Diagnostic accuracy of milk components for pregnancy diagnosis in mid and late lactation cows

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dc.authoridOzkan, Huseyin/0000-0001-5753-8985
dc.authoridKaya, Ufuk/0000-0002-4805-0993
dc.contributor.authorKaya, Ufuk
dc.contributor.authorYazlik, Murat Onur
dc.contributor.authorOzkan, Huseyin
dc.contributor.authorCamdeviren, Baran
dc.contributor.authorGungor, Guven
dc.contributor.authorDalkiran, Sevda
dc.contributor.authorKeceli, Hasan Huseyin
dc.date.accessioned2024-09-18T20:02:46Z
dc.date.available2024-09-18T20:02:46Z
dc.date.issued2023
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThe aims of this study were to establish a cut-off point by evaluating the usability of the somatic cell count (SCC) and milk components (fat, fat-free dry matter (FFDM), protein, lactose, freezing point, electrical conductivity and pH) to observe the pregnancy status, and to determine the practical usage of these parameters as diagnostic biomarker of pregnancy status. In the present study, primiparous Holstein cows (n=133) were included in the mid and late lactation. Milk samples were collected in sterile tubes for SCC and milk components analysis. In each lactation period, SCC, milk yield and milk component parameters were analysed by Student's t test according to pregnancy status. Receiver operating characteristic curves were used to determine the predictive threshold using SCC and milk component parameters to discriminate between pregnant and non-pregnant cows. SCC levels were similar for all cows in the mid and late-lactation. In the mid lactation, FFDM, protein, lactose and electrical conductivity were higher and milk yield, fat, freezing point and pH were lower in pregnant cows (p<0.05). In the late lactation, FFDM, protein, lactose and electrical conductivity were significantly higher and milk yield, fat and pH were significantly lower in pregnant pH were the best predictors for pregnancy diagnosis in mid-lactating cows with the AUC values of 0.840, 0.768, 0.780, 0.772, 0.693, 0.792, and 0.901 respectively. Furthermore, fat, FFDM, protein, lactose, electrical conductivity, and pH could be useful diagnostic tools for pregnancy determination in late lactating cows with the AUC values of 0.869, 0.684, 0.661, 0.689, 0.756, and 0.841 respectively. In conclusion, the milk components could be used as rapid, easily accessible, and inexpensive markers for the evaluation of the diagnosis of pregnancy status in primiparous Holstein cows.en_US
dc.description.sponsorshipHATAY MUSTAFA KEMAL UENIVERSITESI [21.GAP.004]en_US
dc.description.sponsorshipThis work was supported by the Scientific Research Project Fund of HATAY MUSTAFA KEMAL UENIVERSITESI under the project number 21.GAP.004.en_US
dc.identifier.doi10.15567/mljekarstvo.2023.0305
dc.identifier.endpage195en_US
dc.identifier.issn0026-704X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85163654286en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage187en_US
dc.identifier.urihttps://doi.org/10.15567/mljekarstvo.2023.0305
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8011
dc.identifier.volume73en_US
dc.identifier.wosWOS:001021083800005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCroatian Dairy Unionen_US
dc.relation.ispartofMljekarstvoen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAUCen_US
dc.subjectHolstein cowsen_US
dc.subjectlactationen_US
dc.subjectmilk componentsen_US
dc.subjectROC analysisen_US
dc.titleDiagnostic accuracy of milk components for pregnancy diagnosis in mid and late lactation cowsen_US
dc.typeArticleen_US

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