Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora

Detalhes bibliográficos
Autor(a) principal: Leal, Guilherme Brunno de Medeiros
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFG
dARK ID: ark:/38995/0013000001cf3
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/11714
Resumo: The present work aimed to investigate the relationship between the productive characteristics and to identify the factors that affect the number of weaned piglets (NLD) per sow/year, the accumulated productivity in kilograms (kg) of weaned piglets (LD) per sow/year and the productive longevity of swine breeders in order to support the selection process of a breeding farm. In chapter 2, factor analyzes were performed in order to understand the relationship between the characteristics and multiple linear regression to identify the main predictor variables for the variables NLD per matrix/year and accumulated productivity in kg of LD per matrix/year. In chapter 3, the females were evaluated as to their longevity, according to two distinct stayability criteria, STAY1 and STAY2, which consider as longevity, respectively, the females that presented the number of live born piglets (NLNV) and kilogram of piglets weaned to the fourth parturition above the herd average. It was identified by the main latent factors that 55% variance between breeders on the farm is explained by the characteristics of maternal ability, piglet viability, fertility and perinatal mortality. The best regression models for prediction explained approximately 66% of the variation both for the NLD traits and for the total weight of weaned piglets adjusted for 21 days (PTD21), evidencing the characteristics number of stillborn piglets (NLNAT), number of dead piglets at birth (NLMN), mean piglet birth weight (PMN) and number of piglets weaned (NLD) with common explanatory factors. It was not possible to obtain a good predictive model for the characteristic mean weight of weaned piglets adjusted to 21 days (PD21) in the present study. The analysis of females by NLNV and PD21 categories indicated that sows that present NLNV below the herd average do not have the potential to exhibit an adequate accumulated production under the evaluated conditions of the farm. The best predictive models for female longevity by STAY1 criteria include age at first mating (IPC) and NLNV and for STAY2 it included only IPC. The prediction model proposed for STAY1 was more efficient (78%) than for STAY2 (55%). Selection for STAY1 can be performed with the NLNV of the first calving, while for STAY2 should preferably be performed later, by the accumulated NLD of the first three calvings. Survival analysis showed that by STAY1, females would be discarded later (8th parturition), when compared to STAY2 (6th parturition).
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spelling Carmo, Adriana Santana dohttp://lattes.cnpq.br/0782572407995106Café, Marcos Barcelloshttp://lattes.cnpq.br/9860968235125158Antunes, Robson Carloshttp://lattes.cnpq.br/7590358205144485Carmo, Adriana Santana doMascarenhas, Alessandra GimenezCadavid, Verónica GonzálezLeite, Carla Daniela SuguimotoMasciol, Arthur dos Santoshttp://lattes.cnpq.br/5302715959861762Leal, Guilherme Brunno de Medeiros2021-10-29T11:54:46Z2021-10-29T11:54:46Z2021-09-30LEAL, G. B. M. Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora. 2021. 82 f. Tese (Doutorado em Zootecnia) - Universidade Federal de Goiás, Goiânia, 2021.http://repositorio.bc.ufg.br/tede/handle/tede/11714ark:/38995/0013000001cf3The present work aimed to investigate the relationship between the productive characteristics and to identify the factors that affect the number of weaned piglets (NLD) per sow/year, the accumulated productivity in kilograms (kg) of weaned piglets (LD) per sow/year and the productive longevity of swine breeders in order to support the selection process of a breeding farm. In chapter 2, factor analyzes were performed in order to understand the relationship between the characteristics and multiple linear regression to identify the main predictor variables for the variables NLD per matrix/year and accumulated productivity in kg of LD per matrix/year. In chapter 3, the females were evaluated as to their longevity, according to two distinct stayability criteria, STAY1 and STAY2, which consider as longevity, respectively, the females that presented the number of live born piglets (NLNV) and kilogram of piglets weaned to the fourth parturition above the herd average. It was identified by the main latent factors that 55% variance between breeders on the farm is explained by the characteristics of maternal ability, piglet viability, fertility and perinatal mortality. The best regression models for prediction explained approximately 66% of the variation both for the NLD traits and for the total weight of weaned piglets adjusted for 21 days (PTD21), evidencing the characteristics number of stillborn piglets (NLNAT), number of dead piglets at birth (NLMN), mean piglet birth weight (PMN) and number of piglets weaned (NLD) with common explanatory factors. It was not possible to obtain a good predictive model for the characteristic mean weight of weaned piglets adjusted to 21 days (PD21) in the present study. The analysis of females by NLNV and PD21 categories indicated that sows that present NLNV below the herd average do not have the potential to exhibit an adequate accumulated production under the evaluated conditions of the farm. The best predictive models for female longevity by STAY1 criteria include age at first mating (IPC) and NLNV and for STAY2 it included only IPC. The prediction model proposed for STAY1 was more efficient (78%) than for STAY2 (55%). Selection for STAY1 can be performed with the NLNV of the first calving, while for STAY2 should preferably be performed later, by the accumulated NLD of the first three calvings. Survival analysis showed that by STAY1, females would be discarded later (8th parturition), when compared to STAY2 (6th parturition).O presente trabalho objetivou investigar a relação entre as características produtivas e identificar os fatores que afetam o número de leitões desmamados (NLD) por matriz/ano, a produtividade acumulada em quilograma (kg) de leitão desmamado (LD) por matriz/ano e a longevidade produtiva de matrizes suínas com o intuito de subsidiar o processo de seleção de uma granja multiplicadora. No capítulo 2 foram realizadas análises de fatores, com o intuito de compreender a relação entre as características e de regressão linear múltipla para identificar as principais variáveis preditoras para as variáveis NLD por matriz/ano e produtividade acumulada em kg de LD por matriz/ano. No capítulo 3 as fêmeas foram avaliadas quanto à sua longevidade, em função de dois critérios distintos de stayability, STAY1 e STAY2, que consideram respectivamente como longevas as fêmeas que apresentaram número de leitões nascidos vivos (NLNV) e quilograma de leitões desmamados até o quarto parto acima da média do rebanho. Identificou-se pelos principais fatores latentes, que55% variância entre matrizes da granja são explicadas pelas características de habilidade materna, viabilidade dos leitões, fertilidade e mortalidade perinatal. Os melhores modelos de regressão para predição explicaram aproximadamente 66% da variação tanto para a características NLD, como para o peso total dos leitões desmamados ajustado para 21 dias (PTD21), evidenciando as características número de leitões natimortos (NLNAT), número de leitões mortos ao nascer (NLMN), peso médio dos leitões ao nascer (PMN) e número de leitões desmamados (NLD) com fatores explicativos em comum. Não foi possível obter um bom modelo preditivo para a característica peso médio dos leitões desmamados ajustado para 21 dias (PD21) no presente estudo. A análise de fêmeas por categorias de NLNV e PD21 indicou que matrizes que apresentam NLNV abaixo da média do rebanho, não tem potencial para exibir uma adequada produção acumulada sob as condições avaliadas da granja. Os melhores modelos preditivos para a longevidade das fêmeas pelos critérios STAY1 incluem idade a primeira cobertura (IPC) e NLNV e para STAY2 incluiu apenas IPC. O modelo de predição proposto para de STAY1 foi mais eficiente (78%) do que para STAY2 (55%). A seleção para STAY1 pode ser realizada com o NLNV do primeiro parto, enquanto a de STAY2 deve ser preferencialmente realizada mais tardiamente, pelo NLD acumulado das três primeiras parições. A análise de sobrevivência demonstrou que pelo STAY1, as fêmeas seriam descartadas mais tardiamente (8º parto), quando comparado com STAY2 (6º parto).Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2021-10-28T22:23:33Z No. of bitstreams: 2 Tese - Guilherme Brunno de Medeiros Leal - 2021.pdf: 2186251 bytes, checksum: 28e2a2fb151d50dd9ea639d551461c39 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2021-10-29T11:54:46Z (GMT) No. of bitstreams: 2 Tese - Guilherme Brunno de Medeiros Leal - 2021.pdf: 2186251 bytes, checksum: 28e2a2fb151d50dd9ea639d551461c39 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2021-10-29T11:54:46Z (GMT). No. of bitstreams: 2 Tese - Guilherme Brunno de Medeiros Leal - 2021.pdf: 2186251 bytes, checksum: 28e2a2fb151d50dd9ea639d551461c39 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2021-09-30OutroporUniversidade Federal de GoiásPrograma de Pós-graduação em Zootecnia (EVZ)UFGBrasilEscola de Veterinária e Zootecnia - EVZ (RG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAnálise multivariadaLongevidade da porcaGranja multiplicadoraMultivariate analysisSow longevityBreeding farmCIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMALAnálise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadoraMultifactorial analysis and predictors for economically important traits of swine breeders in a multiplier farminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis87500500500500613165reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/aed5e812-35a7-4c3a-b6d5-7c260cbc5a0a/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/5bb7dd70-6c3f-46ce-b35b-1c89c8b4c752/download4460e5956bc1d1639be9ae6146a50347MD52ORIGINALTese - Guilherme Brunno de Medeiros Leal - 2021.pdfTese - Guilherme Brunno de Medeiros Leal - 2021.pdfapplication/pdf2186251http://repositorio.bc.ufg.br/tede/bitstreams/a3d4be03-b795-4e3c-bc91-2c00f7e536ee/download28e2a2fb151d50dd9ea639d551461c39MD53tede/117142021-10-29 08:54:47.108http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/11714http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2021-10-29T11:54:47Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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
dc.title.pt_BR.fl_str_mv Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
dc.title.alternative.eng.fl_str_mv Multifactorial analysis and predictors for economically important traits of swine breeders in a multiplier farm
title Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
spellingShingle Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
Leal, Guilherme Brunno de Medeiros
Análise multivariada
Longevidade da porca
Granja multiplicadora
Multivariate analysis
Sow longevity
Breeding farm
CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL
title_short Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
title_full Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
title_fullStr Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
