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Instrumental methods as strategic supporting tools for systematic biochemical analysis of serra da estrela sheep milk.

2022Journal article Restricted access
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dc.contributor.authorOliveira, Jorge
dc.contributor.authorLemos, Carlota
dc.contributor.authorBrito, Manuel
dc.contributor.authorPinto, António
dc.contributor.authorCoutinho, Rui Coutinho
dc.contributor.authorBarracosa, Paulo
dc.contributor.authorCoelho, Catarina
dc.contributor.authorDinis, Rui
dc.date.accessioned2023-01-13T15:21:23Z
dc.date.available2023-01-13T15:21:23Z
dc.date.issued2022
dc.description.abstractSerra da Estrela sheep crude milk is mandatory for the PDO Serra da Estrela (SE) cheese production. The production system implies the need for systematic knowledge of the values of useful matter (fat and protein) to produce cheese. The knowledge of somatic cell count (SCC) allows to predict the mammary health status of ewes as well as make decisions on the use of crude milk for human consumption, through its transformation into cheese. The need for simple, fast and reliable methodologies for the determination of this parameters is fundamental for the sustainability of this productive sector through milk recording procedure for animal genetic evaluation, as well for the previous analysis of the bulk milk, before the process of elaboration of the PDO SE cheese. Two sets of milk samples were collected: 50 individual samples of Serra da Estrela ewes’ milk from 2 farms for analysis of SCC and 53 samples of Serra da Estrela ewes’ milk (16 individual samples and 37 samples of bulk milk) for analysis of fat and protein contents (Fat% and Prot%). Duplicates of samples were simultaneously analyzed by reference and instrumental methodologies (DCC De Laval optical reader and FT-NIR MasterTM from Büchi) as reliable alternatives for parameters evaluation for the SE sheep milk. The results showed a significant agreement between the pairs of values (type of methodologies) for all parameters, with correlations between 0.925 (Prot%) and 0.960 (SCC) (p<0.001). The linear regressions for the pairs of data of the three parameters studied presented a strong adjustment (with the coefficients of determination between 0.856 and 0.921). The findings showed that both instrumental methodologies applied can be used as alternative to count somatic cells and evaluate fat and protein contents of SE sheep milk and will be useful as strategic measuring devices for milk farmers and cheesemakers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, J, Lemos, C, Brito, M, Pinto, A, Santos, R, Silva, P, Coelho, C, Dinis, R (2022). Instrumental methods as strategic supporting tools for systematic biochemical analysis of serra da estrela sheep milk. Journal of Agricultural Sciences Research, 16 (2): 12pp. DOI: 10.22533/at.ed.9732162230117pt_PT
dc.identifier.doiDOI: 10.22533/at.ed.9732162230117pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/7549
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectInstrumental analysispt_PT
dc.subjectsomatic cell countpt_PT
dc.subjectfat contentpt_PT
dc.subjectprotein contentpt_PT
dc.subjectSerra da Estrela sheep milkpt_PT
dc.subjectPortugal.pt_PT
dc.titleInstrumental methods as strategic supporting tools for systematic biochemical analysis of serra da estrela sheep milk.pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue16pt_PT
oaire.citation.startPage12pt_PT
oaire.citation.titleJournal of Agricultural Sciences Researchpt_PT
oaire.citation.volume2pt_PT
person.familyNameOliveira
person.familyNameLemos
person.familyNameBrito
person.familyNamePinto
person.familyNameCoutinho
person.familyNameBarracosa
person.familyNameCoelho
person.familyNameDinis
person.givenNameJorge
person.givenNameCarlota
person.givenNameManuel
person.givenNameAntónio
person.givenNameRui Coutinho
person.givenNamePaulo
person.givenNameCatarina
person.givenNameRui
person.identifier.ciencia-idDE16-771B-C4AA
person.identifier.ciencia-id151A-2030-0853
person.identifier.ciencia-idBC1A-5458-C90B
person.identifier.ciencia-id5013-B6EA-4578
person.identifier.ciencia-id0E10-D744-A71E
person.identifier.orcid0000-0002-9391-5191
person.identifier.orcid0000-0002-0636-0635
person.identifier.orcid0000-0002-2773-3525
person.identifier.orcid0000-0003-0367-4740
person.identifier.orcid0000-0002-8740-0394
person.identifier.orcid0000-0001-9031-9645
person.identifier.orcid0000-0002-5272-7303
person.identifier.orcid0000-0002-4595-8779
person.identifier.ridC-6443-2014
person.identifier.scopus-author-id56079061700
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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