{"title":"Stopping criteria for genetic improvement software for beef-cattle mating selection","authors":"Ezequiel Luís Vidal, S. D. S. Camargo, F. Cardoso","doi":"10.1590/s1678-3921.pab2023.v58.02863","DOIUrl":null,"url":null,"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.","PeriodicalId":19826,"journal":{"name":"Pesquisa Agropecuaria Brasileira","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pesquisa Agropecuaria Brasileira","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1590/s1678-3921.pab2023.v58.02863","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Pesquisa Agropecuária Brasileira – PAB – is issued monthly by Empresa Brasileira de Pesquisa Agropecuária – EMBRAPA, affiliated to Ministry of Agriculture, Livestock and Food Supply. PAB publishes original scientific-technological articles on Plant Physiology, Plant Pathology, Crop Science, Genetics, Soil Science, Food Technology and Animal Science.
Its abbreviated title is Pesq. agropec. bras., and it should be used in bibliographies, footnotes, references and bibliographic strips.