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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/59795
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dc.creatorDyhogo Henrique Veloso Lealpt_BR
dc.creatorAlcinei Místico Azevedopt_BR
dc.creatorAnna Christina de Almeidapt_BR
dc.creatorOtaviano de Sousa Pires Netopt_BR
dc.creatorEduardo Robson Duartept_BR
dc.creatorFernanda Santos Silva Raidanpt_BR
dc.date.accessioned2023-10-20T15:28:15Z-
dc.date.available2023-10-20T15:28:15Z-
dc.date.issued2022-
dc.citation.volume44pt_BR
dc.citation.spage1pt_BR
dc.citation.epage10pt_BR
dc.identifier.doihttps://doi.org/10.4025/actascianimsci.v44i1.55570pt_BR
dc.identifier.issn1807-8672pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/59795-
dc.description.resumoThe purpose of the present study was to evaluate the principal component analysis (PCA) to guide technical assistance regarding several dairy farms’ issues, which includes improving microbiological quality and physical-chemical composition of raw refrigerated milk. Data of monthly analysis of fat, protein, lactose, dry defatted stratum, somatic cell count, total bacterial count, milk temperature of 8,101 samples of milk from expansion tanks and production of 78 farms located in the northern region of Minas Gerais, Brazil were processed. Descriptive statistical measures and Pearson correlation coefficient were estimated involving all evaluated traits during the dry and rainy seasons. In addition, multivariate analyses were performed using PCA. The results showed that two farm sites were negatively related to milk quality in both seasons. One farm stood out positively, being able to be used as a herd management model to drive technical assistance actions. Thus, PCA is efficient in simplifying large amounts of data, allowing simpler and faster technical herd management interpretation.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofActa Scientiarum. Animal Sciences-
dc.rightsAcesso Abertopt_BR
dc.subject.otherBovino de leitept_BR
dc.subject.otherLeite -- Qualidadept_BR
dc.subject.otherAnálise multivariadapt_BR
dc.titleA principal component analysis required in technical assistance guidance for chilled raw milk producerspt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.scielo.br/j/asas/a/3BNFFsDR4vYwCNGMZgbPDcz/?format=pdf&lang=enpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5196-0851pt_BR
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