Your browser doesn't support javascript.
loading
Assessment of satellite-based water requirements for a drip-irrigated apple orchard in Mediterranean agroclimatic conditions.
de la Fuente-Saiz, Daniel; Ortega-Farias, Samuel; Carrasco-Benavides, Marcos; Ortega-Salazar, Samuel; Tian, Fei; Wang, Sufen; Liu, Yi.
Afiliação
  • de la Fuente-Saiz D; Research and Extension Center for Irrigation and Agroclimatology (CITRA) and Research Program on Adaptation of Agriculture to Climate Change (PIEI A2C2), Universidad de Talca, Campus Lircay, Chile.
  • Ortega-Farias S; Research and Extension Center for Irrigation and Agroclimatology (CITRA) and Research Program on Adaptation of Agriculture to Climate Change (PIEI A2C2), Universidad de Talca, Campus Lircay, Chile.
  • Carrasco-Benavides M; Department of Agricultural Sciences, Universidad Católica del Maule, Curicó, Chile.
  • Ortega-Salazar S; Department of Civil and Environmental Engineering and School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Tian F; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China.
  • Wang S; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733000, China.
  • Liu Y; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China.
Heliyon ; 10(9): e29688, 2024 May 15.
Article em En | MEDLINE | ID: mdl-38707301
ABSTRACT
Accurate assessment of evapotranspiration (ETa) and crop coefficient (Kc) is crucial for optimizing irrigation practices in water-scarce regions. While satellite-based surface energy balance models offer a promising solution, their application to sparse canopies like apple orchards requires specific validation. This study investigated the spatial and temporal dynamics of ETa and Kc in a drip-irrigated 'Pink Lady' apple orchard under Mediterranean conditions over three growing seasons (2012/13, 2013/14, 2014/15). The METRIC model, incorporating calibrated sub-models for leaf area index (LAI), surface roughness (Zom), and soil heat flux (G), was employed to estimate ETa and Kc. These estimates were validated against field-scale Eddy Covariance data. Results indicated that METRIC overpredicted Kc and ETa with errors less than 10 %. These findings highlight the potential of the calibrated METRIC model as a valuable decision-making tool for irrigation management in apple orchards.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article