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Registro Completo |
Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
Data corrente: |
02/07/1999 |
Data da última atualização: |
01/09/2010 |
Autoria: |
KORNDORFER, G. H.; DATNOFF, L. E. |
Título: |
Adubação com silício: uma alternativa no controle de doenças da cana-de-açúcar e do arroz. |
Ano de publicação: |
1995 |
Fonte/Imprenta: |
Piracicaba, SP: Potafos, 1995. |
Páginas: |
3 p. |
Série: |
(POTAFOS. Informações Agronômicas, 70). |
Idioma: |
Português |
Palavras-Chave: |
Cana-de-açúcar; Controle; Silicom manuring. |
Thesagro: |
Doença; Silício. |
Thesaurus Nal: |
disease control; rice; sugarcane. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00645nam a2200229 a 4500 001 1359973 005 2010-09-01 008 1995 bl uuuu u0uu1 u #d 100 1 $aKORNDORFER, G. H. 245 $aAdubação com silício$buma alternativa no controle de doenças da cana-de-açúcar e do arroz. 260 $aPiracicaba, SP: Potafos$c1995 300 $a3 p. 490 $a(POTAFOS. Informações Agronômicas, 70). 650 $adisease control 650 $arice 650 $asugarcane 650 $aDoença 650 $aSilício 653 $aCana-de-açúcar 653 $aControle 653 $aSilicom manuring 700 1 $aDATNOFF, L. E.
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Embrapa Tabuleiros Costeiros (CPATC) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
20/07/2016 |
Data da última atualização: |
24/02/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
GUIMARAES, C. C.; ASSIS, C.; SIMEONE, M. L. F.; SENA, M. M. |
Afiliação: |
MARIA LUCIA FERREIRA SIMEONE, CNPMS. |
Título: |
Use of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Energy & Fuels, Washington, v. 30, p. 4137- 4144, 2016. |
DOI: |
10.1021/acs.energyfuels.6b00408 |
Idioma: |
Inglês |
Conteúdo: |
Sweet sorghum juice is gaining importance as a raw material for the first-generation ethanol production in the period between harvests of sugar cane. Breeding programs are seeking to improve sorghum quality to increase productivity, what has generated an excessive number of samples to be analyzed. Thus, the aim of this paper was to develop rapid and low-cost methods based on partial least-squares (PLS) and near-infrared spectroscopy (NIRS) for the determination of four quality chemical parameters of sweet sorghum. Spectra were recorded with a transflectance accessory, and robust models were built with 500 samples obtained from more than 200 hybrids and inbred strains. Optimization by variable selection was carried out with ordered predictors selection (OPS), providing simpler, more interpretable and predictive multivariate calibration models. The methods were developed in the working ranges of 5.5−18.1° Brix, 1.2−5.2%, 0.3−13.0%, and 9.8−83.0% for degrees Brix, reducing sugars, polarizable sugars, and apparent purity, respectively. Root-mean-square errors of prediction (RMSEP) of 0.3° Brix, 0.3%, 0.6%, and 5.3% were obtained for these four parameters, respectively. Finally, a complete multivariate analytical validation was carried out, and the methods were considered linear, accurate, sensitive, and without bias. |
Thesagro: |
Análise de Laboratório; Etanol; Química; Sorgo açucareiro. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02105naa a2200217 a 4500 001 2049288 005 2017-02-24 008 2016 bl uuuu u00u1 u #d 024 7 $a10.1021/acs.energyfuels.6b00408$2DOI 100 1 $aGUIMARAES, C. C. 245 $aUse of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol.$h[electronic resource] 260 $c2016 520 $aSweet sorghum juice is gaining importance as a raw material for the first-generation ethanol production in the period between harvests of sugar cane. Breeding programs are seeking to improve sorghum quality to increase productivity, what has generated an excessive number of samples to be analyzed. Thus, the aim of this paper was to develop rapid and low-cost methods based on partial least-squares (PLS) and near-infrared spectroscopy (NIRS) for the determination of four quality chemical parameters of sweet sorghum. Spectra were recorded with a transflectance accessory, and robust models were built with 500 samples obtained from more than 200 hybrids and inbred strains. Optimization by variable selection was carried out with ordered predictors selection (OPS), providing simpler, more interpretable and predictive multivariate calibration models. The methods were developed in the working ranges of 5.5−18.1° Brix, 1.2−5.2%, 0.3−13.0%, and 9.8−83.0% for degrees Brix, reducing sugars, polarizable sugars, and apparent purity, respectively. Root-mean-square errors of prediction (RMSEP) of 0.3° Brix, 0.3%, 0.6%, and 5.3% were obtained for these four parameters, respectively. Finally, a complete multivariate analytical validation was carried out, and the methods were considered linear, accurate, sensitive, and without bias. 650 $aAnálise de Laboratório 650 $aEtanol 650 $aQuímica 650 $aSorgo açucareiro 700 1 $aASSIS, C. 700 1 $aSIMEONE, M. L. F. 700 1 $aSENA, M. M. 773 $tEnergy & Fuels, Washington$gv. 30, p. 4137- 4144, 2016.
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