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Contribution to Characterizing the Meat Quality of Protected Designation of Origin Serrana and Preta de Montesinho Kids Using the Near-Infrared Reflectance Methodology

2024Journal article Open access
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dc.contributor.authorVasconcelos, Lia
dc.contributor.authorDias, L.G.
dc.contributor.authorLeite, Ana
dc.contributor.authorPereira, Etelvina
dc.contributor.authorSilva, Severiano
dc.contributor.authorFerreira, Iasmin
dc.contributor.authorMateo, Javier
dc.contributor.authorRodrigues, Sandra
dc.contributor.authorTeixeira, Alfredo
dc.date.accessioned2024-06-11T16:11:03Z
dc.date.available2024-06-11T16:11:03Z
dc.date.issued2024
dc.description.abstractThe aims of this study were to describe and compare the meat quality characteristics of male and female kids from the "Serrana" and "Preta de Montesinho" breeds certified as "Cabrito Transmontano" and reinforce the performance of near-infrared reflectance (NIR) spectra in predicting these quality characteristics and discriminating among breeds. Samples of Longissimus thoracis (n = 32; sixteen per breed; eight males and eight females) were used. Breed significantly affected meat quality characteristics, with only color and fatty acid (FA) (C12:0) being influenced by sex. The meat of the "Serrana" breed proved to be more tender than that of the "Preta de Montesinho". However, the meat from the "Preta de Montesinho" breed showed higher intramuscular fat content and was lighter than that from the "Serrana" breed, which favors its quality of color and juiciness. The use of NIR with the linear support vector machine regression (SVMR) classification model demonstrated its capability to quantify meat quality characteristics such as pH, CIELab color, protein, moisture, ash, fat, texture, water-holding capacity, and lipid profile. Discriminant analysis was performed by dividing the sample spectra into calibration sets (75 percent) and prediction sets (25 percent) and applying the Kennard-Stone algorithm to the spectra. This resulted in 100% correct classifications with the training data and 96.7% accuracy with the test data. The test data showed acceptable estimation models with R2 > 0.99.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020), SusTEC (LA/P/0007/2021), and the Laboratory of Carcass and Meat Quality of Agriculture School of Polytechnic Institute of Braganca "Cantinho do Alfredo". Grants to L.V. and A.L. are from NORTE-01-0247-FEDER-072234. Some authors (L.G.D., S.R., and A.T.) are members of the Healthy Meat network, funded by CYTED (ref. 119RT0568). This study is part of a project between a research center (LTQCC-IPB) and the National Breed Producers Association of Serrana Goat (ANCRAS) to develop and add value for animals reared in an extensive system and to add value for indigenous breeds.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVasconcelos, Lia; Dias, L.G.; Leite, Ana; Pereira, Etelvina; Silva, Severiano; Ferreira, Iasmin; Mateo, Javier; Rodrigues, Sandra; Teixeira, Alfredo (2024). Contribution to Characterizing the Meat Quality of Protected Designation of Origin Serrana and Preta de Montesinho Kids Using the Near-Infrared Reflectance Methodology. Foods. EISSN 2304-8158. 13:10, p. 1-16pt_PT
dc.identifier.doi10.3390/foods13101581pt_PT
dc.identifier.eissn2304-8158
dc.identifier.urihttp://hdl.handle.net/10198/29881
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationMountain Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSerrana breedpt_PT
dc.subjectPreta de Montesinho breedpt_PT
dc.subjectKids’ goatpt_PT
dc.subjectSVMR linearpt_PT
dc.subjectPrediction modelspt_PT
dc.subjectMeat qualitypt_PT
dc.titleContribution to Characterizing the Meat Quality of Protected Designation of Origin Serrana and Preta de Montesinho Kids Using the Near-Infrared Reflectance Methodologypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.citation.endPage16pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleFoodspt_PT
oaire.citation.volume13pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVasconcelos
person.familyNameDias
person.familyNameLeite
person.familyNameFerreira
person.familyNameRodrigues
person.familyNameTeixeira
person.givenNameLia
person.givenNameLuís G.
person.givenNameAna
person.givenNameIasmin da Silva
person.givenNameSandra
person.givenNameAlfredo
person.identifier2638674
person.identifier958487
person.identifier.ciencia-id2015-35EF-B2C9
person.identifier.ciencia-id2F11-9092-FAAF
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person.identifier.ciencia-id9F1F-D7E7-163A
person.identifier.ciencia-id651F-D964-32E1
person.identifier.ciencia-id2A1A-FF0C-185B
person.identifier.orcid0009-0003-1035-5622
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0002-4480-724X
person.identifier.orcid0000-0003-0162-7182
person.identifier.orcid0000-0003-3301-1729
person.identifier.orcid0000-0003-4607-4796
person.identifier.ridC-6486-2008
person.identifier.ridG-4118-2011
person.identifier.scopus-author-id57224659068
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id14048942500
person.identifier.scopus-author-id56195849200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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