Principal components for morphometric traits in Campolina horses
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1111/jbg.12521 http://hdl.handle.net/11449/206878 |
Resumo: | Principal component analysis (PCA) was applied to evaluate the genetic variability and relationship between 15 morphometric traits in 91,483 Campolina horses, as well as to propose an index based on an aggregate genotype that promotes a particular selection objective. PCA was applied to the genetic (co)variance matrix among variables. After calculation of the principal components, the breeding values were estimated to obtain an index related to the component that explained most of the variation. The first principal component (PC1) accounted for 97.8% of the total additive genetic variance of the traits. PC1 contrasted animals in terms of body size (wither, back and croup heights, body length, and thoracic girth). PC1 traits showed higher heritabilities and positive and high genetic correlations. An index was obtained (HPC1) with the combination of the breeding values of different traits from PC1 which permitted the use of this index as an aggregate genotype to identify the best animals for selection. The second principal component (PC2) was much smaller and grouped traits related to head and neck morphometry, among others. These traits are commonly used for breed qualification, a fact explaining the small variation in this component. An evaluation of the effect of HPC1 on withers height in two-trait analysis was also made which provided positive genetic correlations of moderate to high magnitude (0.73–0.86), indicating that selection for this trait (important in Campolina horses) is accounted for in the index. The use of HCP1 could be considered as an important alternative to selection since it does not consider a single trait but rather a set of variables that capture body proportions. |
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Principal components for morphometric traits in Campolina horsesaggregate genotypebody sizebreed qualificationEquus caballusheritabilityindexselectionwithers heightPrincipal component analysis (PCA) was applied to evaluate the genetic variability and relationship between 15 morphometric traits in 91,483 Campolina horses, as well as to propose an index based on an aggregate genotype that promotes a particular selection objective. PCA was applied to the genetic (co)variance matrix among variables. After calculation of the principal components, the breeding values were estimated to obtain an index related to the component that explained most of the variation. The first principal component (PC1) accounted for 97.8% of the total additive genetic variance of the traits. PC1 contrasted animals in terms of body size (wither, back and croup heights, body length, and thoracic girth). PC1 traits showed higher heritabilities and positive and high genetic correlations. An index was obtained (HPC1) with the combination of the breeding values of different traits from PC1 which permitted the use of this index as an aggregate genotype to identify the best animals for selection. The second principal component (PC2) was much smaller and grouped traits related to head and neck morphometry, among others. These traits are commonly used for breed qualification, a fact explaining the small variation in this component. An evaluation of the effect of HPC1 on withers height in two-trait analysis was also made which provided positive genetic correlations of moderate to high magnitude (0.73–0.86), indicating that selection for this trait (important in Campolina horses) is accounted for in the index. The use of HCP1 could be considered as an important alternative to selection since it does not consider a single trait but rather a set of variables that capture body proportions.Escola de Medicina e Veterinária e Zootecnia UFBA Universidade Federal da BahiaDepartamento de Zootecnia Faculdade de Ciencias Agrarias e Veterinarias UNESP Universidade Estadual Paulista Julio de Mesquita FilhoDepartamento de Zootecnia Faculdade de Ciencias Agrarias e Veterinarias UNESP Universidade Estadual Paulista Julio de Mesquita FilhoUniversidade Federal da Bahia (UFBA)Universidade Estadual Paulista (Unesp)Solar Diaz, Iara Del PilarStrauss Borges Junqueira, GlebAparecida Rocha Cruz, ValdecyAlbano Araújo de Oliveira, ChiaraNunes de Oliveira, Henrique [UNESP]Miguel Ferreira de Camargo, GregórioBermal Costa, Raphael2021-06-25T10:45:21Z2021-06-25T10:45:21Z2021-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article179-187http://dx.doi.org/10.1111/jbg.12521Journal of Animal Breeding and Genetics, v. 138, n. 2, p. 179-187, 2021.1439-03880931-2668http://hdl.handle.net/11449/20687810.1111/jbg.125212-s2.0-85096692743Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Animal Breeding and Geneticsinfo:eu-repo/semantics/openAccess2024-06-07T18:40:51Zoai:repositorio.unesp.br:11449/206878Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-07T18:40:51Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Principal components for morphometric traits in Campolina horses |
