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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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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)