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Resumen
Non-spatial and spatial analyses were carried out to estimate genetic parameters for growth and stem straightness traits between ages 4 and 7 in two series of eight progeny trials of Pinus elliottii Engelm. var. elliottii (PEE) established in 2004 and 2008, comprising 429 open-pollinated families from Instituto Nacional de Tecnología Agropecuaria (INTA) tree breeding population in Argentina. A first-order autoregressive spatial mixed model was found to [ver mas...]
dc.contributor.authorBelaber, Ector C.
dc.contributor.authorGauchat, Maria Elena
dc.contributor.authorRodriguez, Gustavo Hernan
dc.contributor.authorBorralho, Nuno M.
dc.contributor.authorCappa, Eduardo Pablo
dc.date.accessioned2018-09-07T12:45:48Z
dc.date.available2018-09-07T12:45:48Z
dc.date.issued2018-09-01
dc.identifier.issn0169-4286
dc.identifier.issn1573-5095
dc.identifier.otherhttps://doi.org/10.1007/s11056-018-9682-0
dc.identifier.urihttps://link.springer.com/article/10.1007/s11056-018-9682-0
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3307
dc.description.abstractNon-spatial and spatial analyses were carried out to estimate genetic parameters for growth and stem straightness traits between ages 4 and 7 in two series of eight progeny trials of Pinus elliottii Engelm. var. elliottii (PEE) established in 2004 and 2008, comprising 429 open-pollinated families from Instituto Nacional de Tecnología Agropecuaria (INTA) tree breeding population in Argentina. A first-order autoregressive spatial mixed model was found to significantly improve the fit of the model, compared with the standard non-spatial mixed model approach, due to substantial spatial heterogeneity within sites. The average individual-tree narrow-sense heritability estimates based on this spatial analysis were 0.49 for diameter at breast height, 0.36 for total height, and 0.48 for volume, with stem straightness being low to moderate (average = 0.11). The additive genetic correlation estimates between growth traits were positive (0.51 ≤  r^a  ≤ 0.99) and statistically significant from zero. In contrast, the genetic correlations between growth traits and stem straightness although in general also positive were not significantly different from zero (− 0.22 ≤  r^a  ≤ 0.59). Age-to-age genetic correlations were consistently higher for growth traits ( r^a  ≥ 0.81) than for stem straightness ( r^a  ≥ 0.33). The average additive genetic correlation estimated between sites within test series was high for all traits evaluated (average > 0.72). In contrast, average additive genetic correlation estimated between sites across series was slightly lower (average < 0.63). Implications of all these parameter estimates for genetic improvement of PEE in Argentina are discussed.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceNew Forests : 1–23 (September 2018)es_AR
dc.subjectPinus elliottiies_AR
dc.subjectParámetros Genéticoses_AR
dc.subjectGenetic Parameterseng
dc.subjectPruebas de Descendenciaes_AR
dc.subjectProgeny Testingeng
dc.subjectDistribución Espaciales_AR
dc.subjectSpatial Distributioneng
dc.subjectFitomejoramientoes_AR
dc.subjectPlant Breedingeng
dc.subject.otherArgentinaes_AR
dc.titleEstimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Montecarloes_AR
dc.description.filFil: Belaber, Ector C. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentinaes_AR
dc.description.filFil: Gauchat, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentinaes_AR
dc.description.filFil: Rodriguez, Gustavo Hernan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentinaes_AR
dc.description.filFil: Borralho, Nuno M. Cartaxo; Portugal. Universidade Técnica de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; Portugales_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.subtypecientifico


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