Optimum contribution for mate selection in Santa Inês sheep
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Zootecnia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100401 |
Resumo: | ABSTRACT The objective of this research was to simulate the genetic gains expected comparing random mating strategies and mate selection by optimum contribution with different penalty levels in the inbreeding rate of Santa Inês sheep. The optimum contribution theory was thus applied to optimize genetic gain in the long term in twelve selection groups by selectively mating 500 females with the respective males, increasingly penalizing the increase in inbreeding in the objective function. Genetic algorithms were used to find the optimum contribution. Optimization was achieved via EVA software. Selection candidates had their contribution defined into four treatments, using different values to weigh the genetic merit and penalize increases in inbreeding. This made it possible to measure the degree of control over those parameters that can be obtained with this methodology. This selection offers different levels of genetic gain, which are achievable from restrictions on the coancestry. The number of males selected and their distribution into selection groups varied according to the penalty attributed to inbreeding in the objective function. Mate selection using optimum contribution should be adopted when aiming to limit the increase in inbreeding. Increasing the exchange of genetic material between groups is recommended to elevate genetic gain and maintain control over inbreeding. |
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Optimum contribution for mate selection in Santa Inês sheepEVAgenetic algorithmsgenetic contribution theorymathematical optimizationselective matingABSTRACT The objective of this research was to simulate the genetic gains expected comparing random mating strategies and mate selection by optimum contribution with different penalty levels in the inbreeding rate of Santa Inês sheep. The optimum contribution theory was thus applied to optimize genetic gain in the long term in twelve selection groups by selectively mating 500 females with the respective males, increasingly penalizing the increase in inbreeding in the objective function. Genetic algorithms were used to find the optimum contribution. Optimization was achieved via EVA software. Selection candidates had their contribution defined into four treatments, using different values to weigh the genetic merit and penalize increases in inbreeding. This made it possible to measure the degree of control over those parameters that can be obtained with this methodology. This selection offers different levels of genetic gain, which are achievable from restrictions on the coancestry. The number of males selected and their distribution into selection groups varied according to the penalty attributed to inbreeding in the objective function. Mate selection using optimum contribution should be adopted when aiming to limit the increase in inbreeding. Increasing the exchange of genetic material between groups is recommended to elevate genetic gain and maintain control over inbreeding.Sociedade Brasileira de Zootecnia2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100401Revista Brasileira de Zootecnia v.50 2021reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.37496/rbz5020190108info:eu-repo/semantics/openAccessSarmento,José Lindenberg RochaBarbosa,Leandro TeixeiraBarreto Neto,Arnaldo DantasCeleste,Alcigeimes BatistaSantos,Natanael Pereira da Silvaeng2021-03-03T00:00:00Zoai:scielo:S1516-35982021000100401Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2021-03-03T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false |
dc.title.none.fl_str_mv |
Optimum contribution for mate selection in Santa Inês sheep |
title |
Optimum contribution for mate selection in Santa Inês sheep |
spellingShingle |
Optimum contribution for mate selection in Santa Inês sheep Sarmento,José Lindenberg Rocha EVA genetic algorithms genetic contribution theory mathematical optimization selective mating |
title_short |
Optimum contribution for mate selection in Santa Inês sheep |
title_full |
Optimum contribution for mate selection in Santa Inês sheep |
title_fullStr |
Optimum contribution for mate selection in Santa Inês sheep |
title_full_unstemmed |
Optimum contribution for mate selection in Santa Inês sheep |
title_sort |
Optimum contribution for mate selection in Santa Inês sheep |
author |
Sarmento,José Lindenberg Rocha |
author_facet |
Sarmento,José Lindenberg Rocha Barbosa,Leandro Teixeira Barreto Neto,Arnaldo Dantas Celeste,Alcigeimes Batista Santos,Natanael Pereira da Silva |
author_role |
author |
author2 |
Barbosa,Leandro Teixeira Barreto Neto,Arnaldo Dantas Celeste,Alcigeimes Batista Santos,Natanael Pereira da Silva |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Sarmento,José Lindenberg Rocha Barbosa,Leandro Teixeira Barreto Neto,Arnaldo Dantas Celeste,Alcigeimes Batista Santos,Natanael Pereira da Silva |
dc.subject.por.fl_str_mv |
EVA genetic algorithms genetic contribution theory mathematical optimization selective mating |
topic |
EVA genetic algorithms genetic contribution theory mathematical optimization selective mating |
description |
ABSTRACT The objective of this research was to simulate the genetic gains expected comparing random mating strategies and mate selection by optimum contribution with different penalty levels in the inbreeding rate of Santa Inês sheep. The optimum contribution theory was thus applied to optimize genetic gain in the long term in twelve selection groups by selectively mating 500 females with the respective males, increasingly penalizing the increase in inbreeding in the objective function. Genetic algorithms were used to find the optimum contribution. Optimization was achieved via EVA software. Selection candidates had their contribution defined into four treatments, using different values to weigh the genetic merit and penalize increases in inbreeding. This made it possible to measure the degree of control over those parameters that can be obtained with this methodology. This selection offers different levels of genetic gain, which are achievable from restrictions on the coancestry. The number of males selected and their distribution into selection groups varied according to the penalty attributed to inbreeding in the objective function. Mate selection using optimum contribution should be adopted when aiming to limit the increase in inbreeding. Increasing the exchange of genetic material between groups is recommended to elevate genetic gain and maintain control over inbreeding. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100401 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100401 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.37496/rbz5020190108 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
dc.source.none.fl_str_mv |
Revista Brasileira de Zootecnia v.50 2021 reponame:Revista Brasileira de Zootecnia (Online) instname:Sociedade Brasileira de Zootecnia (SBZ) instacron:SBZ |
instname_str |
Sociedade Brasileira de Zootecnia (SBZ) |
instacron_str |
SBZ |
institution |
SBZ |
reponame_str |
Revista Brasileira de Zootecnia (Online) |
collection |
Revista Brasileira de Zootecnia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ) |
repository.mail.fl_str_mv |
||bz@sbz.org.br|| secretariarbz@sbz.org.br |
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1750318154108633088 |