Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109986
Title: Optimizing mate selection: a genetic algorithms approach.
Authors: FONTOURA, D. N.
CAMARGO, S. S.
CARDOSO, F. F.
Affiliation: Diego N. Fontoura, UNIPAMPA; Sandro S. Camargo, UNIPAMPA; FERNANDO FLORES CARDOSO, CPPSUL.
Date Issued: 2019
Citation: In: ICAR CONFERENCE & IDF/ISO ANALYTICAL WEEK, 2019, Prague. Final programme: book of abstracts. Prague: Ministry of Agriculture of the Czech Republic, 2019.
Pages: p. 54-55.
Description: This 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.
Thesagro: Gado de Corte
Acasalamento Controlado
Análise
Performance
Language: en
Type of Material: Parte de livro
Access: openAccess
Appears in Collections:Resumo em anais de congresso (CPPSUL)

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