Influence of Leaf Water Content on the Prediction of Nutrient Stress in Strawberry Leaves using Chromameter

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dc.authoridŞekerli, Yunus Emre/0000-0002-7954-8268
dc.authoridKeskin, Muharrem/0000-0002-2649-6855;
dc.authorwosidŞekerli, Yunus Emre/HKV-2055-2023
dc.authorwosidKeskin, Muharrem/AAI-7355-2021
dc.authorwosidGunduz, Kazim/Y-2249-2019
dc.authorwosidKeskin, Muharrem/HGE-1953-2022
dc.contributor.authorKeskin, Muharrem
dc.contributor.authorSekerli, Yunus Emre
dc.contributor.authorGunduz, Kazim
dc.date.accessioned2024-08-04T20:45:21Z
dc.date.available2024-08-04T20:45:21Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description.abstractChemical soil and plant tissue analyses require considerable amount of labor, time, and cost. Non-destructive prediction of nutrient stress from chromameters may save time and labor. Previous studies did not assess multiple nutrient stresses together with the effect of leaf water content (WC). The aim of this work was to investigate the effect of leaf WC on the prediction of leaf nutrient stress from leaf color. A commercial strawberry field with a significant amount of leaf color variability was selected in Hatay province of Turkey. Forty eight leaf samples with varying colors were collected. A hand-held chromameter was used for leaf color measurements in two color systems as L*a*b* and L*C*h degrees. Leaf WC was determined using oven drying method. Leaf nutrient contents of N, P, K, Ca, Mg, Mn, Fe, and Cu were obtained using chemical analysis. Correlation and Partial Least Square Regression (PLSR) methods were utilized for data analysis. Leaf WC ranged from 58.3 to 65.7%. High correlation existed between color parameters and N, Ca, and WC (|r|>0.66). Also, correlation was high between leaf WC and leaf N content (r=0.75), suggesting that the leaves with high WC had also high N content. Using color data, it was possible to predict leaf N content (R-2=0.66), Ca content (R-2=0.70), and WC (R-2=0.65). Using WC as a variable together with the color parameters slightly improved the model performance to predict strawberry leaf nutrient concentrations. (C) 2018 Friends Science Publishersen_US
dc.description.sponsorshipTUBITAK (the Scientific and Technological Research Council of Turkey); Mustafa Kemal University's Scientific Research Project (BAP) Office [12123]en_US
dc.description.sponsorshipThe authors recognize financial support from TUBITAK (the Scientific and Technological Research Council of Turkey) and Mustafa Kemal University's Scientific Research Project (BAP) Office (Project no: 12123). Also they thank Dr. Yurtsever Soysal for his assistance.en_US
dc.identifier.doi10.17957/IJAB/15.0736
dc.identifier.endpage2109en_US
dc.identifier.issn1560-8530
dc.identifier.issn1814-9596
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85050735813en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2103en_US
dc.identifier.urihttps://doi.org/10.17957/IJAB/15.0736
dc.identifier.urihttps://hdl.handle.net/11616/98404
dc.identifier.volume20en_US
dc.identifier.wosWOS:000440740600026en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherFriends Science Publen_US
dc.relation.ispartofInternational Journal of Agriculture and Biologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStrawberryen_US
dc.subjectLeaf water contenten_US
dc.subjectNutrientsen_US
dc.subjectChromameteren_US
dc.subjectColor determinationen_US
dc.titleInfluence of Leaf Water Content on the Prediction of Nutrient Stress in Strawberry Leaves using Chromameteren_US
dc.typeArticleen_US

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