Datasets Horticulturae 2023. Predictive Model
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Guzmán Palomino, José Miguel; López Mora, Manuel Felipe; Quintero Castellanos, María Fernanda; Salas Sanjuan, María Del Carmen; González Murillo, Carlos Alberto; [et al.]Fecha
2023-12-19Resumen
Agriculture is the main driver of depletion resources worldwide, and its duty is to ensure food security within a rapidly increasing demographic and urbanization, so it is important to transi-tion to sustainable production systems. Vertical crops (VCs) can reduce the pressure on conven-tional agriculture because they save water and nutrients and increase crop yield. Therefore, this study aimed to validate a proposed predictive model (PM) to simulate water and nutrient uptake in vertical crops under greenhouse conditions. Based on the Penman-Monteith equation, PM es-timates transpiration, while nutrient uptake was estimated using the Carmassi-Sonneveld sub-model. PM was experimentally evaluated for vertically grown lettuce under Mediterranean greenhouse conditions, during spring 2023. The irrigation technique was a closed-loop fertiga-tion circuit. The experimental consisted of testing two densities (50 and 80 plants·m-2), where each unit of the experiment unit was divided into three he...
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