title_full_unstemmed Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
title_sort Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora
author Leal, Guilherme Brunno de Medeiros
author_facet Leal, Guilherme Brunno de Medeiros
author_role author
dc.contributor.advisor1.fl_str_mv Carmo, Adriana Santana do
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0782572407995106
dc.contributor.advisor-co1.fl_str_mv Café, Marcos Barcellos
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/9860968235125158
dc.contributor.advisor-co2.fl_str_mv Antunes, Robson Carlos
dc.contributor.advisor-co2Lattes.fl_str_mv http://lattes.cnpq.br/7590358205144485
dc.contributor.referee1.fl_str_mv Carmo, Adriana Santana do
dc.contributor.referee2.fl_str_mv Mascarenhas, Alessandra Gimenez
dc.contributor.referee3.fl_str_mv Cadavid, Verónica González
dc.contributor.referee4.fl_str_mv Leite, Carla Daniela Suguimoto
dc.contributor.referee5.fl_str_mv Masciol, Arthur dos Santos
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5302715959861762
dc.contributor.author.fl_str_mv Leal, Guilherme Brunno de Medeiros
contributor_str_mv Carmo, Adriana Santana do
Café, Marcos Barcellos
Antunes, Robson Carlos
Carmo, Adriana Santana do
Mascarenhas, Alessandra Gimenez
Cadavid, Verónica González
Leite, Carla Daniela Suguimoto
Masciol, Arthur dos Santos
dc.subject.por.fl_str_mv Análise multivariada
Longevidade da porca
Granja multiplicadora
topic Análise multivariada
Longevidade da porca
Granja multiplicadora
Multivariate analysis
Sow longevity
Breeding farm
CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL
dc.subject.eng.fl_str_mv Multivariate analysis
Sow longevity
Breeding farm
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL
description The present work aimed to investigate the relationship between the productive characteristics and to identify the factors that affect the number of weaned piglets (NLD) per sow/year, the accumulated productivity in kilograms (kg) of weaned piglets (LD) per sow/year and the productive longevity of swine breeders in order to support the selection process of a breeding farm. In chapter 2, factor analyzes were performed in order to understand the relationship between the characteristics and multiple linear regression to identify the main predictor variables for the variables NLD per matrix/year and accumulated productivity in kg of LD per matrix/year. In chapter 3, the females were evaluated as to their longevity, according to two distinct stayability criteria, STAY1 and STAY2, which consider as longevity, respectively, the females that presented the number of live born piglets (NLNV) and kilogram of piglets weaned to the fourth parturition above the herd average. It was identified by the main latent factors that 55% variance between breeders on the farm is explained by the characteristics of maternal ability, piglet viability, fertility and perinatal mortality. The best regression models for prediction explained approximately 66% of the variation both for the NLD traits and for the total weight of weaned piglets adjusted for 21 days (PTD21), evidencing the characteristics number of stillborn piglets (NLNAT), number of dead piglets at birth (NLMN), mean piglet birth weight (PMN) and number of piglets weaned (NLD) with common explanatory factors. It was not possible to obtain a good predictive model for the characteristic mean weight of weaned piglets adjusted to 21 days (PD21) in the present study. The analysis of females by NLNV and PD21 categories indicated that sows that present NLNV below the herd average do not have the potential to exhibit an adequate accumulated production under the evaluated conditions of the farm. The best predictive models for female longevity by STAY1 criteria include age at first mating (IPC) and NLNV and for STAY2 it included only IPC. The prediction model proposed for STAY1 was more efficient (78%) than for STAY2 (55%). Selection for STAY1 can be performed with the NLNV of the first calving, while for STAY2 should preferably be performed later, by the accumulated NLD of the first three calvings. Survival analysis showed that by STAY1, females would be discarded later (8th parturition), when compared to STAY2 (6th parturition).
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-10-29T11:54:46Z
dc.date.available.fl_str_mv 2021-10-29T11:54:46Z
dc.date.issued.fl_str_mv 2021-09-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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dc.identifier.citation.fl_str_mv LEAL, G. B. M. Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora. 2021. 82 f. Tese (Doutorado em Zootecnia) - Universidade Federal de Goiás, Goiânia, 2021.
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dc.identifier.dark.fl_str_mv ark:/38995/0013000001cf3
identifier_str_mv LEAL, G. B. M. Análise multifatorial e preditores para características de importância econômica de matrizes suínas em granja multiplicadora. 2021. 82 f. Tese (Doutorado em Zootecnia) - Universidade Federal de Goiás, Goiânia, 2021.
ark:/38995/0013000001cf3
url http://repositorio.bc.ufg.br/tede/handle/tede/11714
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dc.relation.sponsorship.fl_str_mv 5
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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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 Goiás
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Zootecnia (EVZ)
dc.publisher.initials.fl_str_mv UFG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Veterinária e Zootecnia - EVZ (RG)
publisher.none.fl_str_mv Universidade Federal de Goiás
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