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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: |
19/07/2024 |
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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 01980naa a2200241 a 4500
001 1926294
005 2024-07-19
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1007/s11746-011-2003-9$2DOI
100 1 $aGRUNVALD, A. K.
245 $aDiscriminant analysis of sunflower seeds for fatty acid composition using NIR spectroscopy.$h[electronic resource]
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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Embrapa Soja (CNPSO) |
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