Avaliação genética de uma população multirracial Angus-Nelore
Ano de defesa: | 2017 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Santa Maria
Centro de Ciências Rurais |
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Zootecnia
|
Departamento: |
Zootecnia
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://repositorio.ufsm.br/handle/1/11335 |
Resumo: | The objective of this study was to evaluate the best model for the genetic evaluation for the trait average daily gain of weaning to post weaning (ADGWP), of a multiple-breed Nellore and Angus population, comprised of 49.634 animals sired by 34.006 dams and 793 sire, born between 1986 and 2015. The genetic evaluation for this population was performed through the methodology of Bayesian inference with the animal model and the criteria of choice were the Number of Parameters (Np), Deviance Information (DIC) and the conditional predictive ordinate (CPO). In the first chapter three models were tested: Traditional Animal Model (TAM), Multiple-Breed Animal Model With (MBAMW) and without segregation (MBAMWS). Based on the selection criteria, the MBAMW was chosen because it presents better adjustments, besides presenting the smallest number of parameters, thus reducing the computational demand. In the second chapter, heteroscedastic multiple-breed models (HMBM) were tested. A 2×2 factorial scheme of two residual variance models (homoscedastic (HO) or heteroscedastic (HE)) was used based on two distributive assumptions (Gaussian (G) and Student’s t (T)). The HMBM-T-HE presented the best fit for the population in question. The Spearman's ordering correlations of the breeding values predicted for the sires were high when all animals were considered (0.93 to 0.99). However, when these sires were separated in TOP (10%) these correlations were reduced drastically (from 0.05 to 0.96). These results support the implementation of robust multibreed models that account for sources of heteroscedasticity to increase the accuracy of genetic assessments of multiple-breed populations. |
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2017-08-09T14:23:52Z2017-08-09T14:23:52Z2017-02-21http://repositorio.ufsm.br/handle/1/11335The objective of this study was to evaluate the best model for the genetic evaluation for the trait average daily gain of weaning to post weaning (ADGWP), of a multiple-breed Nellore and Angus population, comprised of 49.634 animals sired by 34.006 dams and 793 sire, born between 1986 and 2015. The genetic evaluation for this population was performed through the methodology of Bayesian inference with the animal model and the criteria of choice were the Number of Parameters (Np), Deviance Information (DIC) and the conditional predictive ordinate (CPO). In the first chapter three models were tested: Traditional Animal Model (TAM), Multiple-Breed Animal Model With (MBAMW) and without segregation (MBAMWS). Based on the selection criteria, the MBAMW was chosen because it presents better adjustments, besides presenting the smallest number of parameters, thus reducing the computational demand. In the second chapter, heteroscedastic multiple-breed models (HMBM) were tested. A 2×2 factorial scheme of two residual variance models (homoscedastic (HO) or heteroscedastic (HE)) was used based on two distributive assumptions (Gaussian (G) and Student’s t (T)). The HMBM-T-HE presented the best fit for the population in question. The Spearman's ordering correlations of the breeding values predicted for the sires were high when all animals were considered (0.93 to 0.99). However, when these sires were separated in TOP (10%) these correlations were reduced drastically (from 0.05 to 0.96). These results support the implementation of robust multibreed models that account for sources of heteroscedasticity to increase the accuracy of genetic assessments of multiple-breed populations.Este estudo teve como objetivo avaliar o melhor modelo para a avaliação genética para a característica de ganho médio diário da desmama ao sobreano (GMDD) de uma população multirracial Nelore e Angus formada por 49.634 animais filhos de 34.006 matrizes e 793 touros, nascidos entre 1986 e 2015. A avaliação genética para esta população foi realizada através da metodologia de inferência Bayesiana por meio de um modelo animal e os critérios de escolha foram o Número de Parâmetros (Np), de Informação da Deviance (DIC) e Ordenada Preditiva (CPO). No primeiro capítulo foram testados três modelos: Modelo Animal Tradicional (MAT), Modelo Animal Multirracial sem (MAMRSS) e com segregação (MAMRCS). Com base nos critérios de escolha, o MAMRSS foi escolhido por apresentar melhores ajustes, além de apresentar o menor número de parâmetros, reduzindo assim a demanda computacional. No segundo capítulo foram testados modelos multirraciais (MAMR) homo e heteroscedástico. Foi utilizado um esquema fatorial 2×2 de dois modelos de variância residual (homoscedástica (HO) ou heteroscedástica (HE)) baseado em dois pressupostos distributivos (Gaussiano (G) e t de Student (T)). O MAMR-T-HE foi o que apresentou melhor ajuste para a população em questão. As correlações de ordenamento de Spearman dos valores genéticos preditos, para os reprodutores, foram altas quando consideradas todos animais (0,93 a 0,99). No entanto, quando separados estes reprodutores em TOPs (10%) estas correlações foram reduzidas drasticamente (de 0,05 a 0,96). Estes resultados apoiam a implementação de modelos multirraciais robustos que contabilizam fontes de heteroscedasticidade para aumentar a precisão de avaliações genéticas de populações multirraciais.