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Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
17/01/2011 |
Data da última atualização: |
29/03/2012 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SILVA, J. B. da S.; CARRÃO-PANIZZI, M.C.; FONSECA, F. J.; PRUDÊNCIO, S. H. |
Afiliação: |
JOSEMEYRE BONIFÁCIO DA SILVA, UEL; MERCEDES CONCORDIA CARRAO PANIZZI, CNPSO; FERNANDO JOSEPETT FONSECA, Escola Politécnica da USP; SANDRA HELENA PRUDÊNCIO, UEL. |
Título: |
Flavor of soybean cultivars: sensory descriptive analysis and eletronic tongue. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: In: INTERNATIONAL CONFERENCE ON FOOD AND AGRICULTURE APPLICATIONS OF NANOTECHNOLOGIES, 1., 2010, São Pedro, SP. [Anais...] São Pedro: Rede AgroNano: Aptor Software, 2010. Abstract, C515. 1 CD-ROM. Editors: Caue Ribeiro, Odílio Benedito Garrido de Assis, Luiz Henrique Capparelli Mattoso, Sérgio Mascarenhas. NanoAgri 2010. |
Idioma: |
Inglês |
Conteúdo: |
Soybean cultivars have different uses and are classified as food type and grain type. Grain type cultivars are for oil processing and animal feeding and present ?beany" flavor. Food type cultivars are those for human consumption that have special chemical, physical and sensory characteristics. Through sensory evaluation, it was possible to identify different flavors for five distinct special soybean cultivars: BRS 213 (null lipoxygenases), BRS 216 (small grain size), BRS 267 (vegetable type), BRS 133 and BRS 258 (grain type cultivars).The objective of this work was to study the sensory characteristics of different soybean cultivars using the Quantitative Descriptive Analysis (QDA) by Stone and Sidel, 2004 [1] and the electronic tongue fabricated by self-assembly technique employing an automatic deposition of films developed at Escola Politécnica - USP. Data was analysed by Principal Component Analysis (PCA) using the STATISTICA program version 6.0 (2001) and results showed that, electronic sensors were effective in distinguishing and separating soybean cultivars in five different groups as the evaluation of the trained sensory panel. In Figure 1 it can be observed the comparing graphics of the PCA data obtained by QDA with the electronic tongue, where the separation of soybean cultivars is distingueshed. Therefore the use of the electronic tongue in food assessment can provide a rapid and accurate method to analyse flavor of food products, and lines for breeding purposes. |
Palavras-Chave: |
Nanotecnologia. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/56638/1/flavor.mercedes.nanoagri2010.pdf
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Marc: |
LEADER 02254nam a2200157 a 4500 001 1873321 005 2012-03-29 008 2010 bl uuuu u00u1 u #d 100 1 $aSILVA, J. B. da S. 245 $aFlavor of soybean cultivars$bsensory descriptive analysis and eletronic tongue. 260 $aIn: In: INTERNATIONAL CONFERENCE ON FOOD AND AGRICULTURE APPLICATIONS OF NANOTECHNOLOGIES, 1., 2010, São Pedro, SP. [Anais...] São Pedro: Rede AgroNano: Aptor Software, 2010. Abstract, C515. 1 CD-ROM. Editors: Caue Ribeiro, Odílio Benedito Garrido de Assis, Luiz Henrique Capparelli Mattoso, Sérgio Mascarenhas. NanoAgri 2010.$c2010 520 $aSoybean cultivars have different uses and are classified as food type and grain type. Grain type cultivars are for oil processing and animal feeding and present ?beany" flavor. Food type cultivars are those for human consumption that have special chemical, physical and sensory characteristics. Through sensory evaluation, it was possible to identify different flavors for five distinct special soybean cultivars: BRS 213 (null lipoxygenases), BRS 216 (small grain size), BRS 267 (vegetable type), BRS 133 and BRS 258 (grain type cultivars).The objective of this work was to study the sensory characteristics of different soybean cultivars using the Quantitative Descriptive Analysis (QDA) by Stone and Sidel, 2004 [1] and the electronic tongue fabricated by self-assembly technique employing an automatic deposition of films developed at Escola Politécnica - USP. Data was analysed by Principal Component Analysis (PCA) using the STATISTICA program version 6.0 (2001) and results showed that, electronic sensors were effective in distinguishing and separating soybean cultivars in five different groups as the evaluation of the trained sensory panel. In Figure 1 it can be observed the comparing graphics of the PCA data obtained by QDA with the electronic tongue, where the separation of soybean cultivars is distingueshed. Therefore the use of the electronic tongue in food assessment can provide a rapid and accurate method to analyse flavor of food products, and lines for breeding purposes. 653 $aNanotecnologia 700 1 $aCARRÃO-PANIZZI, M.C. 700 1 $aFONSECA, F. J. 700 1 $aPRUDÊNCIO, S. H.
