Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed

Detalhes bibliográficos
Autor(a) principal: Silva, Michelle Santos da
Data de Publicação: 2015
Outros Autores: Shiotsuki, Luciana, Lôbo, Raimundo Nonato Braga, Facó, Olivardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/19898
Resumo: A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in these tests and identify the most significant traits for use in future analyses. Data from 150 young rams participating in five versions of the performance tests for the Morada Nova breed were used. Twenty traits were measured in each animal: initial weight (IW), final weight (FW), average daily weight gain (ADG), loin eye area (LEA), scrotal circumference (SC), fat thickness (FT), conformation (C), precocity (Pc), muscularity (M), breed features (BF), legs (L), withers height (WH), chest width (CW), rump height (RH), rump width (RW), rump length (RL), body length (BL), body depth (BD), heart girth (HG) and body condition scoring (BCS). The Pearson’s correlation coefficients ranged from –0.10 to 0.93, with the highest correlations were between body weight variables and morphometric measurements. The three first principal components explained 72.28% of the total variability among all traits. The variables related to animal size defined the first principal component, whereas those related to visual appraisal and suitability for meat production defined the second and third principal components, respectively. The combination of traits from the principal component analysis showed that the ranking method currently used in the performance testing of Morada Nova sheep is efficient for selecting larger rams with better breed features and higher degrees of specialization for meat production.
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spelling Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breedAnálise de componentes principais para avaliação de um método de classificação utilizado nos testes de desempenho em ovinos da raça Morada NovaAdaptabilityMeat sheepSelectionMultivariate analysisWeighting.AdaptabilidadeOvinos de corteSeleçãoAnálise multivariadaPonderação.A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in these tests and identify the most significant traits for use in future analyses. Data from 150 young rams participating in five versions of the performance tests for the Morada Nova breed were used. Twenty traits were measured in each animal: initial weight (IW), final weight (FW), average daily weight gain (ADG), loin eye area (LEA), scrotal circumference (SC), fat thickness (FT), conformation (C), precocity (Pc), muscularity (M), breed features (BF), legs (L), withers height (WH), chest width (CW), rump height (RH), rump width (RW), rump length (RL), body length (BL), body depth (BD), heart girth (HG) and body condition scoring (BCS). The Pearson’s correlation coefficients ranged from –0.10 to 0.93, with the highest correlations were between body weight variables and morphometric measurements. The three first principal components explained 72.28% of the total variability among all traits. The variables related to animal size defined the first principal component, whereas those related to visual appraisal and suitability for meat production defined the second and third principal components, respectively. The combination of traits from the principal component analysis showed that the ranking method currently used in the performance testing of Morada Nova sheep is efficient for selecting larger rams with better breed features and higher degrees of specialization for meat production. Objetivou-se neste trabalho adotar uma abordagem multivariada para avaliar a relação entre as características medidas nos testes de desempenho de ovinos Morada Nova para verificar a eficácia do método de classificação utilizado nestes testes, e identificar as características mais importantes para serem usadas em análises futuras. Foram utilizados dados de 150 carneiros jovens participantes de cinco edições do teste de desempenho da raça Morada Nova. Vinte características foram mensuradas em cada animal: peso inicial (PI), peso final (PF), ganho de peso médio diário (GPMD), área de olho de lombo (AOL), perímetro escrotal (PE), espessura de gordura (EG), conformação (C), precocidade (Pc), musculosidade (M), tipo racial (TP), aprumos (A), altura de cernelha (AC), largura de peito (LP), altura da garupa (AG), largura da garupa (LG), comprimento da garupa (CG), comprimento corporal (CC), profundidade (P), perímetro torácico (PT) e escore de condição corporal (ECC). Os Coeficientes de correlação de Pearson variaram de –0,10 a 0,93, sendo que as maiores correlações foram entre as variáveis de peso corporal e medidas morfométricas. Os três primeiros componentes principais explicaram 72,28% da variabilidade total entre todas as variáveis. As variáveis relacionadas ao porte do animal obtiveram maiores ponderadores no primeiro componente principal, enquanto as características relacionadas à avaliação visual e aptidão para a produção de carne foram mais representativas no segundo e terceiro componentes principais, respectivamente. A combinação das variáveis formadas a partir da análise de componentes principais mostrou que, o método de classificação atualmente utilizado nos testes de desempenho de ovinos Morada Nova é eficiente para a seleção de carneiros maiores, com melhor padrão racial e maior grau de especialização para a produção de carne. UEL2015-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/1989810.5433/1679-0359.2015v36n6p3909Semina: Ciências Agrárias; Vol. 36 No. 6 (2015); 3909-3922Semina: Ciências Agrárias; v. 36 n. 6 (2015); 3909-39221679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/19898/17497http://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Michelle Santos daShiotsuki, LucianaLôbo, Raimundo Nonato BragaFacó, Olivardo2022-12-05T11:56:56Zoai:ojs.pkp.sfu.ca:article/19898Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-12-05T11:56:56Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
Análise de componentes principais para avaliação de um método de classificação utilizado nos testes de desempenho em ovinos da raça Morada Nova
title Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
spellingShingle Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
Silva, Michelle Santos da
Adaptability
Meat sheep
Selection
Multivariate analysis
Weighting.
Adaptabilidade
Ovinos de corte
Seleção
Análise multivariada
Ponderação.
title_short Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
title_full Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
title_fullStr Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
title_full_unstemmed Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
title_sort Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed
author Silva, Michelle Santos da
author_facet Silva, Michelle Santos da
Shiotsuki, Luciana
Lôbo, Raimundo Nonato Braga
Facó, Olivardo
author_role author
author2 Shiotsuki, Luciana
Lôbo, Raimundo Nonato Braga
Facó, Olivardo
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Michelle Santos da
Shiotsuki, Luciana
Lôbo, Raimundo Nonato Braga
Facó, Olivardo
dc.subject.por.fl_str_mv Adaptability
Meat sheep
Selection
Multivariate analysis
Weighting.
Adaptabilidade
Ovinos de corte
Seleção
Análise multivariada
Ponderação.
topic Adaptability
Meat sheep
Selection
Multivariate analysis
Weighting.
Adaptabilidade
Ovinos de corte
Seleção
Análise multivariada
Ponderação.
description A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in these tests and identify the most significant traits for use in future analyses. Data from 150 young rams participating in five versions of the performance tests for the Morada Nova breed were used. Twenty traits were measured in each animal: initial weight (IW), final weight (FW), average daily weight gain (ADG), loin eye area (LEA), scrotal circumference (SC), fat thickness (FT), conformation (C), precocity (Pc), muscularity (M), breed features (BF), legs (L), withers height (WH), chest width (CW), rump height (RH), rump width (RW), rump length (RL), body length (BL), body depth (BD), heart girth (HG) and body condition scoring (BCS). The Pearson’s correlation coefficients ranged from –0.10 to 0.93, with the highest correlations were between body weight variables and morphometric measurements. The three first principal components explained 72.28% of the total variability among all traits. The variables related to animal size defined the first principal component, whereas those related to visual appraisal and suitability for meat production defined the second and third principal components, respectively. The combination of traits from the principal component analysis showed that the ranking method currently used in the performance testing of Morada Nova sheep is efficient for selecting larger rams with better breed features and higher degrees of specialization for meat production.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/19898
10.5433/1679-0359.2015v36n6p3909
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/19898
identifier_str_mv 10.5433/1679-0359.2015v36n6p3909
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/19898/17497
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 36 No. 6 (2015); 3909-3922
Semina: Ciências Agrárias; v. 36 n. 6 (2015); 3909-3922
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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