Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Manancial - Repositório Digital da UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/11352 |
Resumo: | The objective of this study was to evaluate, through simulation of data, different selection strategies adopted in a breeding program of swine and their impacts on levels of inbreeding and genetic gains. In addition to specifically estimating the impact of restrictions on the maximum number of sons and daughters by male or female and the impact of rates and productive losses on levels of inbreeding and genetic gain. Data from real populations A, composed of Pietrain pigs, and B, by Landrace pigs, used in this study, came from two genetic lines located on farms in the west of the Santa Catarina state. To generate the simulated populations, a Fortran language simulator was used in which the information of the real populations was used: two main input files, one containing the pedigree of the last 10 years, with 21,906 animals in population A and 251,343 animals in population B, And another one containing the estimated breeding values for age, backfat and feed conversion, all adjusted to 110 kg of live weight, for both populations, as well as depth of the longissimus dorsi muscle adjusted for 110 kg of live weight - only for population A, and number of live piglets at the 5th day of life, per farrowing, only for population B, of the selected animals in 2014 (Generation 0). In addition to the (co)variances of estimated breeding values, rates and productive and reproductive averages, number of mating and number of animals selected per generation. In each article, three scenarios were simulated: in article 1 the scenarios varied in the restrictions on the number of full siblings and half-siblings selected, for males and females, already in article 2 the variations in the scenarios were in the mortality rate in the lactation and farrowing rate. Ten generations were simulated, with 30 repetitions each generation and scenario. The results of the simulation of data in a breeding program of swine allow to conclude that: there is an increase in the inbreeding levels in a closed nucleus independent of the selection strategy used; the rate of inbreeding are larger in populations of smaller effective size; restrictions on the number of full siblings and half-siblings selected are efficient to reduce the rates of inbreeding, with the restriction of a maximum of two full-siblings and three half-siblings for males and three full-siblings for females, for having obtained the highest genetic gains, is indicated as a selection strategy to be adopted in these populations; there is an increase in the levels of consanguinity in a closed nucleus with an increase in productive and reproductive losses; the productive and reproductive losses reduce the variances of the estimated breeding values and, mainly, the intensities of selection, reducing the genetic gains; actions that maximize farrowing rates are preponderant to those that minimize mortality rates in the lactation, since the reduction in simulated farrowing rate has resulted in greater losses in genetic gains. |
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2017-08-14T12:15:49Z2017-08-14T12:15:49Z2017-02-21http://repositorio.ufsm.br/handle/1/11352The objective of this study was to evaluate, through simulation of data, different selection strategies adopted in a breeding program of swine and their impacts on levels of inbreeding and genetic gains. In addition to specifically estimating the impact of restrictions on the maximum number of sons and daughters by male or female and the impact of rates and productive losses on levels of inbreeding and genetic gain. Data from real populations A, composed of Pietrain pigs, and B, by Landrace pigs, used in this study, came from two genetic lines located on farms in the west of the Santa Catarina state. To generate the simulated populations, a Fortran language simulator was used in which the information of the real populations was used: two main input files, one containing the pedigree of the last 10 years, with 21,906 animals in population A and 251,343 animals in population B, And another one containing the estimated breeding values for age, backfat and feed conversion, all adjusted to 110 kg of live weight, for both populations, as well as depth of the longissimus dorsi muscle adjusted for 110 kg of live weight - only for population A, and number of live piglets at the 5th day of life, per farrowing, only for population B, of the selected animals in 2014 (Generation 0). In addition to the (co)variances of estimated breeding values, rates and productive and reproductive averages, number of mating and number of animals selected per generation. In each article, three scenarios were simulated: in article 1 the scenarios varied in the restrictions on the number of full siblings and half-siblings selected, for males and females, already in article 2 the variations in the scenarios were in the mortality rate in the lactation and farrowing rate. Ten generations were simulated, with 30 repetitions each generation and scenario. The results of the simulation of data in a breeding program of swine allow to conclude that: there is an increase in the inbreeding levels in a closed nucleus independent of the selection strategy used; the rate of inbreeding are larger in populations of smaller effective size; restrictions on the number of full siblings and half-siblings selected are efficient to reduce the rates of inbreeding, with the restriction of a maximum of two full-siblings and three half-siblings for males and three full-siblings for females, for having obtained the highest genetic gains, is indicated as a selection strategy to be adopted in these populations; there is an increase in the levels of consanguinity in a closed nucleus with an increase in productive and reproductive losses; the productive and reproductive losses reduce the