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Embrapa Soja (CNPSO) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
16/12/2014 |
Data da última atualização: |
29/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
ROFL, M. M.; DECKER, J. E.; McKAY, S. D.; TIZIOTO, P. C.; BRANHAM, K. A.; WHITACRE, L. K.; HOFF, J. L.; REGITANO, L. C. de A.; TAYLOR, J. F. |
Afiliação: |
MEGAN M. ROLF, OKLAHOMA UNIVERSITY/STILLWATER; JARED E. DECKER, OKLAHOMA UNIVERSTY/ STILLWATER; STEPHANIE D. McKAY, UNIVERSTY OF VERMONT/BURLINGTON; POLYANA C. TIZIOTO, UFSCar/SÃO CARLOS, SP; KIMBERLY A. BRANHAM, OKLAHOMA UNIVERSTY/ STILLWATER; LYNSEY K. WHITACRE, UNIVERSTY OF MISSIURI/COLUMBIA; JESSE L. HOFF, UNIVERSITY OF MISSOURI/COLUMBIA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; JEREMY F. TAYLOR, UNIVERSITY OF MISSOURI/COLUMBIA. |
Título: |
Genomics in the United States beef industry. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Livestock Science, v.166, p. 84-93, aug. 2014. |
DOI: |
https://doi.org/10.1016/j.livsci.2014.06.005 |
Idioma: |
Inglês |
Conteúdo: |
While genetic evaluation systems which combine performance records and pedigree data have been utilized n the beef industry forover four decades,the incorporation of genomic information into genetic evaluation, and the effective implementation of genomic tools with in the industry is relatively novel. Genomic technologies have been effectively deployed in the dairy, swine, and poultry industries;however, the beef industry possesses unique challenges for technology transfer. In this paper, we discuss the current limitations of genomic technologies and hindr0ances to the transfer of these technologies to the beef industry, while also considering opportunities for improved genomic and epigenomic tools needed to surmount barriers to technology adoption. |
Palavras-Chave: |
Bovine; Genetic evaluation; Genomics selection. |
Thesaurus NAL: |
beef cattle. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 01530naa a2200277 a 4500 001 2002780 005 2023-03-29 008 2014 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.livsci.2014.06.005$2DOI 100 1 $aROFL, M. M. 245 $aGenomics in the United States beef industry.$h[electronic resource] 260 $c2014 520 $aWhile genetic evaluation systems which combine performance records and pedigree data have been utilized n the beef industry forover four decades,the incorporation of genomic information into genetic evaluation, and the effective implementation of genomic tools with in the industry is relatively novel. Genomic technologies have been effectively deployed in the dairy, swine, and poultry industries;however, the beef industry possesses unique challenges for technology transfer. In this paper, we discuss the current limitations of genomic technologies and hindr0ances to the transfer of these technologies to the beef industry, while also considering opportunities for improved genomic and epigenomic tools needed to surmount barriers to technology adoption. 650 $abeef cattle 653 $aBovine 653 $aGenetic evaluation 653 $aGenomics selection 700 1 $aDECKER, J. E. 700 1 $aMcKAY, S. D. 700 1 $aTIZIOTO, P. C. 700 1 $aBRANHAM, K. A. 700 1 $aWHITACRE, L. K. 700 1 $aHOFF, J. L. 700 1 $aREGITANO, L. C. de A. 700 1 $aTAYLOR, J. F. 773 $tLivestock Science$gv.166, p. 84-93, aug. 2014.
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