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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
15/02/2024 |
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Data da última atualização: |
15/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COELHO, A. E.; SANGOI, L.; SAPUCAY, M. J. L. da C.; BRATTI, F.; BALBINOT JUNIOR, A. A. |
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Afiliação: |
ANTONIO EDUARDO COELHO, UNIVERSIDADE DO ESTADO DE SANTA CATARINA; LUIS SANGOI, UNIVERSIDADE DO ESTADO DE SANTA CATARINA; MORYB JORGE LIMA DA COSTA SAPUCAY, UNIVERSIDADE ESTADUAL DE LONDRINA; FELIPE BRATTI, UNIVERSIDADE FEDERAL DO PARANÁ; ALVADI ANTONIO BALBINOT JUNIOR, CNPT. |
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Título: |
Soybean yield and profitability are affected by the spatial distribution of seeds in rows and seeding rate. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Agronomy Journal, v. 116, n. 1, p. 247-259, 2024. |
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DOI: |
10.1002/agj2.21492 |
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Idioma: |
Inglês |
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Notas: |
First online. |
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Thesagro: |
Espaçamento; Semente; Soja. |
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Thesaurus Nal: |
Seeds; Soybeans; Spatial distribution. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 00747naa a2200253 a 4500
001 2161992
005 2024-02-15
008 2024 bl uuuu u00u1 u #d
024 7 $a10.1002/agj2.21492$2DOI
100 1 $aCOELHO, A. E.
245 $aSoybean yield and profitability are affected by the spatial distribution of seeds in rows and seeding rate.$h[electronic resource]
260 $c2024
500 $aFirst online.
650 $aSeeds
650 $aSoybeans
650 $aSpatial distribution
650 $aEspaçamento
650 $aSemente
650 $aSoja
700 1 $aSANGOI, L.
700 1 $aSAPUCAY, M. J. L. da C.
700 1 $aBRATTI, F.
700 1 $aBALBINOT JUNIOR, A. A.
773 $tAgronomy Journal$gv. 116, n. 1, p. 247-259, 2024.
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Registro original: |
Embrapa Trigo (CNPT) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido; Embrapa Uva e Vinho. |
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Data corrente: |
20/10/2011 |
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Data da última atualização: |
14/09/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GOMES NETO, H.; HALLWASS, F.; SILVA, J. B. P. da; PEREIRA, G. E. |
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Afiliação: |
HUMBERTO GOMES NETO, UFPE; FERNANDO HALLWASS, UFPE; JOÃO BOSCO PARAÍSO DA SILVA, UFPE; GIULIANO ELIAS PEREIRA, CNPUV. |
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Título: |
Use of chemometrics to characterize tropical wines from different vintages and grape cultivars according to the 1H NMR spectroscopy data. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM OF THE GROUP OF INTERNATIONAL EXPERTS OF VITIVINICULTURAL SYSTEMS FOR COOPERATION, 17., 2011, Asti-Alba, Italy. Proceedings... [S.l.]: Le Progrès Agricole et Viticole, 2011. |
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Páginas: |
p. 29-31. |
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Idioma: |
Inglês |
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Notas: |
Resumo. |
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Conteúdo: |
Tropical wines have been produced in Northeast of Brazil since 1980's, between the 8° and 9° S latitude, in a region called Sub-rniddle São Francisco river Valley. This area presents an intra-annual climate variability and wines can be elaborated in different months of the year, according to the winery, with different analytical characteristics due to the climatic conditions. NMR spectroscopy is an interesting tool that allows to determine in a single analysis many analytical compounds of the wines. PCA and PLS rnultivariate statistical analyses applied on NMR data allow to discriminate samples and to identify the responsible compounds for the clustering. The aim of this work was to use chemometrics, PCA and PLS, applied on IH NMR spectroscopy data, to characterize tropical wines from different vintages and grape cultivars, in Northeast of Brazil. Wines were elaborated by using traditional winemaking process with control of the fermentations temperature and use of antioxidants. Before statistical analyses, IHNMR spectra were segmented, normalized, converted to Excel software format and further processed for PCA and PLS analyses. Statistical analyses applied on NMR spectra data were not satisfactory to discriminate between different vintages of white and red wines together, but they were able to separate each one according to different vintages and cultivars. Metabolic compounds were found to explain wine clusters, and fingerprints are discussed. |
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Palavras-Chave: |
Espectroscopia; Quimiometria; Vinho tropical. |
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Thesagro: |
Análise química; Enologia; Uva; Variedade; Vinho. |
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Thesaurus NAL: |
Grapes. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/49464/1/GIESCO-p29.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/130948/1/45756.pdf
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Marc: |
LEADER 02400nam a2200277 a 4500
001 1908709
005 2016-09-14
008 2011 bl uuuu u00u1 u #d
100 1 $aGOMES NETO, H.
245 $aUse of chemometrics to characterize tropical wines from different vintages and grape cultivars according to the 1H NMR spectroscopy data.
260 $aIn: INTERNATIONAL SYMPOSIUM OF THE GROUP OF INTERNATIONAL EXPERTS OF VITIVINICULTURAL SYSTEMS FOR COOPERATION, 17., 2011, Asti-Alba, Italy. Proceedings... [S.l.]: Le Progrès Agricole et Viticole$c2011
300 $ap. 29-31.
500 $aResumo.
520 $aTropical wines have been produced in Northeast of Brazil since 1980's, between the 8° and 9° S latitude, in a region called Sub-rniddle São Francisco river Valley. This area presents an intra-annual climate variability and wines can be elaborated in different months of the year, according to the winery, with different analytical characteristics due to the climatic conditions. NMR spectroscopy is an interesting tool that allows to determine in a single analysis many analytical compounds of the wines. PCA and PLS rnultivariate statistical analyses applied on NMR data allow to discriminate samples and to identify the responsible compounds for the clustering. The aim of this work was to use chemometrics, PCA and PLS, applied on IH NMR spectroscopy data, to characterize tropical wines from different vintages and grape cultivars, in Northeast of Brazil. Wines were elaborated by using traditional winemaking process with control of the fermentations temperature and use of antioxidants. Before statistical analyses, IHNMR spectra were segmented, normalized, converted to Excel software format and further processed for PCA and PLS analyses. Statistical analyses applied on NMR spectra data were not satisfactory to discriminate between different vintages of white and red wines together, but they were able to separate each one according to different vintages and cultivars. Metabolic compounds were found to explain wine clusters, and fingerprints are discussed.
650 $aGrapes
650 $aAnálise química
650 $aEnologia
650 $aUva
650 $aVariedade
650 $aVinho
653 $aEspectroscopia
653 $aQuimiometria
653 $aVinho tropical
700 1 $aHALLWASS, F.
700 1 $aSILVA, J. B. P. da
700 1 $aPEREIRA, G. E.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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