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Mate selection in aquaculture breeding using differential evolution algorithm
Author(s) -
Yoshida Grazyella Massako,
Yáñez José Manuel,
Oliveira Carlos Antonio Lopes,
Ribeiro Ricardo Pereira,
Lhorente Jean Paul,
Queiroz Sandra Aidar,
Carvalheiro Roberto
Publication year - 2017
Publication title -
aquaculture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 89
eISSN - 1365-2109
pISSN - 1355-557X
DOI - 10.1111/are.13365
Subject(s) - truncation selection , selection (genetic algorithm) , inbreeding , biology , nile tilapia , mate choice , mating , genetic gain , inbreeding depression , best linear unbiased prediction , mating system , evolutionary biology , statistics , zoology , fishery , fish <actinopterygii> , genetic variation , genetics , computer science , population , machine learning , mathematics , demography , oreochromis , sociology , gene
An algorithm to perform mate selection in aquaculture breeding using a computational optimization procedure called “differential evolution” ( DE ) was applied under optimum contribution selection and mate selection scenarios, to assess its efficiency in maximizing the genetic merit while controlling inbreeding. Real aquaculture data sets with 8,782 Nile tilapias from five generations and 79,144 coho salmon from eight generations were used to optimize objective functions accounting for coancestry of parents and expected genetic merit and inbreeding of the future progeny. The mate selection results were compared with those from the realized scenario (real mates), truncation selection and optimum contribution selection method. Mate selection allowed reducing inbreeding up to 73% for Nile tilapia, compared with truncation selection, and up to 20% for coho salmon, compared with realized scenario. There was evidence that mate selection outperformed optimum contribution selection followed by minimum inbreeding mating in controlling inbreeding under the same expected genetic gain. The developed algorithm was computationally efficient in maximizing the objective functions and flexible for practical application in aquaculture breeding.