NEW MULTIVARIATE EMPIRICAL PREDICTION EQUATION FOR RELATIVE FEED VALUE OF NATIVE GRASSES

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dc.authoridCan, Ersin/0000-0003-3530-6010
dc.authoridKAYA, SERAFEDDIN/0000-0001-9744-8714
dc.authoridATIS, IBRAHIM/0000-0002-0510-9625
dc.contributor.authorCeliktas, N.
dc.contributor.authorCan, E.
dc.contributor.authorKaya, S.
dc.contributor.authorAtis, I
dc.contributor.authorHatipoglu, R.
dc.contributor.authorErtekin, I
dc.date.accessioned2024-09-18T20:25:10Z
dc.date.available2024-09-18T20:25:10Z
dc.date.issued2020
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractRelative feed value and structural mineral differentiation of native grasses and their relationships at different plant growth stages were studied to create a more informative multivariate model to predict relative feed value. The hierarchical clustering grouped the species and their growth stages under six distinct categories with their average relative feed values of 122.6, 108.6, 99.6, 90.3, 80.9 and 71.5. The principal component analyses for the relative feed value and the mineral composition of native grasses was efficient to classify the forages with the total explained variation of 63.69% with the first two principal components. The most important predictors for relative feed value were determined as nitrogen and potassium contents of the native grasses according to beta coefficients from the partial least square regression analyses. Three partial least square regression based new empirical equations for predicting the relative feed value were constructed by using the forage nitrogen content. The coefficients of determination (R-2) and the root mean square error of prediction (RMSEP) for the equations were 0.92, 0.35, 0.81 and 2.17, 11.29, 5.88, respectively. The Fisher's F test manifested that the actual and the predicted relative feed values were not different (P>0.05) for all three equations.en_US
dc.identifier.doi10.15666/aeer/1804_50495063
dc.identifier.endpage5063en_US
dc.identifier.issn1589-1623
dc.identifier.issn1785-0037
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85093898176en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage5049en_US
dc.identifier.urihttps://doi.org/10.15666/aeer/1804_50495063
dc.identifier.urihttps://hdl.handle.net/20.500.12483/10133
dc.identifier.volume18en_US
dc.identifier.wosWOS:000572421000008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAloki Applied Ecological Research And Forensic Inst Ltden_US
dc.relation.ispartofApplied Ecology and Environmental Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectforage quality indexen_US
dc.subjectmineral elementsen_US
dc.subjectpastureen_US
dc.subjectplant growth stagesen_US
dc.subjectPLSRen_US
dc.titleNEW MULTIVARIATE EMPIRICAL PREDICTION EQUATION FOR RELATIVE FEED VALUE OF NATIVE GRASSESen_US
dc.typeArticleen_US

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