Efficient genomics-based ‘end-to-end’ selective tree breeding framework
Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged to accelerate this process or address environmental contingencies and conc...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Springer Nature
2024
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/17251 https://www.nature.com/articles/s41437-023-00667-w https://doi.org/10.1038/s41437-023-00667-w |
| _version_ | 1855485918283038720 |
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| author | El-Kassaby, Yousry A. Cappa, Eduardo Pablo Chen, Charles Ratcliffe, Blaise Porth, Ilga M. |
| author_browse | Cappa, Eduardo Pablo Chen, Charles El-Kassaby, Yousry A. Porth, Ilga M. Ratcliffe, Blaise |
| author_facet | El-Kassaby, Yousry A. Cappa, Eduardo Pablo Chen, Charles Ratcliffe, Blaise Porth, Ilga M. |
| author_sort | El-Kassaby, Yousry A. |
| collection | INTA Digital |
| description | Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged to accelerate this process or address environmental contingencies and concerns. Here, we introduce an “end-to-end” selective tree breeding framework that: (1) leverages strategically preselected GWAS-based sequence data capturing trait architecture information, (2) generates unprecedented resolution of genealogical relationships among tested individuals, and (3) leads to the elimination of the breeding phase through the utilization of readily available wind-pollinated (OP) families. Individuals’ breeding values generated from multi-trait multi-site analysis were also used in an optimum contribution selection protocol to effectively manage genetic gain/co-ancestry trade-offs and traits’ correlated response to selection. The proof-of-concept study involved a 40-year-old spruce OP testing population growing on three sites in British Columbia, Canada, clearly demonstrating our method’s superiority in capturing most of the available genetic gains in a substantially reduced timeline relative to the traditional approach. The proposed framework is expected to increase the efficiency of existing selective breeding programs, accelerate the start of new programs for ecologically and environmentally important tree species, and address climate-change caused biotic and abiotic stress concerns more effectively. |
| format | Artículo |
| id | INTA17251 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INTA172512024-03-27T18:35:25Z Efficient genomics-based ‘end-to-end’ selective tree breeding framework El-Kassaby, Yousry A. Cappa, Eduardo Pablo Chen, Charles Ratcliffe, Blaise Porth, Ilga M. Fitomejoramiento Plant Breeding Genomics Genómica Mejoramiento Selectivo de Arboles Selective Tree Breeding Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged to accelerate this process or address environmental contingencies and concerns. Here, we introduce an “end-to-end” selective tree breeding framework that: (1) leverages strategically preselected GWAS-based sequence data capturing trait architecture information, (2) generates unprecedented resolution of genealogical relationships among tested individuals, and (3) leads to the elimination of the breeding phase through the utilization of readily available wind-pollinated (OP) families. Individuals’ breeding values generated from multi-trait multi-site analysis were also used in an optimum contribution selection protocol to effectively manage genetic gain/co-ancestry trade-offs and traits’ correlated response to selection. The proof-of-concept study involved a 40-year-old spruce OP testing population growing on three sites in British Columbia, Canada, clearly demonstrating our method’s superiority in capturing most of the available genetic gains in a substantially reduced timeline relative to the traditional approach. The proposed framework is expected to increase the efficiency of existing selective breeding programs, accelerate the start of new programs for ecologically and environmentally important tree species, and address climate-change caused biotic and abiotic stress concerns more effectively. Instituto de Recursos Biológicos Fil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canadá Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina Fil: Chen, Charles. Oklahoma State University. Department of Biochemistry and Molecular Biology; Estados Unidos Fil: Rateliffe, Blaise. University of British Columbia, Faculty of Forestry. Department of Forest and Conservation Sciences; Canadá Fil: Porth, Ilga. Université Laval Québec. Faculté de Foresterie, de Géographie et Géomatique. Départment des Sciences du Bois et de la Forêt; Canadá 2024-03-27T18:08:58Z 2024-03-27T18:08:58Z 2024-01-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17251 https://www.nature.com/articles/s41437-023-00667-w 1365-2540 0018-067X https://doi.org/10.1038/s41437-023-00667-w eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer Nature Heredity 132 : 98-105. (2024) |
| spellingShingle | Fitomejoramiento Plant Breeding Genomics Genómica Mejoramiento Selectivo de Arboles Selective Tree Breeding El-Kassaby, Yousry A. Cappa, Eduardo Pablo Chen, Charles Ratcliffe, Blaise Porth, Ilga M. Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title | Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title_full | Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title_fullStr | Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title_full_unstemmed | Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title_short | Efficient genomics-based ‘end-to-end’ selective tree breeding framework |
| title_sort | efficient genomics based end to end selective tree breeding framework |
| topic | Fitomejoramiento Plant Breeding Genomics Genómica Mejoramiento Selectivo de Arboles Selective Tree Breeding |
| url | http://hdl.handle.net/20.500.12123/17251 https://www.nature.com/articles/s41437-023-00667-w https://doi.org/10.1038/s41437-023-00667-w |
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