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
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CPPSUL)