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/openAccessBovinos de corteGanho médio diárioHeterocedasticidadeAverage daily gainBeef cattleHeteroscedasticityCNPQ::CIENCIAS AGRARIAS::ZOOTECNIAAvaliação genética de uma população multirracial Angus-NeloreGenetic evaluation of a multibreed population Angus-Nelloreinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisRorato, Paulo Roberto Nogarahttp://lattes.cnpq.br/6804416984369871Schwengber, Eduardo Brumhttp://lattes.cnpq.br/9114290018329971Mello, Fernanda Cristina Bredahttp://lattes.cnpq.br/9702654931601290Braccini Neto, Joséhttp://lattes.cnpq.br/8008523281053209Oliveira, Maurício Morgadohttp://lattes.cnpq.br/8148153557539440http://lattes.cnpq.br/5914334583507434Prestes, Alan Miranda500400000002600600bb5914a5-24ef-4ddb-98d2-5e4c9314762b854e04a5-92a8-4587-ba56-477c95e34d2d00f9c70c-8221-4d1d-a908-8ecc79262133187bf72f-3a02-41c3-b657-a755036bb6605eb12e8e-5155-45eb-b86b-b3272ab72829395bae70-fd92-4cd7-8702-5ebc4dcae96creponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALPrestes, Alan Miranda.pdfPrestes, Alan Miranda.pdfTese de Doutoradoapplication/pdf862122http://repositorio.ufsm.br/bitstream/1/11335/1/Prestes%2c%20Alan%20Miranda.pdfb15fe345fbd4e8bab46547c67ebe04c5MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv |
Avaliação genética de uma população multirracial Angus-Nelore |
dc.title.alternative.eng.fl_str_mv |
Genetic evaluation of a multibreed population Angus-Nellore |
title |
Avaliação genética de uma população multirracial Angus-Nelore |
spellingShingle |
Avaliação genética de uma população multirracial Angus-Nelore Prestes, Alan Miranda Bovinos de corte Ganho médio diário Heterocedasticidade Average daily gain Beef cattle Heteroscedasticity CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
title_short |
Avaliação genética de uma população multirracial Angus-Nelore |
title_full |
Avaliação genética de uma população multirracial Angus-Nelore |
title_fullStr |
Avaliação genética de uma população multirracial Angus-Nelore |
title_full_unstemmed |
Avaliação genética de uma população multirracial Angus-Nelore |
title_sort |
Avaliação genética de uma população multirracial Angus-Nelore |
author |
Prestes, Alan Miranda |
author_facet |
Prestes, Alan Miranda |
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 |
Schwengber, Eduardo Brum |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/9114290018329971 |
dc.contributor.referee2.fl_str_mv |
Mello, Fernanda Cristina Breda |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/9702654931601290 |
dc.contributor.referee3.fl_str_mv |
Braccini Neto, José |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/8008523281053209 |
dc.contributor.referee4.fl_str_mv |
Oliveira, Maurício Morgado |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/8148153557539440 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5914334583507434 |
dc.contributor.author.fl_str_mv |
Prestes, Alan Miranda |
contributor_str_mv |
Rorato, Paulo Roberto Nogara Schwengber, Eduardo Brum Mello, Fernanda Cristina Breda Braccini Neto, José Oliveira, Maurício Morgado |
dc.subject.por.fl_str_mv |
Bovinos de corte Ganho médio diário Heterocedasticidade |
topic |
Bovinos de corte Ganho médio diário Heterocedasticidade Average daily gain Beef cattle Heteroscedasticity CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
dc.subject.eng.fl_str_mv |
Average daily gain Beef cattle Heteroscedasticity |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA |
description |
The objective of this study was to evaluate the best model for the genetic evaluation for the trait average daily gain of weaning to post weaning (ADGWP), of a multiple-breed Nellore and Angus population, comprised of 49.634 animals sired by 34.006 dams and 793 sire, born between 1986 and 2015. The genetic evaluation for this population was performed through the methodology of Bayesian inference with the animal model and the criteria of choice were the Number of Parameters (Np), Deviance Information (DIC) and the conditional predictive ordinate (CPO). In the first chapter three models were tested: Traditional Animal Model (TAM), Multiple-Breed Animal Model With (MBAMW) and without segregation (MBAMWS). Based on the selection criteria, the MBAMW was chosen because it presents better adjustments, besides presenting the smallest number of parameters, thus reducing the computational demand. In the second chapter, heteroscedastic multiple-breed models (HMBM) were tested. A 2×2 factorial scheme of two residual variance models (homoscedastic (HO) or heteroscedastic (HE)) was used based on two distributive assumptions (Gaussian (G) and Student’s t (T)). The HMBM-T-HE presented the best fit for the population in question. The Spearman's ordering correlations of the breeding values predicted for the sires were high when all animals were considered (0.93 to 0.99). However, when these sires were separated in TOP (10%) these correlations were reduced drastically (from 0.05 to 0.96). These results support the implementation of robust multibreed models that account for sources of heteroscedasticity to increase the accuracy of genetic assessments of multiple-breed populations. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-08-09T14:23:52Z |
dc.date.available.fl_str_mv |
2017-08-09T14:23:52Z |
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/1/11335 |
url |
http://repositorio.ufsm.br/handle/1/11335 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
500400000002 |
dc.relation.confidence.fl_str_mv |
600 600 |
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 |
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