variances of the estimated breeding values and, mainly, the intensities of selection, reducing the genetic gains; actions that maximize farrowing rates are preponderant to those that minimize mortality rates in the lactation, since the reduction in simulated farrowing rate has resulted in greater losses in genetic gains.O objetivo deste estudo foi avaliar, através de simulação de dados, diferentes estratégias de seleção adotadas em programa de melhoramento genético de suínos e seus impactos nos níveis de consanguinidade e ganhos genéticos. Além de, especificamente, estimar o impacto de restrições no número máximo de filhos e filhas por macho ou fêmea e o impacto de taxas e perdas produtivas nos níveis de consanguinidade do plantel e no ganho genético. Os dados das populações reais A, composta por suínos da raça Pietrain, e B, por suínos da raça Landrace, utilizados neste estudo, foram provenientes de duas linhagens localizadas em granjas no oeste do estado de Santa Catarina. Para gerar as populações simuladas foi desenvolvido um simulador em linguagem Fortran no qual utilizou-se as informações das populações reais: dois arquivos de dados iniciais, um contendo o pedigree dos últimos 10 anos, sendo 21.906 animais na população A e 251.343 animais na população B, e outro contendo os valores genéticos para idade, espessura de toucinho e conversão alimentar, todos ajustados para 110 kg de peso vivo, para ambas as populações, além de profundidade do músculo longissimus dorsi ajustada para 110 kg de peso vivo – somente para a população A e número de leitões vivos ao 5º dia de vida, por parto, somente para a população B, dos animais selecionados em 2014 (Geração 0), além das (co)variâncias dos valores genéticos, as taxas e médias produtivas e reprodutivas, restrições de número de coberturas e número de animais selecionados por geração. Em cada artigo foram simulados três cenários: no artigo 1 os cenários variaram nas restrições no número de irmãos completos e meios-irmãos selecionados, para machos e fêmeas, já no artigo 2 as variações nos cenários foram na taxa de mortalidade na lactação e taxa de parto. Foram simuladas dez gerações, com 30 repetições cada geração e cenário. Os resultados da simulação de dados em programa de melhoramento genético de suínos permitem concluir que: há incremento dos níveis de consanguinidade em núcleo de produção fechado independente da estratégia utilizada; os incrementos de consanguinidade são maiores em populações de tamanho efetivo menor; restrições no número de irmãos completos e meios-irmãos selecionados são eficientes para reduzir os incrementos de consanguinidade, sendo que a restrição de, no máximo, dois irmãos-completos e três meios-irmãos, para machos, e três irmãs-completas, para fêmeas, por ter obtido os maiores ganhos genéticos, é indicado como estratégia de seleção a ser adotada nestas populações; há incremento dos níveis de consanguinidade em núcleo de produção fechado com o aumento das perdas produtivas e reprodutivas; as perdas produtivas e reprodutivas reduzem as variâncias dos valores genéticos e, principalmente, as intensidades de seleção, reduzindo os ganhos genéticos; ações que maximizem as taxas de parição são preponderantes àquelas que minimizem as taxas de mortalidade na lactação, tendo em vista que a redução na taxa de parição simulada, resultou em maiores perdas nos ganhos genéticos.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em ZootecniaUFSMBrasilZootecniaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessEndogamiaGanho genéticoIrmão-completoMeio-irmãoTaxa de mortalidadeTaxa de pariçãoFarrowing rateFull-sibGenetic gainHalf-sibInbreedingMortality rateCNPQ::CIENCIAS AGRARIAS::ZOOTECNIAAvaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dadosEvaluation of strategies of selection in breeding program of swine through data simulationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisRorato, Paulo Roberto Nogarahttp://lattes.cnpq.br/6804416984369871Mello, Fernanda Cristina Bredahttp://lattes.cnpq.br/9702654931601290Oliveira, Maurício Morgado dehttp://lattes.cnpq.br/8148153557539440Schwengber, Eduardo Brumhttp://lattes.cnpq.br/9114290018329971Freitas, Marcelo Silva dehttp://lattes.cnpq.br/9192527003526748http://lattes.cnpq.br/1080544577282979Lopes, Jader Silva500400000002600bb5914a5-24ef-4ddb-98d2-5e4c9314762b4f0c3dab-5945-4c18-ba18-772a59be8a91e0b01437-76ad-4579-83d4-6cd084a3c44a0cac36a4-977e-4c19-8e1a-5c2f33eee614d1f95615-8060-456e-9c07-084f2dc4c9ba5eb46c4c-3d89-4dd2-80c9-fdee28520ef2reponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALLopes, Jader Silva.pdfLopes, Jader Silva.pdfTese de Doutoradoapplication/pdf889118http://repositorio.ufsm.br/bitstream/1/11352/1/Lopes%2c%20Jader%20Silva.pdf9a0de4486a30f654ec1552acb92ead18MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
dc.title.alternative.eng.fl_str_mv |
Evaluation of strategies of selection in breeding program of swine through data simulation |
title |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
spellingShingle |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados Lopes, Jader Silva Endogamia Ganho genético Irmão-completo Meio-irmão Taxa de mortalidade Taxa de parição Farrowing rate Full-sib Genetic gain Half-sib Inbreeding Mortality rate CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
title_short |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
title_full |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
title_fullStr |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
title_full_unstemmed |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
title_sort |
Avaliação de estratégias de seleção em programa de melhoramento genético de suínos por meio de simulação de dados |
author |
Lopes, Jader Silva |
author_facet |
Lopes, Jader Silva |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Rorato, Paulo Roberto Nogara |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6804416984369871 |
