Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program
Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. Therefore, quantifying the genetic variation and correlations among productivity a...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
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Plos ONE
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/11776 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264549 https://doi.org/10.1371/journal.pone.0264549 |
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| author | Cappa, Eduardo Pablo Klutsch, Jennifer G. Sebastian-Azcona, Jaime Ratcliffe, Blaise Xiaojing, Wei Da Ros, Letitia Yang, Liu Chen, Charles Benowicz, Andy Sadoway, Shane Mansfield, Shawn D. Erbilgin, Nadir Thomas, Barb R. El-Kassaby, Yousry A. |
| author_browse | Benowicz, Andy Cappa, Eduardo Pablo Chen, Charles Da Ros, Letitia El-Kassaby, Yousry A. Erbilgin, Nadir Klutsch, Jennifer G. Mansfield, Shawn D. Ratcliffe, Blaise Sadoway, Shane Sebastian-Azcona, Jaime Thomas, Barb R. Xiaojing, Wei Yang, Liu |
| author_facet | Cappa, Eduardo Pablo Klutsch, Jennifer G. Sebastian-Azcona, Jaime Ratcliffe, Blaise Xiaojing, Wei Da Ros, Letitia Yang, Liu Chen, Charles Benowicz, Andy Sadoway, Shane Mansfield, Shawn D. Erbilgin, Nadir Thomas, Barb R. El-Kassaby, Yousry A. |
| author_sort | Cappa, Eduardo Pablo |
| collection | INTA Digital |
| description | Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. Therefore, quantifying the genetic variation and correlations among productivity and adaptability traits, and the importance of genotype by environment interactions, including defense compounds involved in biotic and abiotic resistance, is essential for selecting parents for the production of resilient and sustainable forests. Here, we estimated quantitative genetic parameters for 15 growth, wood quality, drought resilience, and monoterpene traits for Picea glauca (Moench) Voss (white spruce). We sampled 1,540 trees from three open-pollinated progeny trials, genotyped with 467,224 SNP markers using genotyping-by-sequencing (GBS). We used the pedigree and SNP information to calculate, respectively, the average numerator and genomic relationship matrices, and univariate and multivariate individual-tree models to obtain estimates of (co)variance components. With few site-specific exceptions, all traits examined were under genetic control. Overall, higher heritability estimates were derived from the genomic- than their counterpart pedigree-based relationship matrix. Selection for height, generally, improved diameter and water use efficiency, but decreased wood density, microfibril angle, and drought resistance. Genome-based correlations between traits reaffirmed the pedigree-based correlations for most trait pairs. High and positive genetic correlations between sites were observed (average 0.68), except for those pairs involving the highest elevation, warmer, and moister site, specifically for growth and microfibril angle. These results illustrate the advantage of using genomic information jointly with productivity and adaptability traits, and defense compounds to enhance tree breeding selection for changing climate. |
| format | Artículo |
| id | INTA11776 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Plos ONE |
| publisherStr | Plos ONE |
| record_format | dspace |
| spelling | INTA117762022-10-21T12:57:57Z Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program Cappa, Eduardo Pablo Klutsch, Jennifer G. Sebastian-Azcona, Jaime Ratcliffe, Blaise Xiaojing, Wei Da Ros, Letitia Yang, Liu Chen, Charles Benowicz, Andy Sadoway, Shane Mansfield, Shawn D. Erbilgin, Nadir Thomas, Barb R. El-Kassaby, Yousry A. Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. Therefore, quantifying the genetic variation and correlations among productivity and adaptability traits, and the importance of genotype by environment interactions, including defense compounds involved in biotic and abiotic resistance, is essential for selecting parents for the production of resilient and sustainable forests. Here, we estimated quantitative genetic parameters for 15 growth, wood quality, drought resilience, and monoterpene traits for Picea glauca (Moench) Voss (white spruce). We sampled 1,540 trees from three open-pollinated progeny trials, genotyped with 467,224 SNP markers using genotyping-by-sequencing (GBS). We used the pedigree and SNP information to calculate, respectively, the average numerator and genomic relationship matrices, and univariate and multivariate individual-tree models to obtain estimates of (co)variance components. With few site-specific exceptions, all traits examined were under genetic control. Overall, higher heritability estimates were derived from the genomic- than their counterpart pedigree-based relationship matrix. Selection for height, generally, improved diameter and water use efficiency, but decreased wood density, microfibril angle, and drought resistance. Genome-based correlations between traits reaffirmed the pedigree-based correlations for most trait pairs. High and positive genetic correlations between sites were observed (average 0.68), except for those pairs involving the highest elevation, warmer, and moister site, specifically for growth and microfibril angle. These results illustrate the advantage of using genomic information jointly with productivity and adaptability traits, and defense compounds to enhance tree breeding selection for changing climate. Instituto de Recursos Biológicos Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina Fil: Cappa, Eduardo Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Klutsch, Jenifer G. University of Alberta; Department of Renewable Resources; Canada Fil: Sebastian-Azcona, Jaime. University of Alberta; Department of Renewable Resources; Canada Fil: Ratchiffe, Blaise. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canadá Fil: Xiaojing, Wei. University of Alberta; Department of Renewable Resources; Canada Fil: Da Ros, Letitia. University of British Columbia. Faculty of Forestry. Department of Wood Science; Canadá Fil: Yang, Liu. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canadá Fil: Chen, Charles. Oklahoma State University. Department of Biochemistry and Molecular Biology; Estados Unidos Fil: Benowicz, Andy. Alberta Agriculture and Forestry. Forest Stewardship and Trade Branch; Canadá Fil: Sadoway, Shane. Blue Ridge Lumber Inc.; Canadá Fil: Mansfield, Shawn D. University of British Columbia. Faculty of Forestry. Department of Wood Science; Canadá Fil: Erbilgin, Nadir. University of Alberta; Department of Renewable Resources; Canada Fil: Thomas, Barb R. University of Alberta; Department of Renewable Resources; Canada Fil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canadá 2022-04-29T16:31:59Z 2022-04-29T16:31:59Z 2022-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/11776 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264549 1932-6203 https://doi.org/10.1371/journal.pone.0264549 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 Plos ONE PLoS ONE 17 (3) : e0264549. (March 2022) |
| spellingShingle | Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce Cappa, Eduardo Pablo Klutsch, Jennifer G. Sebastian-Azcona, Jaime Ratcliffe, Blaise Xiaojing, Wei Da Ros, Letitia Yang, Liu Chen, Charles Benowicz, Andy Sadoway, Shane Mansfield, Shawn D. Erbilgin, Nadir Thomas, Barb R. El-Kassaby, Yousry A. Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title | Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title_full | Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title_fullStr | Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title_full_unstemmed | Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title_short | Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| title_sort | integrating genomic information and productivity and climate adaptability traits into a regional white spruce breeding program |
| topic | Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce |
| url | http://hdl.handle.net/20.500.12123/11776 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264549 https://doi.org/10.1371/journal.pone.0264549 |
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