A Data Mining Application in Animal Breeding: Determination of Some Factors in Japanese Quail Eggs Affecting Fertility

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dc.authorscopusid56382942700
dc.authorscopusid26650216100
dc.authorscopusid36133557400
dc.authorwosidNarinç, Doğan/AAG-5912-2021
dc.contributor.authorKüçükönder, Hande
dc.contributor.authorÜçkardeş, Fatih
dc.contributor.authorNarinç, Doğan
dc.date.accessioned2022-05-11T14:42:30Z
dc.date.available2022-05-11T14:42:30Z
dc.date.issued2014
dc.departmentFakülteler, Veteriner Fakültesi, Zootekni ve Hayvan Besleme Bölümü, Genetik Ana Bilim Dalı
dc.description.abstractThe purpose of this study, classification with data mining methods according to the factors of season, selection, and frequency of settlement which have an effect on fertility in Japanese quail eggs, and is to determine the effect of these factors. In this study, 180 female quails in three different seasons (summer, winter and autumn) which were obtained from a selection line and a control line were used. 1141 hatching eggs collected from quails which were hosted on two different types of cages (160-240 cm(2)/quail) during a week at 12 weeks of age have formed the material of study. Classification algorithms used in the study are YSA, RBF Network, Naive Bayes, KStar, and Ridor algorythms, respectively. In the comparison of the models formed according to these algorithms, Kappa statistic, Mean Absolute Deviation (MAD), Mean Square Root Error (MSE), Relative Absolute Error (RAE), Relative Square Root Error (RSE) performance criteria were used. As a result of analysis, it has been seen in the comparison made that the model formed according to Ridor algorithm that has MAD: 0.002, MSE: 0.05, RAE: 1.07%, RSE: 14.50% and Kappa: 0.98 performance criteria values, respectively, has made the classification with minimum error. With this study conducted, it was determined that 85% of the quail eggs fertile and 15% of them has low reproduction capacity with the accurate classification success of 99.73%.
dc.identifier.doi10.9775/kvfd.2014.11353
dc.identifier.endpage908
dc.identifier.issn1300-6045
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-84907913457
dc.identifier.scopusqualityQ3
dc.identifier.startpage903
dc.identifier.urihttps://doi.org/10.9775/kvfd.2014.11353
dc.identifier.urihttps://hdl.handle.net/20.500.11776/9397
dc.identifier.volume20
dc.identifier.wosWOS:000344690200013
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorNarinç, Doğan
dc.language.isotr
dc.publisherKafkas Univ, Veteriner Fakultesi Dergisi
dc.relation.ispartofKafkas Universitesi Veteriner Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectClassification
dc.subjectData mining
dc.subjectReproduction
dc.subjectQuail
dc.subjectWEKA
dc.subjectHatchability
dc.subjectSelection
dc.subjectWeight
dc.titleA Data Mining Application in Animal Breeding: Determination of Some Factors in Japanese Quail Eggs Affecting Fertility
dc.title.alternativeHayvancılık alanında bir veri madenciliği uygulaması: Japon bıldırcını yumurtalarında döllülüğe etki eden bazı faktörlerin belirlenmesi]
dc.typeArticle

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