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...
| Autores: | , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Argentina |
| Institución: | Instituto Nacional de Tecnología Agropecuaria |
| Repositorio: | INTA Digital (INTA) |
| Idioma: | inglés |
| OAI Identifier: | oai:localhost:20.500.12123/11776 |
| Acceso en línea: | 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 |
| Access Level: | acceso abierto |
| Palabra clave: | Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce |
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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 |
| spellingShingle |
Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program Cappa, Eduardo Pablo Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce |
| title_short |
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_sort |
Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program |
| dc.creator.none.fl_str_mv |
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 |
Cappa, Eduardo Pablo |
| 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_role |
author |
| author2 |
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. |
| author2_role |
author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce |
| topic |
Genómica Fitomejoramiento Picea glauca Clima Cambio Climático Productividad Genomics Plant Breeding Climate Climate Change Productivity Abeto Blanco White Spruce |
| 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. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-04-29T16:31:59Z 2022-04-29T16:31:59Z 2022-03 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
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 |
| 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 |
| identifier_str_mv |
1932-6203 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
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) |
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openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Plos ONE |
| publisher.none.fl_str_mv |
Plos ONE |
| dc.source.none.fl_str_mv |
PLoS ONE 17 (3) : e0264549. (March 2022) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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1799197091782721536 |
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Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding programCappa, Eduardo PabloKlutsch, Jennifer G.Sebastian-Azcona, JaimeRatcliffe, BlaiseXiaojing, WeiDa Ros, LetitiaYang, LiuChen, CharlesBenowicz, AndySadoway, ShaneMansfield, Shawn D.Erbilgin, NadirThomas, Barb R.El-Kassaby, Yousry A.GenómicaFitomejoramientoPicea glaucaClimaCambio ClimáticoProductividadGenomicsPlant BreedingClimateClimate ChangeProductivityAbeto BlancoWhite SpruceTree 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 BiológicosFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Cappa, Eduardo Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Klutsch, Jenifer G. University of Alberta; Department of Renewable Resources; CanadaFil: Sebastian-Azcona, Jaime. University of Alberta; Department of Renewable Resources; CanadaFil: Ratchiffe, Blaise. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; CanadáFil: Xiaojing, Wei. University of Alberta; Department of Renewable Resources; CanadaFil: Da Ros, Letitia. University of British Columbia. Faculty of Forestry. Department of Wood Science; CanadáFil: Yang, Liu. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; CanadáFil: Chen, Charles. Oklahoma State University. Department of Biochemistry and Molecular Biology; Estados UnidosFil: Benowicz, Andy. Alberta Agriculture and Forestry. Forest Stewardship and Trade Branch; CanadáFil: Sadoway, Shane. Blue Ridge Lumber Inc.; CanadáFil: Mansfield, Shawn D. University of British Columbia. Faculty of Forestry. Department of Wood Science; CanadáFil: Erbilgin, Nadir. University of Alberta; Department of Renewable Resources; CanadaFil: Thomas, Barb R. University of Alberta; Department of Renewable Resources; CanadaFil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; CanadáPlos ONE2022-04-29T16:31:59Z2022-04-29T16:31:59Z2022-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/11776https://journals.plos.org/plosone/article?id=10.1371/journal.pone.02645491932-6203https://doi.org/10.1371/journal.pone.0264549PLoS ONE 17 (3) : e0264549. (March 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2024-05-15T12:25:17Zoai:localhost:20.500.12123/11776instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2024-05-15 12:25:17.815INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
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