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dc.contributor.author
Cappa, Eduardo Pablo
dc.contributor.author
Muñoz, Facundo
dc.contributor.author
Sanchez, Leopoldo
dc.contributor.author
Cantet, Rodolfo Juan Carlos
dc.date.available
2017-06-28T16:00:46Z
dc.date.issued
2015-12
dc.identifier.citation
Cappa, Eduardo Pablo; Muñoz, Facundo; Sanchez, Leopoldo; Cantet, Rodolfo Juan Carlos; A novel individual-tree mixed model to account for competition and environmental heterogeneity: a Bayesian approach; Springer Heidelberg; Tree Genetics & Genomes; 11; 12-2015; 120-135
dc.identifier.issn
1614-2942
dc.identifier.uri
http://hdl.handle.net/11336/19005
dc.description.abstract
Negative correlation caused by competition among individuals and positive spatial correlation due to environmental heterogeneity may lead to biases in estimating genetic parameters and predicting breeding values (BVs) from forest genetic trials. Former models dealing with competition and environmental heterogeneity did not account for the additive relationships among trees or for the full spatial covariance. This paper extends an individual-tree mixed model with direct additive genetic, genetic, and environmental competition effects, by incorporating a two-dimensional smoothing surface to account for complex patterns of environmental heterogeneity (competition + spatial model (CSM)). We illustrate the proposed model using simulated and real data from a loblolly pine progeny trial. The CSM was compared with three reduced individual-tree mixed models using a real dataset, while simulations comprised only CSM versus true-parameters comparisons. Dispersion parameters were estimated using Bayesian techniques via Gibbs sampling. Simulation results showed that the CSM yielded posterior mean estimates of variance components with slight or negligible biases in the studied scenarios, except for the permanent environment variance. The worst performance of the simulated CSM was under a scenario with weak competition effects and small-scale environmental heterogeneity. When analyzing real data, the CSM yielded a lower value of the deviance information criterion than the reduced models. Moreover, although correlations between predicted BVs calculated from CSM and from a standard model with block effects and direct genetic effects only were high, the ranking among the top 5 % ranked individuals showed differences which indicated that the two models will have quite different genotype selections for the next cycle of breeding.
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
Individual-Tree Mixed Model
dc.subject
Genetic And Environmental Competition Effects
dc.subject
Environmental Heterogeneity
dc.subject
Two-Dimensional Smoothing Surface
dc.subject.classification
Otras Agricultura, Silvicultura y Pesca
dc.subject.classification
Agricultura, Silvicultura y Pesca
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
A novel individual-tree mixed model to account for competition and environmental heterogeneity: a Bayesian approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-06-28T15:08:18Z
dc.identifier.eissn
1614-2950
dc.journal.volume
11
dc.journal.pagination
120-135
dc.journal.pais
Alemania
dc.journal.ciudad
Berlin
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: Muñoz, Facundo. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Sanchez, Leopoldo. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Tree Genetics & Genomes
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11295-015-0917-3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11295-015-0917-3


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