Fecha/hora: 12/06/2024 04:38:16

Biblioteca(s): | INIA Treinta y Tres.
Fecha corriente: | 04/08/2020
Fecha de la última actualización: | 04/08/2020
Autoria: | GONZÁLEZ BARRIOS, P.; BORGES, A.; TERRA, J.A.; PÉREZ BIDEGAIN, M.; GUTIÉRREZ, L.
Afiliación: | PABLO GONZÁLEZ BARRIOS, Facultad de Agronomía, UdelaR, UY.; ALEJANDRO BORGES, Facultad de Agronomía, UdelaR, UY.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO PÉREZ BIDEGAIN, Facultad de Agronomía, UdelaR, UY.; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin, Madison, USA.
Título: | Spatio-temporal modeling and competition dynamics in forest tillage experiments on early growth of Eucalyptus grandis L.
Año de publicación: | 2020
Fuente/Imprenta: | Forest Science, 28 March 2020, Volume 20, Pages 1-11. Doi: https://doi.org/10.1093/forsci/fxaa007
DOI: | 10.1093/forsci/fxaa007
Idioma: | Inglés
Notas: | Article history: Received: 30 July 2019// Accepted: 30 January 2020// Published: 28 March 2020.
Contenido: | Forest tillage experiments regularly use long-term evaluations of large plots creating temporal and/or spatial correlations among observations. Not modeling these correlations could compromise treatment comparisons. The aim of this study was to evaluate the effect of modeling spatio-temporal (ST) variability in forest tillage experiments. We used different strategies that incorporate spatial and/or temporal correlations in the evaluation of tillage intensity effect in initial Eucalyptus growth as well as evaluate the effect of intraplot mortality and competition dynamics. Three tillage intensities in two contrasting soil conditions were compared for tree height and wood volume. Additionally, we compared the use of three individual growth curves for plant height to evaluate the time needed to reach 2 m in height (T2m). We modeled the spatial correlation of T2m using mixed models. In both sites, ST models were superior for plant height and wood volume per hectare, whereas for individual-tree wood volume, temporal models were superior. Pit planting always had a lower performance than disk harrowing and subsoiler, which behaved similarly. The competition dynamics within the plot because of tree mortality was affected by treatments and site. Modeling ST variability is key to improving treatment comparisons in forest experiments.
Palabras-Clave: | GROWTH CURVES; SITE PREPARATION; SPATIO-TEMPORAL VARIABILITY; TILLAGE INTENSITY.
Categoría del tema: | U10 Métodos matemáticos y estadísticos
Registro original: | INIA Treinta y Tres (TT)
Ejemplares: | TT - (103121-1) - PXI - AP - DD - PP/FOREST SCIENCE/2020 -  -  - DIS