dc.creator | Lüdtke Ferreira, Ana Paula | |
dc.creator | Sayyed de Souza, Renato | |
dc.date | 2022-10 | |
dc.date | 2022 | |
dc.date | 2023-04-19T17:01:03Z | |
dc.date.accessioned | 2023-07-15T10:14:41Z | |
dc.date.available | 2023-07-15T10:14:41Z | |
dc.identifier | http://sedici.unlp.edu.ar/handle/10915/151781 | |
dc.identifier | https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/419/355 | |
dc.identifier | issn:2451-7496 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7491128 | |
dc.description | 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. | |
dc.description | Sociedad Argentina de Informática e Investigación Operativa | |
dc.format | application/pdf | |
dc.format | 81-92 | |
dc.language | en | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
dc.subject | Ciencias Informáticas | |
dc.subject | Ciencias Agrarias | |
dc.subject | animal breeding | |
dc.subject | mating systems | |
dc.subject | assignment problem | |
dc.title | Optimal algorithms for mating systems using selection indexes | |
dc.type | Objeto de conferencia | |
dc.type | Objeto de conferencia | |