Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
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 fr...
| Autores principales: | , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Acceso en línea: | 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 |
| _version_ | 1855035121352048640 |
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| author | Belaber, Ector C. Gauchat, Maria Elena Rodriguez, Gustavo Hernan Borralho, Nuno M. Cappa, Eduardo Pablo |
| author_browse | Belaber, Ector C. Borralho, Nuno M. Cappa, Eduardo Pablo Gauchat, Maria Elena Rodriguez, Gustavo Hernan |
| author_facet | Belaber, Ector C. Gauchat, Maria Elena Rodriguez, Gustavo Hernan Borralho, Nuno M. Cappa, Eduardo Pablo |
| author_sort | Belaber, Ector C. |
| collection | INTA Digital |
| 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. |
| format | info:ar-repo/semantics/artículo |
| id | INTA3307 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA33072018-09-07T12:47:30Z Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina Belaber, Ector C. Gauchat, Maria Elena Rodriguez, Gustavo Hernan Borralho, Nuno M. Cappa, Eduardo Pablo Pinus elliottii Parámetros Genéticos Pruebas de Descendencia Distribución Espacial Fitomejoramiento Genetic Parameters Progeny Testing Spatial Distribution Plant Breeding Argentina 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 2018-09-07T12:45:48Z 2018-09-07T12:45:48Z 2018-09-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf New Forests : 1–23 (September 2018) |
| spellingShingle | Pinus elliottii Parámetros Genéticos Pruebas de Descendencia Distribución Espacial Fitomejoramiento Genetic Parameters Progeny Testing Spatial Distribution Plant Breeding Argentina Belaber, Ector C. Gauchat, Maria Elena Rodriguez, Gustavo Hernan Borralho, Nuno M. Cappa, Eduardo Pablo 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 |
| 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_short | 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 |
| topic | Pinus elliottii Parámetros Genéticos Pruebas de Descendencia Distribución Espacial Fitomejoramiento Genetic Parameters Progeny Testing Spatial Distribution Plant Breeding Argentina |
| 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 |
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