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Use of entropy in the analysis of nominal traits in sheep
In the analysis of dependencies between nominal traits entropy and its function, mutual information seems to be a proper descriptive statistic. This is shown by characterizing the relationships between the prolificacy of dams and selected genetic attributes: the genotype of transferrin, the genotype...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548092/ https://www.ncbi.nlm.nih.gov/pubmed/23179604 http://dx.doi.org/10.1007/s13353-012-0123-z |
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author | Dobek, Anita Steppa, Ryszard Moliński, Krzysztof Ślósarz, Piotr |
author_facet | Dobek, Anita Steppa, Ryszard Moliński, Krzysztof Ślósarz, Piotr |
author_sort | Dobek, Anita |
collection | PubMed |
description | In the analysis of dependencies between nominal traits entropy and its function, mutual information seems to be a proper descriptive statistic. This is shown by characterizing the relationships between the prolificacy of dams and selected genetic attributes: the genotype of transferrin, the genotype of hemoglobin, and the type of birth, as well as the environmental attribute, i.e., year of birth. The entropy method may improve the exactitude of investigations concerning the influence of different factors on production trait. The index of relative uniformity, introduced in this study, proved to be an adequate tool for the determination of similarity in the examined flocks. The application of mutual information in the determination of values of the dependence measures in the analyzed experiment was justified. |
format | Online Article Text |
id | pubmed-3548092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-35480922013-01-18 Use of entropy in the analysis of nominal traits in sheep Dobek, Anita Steppa, Ryszard Moliński, Krzysztof Ślósarz, Piotr J Appl Genet Animal Genetics • Original Paper In the analysis of dependencies between nominal traits entropy and its function, mutual information seems to be a proper descriptive statistic. This is shown by characterizing the relationships between the prolificacy of dams and selected genetic attributes: the genotype of transferrin, the genotype of hemoglobin, and the type of birth, as well as the environmental attribute, i.e., year of birth. The entropy method may improve the exactitude of investigations concerning the influence of different factors on production trait. The index of relative uniformity, introduced in this study, proved to be an adequate tool for the determination of similarity in the examined flocks. The application of mutual information in the determination of values of the dependence measures in the analyzed experiment was justified. Springer-Verlag 2012-11-23 2013 /pmc/articles/PMC3548092/ /pubmed/23179604 http://dx.doi.org/10.1007/s13353-012-0123-z Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Animal Genetics • Original Paper Dobek, Anita Steppa, Ryszard Moliński, Krzysztof Ślósarz, Piotr Use of entropy in the analysis of nominal traits in sheep |
title | Use of entropy in the analysis of nominal traits in sheep |
title_full | Use of entropy in the analysis of nominal traits in sheep |
title_fullStr | Use of entropy in the analysis of nominal traits in sheep |
title_full_unstemmed | Use of entropy in the analysis of nominal traits in sheep |
title_short | Use of entropy in the analysis of nominal traits in sheep |
title_sort | use of entropy in the analysis of nominal traits in sheep |
topic | Animal Genetics • Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548092/ https://www.ncbi.nlm.nih.gov/pubmed/23179604 http://dx.doi.org/10.1007/s13353-012-0123-z |
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