Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures
This study presents a novel approach for the optimization of genomic parental selection in breeding programs involving categorical and continuous-categorical multi-trait mixtures (CMs and CCMMs). Utilizing the Bayesian decision theory (BDT) and latent trait models within a multivariate normal distri...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/152329 |
| _version_ | 1855538304288555008 |
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| author | Villar-Hernandez, Bartolo de Jesús Perez-Rodriguez, Paulino Vitale, Paolo Gerard, Guillermo S. Montesinos-Lopez, Osval A. Saint Pierre, Carolina Crossa, José Dreisigacker, Susanne |
| author_browse | Crossa, José Dreisigacker, Susanne Gerard, Guillermo S. Montesinos-Lopez, Osval A. Perez-Rodriguez, Paulino Saint Pierre, Carolina Villar-Hernandez, Bartolo de Jesús Vitale, Paolo |
| author_facet | Villar-Hernandez, Bartolo de Jesús Perez-Rodriguez, Paulino Vitale, Paolo Gerard, Guillermo S. Montesinos-Lopez, Osval A. Saint Pierre, Carolina Crossa, José Dreisigacker, Susanne |
| author_sort | Villar-Hernandez, Bartolo de Jesús |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study presents a novel approach for the optimization of genomic parental selection in breeding programs involving categorical and continuous-categorical multi-trait mixtures (CMs and CCMMs). Utilizing the Bayesian decision theory (BDT) and latent trait models within a multivariate normal distribution framework, we address the complexities of selecting new parental lines across ordinal and continuous traits for breeding. Our methodology enhances precision and flexibility in genetic selection, validated through extensive simulations. This unified approach presents significant potential for the advancement of genetic improvements in diverse breeding contexts, underscoring the importance of integrating both categorical and continuous traits in genomic selection frameworks. |
| format | Journal Article |
| id | CGSpace152329 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1523292025-12-08T10:29:22Z Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures Villar-Hernandez, Bartolo de Jesús Perez-Rodriguez, Paulino Vitale, Paolo Gerard, Guillermo S. Montesinos-Lopez, Osval A. Saint Pierre, Carolina Crossa, José Dreisigacker, Susanne bayesian theory genomics breeding programmes experimental data marker-assisted selection This study presents a novel approach for the optimization of genomic parental selection in breeding programs involving categorical and continuous-categorical multi-trait mixtures (CMs and CCMMs). Utilizing the Bayesian decision theory (BDT) and latent trait models within a multivariate normal distribution framework, we address the complexities of selecting new parental lines across ordinal and continuous traits for breeding. Our methodology enhances precision and flexibility in genetic selection, validated through extensive simulations. This unified approach presents significant potential for the advancement of genetic improvements in diverse breeding contexts, underscoring the importance of integrating both categorical and continuous traits in genomic selection frameworks. 2024 2024-09-20T19:31:51Z 2024-09-20T19:31:51Z Journal Article https://hdl.handle.net/10568/152329 en Open Access application/pdf MDPI Villar-Hernández, B. D. J., Pérez-Rodríguez, P., Vitale, P., Gerard, G., Montesinos-Lopez, O. A., Saint Pierre, C., Crossa, J., & Dreisigacker, S. (2024). Optimizing genomic parental selection for categorical and continuous–categorical multi-trait mixtures. Genes, 15(8), 995. https://doi.org/10.3390/genes15080995 |
| spellingShingle | bayesian theory genomics breeding programmes experimental data marker-assisted selection Villar-Hernandez, Bartolo de Jesús Perez-Rodriguez, Paulino Vitale, Paolo Gerard, Guillermo S. Montesinos-Lopez, Osval A. Saint Pierre, Carolina Crossa, José Dreisigacker, Susanne Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title | Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title_full | Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title_fullStr | Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title_full_unstemmed | Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title_short | Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures |
| title_sort | optimizing genomic parental selection for categorical and continuous categorical multi trait mixtures |
| topic | bayesian theory genomics breeding programmes experimental data marker-assisted selection |
| url | https://hdl.handle.net/10568/152329 |
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