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Application of bioelectrical impedance analysis in prediction of light kid carcass and muscle chemical composition

dc.contributor.authorSilva, Severiano
dc.contributor.authorAfonso, João
dc.contributor.authorMonteiro, António
dc.contributor.authorMorais, Reis
dc.contributor.authorCabo, Ângelo D.
dc.contributor.authorBatista, Ana Cristina Beviláqua
dc.contributor.authorGuedes, Cristina M.
dc.contributor.authorTeixeira, Alfredo
dc.date.accessioned2018-11-23T11:58:28Z
dc.date.available2018-11-23T11:58:28Z
dc.date.issued2017
dc.description.abstractCarcass data were collected from 24 kids (average live weight of 12.5±5.5 kg; range 4.5 to 22.4 kg) of Jarmelista Portuguese native breed, to evaluate bioelectrical impedance analysis (BIA) as a technique for prediction of light kid carcass and muscle chemical composition. Resistance (Rs, Ω) and reactance (Xc, Ω), were measured in the cold carcasses with a single frequency bioelectrical impedance analyzer and, together with impedance (Z, Ω), two electrical volume measurements (VolA and VolB, cm2/Ω), carcass cold weight (CCW), carcass compactness and several carcass linear measurements were fitted as independent variables to predict carcass composition by stepwise regression analysis. The amount of variation explained by VolA and VolB only reached a significant level (P<0.01 and P<0.05, respectively) for muscle weight, moisture, protein and fat-free soft tissue content, even so with low accuracy, with VolA providing the best results (0.326⩽R 2⩽0.366). Quite differently, individual BIA parameters (Rs, Xc and Z) explained a very large amount of variation in dissectible carcass fat weight (0.814⩽R 2⩽0.862; P<0.01). These individual BIA parameters also explained a large amount of variation in subcutaneous and intermuscular fat weights (respectively 0.749⩽R 2⩽0.793 and 0.718⩽R 2⩽0.760; P<0.01), and in muscle chemical fat weight (0.663⩽R 2⩽0.684; P<0.01). Still significant but much lower was the variation in muscle, moisture, protein and fat-free soft tissue weights (0.344⩽R 2⩽0.393; P<0.01) explained by BIA parameters. Still, the best models for estimation of muscle, moisture, protein and fat-free soft tissue weights included Rs in addition to CCW, and accounted for 97.1% to 99.8% (P<0.01) of the variation observed, with CCW by itself accounting for 97.0% to 99.6% (P<0.01) of that variation. Resistance was the only independent variable selected for the best model predicting subcutaneous fat weight. It was also selected for the best models predicting carcass fat weight (combined with carcass length, CL; R 2=0.943; P<0.01) and intermuscular fat weight (combined with CCW; R 2=0.945; P<0.01). The best model predicting muscle chemical fat weight combined CCW and Z, explaining 85.6% (P<0.01) of the variation observed. These results indicate BIA as a useful tool for prediction of light kids' carcass composition.pt_PT
dc.description.sponsorshipThis work was supported by the Portuguese Science and Technology Foundation (FCT) under the Project PEst-OE/AGR/UID/CVT/00772/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, S.R.; Afonso, J.; Monteiro, A.; Morais, R.; Cabo, A.; Batista, A.C.; Guedes, C.M.; Teixeira, A. (2017). Application of bioelectrical impedance analysis in prediction of light kid carcass and muscle chemical composition. Animal. ISSN 1751-7311. 12:6, p. 1324-1330pt_PT
dc.identifier.doi10.1017/S1751731117002580pt_PT
dc.identifier.eissn1751-732X
dc.identifier.issn1751-7311
dc.identifier.urihttp://hdl.handle.net/10198/18231
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLight kidpt_PT
dc.subjectCarcasspt_PT
dc.subjectMusclept_PT
dc.subjectChemical compositionpt_PT
dc.subjectBioelectrical impedancept_PT
dc.titleApplication of bioelectrical impedance analysis in prediction of light kid carcass and muscle chemical compositionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCVT%2F00772%2F2013/PT
oaire.citation.endPage1330pt_PT
oaire.citation.issue06pt_PT
oaire.citation.startPage1324pt_PT
oaire.citation.titleanimalpt_PT
oaire.citation.volume12pt_PT
oaire.fundingStream5876
person.familyNameTeixeira
person.givenNameAlfredo
person.identifier958487
person.identifier.ciencia-id2A1A-FF0C-185B
person.identifier.orcid0000-0003-4607-4796
person.identifier.ridG-4118-2011
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
relation.isAuthorOfPublication27cc89a2-6661-4d8d-a727-21109c04a74e
relation.isAuthorOfPublication.latestForDiscovery27cc89a2-6661-4d8d-a727-21109c04a74e
relation.isProjectOfPublicatione5b09f32-f87a-436a-95f6-17fb6f0a5a2a
relation.isProjectOfPublication.latestForDiscoverye5b09f32-f87a-436a-95f6-17fb6f0a5a2a

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