title |
Principal components for morphometric traits in Campolina horses |
spellingShingle |
Principal components for morphometric traits in Campolina horses Solar Diaz, Iara Del Pilar aggregate genotype body size breed qualification Equus caballus heritability index selection withers height |
title_short |
Principal components for morphometric traits in Campolina horses |
title_full |
Principal components for morphometric traits in Campolina horses |
title_fullStr |
Principal components for morphometric traits in Campolina horses |
title_full_unstemmed |
Principal components for morphometric traits in Campolina horses |
title_sort |
Principal components for morphometric traits in Campolina horses |
author |
Solar Diaz, Iara Del Pilar |
author_facet |
Solar Diaz, Iara Del Pilar Strauss Borges Junqueira, Gleb Aparecida Rocha Cruz, Valdecy Albano Araújo de Oliveira, Chiara Nunes de Oliveira, Henrique [UNESP] Miguel Ferreira de Camargo, Gregório Bermal Costa, Raphael |
author_role |
author |
author2 |
Strauss Borges Junqueira, Gleb Aparecida Rocha Cruz, Valdecy Albano Araújo de Oliveira, Chiara Nunes de Oliveira, Henrique [UNESP] Miguel Ferreira de Camargo, Gregório Bermal Costa, Raphael |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal da Bahia (UFBA) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Solar Diaz, Iara Del Pilar Strauss Borges Junqueira, Gleb Aparecida Rocha Cruz, Valdecy Albano Araújo de Oliveira, Chiara Nunes de Oliveira, Henrique [UNESP] Miguel Ferreira de Camargo, Gregório Bermal Costa, Raphael |
dc.subject.por.fl_str_mv |
aggregate genotype body size breed qualification Equus caballus heritability index selection withers height |
topic |
aggregate genotype body size breed qualification Equus caballus heritability index selection withers height |
description |
Principal component analysis (PCA) was applied to evaluate the genetic variability and relationship between 15 morphometric traits in 91,483 Campolina horses, as well as to propose an index based on an aggregate genotype that promotes a particular selection objective. PCA was applied to the genetic (co)variance matrix among variables. After calculation of the principal components, the breeding values were estimated to obtain an index related to the component that explained most of the variation. The first principal component (PC1) accounted for 97.8% of the total additive genetic variance of the traits. PC1 contrasted animals in terms of body size (wither, back and croup heights, body length, and thoracic girth). PC1 traits showed higher heritabilities and positive and high genetic correlations. An index was obtained (HPC1) with the combination of the breeding values of different traits from PC1 which permitted the use of this index as an aggregate genotype to identify the best animals for selection. The second principal component (PC2) was much smaller and grouped traits related to head and neck morphometry, among others. These traits are commonly used for breed qualification, a fact explaining the small variation in this component. An evaluation of the effect of HPC1 on withers height in two-trait analysis was also made which provided positive genetic correlations of moderate to high magnitude (0.73–0.86), indicating that selection for this trait (important in Campolina horses) is accounted for in the index. The use of HCP1 could be considered as an important alternative to selection since it does not consider a single trait but rather a set of variables that capture body proportions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:45:21Z 2021-06-25T10:45:21Z 2021-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/jbg.12521 Journal of Animal Breeding and Genetics, v. 138, n. 2, p. 179-187, 2021. 1439-0388 0931-2668 http://hdl.handle.net/11449/206878 10.1111/jbg.12521 2-s2.0-85096692743 |
url |
http://dx.doi.org/10.1111/jbg.12521 http://hdl.handle.net/11449/206878 |
identifier_str_mv |
Journal of Animal Breeding and Genetics, v. 138, n. 2, p. 179-187, 2021. 1439-0388 0931-2668 10.1111/jbg.12521 2-s2.0-85096692743 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Animal Breeding and Genetics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
179-187 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803045281612169216 |