Oracle selection provides insight into how far off practice is from Utopia in plant breeding
Since the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the genetic gain as well as methods for improving t...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-07-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1218665/full |
| _version_ | 1797775040677150720 |
|---|---|
| author | David Vanavermaete Steven Maenhout Jan Fostier Bernard De Baets |
| author_facet | David Vanavermaete Steven Maenhout Jan Fostier Bernard De Baets |
| author_sort | David Vanavermaete |
| collection | DOAJ |
| description | Since the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the genetic gain as well as methods for improving the predictive performance of genomic selection have been proposed. Unfortunately, it remains difficult to measure to what extent these methods really maximize long-term genetic values. In this study, we propose oracle selection, a hypothetical frame of mind that uses the ground truth to optimally select parents or optimize the training population in order to maximize the genetic gain in each breeding cycle. Clearly, oracle selection cannot be applied in a true breeding program, but allows for the assessment of existing parental selection and training population update methods and the evaluation of how far these methods are from the optimal utopian solution. |
| first_indexed | 2024-03-12T22:29:07Z |
| format | Article |
| id | doaj.art-d73ea61f96dd4718bf6128749a051144 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-03-12T22:29:07Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-d73ea61f96dd4718bf6128749a0511442023-07-21T18:25:32ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-07-011410.3389/fpls.2023.12186651218665Oracle selection provides insight into how far off practice is from Utopia in plant breedingDavid Vanavermaete0Steven Maenhout1Jan Fostier2Bernard De Baets3KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, BelgiumPredictive Breeding, Department of Plants and Crops, Ghent University, Ghent, BelgiumIDLab, Department of Information Technology, Ghent University - imec, Ghent, BelgiumKERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, BelgiumSince the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the genetic gain as well as methods for improving the predictive performance of genomic selection have been proposed. Unfortunately, it remains difficult to measure to what extent these methods really maximize long-term genetic values. In this study, we propose oracle selection, a hypothetical frame of mind that uses the ground truth to optimally select parents or optimize the training population in order to maximize the genetic gain in each breeding cycle. Clearly, oracle selection cannot be applied in a true breeding program, but allows for the assessment of existing parental selection and training population update methods and the evaluation of how far these methods are from the optimal utopian solution.https://www.frontiersin.org/articles/10.3389/fpls.2023.1218665/fullgenetic gaingenetic selectiongenetic variationgenetic valueoraclescoping |
| spellingShingle | David Vanavermaete Steven Maenhout Jan Fostier Bernard De Baets Oracle selection provides insight into how far off practice is from Utopia in plant breeding Frontiers in Plant Science genetic gain genetic selection genetic variation genetic value oracle scoping |
| title | Oracle selection provides insight into how far off practice is from Utopia in plant breeding |
| title_full | Oracle selection provides insight into how far off practice is from Utopia in plant breeding |
| title_fullStr | Oracle selection provides insight into how far off practice is from Utopia in plant breeding |
| title_full_unstemmed | Oracle selection provides insight into how far off practice is from Utopia in plant breeding |
| title_short | Oracle selection provides insight into how far off practice is from Utopia in plant breeding |
| title_sort | oracle selection provides insight into how far off practice is from utopia in plant breeding |
| topic | genetic gain genetic selection genetic variation genetic value oracle scoping |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1218665/full |
| work_keys_str_mv | AT davidvanavermaete oracleselectionprovidesinsightintohowfaroffpracticeisfromutopiainplantbreeding AT stevenmaenhout oracleselectionprovidesinsightintohowfaroffpracticeisfromutopiainplantbreeding AT janfostier oracleselectionprovidesinsightintohowfaroffpracticeisfromutopiainplantbreeding AT bernarddebaets oracleselectionprovidesinsightintohowfaroffpracticeisfromutopiainplantbreeding |