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dc.contributor.authorBoyacı, Selma
dc.contributor.authorKüçükönder, Hande
dc.date.accessioned2023-08-03T12:58:50Z
dc.date.available2023-08-03T12:58:50Z
dc.date.issued2022en_US
dc.identifier.citationBoyacı, S., & Küçükönder, H. (2022). A research on Non-Destructive Leaf Area Estimation Modeling for some Apple Cultivars. Erwerbs-Obstbau, 64(1), 1-7.en_US
dc.identifier.issn0014-0309
dc.identifier.issn1439-0302
dc.identifier.urihttps://doi.org/10.1007/s10341-021-00619-w
dc.identifier.urihttps://hdl.handle.net/20.500.12513/5270
dc.description.abstractAccurate and non-destructive methods to determine the plant leaf area are important measurements used in physiological and agronomic studies. This study was aimed to develop the best estimation model in 2017 to determine leaf area in some apple varieties of 'Summerred', 'Mondial Gala', 'Golden Delicious' and 'Braeburn' by using leaf length (L), width (W) and combination of the two parameters. Sixteen different models composed of linear and power were obtained. High coefficient of determination denoted R-2 and low mean square error (MSE) values were used to determine the best models to estimate. Accordingly, combinations of L x W parameters for 'Summer Red' and 'Mondial Gala' varieties and L x W-2 for 'Golden Delicious' and 'Braeburn' varieties were determined as the efficient parameters in estimation of plant leaf area. The results revealed that the plant leaf area can be estimated in an inexpensive, fast and non-destructive manner by mathematical relationships obtained with high R-2 ('Summer Red': 97.9%; 'Mondial Gala': 99.1%; 'Golden Delicious': 98.6%; 'Braeburn': 95.1%) and low MSE ('Summer Red': 8.48; 'Mondial Gala': 1.594; 'Golden Delicious': 0.005; 'Braeburn': 0.013) values using leaf dimensions of each variety rather than expensive measurement instruments.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/s10341-021-00619-wen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLeaf area indexen_US
dc.subjectAppleen_US
dc.subjectRegressionen_US
dc.subjectModelen_US
dc.subjectLeaf dimensionsen_US
dc.titleA research on Non-Destructive Leaf Area Estimation Modeling for some Apple Cultivarsen_US
dc.typearticleen_US
dc.relation.journalErwerbs-Obstbauen_US
dc.contributor.departmentZiraat Fakültesien_US
dc.contributor.authorIDSelma Boyacı / 0000-0002-3349-839Xen_US
dc.identifier.volume64en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.endpage7en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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