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Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal

dc.contributor.authorTeixeira, Alfredo
dc.contributor.authorDias, L.G.
dc.contributor.authorPeres, António M.
dc.date.accessioned2011-06-16T14:54:44Z
dc.date.available2011-06-16T14:54:44Z
dc.date.issued2010
dc.description.abstractA recent development to improve the prediction of goat body or carcass composition in small has been made. With the perspective to use a unique model to estimate body composition, based on a reduced number of predictors a model using artificial neural networks was proposed. On this sense the main objective of the present work will be to demonstrate the necessity to organize a world network to build a great database, covering the most relevant carcass and body compositions data, for the most important goat breeds at different maturity degrees and with carcasses that proportionate the development of general, robust, and more reliable models to swiftly assess goat and carcass body compositions, as well as to implement a modern and objective on-line technique for carcass evaluation and marketing classification.por
dc.identifier.citationTeixeira, A.; Dias, L.G.; Peres, A.M. (2010). Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal. In 10th International Conference on Goats. Recifepor
dc.identifier.urihttp://hdl.handle.net/10198/5232
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleSimultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposalpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceRecife, Brazilpor
oaire.citation.titleAnnals of 10th International Conference on Goats CD-rompor
person.familyNameTeixeira
person.familyNameDias
person.familyNamePeres
person.givenNameAlfredo
person.givenNameLuís G.
person.givenNameAntónio M.
person.identifier958487
person.identifier107333
person.identifier.ciencia-id2A1A-FF0C-185B
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0003-4607-4796
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridG-4118-2011
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id56195849200
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id7102331969
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication27cc89a2-6661-4d8d-a727-21109c04a74e
relation.isAuthorOfPublicationeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isAuthorOfPublication7d93be47-8dc4-4413-9304-5b978773d3bb
relation.isAuthorOfPublication.latestForDiscovery7d93be47-8dc4-4413-9304-5b978773d3bb

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