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Assessment of Trunk Diameter Fluctuation-Derived Indices for Detecting Water Stress in Sweet Cherry Trees
| dc.contributor.author | Blaya-Ros, Pedro J. | |
| dc.contributor.author | Blanco, Victor | |
| dc.contributor.author | Torres-Sánchez, Roque | |
| dc.contributor.author | Soto-Valles, Fulgencio | |
| dc.contributor.author | Espósito, Martín E. | |
| dc.contributor.author | Domingo, Rafael | |
| dc.contributor.other | Producció Vegetal | ca |
| dc.date.accessioned | 2025-01-30T18:14:04Z | |
| dc.date.available | 2025-01-30T18:14:04Z | |
| dc.date.issued | 2024-08-01 | |
| dc.identifier.citation | Blaya-Ros, Pedro J., Víctor Blanco, Roque Torres-Sánchez, Fulgencio Soto-Valles, Martín E. Espósito, and Rafael Domingo. 2024. “Assessment of Trunk Diameter Fluctuation-Derived Indices for Detecting Water Stress in Sweet Cherry Trees.” Water 16 (15): 2186. https://doi.org/10.3390/w16152186. | ca |
| dc.identifier.issn | 2073-4441 | ca |
| dc.identifier.uri | http://hdl.handle.net/20.500.12327/3572 | |
| dc.description.abstract | The continuous and reliable assessment of crop water status through water indicators enables the sustainable management of water resources, especially in arid or semi-arid climate scenarios exacerbated by climate change. Therefore, the main objective of this study is to determine and compare the sensitivity of indices derived from trunk diameter fluctuations for the accurate and automatic detection of changes in the water status of cherry trees. The water stress indicators examined are maximum daily trunk shrinkage (MDS), trunk growth rate (TGR), early daily trunk shrinkage (EDS), and late daily trunk shrinkage (LDS). During two growing seasons, ‘Lapins’ sweet cherry trees were subjected to different water stress levels: (i) a control treatment irrigated at 115% of crop evapotranspiration demand to ensure non-limiting water conditions, and (ii) a deficit irrigation treatment, with two irrigation withholding cycles. Vegetative growth was affected by water stress. Trunk daily growth rate and late daily trunk shrinkage exhibited a high variability and did not clearly show differences in plant water status. Both EDS and MDS showed a third-degree polynomial relationship with Ψstem. MDS had a lineal relationship with Ψstem of up to −1.4 MPa; however, further decreases in Ψstem did not necessarily lead to increased MDS. In contrast, EDS became non-linear at −1.8 MPa, making it a more useful plant water indicator than MDS for ‘Lapins’ sweet cherry trees when detecting severe water stress conditions. The frequencies of both MDS and EDS decreased from 85% to 35% when water stress increased. Therefore, the information provided by MDS and EDS frequencies, along with their daily values, could be useful as irrigation management tools for sweet cherry trees. | ca |
| dc.description.sponsorship | This research was funded by the Agencia Estatal de Investigación (AEI), project numbers AGL2016-77282-C33-R and PID2019-106226-C22 AEI/10.13039/501100011033. This work is also a result of the AGROALNEXT program and was supported by MCIN with funding from the European Union NextGenerationEU (PRTR-C17.I1) and by Fundación Séneca with funding from Comunidad Autónoma Región de Murcia (CARM). | ca |
| dc.format.extent | 18 | ca |
| dc.language.iso | eng | ca |
| dc.publisher | MDPI | ca |
| dc.relation.ispartof | Water | ca |
| dc.rights | Attribution 4.0 International | ca |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Assessment of Trunk Diameter Fluctuation-Derived Indices for Detecting Water Stress in Sweet Cherry Trees | ca |
| dc.type | info:eu-repo/semantics/article | ca |
| dc.description.version | info:eu-repo/semantics/publishedVersion | ca |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | ca |
| dc.relation.projectID | MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2016-77282-C3-3-R/ES/Gestión automatizada del riego de precisión en frutales. Diseño de sensores y estudios de sensibilidad de indicadores de estrés hídrico/ | ca |
| dc.relation.projectID | MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I /PID2019-106226RB-C22/ES/Diseño y evaluación de sensores y metodologías para la obtención de indicadores de estrés hídrico de la planta y la gestión automática del riego deficitario/ | ca |
| dc.subject.udc | 633 | ca |
| dc.identifier.doi | https://doi.org/10.3390/w16152186 | ca |
| dc.contributor.group | Ús Eficient de l'Aigua en Agricultura | ca |
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