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Resumen
Walnut cultivation is expanding into regions where water availability for irrigation is lower than crop evapotranspiration. However, information regarding the responses and adaptations of walnut trees to water deficit remains scarce. In this study, we applied three irrigation levels, 100%, 75%, and 50% of crop evapotranspiration (referred to as T100, T75, and T50, respectively), to Chandler walnut trees over two consecutive seasons. During the second [ver mas...]
dc.contributor.authorCalvo, Franco Emmanuel
dc.contributor.authorSilvente, Sonia Teresa
dc.contributor.authorTrentacoste, Eduardo Rafael
dc.date.accessioned2024-08-30T14:56:09Z
dc.date.available2024-08-30T14:56:09Z
dc.date.issued2023-09
dc.identifier.issn2071-1050
dc.identifier.otherhttps://doi.org/10.3390/su151813472
dc.identifier.urihttp://hdl.handle.net/20.500.12123/19194
dc.identifier.urihttps://www.mdpi.com/2071-1050/15/18/13472
dc.description.abstractWalnut cultivation is expanding into regions where water availability for irrigation is lower than crop evapotranspiration. However, information regarding the responses and adaptations of walnut trees to water deficit remains scarce. In this study, we applied three irrigation levels, 100%, 75%, and 50% of crop evapotranspiration (referred to as T100, T75, and T50, respectively), to Chandler walnut trees over two consecutive seasons. During the second season, we evaluated leaf water-deficit biomarkers, including proline, malondialdehyde, soluble sugars, phenols, and flavonoids, using targeted spectrophotometry. Despite not finding significant differences in biomarker concentrations among the irrigation regimes, we observed variations between different collection times (sprouting, endocarp hardening, and maturity). Furthermore, we assessed the kernel metabolome using untargeted gas chromatography–mass spectrometry, profiling seventy-one metabolites across all samples. Notably, forty-one of these metabolites were identified as members of distinct groups, comprising carbohydrates (n = 11), fatty acids (n = 11), organic acids (n = 9), and amino acids (n = 5). Linear mixed models showed no significant differences between the irrigation regimes. However, in the T50 treatment, multivariate analysis (PCA) revealed a higher concentration of osmotic adjustment metabolites, which are potentially associated with protecting oil biosynthesis under high-temperature and water deficit conditions.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherMDPI
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceSustainability 15 (18) : 13472. (September 2023)
dc.subjectJuglans regia
dc.subjectNuez
dc.subjectWalnutseng
dc.subjectVariedades
dc.subjectVarietieseng
dc.subjectMetabolómica
dc.subjectMetabolomicseng
dc.subjectEstrés de Sequía
dc.subjectDrought Stresseng
dc.subject.otherVariedad Chandleres_AR
dc.subject.otherWater Stresseng
dc.subject.otherEstrés Hídricoes_AR
dc.titleLeaf Biochemical and Kernel Metabolite Profiles as Potential Biomarkers of Water Deficit in Walnut (Juglans regia L.) cv. Chandleres_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA La Consulta
dc.description.filFil: Calvo, Franco. Universidad Nacional de Chilecito. Instituto de Agricultura Sostenible en el Oasis (IASO); Argentinaes_AR
dc.description.filFil: Calvo, Franco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Silvente, Sonia. Universidad Nacional de Chilecito. Instituto de Ambiente de Montaña y Regiones Áridas (IAMRA); Argentinaes_AR
dc.description.filFil: Trentacoste, Eduardo Rafael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria La Consulta; Argentinaes_AR
dc.subtypecientifico


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