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: | , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2019
|
| 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 |
Ejemplares similares: Performance of alternative spatial models in empirical Douglas-fir and simulated datasets
- Wood density proxies of adaptive traits linked with resistance to drought in Douglas fir (Pseudotsuga menziesii (Mirb.) Franco)
- Supplementary Material Douglas-fir data [Conjunto de datos]
- Dynamics of cavitation in a Douglas-fir tree-ring: transition-wood, the lord of the ring?
- Reponse du Douglas a des evenements climatiques extremes
- Analyse rétrospective de l’adaptation à la sécheresse chez le douglas
- Genetic variation of xylem hydraulic properties shows that wood density is involved in adaptation to drought in Douglas-fir (Pseudotsuga menziesii (Mirb.))