Performance of alternative spatial models in empirical Douglas-fir and simulated datasets

Authors
Cappa, Eduardo Pablo; Muñoz, Facundo; Sánchez, Leopoldo
Publication Year
2019
Language
English
Format
article
Status
Published version
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.
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
Source
Annals of forest science 76 : 53 (June 2019)
Subject
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
Access level
Restricted access
License
Repository
INTA Digital (INTA)
Institution
Instituto Nacional de Tecnología Agropecuaria
OAI Identifier
oai:localhost:20.500.12123/6222