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Stopping criteria for genetic improvement software for beef-cattle mating selection

Authors :
Ezequiel Luís Vidal
Sandro da Silva Camargo
Fernando Flores Cardoso
Source :
Pesquisa Agropecuária Brasileira, Vol 58 (2023)
Publication Year :
2023
Publisher :
Embrapa Informação Tecnológica, 2023.

Abstract

Abstract The objective of this work was to propose a new stopping criterion to shorten the computing time of the PampaPlus genetic improvement software, while maximizing the genetic qualification index (GQI) of the progeny, controlling inbreeding, and avoiding unintended culling. Data from two beef-cattle herds integrating PampaPlus were used. Five mating scenarios were built using different numbers of sires (9 to 37) and dams (142 to 568). The analyzed algorithm inputs were: expected progeny differences, pedigree information, maximum inbreeding, maximum and minimum number of matches for each sire, and penalty weights for poor performance. The analyzed response variables were computing time and the GQI of the progenies. Three stopping criteria were used: original stopping criterion fixed at 1,000 iterations; saturation stopping criterion (SSC), based on GQI variance; and Bhandari’s stopping criterion (BSC), which includes the generation interval parameter. SSC and BSC reduced processing time in 24.43-53.64% and in 14.32-50.87%, respectively. BSC reaches solution in less time, without losses in GQI quality. BSC is generalizable and effective to reduce the processing time of mating recommendations.

Details

Language :
English, Spanish; Castilian, Portuguese
ISSN :
16783921
Volume :
58
Database :
Directory of Open Access Journals
Journal :
Pesquisa Agropecuária Brasileira
Publication Type :
Academic Journal
Accession number :
edsdoj.92c66d09f85d49d796ea23566f67c4a5
Document Type :
article
Full Text :
https://doi.org/10.1590/s1678-3921.pab2023.v58.02863