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Morphological characterization of breeds of sheep: a discriminant analysis approach
In this study the characterisation and separation/discrimination of three sheep breeds (crosses, West African Dwarfs (WAD) and West African Long Legged (WALL)] based on their physical traits (morphological characterisation) was investigated extensively with the application of discriminant analysis....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4723378/ https://www.ncbi.nlm.nih.gov/pubmed/26839762 http://dx.doi.org/10.1186/s40064-016-1669-8 |
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author | Asamoah-Boaheng, Michael Sam, Emmanuel Kofi |
author_facet | Asamoah-Boaheng, Michael Sam, Emmanuel Kofi |
author_sort | Asamoah-Boaheng, Michael |
collection | PubMed |
description | In this study the characterisation and separation/discrimination of three sheep breeds (crosses, West African Dwarfs (WAD) and West African Long Legged (WALL)] based on their physical traits (morphological characterisation) was investigated extensively with the application of discriminant analysis. The study’s main objective was specifically based on developing a variable selection criterion that can discriminate best among the three sheep breeds and as well as obtain a reliable mathematical function/equation (discriminant functions) for provision of maximum separation among the three known sheep breeds. Data from College of Education, Mampong animal farms on various breeds of sheep (hybrid/crossed breed, Sahell/WALL and Djallonke/WAD) was used. Factor Analysis was employed as a variable selection criterion for selecting six sheep traits that can discriminate best among the sheep breeds. Canonical discriminant function was derived for the eight variable data set and was compared with the derived quadratic discriminant functions (QDFs) using the six extracted sheep traits. The six variable QDF distance classifier provided maximum separation after cross validation than the 8-variable canonical discriminant functions. The derived mathematical functions (QDFs) were able to provide maximum separation among the three known sheep breeds with a correct classification rate of 0.86. |
format | Online Article Text |
id | pubmed-4723378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-47233782016-02-02 Morphological characterization of breeds of sheep: a discriminant analysis approach Asamoah-Boaheng, Michael Sam, Emmanuel Kofi Springerplus Research In this study the characterisation and separation/discrimination of three sheep breeds (crosses, West African Dwarfs (WAD) and West African Long Legged (WALL)] based on their physical traits (morphological characterisation) was investigated extensively with the application of discriminant analysis. The study’s main objective was specifically based on developing a variable selection criterion that can discriminate best among the three sheep breeds and as well as obtain a reliable mathematical function/equation (discriminant functions) for provision of maximum separation among the three known sheep breeds. Data from College of Education, Mampong animal farms on various breeds of sheep (hybrid/crossed breed, Sahell/WALL and Djallonke/WAD) was used. Factor Analysis was employed as a variable selection criterion for selecting six sheep traits that can discriminate best among the sheep breeds. Canonical discriminant function was derived for the eight variable data set and was compared with the derived quadratic discriminant functions (QDFs) using the six extracted sheep traits. The six variable QDF distance classifier provided maximum separation after cross validation than the 8-variable canonical discriminant functions. The derived mathematical functions (QDFs) were able to provide maximum separation among the three known sheep breeds with a correct classification rate of 0.86. Springer International Publishing 2016-01-22 /pmc/articles/PMC4723378/ /pubmed/26839762 http://dx.doi.org/10.1186/s40064-016-1669-8 Text en © Asamoah-Boaheng and Sam. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Asamoah-Boaheng, Michael Sam, Emmanuel Kofi Morphological characterization of breeds of sheep: a discriminant analysis approach |
title | Morphological characterization of breeds of sheep: a discriminant analysis approach |
title_full | Morphological characterization of breeds of sheep: a discriminant analysis approach |
title_fullStr | Morphological characterization of breeds of sheep: a discriminant analysis approach |
title_full_unstemmed | Morphological characterization of breeds of sheep: a discriminant analysis approach |
title_short | Morphological characterization of breeds of sheep: a discriminant analysis approach |
title_sort | morphological characterization of breeds of sheep: a discriminant analysis approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4723378/ https://www.ncbi.nlm.nih.gov/pubmed/26839762 http://dx.doi.org/10.1186/s40064-016-1669-8 |
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