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

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Resumo:A 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.
Autores principais:Teixeira, Alfredo
Outros Autores:Dias, L.G.; Peres, António M.
Ano:2010
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Teixeira, Alfredo
author2 Dias, L.G.
Peres, António M.
author2_role author
author
author_facet Teixeira, Alfredo
Dias, L.G.
Peres, António M.
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Teixeira, Alfredo\",\"Person.identifier.orcid\":\"0000-0003-4607-4796\"},{\"Person.name\":\"Dias, L.G.\",\"Person.identifier.orcid\":\"0000-0002-1210-4259\"},{\"Person.name\":\"Peres, António M.\",\"Person.identifier.orcid\":\"0000-0001-6595-9165\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Teixeira, Alfredo
Dias, L.G.
Peres, António M.
datacite.date.Accepted.fl_str_mv 2010-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2011-06-16T14:54:44Z
datacite.date.embargoed.fl_str_mv 2011-06-16T14:54:44Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.titles.title.fl_str_mv Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Teixeira, Alfredo
Dias, L.G.
Peres, António M.
dc.date.Accepted.fl_str_mv 2010-01-01T00:00:00Z
dc.date.available.fl_str_mv 2011-06-16T14:54:44Z
dc.date.embargoed.fl_str_mv 2011-06-16T14:54:44Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/5232
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.title.fl_str_mv Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description A 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.
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format conferencePaper
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identifier.url.fl_str_mv http://hdl.handle.net/10198/5232
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instname_str Instituto Politécnico de Bragança
language eng
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network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/5232
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Teixeira, Alfredo
Teixeira, Alfredo
https://www.ciencia-id.pt/2A1A-FF0C-185B
2A1A-FF0C-185B
http://orcid.org/0000-0003-4607-4796
0000-0003-4607-4796
Dias, L.G.
Dias, L.G.
https://www.ciencia-id.pt/2F11-9092-FAAF
2F11-9092-FAAF
http://orcid.org/0000-0002-1210-4259
0000-0002-1210-4259
Peres, António M.
Peres, António M.
https://www.ciencia-id.pt/CF16-5443-F420
CF16-5443-F420
http://orcid.org/0000-0001-6595-9165
0000-0001-6595-9165
publishDate 2010
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engporA 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.application/pdfporSimultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposalPersonalTeixeira, AlfredoDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eTeixeiraAlfredoCiência IDhttps://www.ciencia-id.pt2A1A-FF0C-185BORCIDhttp://orcid.org0000-0003-4607-4796Researcher IDhttps://www.researcherid.comG-4118-2011Scopus Author IDhttps://www.scopus.com56195849200PersonalDias, L.G.DSpacehttp://dspace.org/items/eac8c166-4056-4ed0-8d8d-7ecb2c4481a5DSpacehttp://dspace.org/items/eac8c166-4056-4ed0-8d8d-7ecb2c4481a5DiasLuís G.Ciência IDhttps://www.ciencia-id.pt2F11-9092-FAAFORCIDhttp://orcid.org0000-0002-1210-4259Scopus Author IDhttps://www.scopus.com23569169900PersonalPeres, António M.DSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbDSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbPeresAntónio M.Ciência IDhttps://www.ciencia-id.ptCF16-5443-F420ORCIDhttp://orcid.org0000-0001-6595-9165Researcher IDhttps://www.researcherid.comI-8470-2012Scopus Author IDhttps://www.scopus.com7102331969HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2011-06-16T14:54:44Z20102010-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/5232http://purl.org/coar/access_right/c_abf2open access130124 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/a5d4185e-6beb-4d2c-b009-61f1e7d6c1c9/downloadAnnals of 10th International Conference on Goats CD-romRecife, Brazil
spellingShingle Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
Teixeira, Alfredo
status SINGLETON
title Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
title_full Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
title_fullStr Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
title_full_unstemmed Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
title_short Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
title_sort Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
url http://hdl.handle.net/10198/5232
visible 1