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Abstract
A thorough understanding of the heritability, genetic correlations and additive and non-additive variance components of tree growth and wood properties is a requisite for effective tree breeding. This knowledge is essential to maximize genetic gain, that is, the amount of increase in trait performance achieved annually through directional selection. Understanding the genetic attributes of traits targeted by breeding is also important to sustain decadelong [ver mas...]
dc.contributor.authorde Lima, Bruno Marco
dc.contributor.authorCappa, Eduardo Pablo
dc.contributor.authorSilva-Junior, Orzenil B.
dc.contributor.authorGarcía, Carla C.
dc.contributor.authorMansfield, Shawn D.
dc.contributor.authorGrattapaglia, Dario
dc.date.accessioned2019-11-19T13:43:05Z
dc.date.available2019-11-19T13:43:05Z
dc.date.issued2019-06-24
dc.identifier.issn1932-6203
dc.identifier.otherhttps://doi.org/10.1371/journal.pone.0218747
dc.identifier.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218747
dc.identifier.urihttp://hdl.handle.net/20.500.12123/6330
dc.description.abstractA thorough understanding of the heritability, genetic correlations and additive and non-additive variance components of tree growth and wood properties is a requisite for effective tree breeding. This knowledge is essential to maximize genetic gain, that is, the amount of increase in trait performance achieved annually through directional selection. Understanding the genetic attributes of traits targeted by breeding is also important to sustain decadelong genetic progress, that is, the progress made by increasing the average genetic value of the offspring as compared to that of the parental generation. In this study, we report quantitative genetic parameters for fifteen growth, wood chemical and physical traits for the worldfamous Eucalyptus urograndis hybrid (E. grandis×E. urophylla). These traits directly impact the optimal use of wood for cellulose pulp, paper, and energy production. A population of 1,000 trees sampled in a progeny trial was phenotyped directly or following the development and use of near-infrared spectroscopy calibration models. Trees were genotyped with 33,398 SNPs and 24,001 DArT-seq genome-wide markers and genomic realized relationship matrices (GRM) were used for parameter estimation with an individual-tree additivedominant mixed model. Wood chemical properties and wood density showed stronger genetic control than growth, cellulose and fiber traits. Additive effects are the main drivers of genetic variation for all traits, but dominance plays an equally or more important role for growth, singularly in this hybrid. GRM´s with>10,000 markers provided stable relationships estimates and more accurate parameters than pedigrees by capturing the full genetic relationships among individuals and disentangling the non-additive from the additive genetic component. Low correlations between growth and wood properties indicate that simultaneous selection for wood traits can be applied with minor effects on genetic gain for growth. Conversely, moderate to strong correlations between wood density and chemical traits exist, likely due to their interdependency on cell wall structure such that responses to selection will be connected for these traits. Our results illustrate the advantage of using genomewide marker data to inform tree breeding in general and have important consequences for operational breeding of eucalypt urograndis hybrids.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.sourcePLoS ONE 14 (6): e0218747 (June 2019)es_AR
dc.subjectPhenotypeseng
dc.subjectFenotiposes_AR
dc.subjectEucalyptuses_AR
dc.subjectSingle Nucleotide Polymorphismeng
dc.subjectPolimorfismo de un Solo Nucleótidoes_AR
dc.subjectQuantitative Geneticseng
dc.subjectGenética Cuantitativaes_AR
dc.titleQuantitative genetic parameters for growth and wood properties in Eucalyptus “urograndis” hybrid using near-infrared phenotyping and genome-wide SNP-based relationshipses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.filFil: de Lima, Bruno Marco. FIBRIA S.A. Technology Center; Brasiles_AR
dc.description.filFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Silva-Junior, Orzenil B. da. EMBRAPA Recursos Genéticos e Biotecnologia; Brasil. Universidade Católica de Brasilia. Programa de Ciencias Genéticas y Biotecnología; Brasiles_AR
dc.description.filFil: García, Carla C. International Paper of Brazil; Brasiles_AR
dc.description.filFil: Mansfield, Shawn D. University of British Columbia. Faculty of Forestry. Department of Wood Science; Canadáes_AR
dc.description.filFil: Grattapaglia, Dario. EMBRAPA Recursos Genéticos e Biotecnologia; Brasil. Universidade Católica de Brasilia. Programa de Ciencias Genéticas y Biotecnología; Brasiles_AR
dc.subtypecientifico


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