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Optimization of a crossing system using mate selection
A simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations. Mate sel...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689303/ https://www.ncbi.nlm.nih.gov/pubmed/16492372 http://dx.doi.org/10.1186/1297-9686-38-2-147 |
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author | Li, Yongjun Werf, Julius HJ van der Kinghorn, Brian P |
author_facet | Li, Yongjun Werf, Julius HJ van der Kinghorn, Brian P |
author_sort | Li, Yongjun |
collection | PubMed |
description | A simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations. Mate selection automatically invokes divergent selection in two parental lines for an over-dominant QTL and increased frequency of the favorable allele toward fixation in the sire-line for a fully-dominant QTL. It was concluded that an optimal strategy of line development could be found by mate selection algorithms for a given set of parameters such as genetic model of QTL, breeding objective and initial frequency of the favorable allele in the base populations, etc. The same framework could be used in other scenarios, such as programs involving crossing to exploit breed effects and heterosis. In contrast to classical index selection, this approach to mate selection can optimize long-term responses. |
format | Text |
id | pubmed-2689303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26893032009-06-02 Optimization of a crossing system using mate selection Li, Yongjun Werf, Julius HJ van der Kinghorn, Brian P Genet Sel Evol Research A simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations. Mate selection automatically invokes divergent selection in two parental lines for an over-dominant QTL and increased frequency of the favorable allele toward fixation in the sire-line for a fully-dominant QTL. It was concluded that an optimal strategy of line development could be found by mate selection algorithms for a given set of parameters such as genetic model of QTL, breeding objective and initial frequency of the favorable allele in the base populations, etc. The same framework could be used in other scenarios, such as programs involving crossing to exploit breed effects and heterosis. In contrast to classical index selection, this approach to mate selection can optimize long-term responses. BioMed Central 2006-02-24 /pmc/articles/PMC2689303/ /pubmed/16492372 http://dx.doi.org/10.1186/1297-9686-38-2-147 Text en Copyright © 2006 INRA, EDP Sciences |
spellingShingle | Research Li, Yongjun Werf, Julius HJ van der Kinghorn, Brian P Optimization of a crossing system using mate selection |
title | Optimization of a crossing system using mate selection |
title_full | Optimization of a crossing system using mate selection |
title_fullStr | Optimization of a crossing system using mate selection |
title_full_unstemmed | Optimization of a crossing system using mate selection |
title_short | Optimization of a crossing system using mate selection |
title_sort | optimization of a crossing system using mate selection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689303/ https://www.ncbi.nlm.nih.gov/pubmed/16492372 http://dx.doi.org/10.1186/1297-9686-38-2-147 |
work_keys_str_mv | AT liyongjun optimizationofacrossingsystemusingmateselection AT werfjuliushjvander optimizationofacrossingsystemusingmateselection AT kinghornbrianp optimizationofacrossingsystemusingmateselection |