Analysis of dry matter accumulation using some mathematical growth models in silage and seed corns [Silajlık ve danelik mısırlarda kuru madde birikiminin bazı matematiksel büyüme modelleri ile analizi]

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dc.contributor.authorKaradavut U.
dc.contributor.authorGenç A.
dc.contributor.authorTozluca A.
dc.contributor.authorPalta Ç.
dc.date.accessioned2020-03-26T18:05:37Z
dc.date.available2020-03-26T18:05:37Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study was carried out at Bahri Da?daş International Agricultural Research Institute's experimental areas. C 955 and DK 585 were used as material. Richards, Gaussian and Logistic growth models were used for describing plants growth. Coefficient of determination (R2), mean squared error (MSE), model efficiency (ME), mean rational error (MRE), mean squared variation (MSV) and Bias were used as comparison criteria. As results, Richards model described dry matter accumulation of silage and seeds corns better than Gaussian and Logistic growth models. Logistic growth equation described dry matter accumulation of silage and seeds corns worse than others growth. © Ankara Üniversitesi Ziraat Fakültesi.en_US
dc.identifier.endpage96en_US
dc.identifier.issn1300-7580en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage89en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25482
dc.identifier.volume16en_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherAnkara Universityen_US
dc.relation.ispartofTarim Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectComparison criteriaen_US
dc.subjectCornen_US
dc.subjectPlant growth modelsen_US
dc.titleAnalysis of dry matter accumulation using some mathematical growth models in silage and seed corns [Silajlık ve danelik mısırlarda kuru madde birikiminin bazı matematiksel büyüme modelleri ile analizi]en_US
dc.typeArticleen_US

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