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dc.contributor.author
Cappa, Eduardo Pablo
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dc.contributor.author
Klutsch, Jennifer G.
dc.contributor.author
Azcona, Jaime Sebastian
dc.contributor.author
Ratcliffe, Blaise
dc.contributor.author
Wei, Xiaojing
dc.contributor.author
Letitia Da Ros
dc.contributor.author
Liu, Yang
dc.contributor.author
Chen, Charles
dc.contributor.author
Benowicz, Andy
dc.contributor.author
Sadoway, Shane
dc.contributor.author
Mansfield, Shawn D.
dc.contributor.author
Erbilgin, Nadir
dc.contributor.author
Thomas, Barb R.
dc.contributor.author
El-Kassaby, Yousry A.
dc.date.available
2023-02-07T13:22:08Z
dc.date.issued
2022-03
dc.identifier.citation
Cappa, Eduardo Pablo; Klutsch, Jennifer G.; Azcona, Jaime Sebastian; Ratcliffe, Blaise; Wei, Xiaojing; et al.; Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program; Public Library of Science; Plos One; 17; 3-2022; 1-28
dc.identifier.issn
1932-6203
dc.identifier.uri
http://hdl.handle.net/11336/187151
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Public Library of Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
PRODUCTIVITY AND CLIMATE-ADAPTABILITY TRAITS
dc.subject
TREE IMPROVEMENT
dc.subject
QUANTITATIVE PEDIGREE AND GENOMIC ANALYSIS
dc.subject
WHITE SPRUCE
dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-02-06T10:20:38Z
dc.journal.volume
17
dc.journal.pagination
1-28
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
San Francisco
dc.description.fil
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Klutsch, Jennifer G.. University of Alberta; Canadá
dc.description.fil
Fil: Azcona, Jaime Sebastian. University of Alberta; Canadá
dc.description.fil
Fil: Ratcliffe, Blaise. University of British Columbia; Canadá
dc.description.fil
Fil: Wei, Xiaojing. University of Alberta; Canadá
dc.description.fil
Fil: Letitia Da Ros. University of British Columbia; Canadá
dc.description.fil
Fil: Liu, Yang. University of British Columbia; Canadá
dc.description.fil
Fil: Chen, Charles. Oklahoma State University; Estados Unidos
dc.description.fil
Fil: Benowicz, Andy. Forest Stewardship And Trade Branch Alberta Agriculture; Canadá
dc.description.fil
Fil: Sadoway, Shane. No especifíca;
dc.description.fil
Fil: Mansfield, Shawn D.. University of British Columbia; Canadá
dc.description.fil
Fil: Erbilgin, Nadir. University of Alberta; Canadá
dc.description.fil
Fil: Thomas, Barb R.. University of Alberta; Canadá
dc.description.fil
Fil: El-Kassaby, Yousry A.. University of British Columbia; Canadá
dc.journal.title
Plos One
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264549
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pone.0264549
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