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dc.date.accessioned 2023-04-19T17:01:03Z
dc.date.available 2023-04-19T17:01:03Z
dc.date.issued 2022
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/151781
dc.description.abstract Animal breeding involves directing the next generation’s genetics and phenotypic traits towards animal health and financial profits for the production system, using essentially two strategies: the selection and the mating systems. The mating system aims to provide a set of sire-dam pairs, producing the best animals according to some selection criteria and a mating strategy for the animals chosen for reproduction. This paper presents an R-package to compute the best pairing scheme to obtain optimal polynomial-time solutions for either mating between peers or compensatory mating. The algorithm for optimal mating runs in worst-case O(nm)-time while the compensatory mating takes O(m³), where n is the number of sires and m is the number of dams. en
dc.format.extent 81-92 es
dc.language en es
dc.subject animal breeding es
dc.subject mating systems es
dc.subject assignment problem es
dc.title Optimal algorithms for mating systems using selection indexes en
dc.type Objeto de conferencia es
sedici.identifier.uri https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/419/355 es
sedici.identifier.issn 2451-7496 es
sedici.creator.person Lüdtke Ferreira, Ana Paula es
sedici.creator.person Sayyed de Souza, Renato es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias Ciencias Agrarias es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2022-10
sedici.relation.event Congreso de AgroInformática (CAI 2022) - JAIIO 51 (Modalidad virtual y presencial (UAI), octubre 2022) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)