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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
08/06/2012 |
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Data da última atualização: |
03/08/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GRUNVALD, A. K.; CARVALHO, C. G. P. de; MANDARINO, J. M. G.; GONÇALVES, J. L.; ANDRADE, C. A. de B.; SCAPIM, C. A. |
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Afiliação: |
ANNA KAROLINA GRUNVALD, UEM; CLAUDIO GUILHERME PORTELA CARVALHO, CNPSO; JOSE MARCOS GONTIJO MANDARINO, CNPSO; JULIANA LEITE GONÇALVES, Filadélfia University; CARLOS ALBERTO DE BASTOS ANDRADE, UEM; CARLOS ALBERTO SCAPIM. |
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Título: |
Discriminant analysis of sunflower seeds for fatty acid composition using NIR spectroscopy. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Journal of the American Oil Chemists' Society, Chicago, v. 89, p. 995-1001, 2012. |
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DOI: |
10.1007/s11746-011-2003-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Near-infrared reflectance (NIR) spectroscopy data from sunflower seeds of genotypes differing in oleic and linoleic fatty acid contents were evaluated by discriminant analysis. A single husked seed was used for spectral analysis of each genotype. We applied two clustering strategies to discriminate the genotypes. First, we fit three calibration curves for high oleic × low oleic, high oleic × mid-oleic and mid-oleic × low oleic genotype-derived fatty acids. Next, we fit just one curve to all these three groups. All these curves were established using principal component analysis. The clustering precision was determined by d, the Mahalanobis distance between the genotype and the closest group, and D, the distance up to the next group. The spectral range used for calibration was 1,651?1,952 nm. The genotypes were well classified when d was close to one and the ratio D/d was close to or higher than two. The discriminant analysis allowed the classification of the high oleic and mid-oleic genotypes even though they had similar signals in gas chromatography (GC). Although both clustering strategies were similar, the first one allowed a better discrimination between the mid-oleic and low oleic genotypes. |
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Thesagro: |
Girassol; Helianthus Annuus; Óleo vegetal. |
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Thesaurus Nal: |
Vegetable oil. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 01957naa a2200241 a 4500
001 1926294
005 2017-08-03
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1007/s11746-011-2003-9$2DOI
100 1 $aGRUNVALD, A. K.
245 $aDiscriminant analysis of sunflower seeds for fatty acid composition using NIR spectroscopy.
260 $c2012
520 $aNear-infrared reflectance (NIR) spectroscopy data from sunflower seeds of genotypes differing in oleic and linoleic fatty acid contents were evaluated by discriminant analysis. A single husked seed was used for spectral analysis of each genotype. We applied two clustering strategies to discriminate the genotypes. First, we fit three calibration curves for high oleic × low oleic, high oleic × mid-oleic and mid-oleic × low oleic genotype-derived fatty acids. Next, we fit just one curve to all these three groups. All these curves were established using principal component analysis. The clustering precision was determined by d, the Mahalanobis distance between the genotype and the closest group, and D, the distance up to the next group. The spectral range used for calibration was 1,651?1,952 nm. The genotypes were well classified when d was close to one and the ratio D/d was close to or higher than two. The discriminant analysis allowed the classification of the high oleic and mid-oleic genotypes even though they had similar signals in gas chromatography (GC). Although both clustering strategies were similar, the first one allowed a better discrimination between the mid-oleic and low oleic genotypes.
650 $aVegetable oil
650 $aGirassol
650 $aHelianthus Annuus
650 $aÓleo vegetal
700 1 $aCARVALHO, C. G. P. de
700 1 $aMANDARINO, J. M. G.
700 1 $aGONÇALVES, J. L.
700 1 $aANDRADE, C. A. de B.
700 1 $aSCAPIM, C. A.
773 $tJournal of the American Oil Chemists' Society, Chicago$gv. 89, p. 995-1001, 2012.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
08/11/2007 |
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Data da última atualização: |
17/05/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ALBUQUERQUE, L. de F.; DUTRA, L. A.; BEZERRA, A. M.; FERNANDES, F. E. P.; CARVALHO, F. C. de; ARAUJO FILHO, J. A. de. |
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Afiliação: |
Livian de Freitas Albuquerque, IC-FUNCAP Universidade Estadual Vale do Acaraú (UVA), Sobral, CE; Leonardo Assis Dutra, PIBIC/CNPq UVA; Alixandre Mendonça Bezerra, PIBIC/CNPq UVA; Francisco Éden Paiva Fernandes, Pós-graduando UFV; Fabiano Cavalcante de Carvalho, UVA; João ambrósio de Araújo Filho, CNPC. |
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Título: |
Concentração de fósforo na manta orgânica em um sistema agrossilvipastoril no Nordeste brasileiro. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE ESTADUAL VALE DO ACARAÚ, 8., 2007, Sobral. Anais dos resumos. Sobral: Universidade Estadual Vale do Acaraú, 2007. p. 29. |
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Idioma: |
Português |
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Palavras-Chave: |
Ciclagem de nutriente; Manta orgânica; Sistema agrossilvipastoril. |
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Thesagro: |
Fósforo. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/52748/1/RAC-Concentracao-de-fosforo.pdf
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Marc: |
LEADER 00811nam a2200205 a 4500
001 1533408
005 2022-05-17
008 2007 bl uuuu u00u1 u #d
100 1 $aALBUQUERQUE, L. de F.
245 $aConcentração de fósforo na manta orgânica em um sistema agrossilvipastoril no Nordeste brasileiro.$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE ESTADUAL VALE DO ACARAÚ, 8., 2007, Sobral. Anais dos resumos. Sobral: Universidade Estadual Vale do Acaraú, 2007. p. 29.$c2007
650 $aFósforo
653 $aCiclagem de nutriente
653 $aManta orgânica
653 $aSistema agrossilvipastoril
700 1 $aDUTRA, L. A.
700 1 $aBEZERRA, A. M.
700 1 $aFERNANDES, F. E. P.
700 1 $aCARVALHO, F. C. de
700 1 $aARAUJO FILHO, J. A. de
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Embrapa Caprinos e Ovinos (CNPC) |
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