Browsing by Author "Pinochet Orellana, Alejandro Antonio"

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    Evaluación del uso de agua de genotipos de eucalyptus mediante estimaciones del índice de área foliar a partir de imágenes multiespectrales.
    (Universidad de Concepción, 2024) Pinochet Orellana, Alejandro Antonio; Rubilar Pons, Rafael Alejandro; Yépez Figueroa, Santiago Paul
    The present study aimed to evaluate the water use (WU) of 16 selected genotypes of Eucalyptus globulus, E. nitens, E. badjensis, E. smithii, E. nitens × globulus and hybrids of E. camaldulensis × globulus established under contrasting conditions of water availability (irrigated vs. rainfed), by estimating the leaf area index (LAI) from high resolution (0.005 m, DJI Matrice 210 RTK V2 drone) and lower resolution (10 m, Sentinel 2) multiespectral images. The ground leaf area index (LAIG) was correlated with four vegetation indices (NDVI, SR, SAVI and GCI) obtained from both sensors, in order to select the best remote sensing LAI estimator (LAIRS). The models were evaluated based on R², Syx and residual analisys statistics; the model with the highest predictive power achieved an R² of 0.23 and p-value of 2.46E-12. Given the low overall predictive power, the LAIG was used to estimate total evapotranspiration (ET) and water consumption for each genotype. The multispectral images coupled to the drone showed greater predictive accuracy than those of Sentinel-2, with the SAVI being the best predictor in irrigation conditions and the GCI in rainfed. Furthermore, ET varied according to genotypes and water treatment: Eucalyptus smithii and E. badjensis showed a high transpiration capacity, being suitable for areas with variable water availability, while E. nitens presented lower ET, making it ideal for minimizing water use. These findings could help optimize genotype selection based on water availability, promoting a more efficient and sustainable use of water resources in forest plantations.
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