Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina

Autores
Belaber, Ector C.; Gauchat, Maria Elena; Rodriguez, Gustavo Hernan; Borralho, Nuno M.; Cappa, Eduardo Pablo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 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.
EEA Montecarlo
Fil: Belaber, Ector C. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Gauchat, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Rodriguez, Gustavo Hernan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Borralho, Nuno M. Cartaxo; Portugal. Universidade Técnica de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; Portugal
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
New Forests : 1–23 (September 2018)
Materia
Pinus elliottii
Parámetros Genéticos
Pruebas de Descendencia
Distribución Espacial
Fitomejoramiento
Genetic Parameters
Progeny Testing
Spatial Distribution
Plant Breeding
Argentina
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/3307
Acceder
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oai_identifier_str oai:localhost:20.500.12123/3307
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in ArgentinaBelaber, Ector C.Gauchat, Maria ElenaRodriguez, Gustavo HernanBorralho, Nuno M.Cappa, Eduardo PabloPinus elliottiiParámetros GenéticosPruebas de DescendenciaDistribución EspacialFitomejoramientoGenetic ParametersProgeny TestingSpatial DistributionPlant BreedingArgentinaNon-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.EEA MontecarloFil: Belaber, Ector C. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; ArgentinaFil: Gauchat, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; ArgentinaFil: Rodriguez, Gustavo Hernan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; ArgentinaFil: Borralho, Nuno M. Cartaxo; Portugal. Universidade Técnica de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; PortugalFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina2018-09-07T12:45:48Z2018-09-07T12:45:48Z2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://link.springer.com/article/10.1007/s11056-018-9682-0http://hdl.handle.net/20.500.12123/33070169-42861573-5095https://doi.org/10.1007/s11056-018-9682-0New Forests : 1–23 (September 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:25Zoai:localhost:20.500.12123/3307instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:26.059INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
title Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
spellingShingle Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
Belaber, Ector C.
Pinus elliottii
Parámetros Genéticos
Pruebas de Descendencia
Distribución Espacial
Fitomejoramiento
Genetic Parameters
Progeny Testing
Spatial Distribution
Plant Breeding
Argentina
title_short Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
title_full Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
title_fullStr Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
title_full_unstemmed Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
title_sort Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
dc.creator.none.fl_str_mv Belaber, Ector C.
Gauchat, Maria Elena
Rodriguez, Gustavo Hernan
Borralho, Nuno M.
Cappa, Eduardo Pablo
author Belaber, Ector C.
author_facet Belaber, Ector C.
Gauchat, Maria Elena
Rodriguez, Gustavo Hernan
Borralho, Nuno M.
Cappa, Eduardo Pablo
author_role author
author2 Gauchat, Maria Elena
Rodriguez, Gustavo Hernan
Borralho, Nuno M.
Cappa, Eduardo Pablo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Pinus elliottii
Parámetros Genéticos
Pruebas de Descendencia
Distribución Espacial
Fitomejoramiento
Genetic Parameters
Progeny Testing
Spatial Distribution
Plant Breeding
Argentina
topic Pinus elliottii
Parámetros Genéticos
Pruebas de Descendencia
Distribución Espacial
Fitomejoramiento
Genetic Parameters
Progeny Testing
Spatial Distribution
Plant Breeding
Argentina
dc.description.none.fl_txt_mv 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 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.
EEA Montecarlo
Fil: Belaber, Ector C. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Gauchat, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Rodriguez, Gustavo Hernan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Borralho, Nuno M. Cartaxo; Portugal. Universidade Técnica de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; Portugal
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description 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 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-07T12:45:48Z
2018-09-07T12:45:48Z
2018-09-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://link.springer.com/article/10.1007/s11056-018-9682-0
http://hdl.handle.net/20.500.12123/3307
0169-4286
1573-5095
https://doi.org/10.1007/s11056-018-9682-0
url https://link.springer.com/article/10.1007/s11056-018-9682-0
http://hdl.handle.net/20.500.12123/3307
https://doi.org/10.1007/s11056-018-9682-0
identifier_str_mv 0169-4286
1573-5095
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv New Forests : 1–23 (September 2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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