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dc.contributor.author
Cappa, Eduardo Pablo
dc.contributor.author
Stoehr, Michael U.
dc.contributor.author
Xie, Chang-Yi
dc.contributor.author
Yanchuk, Alvin D.
dc.date.available
2018-05-31T14:46:50Z
dc.date.issued
2016-12
dc.identifier.citation
Cappa, Eduardo Pablo; Stoehr, Michael U.; Xie, Chang-Yi; Yanchuk, Alvin D.; Identification and joint modeling of competition effects and environmental heterogeneity in three Douglas-fir (Pseudotsuga menziesii var. menziesii) trials; Springer Heidelberg; Tree Genetics & Genomes; 12; 6; 12-2016; 1-12
dc.identifier.issn
1614-2942
dc.identifier.uri
http://hdl.handle.net/11336/46774
dc.description.abstract
(Co)variance matrices for the assumed model, and thus the specification of the dispersion parameters, should take into account both the negative competition and the positive spatial correlations. In this context, we applied several approaches to identify and quantify the genetic and environmental competition effects and/or environmental heterogeneity in three Douglas-fir genetic trials from the British Columbia tree improvement program in total height and diameter at breast height at ages 12 and 35. Then, we applied an individual-tree mixed model to account jointly for competition effects and environmental heterogeneity (competition + spatial mixed model, CSM). We also compared the resulting estimates of all dispersion parameters and breeding values (BVs) with corresponding estimates from three simpler mixed models. Our analysis revealed that strong spatial environmental variation (predominantly at large-scale) covered the effects of competition in the three Douglas-fir progeny trials. While diameter at breast height at age 35 revealed strong competition effects at both genetic and environmental levels, these effects were not as strong for total height. In general, with strong competition genetic effects, the CSM gave a better fit than the simpler models. Ignoring competition effects and environmental heterogeneity resulted in lower additive genetic variances and higher residual variances than those estimated from the CSM. Ignoring competition effects leads to overestimating environmental heterogeneity, while ignoring the environmental heterogeneity leads to underestimating competition effects. Spearman correlations between BVs predicted from the simplest model and total BVs from the CSM were moderate to high. The implications of all these findings for the genetic improvement of coastal Douglas-fir in British Columbia are discussed.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Heidelberg
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Total Height
dc.subject
Diameter at Breast Height
dc.subject
Individual-Tree Mixed Model
dc.subject
Indirect Genetic Effect
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Total Breeding Values
dc.subject.classification
Agronomía, reproducción y protección de plantas
dc.subject.classification
Agricultura, Silvicultura y Pesca
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Identification and joint modeling of competition effects and environmental heterogeneity in three Douglas-fir (Pseudotsuga menziesii var. menziesii) trials
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-05-30T14:26:32Z
dc.journal.volume
12
dc.journal.number
6
dc.journal.pagination
1-12
dc.journal.pais
Alemania
dc.description.fil
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Stoehr, Michael U.. British Columbia Ministry of Forests, Lands and Natural Resource Operations; Canadá
dc.description.fil
Fil: Xie, Chang-Yi. British Columbia Ministry of Forests, Lands and Natural Resource Operations; Canadá
dc.description.fil
Fil: Yanchuk, Alvin D.. British Columbia Ministry of Forests, Lands and Natural Resource Operations; Canadá
dc.journal.title
Tree Genetics & Genomes
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s11295-016-1061-4
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1007/s11295-016-1061-4


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