Principal components for morphometric traits in Campolina horses.
Abstract: 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.
© 2020 Wiley-VCH GmbH.
Publication Date: 2020-11-02 PubMed ID: 33137219DOI: 10.1111/jbg.12521Google Scholar: Lookup
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- Journal Article
Summary
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The research involves the use of Principal Component Analysis (PCA) to evaluate the genetic variability in Campolina horses and proposes an index for selecting horses based on their body proportions.
Objective and Methodology
- The aim of the study was to evaluate the genetic variability and relationship between 15 morphometric traits in 91,483 Campolina horses.
- They used principal component analysis (PCA), which is a statistical technique used to simplify the complexity in high-dimensional data by transforming the data into fewer dimensions, on the genetic (co)variance matrix.
- The objective was also to propose an aggregate genotype index that promotes a particular selection objective.
Findings and Analysis
- The first principal component (PC1) interpreted 97.8% of the total additive genetic variance of the traits, contrasting horses in terms of body size including wither, back and croup heights, body length, and thoracic girth.
- PC1 traits showed higher heritabilities and positive and high genetic correlations.
- An index, HPC1, was obtained by combining the breeding values of different traits from PC1. This index serves as an aggregate genotype to identify the best animals for selection.
- The second principal component (PC2), which was much smaller, grouped traits related to head and neck morphometry among others. These traits are commonly used for breed qualification which explains the small variation in this component.
Evaluation and Recommendations
- The researchers also evaluated the effect of HPC1 on withers height in a two-trait analysis and recorded positive genetic correlations of moderate to high magnitude (0.73-0.86). This indicates that selection for this trait, which is important in Campolina horses, is accounted for in the index.
- They proposed the use of HCP1 as an important alternative to selection as it considers a set of variables that capture body proportions, not only a single trait.
Cite This Article
APA
Solar Diaz IDP, Strauss Borges Junqueira G, Aparecida Rocha Cruz V, Albano Araújo de Oliveira C, Nunes de Oliveira H, Miguel Ferreira de Camargo G, Bermal Costa R.
(2020).
Principal components for morphometric traits in Campolina horses.
J Anim Breed Genet, 138(2), 179-187.
https://doi.org/10.1111/jbg.12521 Publication
Researcher Affiliations
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
- Departamento de Zootecnia, Faculdade de Ciencias Agrarias e Veterinarias, UNESP Universidade Estadual Paulista Julio de Mesquita Filho, Jaboticabal, Brazil.
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
- Escola de Medicina e Veterinária e Zootecnia, UFBA Universidade Federal da Bahia, Salvador, Brazil.
MeSH Terms
- Animals
- Body Size
- Genotype
- Horses
- Phenotype
- Principal Component Analysis
References
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