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Identification of the frequency of CSN1S2 gene alleles and the effects of these alleles and parity on milk yield and composition in Saanen goats

dc.contributor.authorDeniz, D.
dc.contributor.authorSena, A.
dc.contributor.authorHale, S.
dc.contributor.authorBuse, V.
dc.contributor.authorFaruk, B.
dc.contributor.buuauthorTurhan Dincel, D.
dc.contributor.buuauthorARDIÇLI, SENA
dc.contributor.buuauthorŞAMLI, HALE
dc.contributor.buuauthorVATANSEVER, BUSE
dc.contributor.buuauthorBALCI, ÖMER FARUK
dc.contributor.departmentVeteriner Fakültesi
dc.contributor.departmentGenetik Ana Bilim Dalı
dc.contributor.departmentSağlık Bilimleri Enstitüsü
dc.contributor.departmentBiyoloji Ana Bilim Dalı
dc.contributor.orcid0000-0002-8015-9032
dc.contributor.scopusid56607385000
dc.contributor.scopusid57979774800
dc.contributor.scopusid57980338900
dc.contributor.scopusid57980525300
dc.contributor.scopusid57980339000
dc.date.accessioned2025-08-06T22:48:24Z
dc.date.issued2021-01-01
dc.description.abstractThe expression of CSN1S2 gene is known to regulate the α-S2 casein levels in milk composition, moreover is estimated to affect the milk yield and composition in goat. However, the knowledge about the CSN1S2 gene on milk yield and composition is restricted in Saanen goats. Therefore, this study aimed to specify the effect of CSN1S2 polymorphisms on milk yield/composition parameters. The genotyping of Saanen goats (n=120) was performed by PCR-RFLP methods. The GLM procedure was pref-ered as statistical analysis to defined the effect of those variations on investigated traits. The result showed that the AA (26.67%), BB (33.33%) and AB (40.00%) for A-B variant; N* (94.17%), N*0 (5.83%) for D-0 variant; FF (7.50%), NF/NF (65.83%) and F/NF (26.67%) for F variant in Saanen goats. The effect of A-B allele of CSN1S2 gene (P<0.05) and parity (P<0.001) on milk composition yields were found significant in the current study. However, the effect of A-B allele on lactation milk yield was determined tended to be significant (P=0.090). Moreover, significant correlations between the milk composition parameters such as fat, protein, TS (total solid), SNF(solid not fat), casein, or lactose were observed (P<0.001). The novel outputs might be use-ful for developing goat breeding strategies or improving the dairy industry, especially for milk products.
dc.identifier.endpage96
dc.identifier.issn1124-4593
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85142515216
dc.identifier.startpage91
dc.identifier.urihttps://hdl.handle.net/11452/53450
dc.identifier.volume27
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherMassimo Morgante
dc.relation.journalLarge Animal Review
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSaanen
dc.subjectParity
dc.subjectMilk yield/composition
dc.subjectGoat
dc.subjectCSN1S2
dc.titleIdentification of the frequency of CSN1S2 gene alleles and the effects of these alleles and parity on milk yield and composition in Saanen goats
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentVeteriner Fakültesi/Genetik Ana Bilim Dalı
local.contributor.departmentSağlık Bilimleri Enstitüsü/Biyoloji Ana Bilim Dalı
local.contributor.departmentScopus
local.indexed.atScopus
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relation.isAuthorOfPublication156a62b1-b332-4a3e-b90a-3ef4b96d4498
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relation.isAuthorOfPublication.latestForDiscoveryb3ea478d-b033-4a23-84eb-d427d69d594c

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