Biometric variability of goat populations revealed by means of principal component analysis
The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH),...
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| Published in: | Genetics and molecular biology Vol. 35; no. 4; pp. 777 - 782 |
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| Abstract | The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups. |
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| AbstractList | The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups. The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Draa and the other the Zagora and Rhaali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups. |
| Author | Machado, Théa M Medeiros Costa, Márcio da Silva Torres, Robledo Almeida Pires, Luanna Chácara Olson, Timothy A Araújo, Adriana Mello da Silva, João Batista Lopes |
| AuthorAffiliation | 4 Department of Animal Science, University of Florida, Gainesville, FL, USA 5 Departamento de Engenharia de Agricultura, Universidade Federal de Viçosa, Viçosa, MG, Brazil 1 Departamento de Agronomia, Universidade Federal de Piauí, Bom Jesus, PI, Brazil 3 Empresa Brasileira de Pesquisa Agropecuária, Embrapa Meio Norte, Teresina, PI, Brazil 6 Departamento de Ciência Animal, Universidade Federal de Piauí, Teresina, PI, Brazil 2 Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, MG, Brazil |
| AuthorAffiliation_xml | – name: 1 Departamento de Agronomia, Universidade Federal de Piauí, Bom Jesus, PI, Brazil – name: 2 Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, MG, Brazil – name: 3 Empresa Brasileira de Pesquisa Agropecuária, Embrapa Meio Norte, Teresina, PI, Brazil – name: 4 Department of Animal Science, University of Florida, Gainesville, FL, USA – name: 6 Departamento de Ciência Animal, Universidade Federal de Piauí, Teresina, PI, Brazil – name: 5 Departamento de Engenharia de Agricultura, Universidade Federal de Viçosa, Viçosa, MG, Brazil – name: Embrapa – name: Universidade Federal de Viçosa – name: Universidade Federal do Piauí – name: University of Florida |
| Author_xml | – sequence: 1 givenname: Luanna Chácara surname: Pires fullname: Pires, Luanna Chácara organization: Departamento de Agronomia, Universidade Federal de Piauí, Bom Jesus, PI, Brazil – sequence: 2 givenname: Théa M Medeiros surname: Machado fullname: Machado, Théa M Medeiros – sequence: 3 givenname: Adriana Mello surname: Araújo fullname: Araújo, Adriana Mello – sequence: 4 givenname: Timothy A surname: Olson fullname: Olson, Timothy A – sequence: 5 givenname: João Batista Lopes surname: da Silva fullname: da Silva, João Batista Lopes – sequence: 6 givenname: Robledo Almeida surname: Torres fullname: Torres, Robledo Almeida – sequence: 7 givenname: Márcio da Silva surname: Costa fullname: Costa, Márcio da Silva |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23271938$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1023/A:1026434305119 10.1590/S1415-47572000000100022 10.1016/0921-4488(93)90065-P 10.1007/BF02359746 10.1590/S1516-35982011000800007 10.1016/0921-4488(96)00863-2 10.1016/S0921-4488(02)00111-6 10.1016/S0921-4488(99)00160-1 10.1017/S1014233900001553 10.1016/0169-5347(95)90005-5 10.1016/S0921-4488(99)00162-5 10.1038/nrg1203 10.1590/S1415-47572007000300010 10.2527/jas1988.6692147x 10.1016/j.smallrumres.2007.01.003 10.2307/2346300 |
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| Keywords | biometrics genetic resources population characterization morphometrics goat breeds |
| Language | English |
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| Title | Biometric variability of goat populations revealed by means of principal component analysis |
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