Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-a...
- Autores
- Cappa, Eduardo Pablo
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- White spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a changing climate. Genome-wide association studies (GWAS) and genomic prediction (GP) are potent tools for understanding complex traits in forest trees. However, their application to genotype-by-environment interactions in white spruce remains limited, highlighting a research gap in forest tree genetics. We conducted a comprehensive multi-environmental GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits assessed on 1,540 white spruce trees from central Alberta, Canada, genotyped for 467,224 SNP markers, and growing across three environments.
Instituto de Recursos Biológicos
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Fuente
- North American Forest Genetics Society 2024 Conference. June 10th-14th 2024, Oaxaca, México
- Materia
-
Picea glauca
Bosque boreal
boreal forests
Ecosistema forestal
forest ecosystems
Abies concolor
Abeto Blanco - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/18461
Ver los metadatos del registro completo
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Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptabilityCappa, Eduardo PabloPicea glaucaBosque borealboreal forestsEcosistema forestalforest ecosystemsAbies concolorAbeto BlancoWhite spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a changing climate. Genome-wide association studies (GWAS) and genomic prediction (GP) are potent tools for understanding complex traits in forest trees. However, their application to genotype-by-environment interactions in white spruce remains limited, highlighting a research gap in forest tree genetics. We conducted a comprehensive multi-environmental GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits assessed on 1,540 white spruce trees from central Alberta, Canada, genotyped for 467,224 SNP markers, and growing across three environments.Instituto de Recursos BiológicosFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaNorth American Forest Genetics Society2024-07-11T11:05:08Z2024-07-11T11:05:08Z2024-06-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/18461North American Forest Genetics Society 2024 Conference. June 10th-14th 2024, Oaxaca, Méxicoreponame: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)2025-09-29T13:46:38Zoai:localhost:20.500.12123/18461instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:46:39.08INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
title |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
spellingShingle |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability Cappa, Eduardo Pablo Picea glauca Bosque boreal boreal forests Ecosistema forestal forest ecosystems Abies concolor Abeto Blanco |
title_short |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
title_full |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
title_fullStr |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
title_full_unstemmed |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
title_sort |
Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability |
dc.creator.none.fl_str_mv |
Cappa, Eduardo Pablo |
author |
Cappa, Eduardo Pablo |
author_facet |
Cappa, Eduardo Pablo |
author_role |
author |
dc.subject.none.fl_str_mv |
Picea glauca Bosque boreal boreal forests Ecosistema forestal forest ecosystems Abies concolor Abeto Blanco |
topic |
Picea glauca Bosque boreal boreal forests Ecosistema forestal forest ecosystems Abies concolor Abeto Blanco |
dc.description.none.fl_txt_mv |
White spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a changing climate. Genome-wide association studies (GWAS) and genomic prediction (GP) are potent tools for understanding complex traits in forest trees. However, their application to genotype-by-environment interactions in white spruce remains limited, highlighting a research gap in forest tree genetics. We conducted a comprehensive multi-environmental GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits assessed on 1,540 white spruce trees from central Alberta, Canada, genotyped for 467,224 SNP markers, and growing across three environments. Instituto de Recursos Biológicos Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
White spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a changing climate. Genome-wide association studies (GWAS) and genomic prediction (GP) are potent tools for understanding complex traits in forest trees. However, their application to genotype-by-environment interactions in white spruce remains limited, highlighting a research gap in forest tree genetics. We conducted a comprehensive multi-environmental GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits assessed on 1,540 white spruce trees from central Alberta, Canada, genotyped for 467,224 SNP markers, and growing across three environments. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-07-11T11:05:08Z 2024-07-11T11:05:08Z 2024-06-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/18461 |
url |
http://hdl.handle.net/20.500.12123/18461 |
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) |
eu_rights_str_mv |
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) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
North American Forest Genetics Society |
publisher.none.fl_str_mv |
North American Forest Genetics Society |
dc.source.none.fl_str_mv |
North American Forest Genetics Society 2024 Conference. June 10th-14th 2024, Oaxaca, México reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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1844619190534668288 |
score |
12.559606 |