Performance of alternative spatial models in empirical Douglas-fir and simulated datasets
Based on an empirical dataset originating from the French Douglas-fir breeding program, we showed that the bidimensional autoregressive and the two-dimensional P-spline regression spatial models clearly outperformed the classical block model, in terms of both goodness of fit and predicting ability....
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2019
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| Materias: | |
| Acceso en línea: | https://link.springer.com/article/10.1007%2Fs13595-019-0836-9 http://hdl.handle.net/20.500.12123/6222 https://doi.org/10.1007/s13595-019-0836-9 |
| _version_ | 1855483771011203072 |
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| author | Cappa, Eduardo Pablo Muñoz, Facundo Sánchez, Leopoldo |
| author_browse | Cappa, Eduardo Pablo Muñoz, Facundo Sánchez, Leopoldo |
| author_facet | Cappa, Eduardo Pablo Muñoz, Facundo Sánchez, Leopoldo |
| author_sort | Cappa, Eduardo Pablo |
| collection | INTA Digital |
| description | Based on an empirical dataset originating from the French Douglas-fir breeding program, we showed that the bidimensional autoregressive and the two-dimensional P-spline regression spatial models clearly outperformed the classical block model, in terms of both goodness of fit and predicting ability. In contrast, the differences between both spatial models were relatively small. In general, results from simulated data were well in agreement with those from empirical data. |
| format | Artículo |
| id | INTA6222 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA62222019-10-29T10:59:36Z Performance of alternative spatial models in empirical Douglas-fir and simulated datasets Cappa, Eduardo Pablo Muñoz, Facundo Sánchez, Leopoldo Forest Genetic Resources Mathematical Models Recursos Genéticos Forestales Pseudotsuga menziesii Modelos Matemáticos Global and Local Spatial Trends Autoregressive Residual Two-dimensional P-splines Douglas Fir Tendencias Espaciales Globales y Locales Residual Autorregresivo Splines P bidimensionales Pino Oregón Abeto de Douglas Based on an empirical dataset originating from the French Douglas-fir breeding program, we showed that the bidimensional autoregressive and the two-dimensional P-spline regression spatial models clearly outperformed the classical block model, in terms of both goodness of fit and predicting ability. In contrast, the differences between both spatial models were relatively small. In general, results from simulated data were well in agreement with those from empirical data. Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Muñoz, Facundo. Instituto Nacional de Investigación Agronómica. Unité Amélioration, Génétique et Physiologie Forestières; Francia Fil: Sánchez, Leopoldo. Instituto Nacional de Investigación Agronómica. Unité Amélioration, Génétique et Physiologie Forestières; Francia 2019-10-29T10:47:22Z 2019-10-29T10:47:22Z 2019-05-13 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://link.springer.com/article/10.1007%2Fs13595-019-0836-9 http://hdl.handle.net/20.500.12123/6222 1286-4560 https://doi.org/10.1007/s13595-019-0836-9 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Annals of forest science 76 : 53 (June 2019) |
| spellingShingle | Forest Genetic Resources Mathematical Models Recursos Genéticos Forestales Pseudotsuga menziesii Modelos Matemáticos Global and Local Spatial Trends Autoregressive Residual Two-dimensional P-splines Douglas Fir Tendencias Espaciales Globales y Locales Residual Autorregresivo Splines P bidimensionales Pino Oregón Abeto de Douglas Cappa, Eduardo Pablo Muñoz, Facundo Sánchez, Leopoldo Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title | Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title_full | Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title_fullStr | Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title_full_unstemmed | Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title_short | Performance of alternative spatial models in empirical Douglas-fir and simulated datasets |
| title_sort | performance of alternative spatial models in empirical douglas fir and simulated datasets |
| topic | Forest Genetic Resources Mathematical Models Recursos Genéticos Forestales Pseudotsuga menziesii Modelos Matemáticos Global and Local Spatial Trends Autoregressive Residual Two-dimensional P-splines Douglas Fir Tendencias Espaciales Globales y Locales Residual Autorregresivo Splines P bidimensionales Pino Oregón Abeto de Douglas |
| url | https://link.springer.com/article/10.1007%2Fs13595-019-0836-9 http://hdl.handle.net/20.500.12123/6222 https://doi.org/10.1007/s13595-019-0836-9 |
| work_keys_str_mv | AT cappaeduardopablo performanceofalternativespatialmodelsinempiricaldouglasfirandsimulateddatasets AT munozfacundo performanceofalternativespatialmodelsinempiricaldouglasfirandsimulateddatasets AT sanchezleopoldo performanceofalternativespatialmodelsinempiricaldouglasfirandsimulateddatasets |