Modelling the Effect of Irrigation Deficit on Maize Growth with Logistic Regression

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dc.authoridHOCAOGLU, Onur/0000-0003-2152-4535
dc.contributor.authorHocaoglu, Onur
dc.contributor.authorGonulal, Erdal
dc.contributor.authorAkcura, Mevlut
dc.date.accessioned2025-01-27T21:05:34Z
dc.date.available2025-01-27T21:05:34Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThis research is conducted to model the limiting effects of irrigation deficit on maize growth which is a major challenge in dry areas. Field trials were conducted in completely randomized block design with three replications in Konya region (Turkey) during 2020 and 2021 growing seasons between May and August. Dry matter (DM) increase of maize was assessed on weekly intervals under four irrigation treatments, configured as %100, 75, 50 and 25 of the field capacity. Curve fitting with Logistic regression model demonstrated gradual decreases of maximum DM (from 496.331 to 254.119 g) and maximum growth rate (49,95 to 29,47 g/weeks) in average due to irrigation deficit when accurately modeling the DM accumulation with the varying R-2 values between 0.979 and 0.995. Results of logistic regression curves and IWUE suggested that even 25% restriction of irrigation water caused an average of %25.5 decrease on DM when 50% and more restriction could be associated with water stress. Additionally, irrigation water use efficiency (IWUE) was increased after the maximum acceleration point (MAP) which coincided with tasseling stage and inflection point (IP) where growth rate reaches to maximum, indicating that these periods were critical for maize in terms of preventing water deficiency.
dc.identifier.doi10.1080/00103624.2022.2142236
dc.identifier.endpage1305
dc.identifier.issn0010-3624
dc.identifier.issn1532-2416
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85141413547
dc.identifier.scopusqualityQ2
dc.identifier.startpage1293
dc.identifier.urihttps://doi.org/10.1080/00103624.2022.2142236
dc.identifier.urihttps://hdl.handle.net/20.500.12428/27714
dc.identifier.volume54
dc.identifier.wosWOS:000878917400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofCommunications in Soil Science and Plant Analysis
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectDry matter
dc.subjectirrigation deficit
dc.subjectLogistic regression
dc.subjectmaize
dc.subjectrapid growth period
dc.titleModelling the Effect of Irrigation Deficit on Maize Growth with Logistic Regression
dc.typeArticle

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