc.date.issued2019
dc.identifier.citationIn: ICAR CONFERENCE & IDF/ISO ANALYTICAL WEEK, 2019, Prague. Final programme: book of abstracts. Prague: Ministry of Agriculture of the Czech Republic, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1109986-
dc.descriptionThis work presents an approach, based on algorithm heuristics, which after the selection of bulls and cows belonging to a mating group, recommends the best combinations of mating to maximize the GQI, taking into account both: directional values of expected differences of progeny and penalizations on mating restrictions, such as inbreeding and poor expected performance on traits.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleOptimizing mate selection: a genetic algorithms approach.eng
dc.typeResumo em anais e proceedingseng
dc.date.updated2019-08-23T11:11:11Z
dc.subject.thesagroGado de Corteeng
dc.subject.thesagroAcasalamento Controladoeng
dc.subject.thesagroAnáliseeng
dc.subject.thesagroPerformanceeng
dc.format.extent2p. 54-55.eng
riaa.ainfo.id1109986eng
riaa.ainfo.lastupdate2019-08-23 -03:00:00
dc.contributor.institutionDiego N. Fontoura, UNIPAMPA; Sandro S. Camargo, UNIPAMPA; FERNANDO FLORES CARDOSO, CPPSUL.eng
Aparece en las colecciones:Resumo em anais de congresso (CPPSUL)

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