Moderate water stress impact on yield components of green-house tomatoes in relation to plant water status
2024
Martín Palomo, María José | Alomari-Mheidat, Munia | Corell González, Mireia | Castro Valdecantos, Pedro | Medina-Zurita, Noemí | L de Sosa, Laura | Moriana Elvira, Alfonso | Agronomía | AGR188: Agronomía | AGR278: Smart Biosystems Laboratory | Agencia Estatal de Investigación. España
The scarcity of water resources affects tomato production. Deficit irrigation may optimize water management with only a low reduction in yield. Deficit irrigation scheduling based on applied water presented no clear conclusions. Water stress management based on plant water status, such as water potential, could improve the scheduling. The aim of this work was to evaluate the physiological and yield responses of different tomato cultivars to deficit irrigation. Three experiments were carried out in 2020 and 2022 at the University of Seville (Spain). “Cherry” and “chocolate Marmande” cultivars with an indeterminate growth pattern were grown in a greenhouse. Treatments were: Control (full irrigated) and Deficit. Deficit plants were irrigated based on water potential measurements. Moderate water stress did not significantly reduce the yield, although it affected other processes. Fruit size and total soluble solids were the most sensitive parameters to water stress. The latter increased only when persistent water stress was applied. However, truss development and fruit number were not affected by the level of water stress imposed. Such results suggest that moderate water stress, even in sensitive phenological stages such as flowering, would not reduce yield. Deficit irrigation scheduling based on plant water status will allow accurate management of water stress.
Afficher plus [+] Moins [-]Ministerio de Ciencia e Innovación (MCIN/ AEI /10.13039/501100011033/) and the Fondo Europeo de Desarrol-lo (FEDER) PID2021-1227722OB-I00
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Universidad de Sevilla
Découvrez la collection de ce fournisseur de données dans AGRIS