Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity

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Autor principal: Antonio Policarpo Souza Carneiro
Formato: Artículo científico
Lenguaje:en
Publicado: Universidade Estadual de Maringá 2012
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author Antonio Policarpo Souza Carneiro
author_facet Antonio Policarpo Souza Carneiro
contents Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity Antonio Policarpo Souza Carneiro Paulo Luiz Souza Carneiro Ricardo Frederico Euclydes Sebastião Martins Filho Fabyano Fonseca e Silva Paulo Roberto Cecon Agrociencias Genesys rank correlation scale transformation Genetic connectedness Efficiency of data transformation strategies is evaluated to correct heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies. Four data structures of bovine weaning weights were simulated: he rds with and without heterogeneity for me ans and variances, and herds with and without genetic connectedness. In the genetic evaluati ons, data were used in the original scale and transformed (Logarithmic, Square root, standardizatio n and ratio by phenotypic standard deviation). The evaluated data transformation strategies were not efficient in eliminating the negative effects of heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies. 2012 artículo científico 1806-2636 https://www.redalyc.org/articulo.oa?id=303126509012 en http://www.redalyc.org/revista.oa?id=3031 Acta Scientiarum. Animal Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Animal Sciences (Brasil) Num.1 Vol.34
format Artículo científico
id redalyc_303126509012
institution Redalyc
language en
publishDate 2012
publisher Universidade Estadual de Maringá
spellingShingle Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity
Antonio Policarpo Souza Carneiro
Agrociencias
Genesys
rank correlation
scale transformation
Genetic connectedness
Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity Antonio Policarpo Souza Carneiro Paulo Luiz Souza Carneiro Ricardo Frederico Euclydes Sebastião Martins Filho Fabyano Fonseca e Silva Paulo Roberto Cecon Agrociencias Genesys rank correlation scale transformation Genetic connectedness Efficiency of data transformation strategies is evaluated to correct heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies. Four data structures of bovine weaning weights were simulated: he rds with and without heterogeneity for me ans and variances, and herds with and without genetic connectedness. In the genetic evaluati ons, data were used in the original scale and transformed (Logarithmic, Square root, standardizatio n and ratio by phenotypic standard deviation). The evaluated data transformation strategies were not efficient in eliminating the negative effects of heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies. 2012 artículo científico 1806-2636 https://www.redalyc.org/articulo.oa?id=303126509012 en http://www.redalyc.org/revista.oa?id=3031 Acta Scientiarum. Animal Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Animal Sciences (Brasil) Num.1 Vol.34
title Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity
topic Agrociencias
Genesys
rank correlation
scale transformation
Genetic connectedness
url https://www.redalyc.org/articulo.oa?id=303126509012