dc.contributor.referee1.fl_str_mv |
Mello, Fernanda Cristina Breda |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/9702654931601290 |
dc.contributor.referee2.fl_str_mv |
Oliveira, Maurício Morgado de |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/8148153557539440 |
dc.contributor.referee3.fl_str_mv |
Schwengber, Eduardo Brum |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/9114290018329971 |
dc.contributor.referee4.fl_str_mv |
Freitas, Marcelo Silva de |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/9192527003526748 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1080544577282979 |
dc.contributor.author.fl_str_mv |
Lopes, Jader Silva |
contributor_str_mv |
Rorato, Paulo Roberto Nogara Mello, Fernanda Cristina Breda Oliveira, Maurício Morgado de Schwengber, Eduardo Brum Freitas, Marcelo Silva de |
dc.subject.por.fl_str_mv |
Endogamia Ganho genético Irmão-completo Meio-irmão Taxa de mortalidade Taxa de parição |
topic |
Endogamia Ganho genético Irmão-completo Meio-irmão Taxa de mortalidade Taxa de parição Farrowing rate Full-sib Genetic gain Half-sib Inbreeding Mortality rate CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
dc.subject.eng.fl_str_mv |
Farrowing rate Full-sib Genetic gain Half-sib Inbreeding Mortality rate |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
description |
The objective of this study was to evaluate, through simulation of data, different selection strategies adopted in a breeding program of swine and their impacts on levels of inbreeding and genetic gains. In addition to specifically estimating the impact of restrictions on the maximum number of sons and daughters by male or female and the impact of rates and productive losses on levels of inbreeding and genetic gain. Data from real populations A, composed of Pietrain pigs, and B, by Landrace pigs, used in this study, came from two genetic lines located on farms in the west of the Santa Catarina state. To generate the simulated populations, a Fortran language simulator was used in which the information of the real populations was used: two main input files, one containing the pedigree of the last 10 years, with 21,906 animals in population A and 251,343 animals in population B, And another one containing the estimated breeding values for age, backfat and feed conversion, all adjusted to 110 kg of live weight, for both populations, as well as depth of the longissimus dorsi muscle adjusted for 110 kg of live weight - only for population A, and number of live piglets at the 5th day of life, per farrowing, only for population B, of the selected animals in 2014 (Generation 0). In addition to the (co)variances of estimated breeding values, rates and productive and reproductive averages, number of mating and number of animals selected per generation. In each article, three scenarios were simulated: in article 1 the scenarios varied in the restrictions on the number of full siblings and half-siblings selected, for males and females, already in article 2 the variations in the scenarios were in the mortality rate in the lactation and farrowing rate. Ten generations were simulated, with 30 repetitions each generation and scenario. The results of the simulation of data in a breeding program of swine allow to conclude that: there is an increase in the inbreeding levels in a closed nucleus independent of the selection strategy used; the rate of inbreeding are larger in populations of smaller effective size; restrictions on the number of full siblings and half-siblings selected are efficient to reduce the rates of inbreeding, with the restriction of a maximum of two full-siblings and three half-siblings for males and three full-siblings for females, for having obtained the highest genetic gains, is indicated as a selection strategy to be adopted in these populations; there is an increase in the levels of consanguinity in a closed nucleus with an increase in productive and reproductive losses; the productive and reproductive losses reduce the variances of the estimated breeding values and, mainly, the intensities of selection, reducing the genetic gains; actions that maximize farrowing rates are preponderant to those that minimize mortality rates in the lactation, since the reduction in simulated farrowing rate has resulted in greater losses in genetic gains. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-08-14T12:15:49Z |
dc.date.available.fl_str_mv |
2017-08-14T12:15:49Z |
dc.date.issued.fl_str_mv |
2017-02-21 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/11352 |
url |
http://repositorio.ufsm.br/handle/1/11352 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
500400000002 |
dc.relation.confidence.fl_str_mv |
600 |
dc.relation.authority.fl_str_mv |
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dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Rurais |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Zootecnia |
dc.publisher.initials.fl_str_mv |
UFSM |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Zootecnia |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Rurais |
dc.source.none.fl_str_mv |
reponame:Manancial - Repositório Digital da UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Manancial - Repositório Digital da UFSM |
collection |
Manancial - Repositório Digital da UFSM |
bitstream.url.fl_str_mv |
http://repositorio.ufsm.br/bitstream/1/11352/1/Lopes%2c%20Jader%20Silva.pdf http://repositorio.ufsm.br/bitstream/1/11352/2/license_rdf http://repositorio.ufsm.br/bitstream/1/11352/3/license.txt http://repositorio.ufsm.br/bitstream/1/11352/4/Lopes%2c%20Jader%20Silva.pdf.txt http://repositorio.ufsm.br/bitstream/1/11352/5/Lopes%2c%20Jader%20Silva.pdf.jpg |
bitstream.checksum.fl_str_mv |
9a0de4486a30f654ec1552acb92ead18 c1efe8e24d7281448e873be30ea326ff 2f0571ecee68693bd5cd3f17c1e075df dd9472df3fe3b0f242194daaab9d3802 8647ebaab41b8aeb4d163f4cb4c7f258 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
|
_version_ |
1801223810193555456 |