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Evaluation criterion for response to selection with constraint

The aims of the present study are to represent the concept of restricted breeding values algebraically and to propose a criterion for evaluating the genetic responses achieved by using a restricted selection procedure. An additive genetic mixed model characterized by multiple traits with constraints...

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Detalles Bibliográficos
Autor principal: Satoh, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590131/
https://www.ncbi.nlm.nih.gov/pubmed/30723993
http://dx.doi.org/10.1111/asj.13174
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author Satoh, Masahiro
author_facet Satoh, Masahiro
author_sort Satoh, Masahiro
collection PubMed
description The aims of the present study are to represent the concept of restricted breeding values algebraically and to propose a criterion for evaluating the genetic responses achieved by using a restricted selection procedure. An additive genetic mixed model characterized by multiple traits with constraints was assumed. If the random errors approach zero and the fixed effects can be completely estimated correctly in the model, the restricted best linear unbiased predictor of breeding values (u (R)) is equal to [Formula: see text] , where G (0), C (0), and u are the additive genetic variance‐covariance matrix for the q traits, the matrix for restriction, and the vector of breeding values, respectively. Therefore, if we want to evaluate the response to restricted selection, such as by a stochastic computer simulation study with known breeding values, we can use u (R) as only one criterion.
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spelling pubmed-65901312019-07-08 Evaluation criterion for response to selection with constraint Satoh, Masahiro Anim Sci J Original Articles The aims of the present study are to represent the concept of restricted breeding values algebraically and to propose a criterion for evaluating the genetic responses achieved by using a restricted selection procedure. An additive genetic mixed model characterized by multiple traits with constraints was assumed. If the random errors approach zero and the fixed effects can be completely estimated correctly in the model, the restricted best linear unbiased predictor of breeding values (u (R)) is equal to [Formula: see text] , where G (0), C (0), and u are the additive genetic variance‐covariance matrix for the q traits, the matrix for restriction, and the vector of breeding values, respectively. Therefore, if we want to evaluate the response to restricted selection, such as by a stochastic computer simulation study with known breeding values, we can use u (R) as only one criterion. John Wiley and Sons Inc. 2019-02-05 2019-04 /pmc/articles/PMC6590131/ /pubmed/30723993 http://dx.doi.org/10.1111/asj.13174 Text en © 2019 The Authors. Animal Science Journal published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Animal Science. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Satoh, Masahiro
Evaluation criterion for response to selection with constraint
title Evaluation criterion for response to selection with constraint
title_full Evaluation criterion for response to selection with constraint
title_fullStr Evaluation criterion for response to selection with constraint
title_full_unstemmed Evaluation criterion for response to selection with constraint
title_short Evaluation criterion for response to selection with constraint
title_sort evaluation criterion for response to selection with constraint
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590131/
https://www.ncbi.nlm.nih.gov/pubmed/30723993
http://dx.doi.org/10.1111/asj.13174
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