Modelling of Growth Curve Models According to Sex in Akkaraman Lambs with Different Methods: Logistik and Gompertz Modeling Example

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dc.contributor.authorKozakli, Ozge
dc.contributor.authorCeyhan, Ayhan
dc.contributor.authorZiya-Firat, Mehmet
dc.date.accessioned2024-11-07T13:31:20Z
dc.date.available2024-11-07T13:31:20Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this study, the live weight data of Akkaraman lambs reared in Nigde Omer Halisdemir University Ayhan Sahenk Agricultural Research Application and Research Center were analyzed. Among the growth curve models, Logistic and Gompertz growth models were estimated using Least Squares Estimation (LSE), Maximum Likelihood Estimation and Bayesian methods. LSE and Maximum Likelihood methods, which are from the frequency methods, were compared with other AIC, AICC and BIC values and the results suggested that the best model for both genders was LSE Gompertz model. For the Bayesian method, LSE estimation information used as a priori. The Gompertz model was selected for the two genders by comparing the models estimated with the Bayesian method according to their DIC values. At the end of the study, parameter point estimates of Gompertz Model for male Akkaraman lambs were beta(0) = 86.296, beta(1) = 2.778, beta(2) = 0.014; while parameter point values for female Akkaraman lambs were beta(0) = 54.784 beta(1) = 2.453, beta(2) = 0.014. In addition, the distributions of the model parameters with the Bayesian approach were estimated by the Markov Chain Monte Carlo (MCMC) method, and it was decided that the expected adult body weight of male Akkaraman lambs was higher than that of female Akkaraman lambs.
dc.identifier.doi10.18016/ksutarimdoga.vi.946895
dc.identifier.endpage926
dc.identifier.issn2619-9149
dc.identifier.issue4
dc.identifier.startpage916
dc.identifier.trdizinid1117515
dc.identifier.urihttps://doi.org/10.18016/ksutarimdoga.vi.946895
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1117515
dc.identifier.urihttps://hdl.handle.net/11480/14765
dc.identifier.volume25
dc.identifier.wosWOS:000822800300030
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherKahramanmaras Sutcu Imam Univ Rektorlugu
dc.relation.ispartofKsu Tarim Ve Doga Dergisi-Ksu Journal of Agriculture and Nature
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectAkkaraman sheep
dc.subjectBayesian Approach
dc.subjectGrowth Curve Modeling
dc.subjectLeast Squares Estimation
dc.subjectMaximum Likelihood Estimation
dc.titleModelling of Growth Curve Models According to Sex in Akkaraman Lambs with Different Methods: Logistik and Gompertz Modeling Example
dc.typeArticle

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