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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
23/10/2022 |
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Data da última atualização: |
14/12/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
FERNANDES, J. P. T.; NASCENTE, A. S.; FILIPPI, M. C. C. de; LANNA, A. C.; SILVA, M. A. |
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Afiliação: |
JOÃO PEDRO TAVARES FERNANDES, UNIVERSIDADE FEDERAL DE GOIÁS; ADRIANO STEPHAN NASCENTE, CNPAF; MARTA CRISTINA CORSI DE FILIPPI, CNPAF; ANNA CRISTINA LANNA, CNPAF; MARIANA AGUIAR SILVA, UNIVERSIDADE FEDERAL DE GOIÁS. |
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Título: |
Physio-agronomic characterization of upland rice inoculated with mix of multifunctional microorganisms. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 19., 2022, Iguassu Falls. Stepping forward to global nutrient use efficiency: proceedings. São Paulo: International Plant Nutrition Council, 2022. |
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Páginas: |
p. 20. |
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ISBN: |
978-65-851-1101-0 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to determine the effect of bioagents applied alone or in mix on the performance of upland rice. The experiment was conducted in a greenhouse in a completely randomized design with four replications. |
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Thesagro: |
Agricultura Sustentável; Arroz; Microrganismo; Nutriente; Trichoderma. |
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Thesaurus Nal: |
Beneficial microorganisms; Nutrient uptake; Rice; Sustainable agriculture. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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Marc: |
LEADER 01223nam a2200289 a 4500
001 2147598
005 2022-12-14
008 2022 bl uuuu u00u1 u #d
020 $a978-65-851-1101-0
100 1 $aFERNANDES, J. P. T.
245 $aPhysio-agronomic characterization of upland rice inoculated with mix of multifunctional microorganisms.$h[electronic resource]
260 $aIn: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 19., 2022, Iguassu Falls. Stepping forward to global nutrient use efficiency: proceedings. São Paulo: International Plant Nutrition Council$c2022
300 $ap. 20.
520 $aThe objective of this study was to determine the effect of bioagents applied alone or in mix on the performance of upland rice. The experiment was conducted in a greenhouse in a completely randomized design with four replications.
650 $aBeneficial microorganisms
650 $aNutrient uptake
650 $aRice
650 $aSustainable agriculture
650 $aAgricultura Sustentável
650 $aArroz
650 $aMicrorganismo
650 $aNutriente
650 $aTrichoderma
700 1 $aNASCENTE, A. S.
700 1 $aFILIPPI, M. C. C. de
700 1 $aLANNA, A. C.
700 1 $aSILVA, M. A.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
14/09/2018 |
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Data da última atualização: |
03/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BRAZ, C. E. M.; JACINTO, M. A. C.; PEREIRA FILHO, E. R.; SOUZA, G. B. de; NOGUEIRA, A. R. de A. |
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Afiliação: |
Carlos Eduardo M. Braz, UFSCar; MANUEL ANTONIO CHAGAS JACINTO, CPPSE; Edenir R. Pereira Filho, UFSCar; GILBERTO BATISTA DE SOUZA, CPPSE; ANA RITA DE ARAUJO NOGUEIRA, CPPSE. |
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Título: |
Potential of near-infrared spectroscopy for quality evaluation of cattle leather. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v.202, p.182-186, 2018. |
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DOI: |
https://doi.org/10.1016/j.saa.2018.05.025 |
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Idioma: |
Inglês |
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Conteúdo: |
Models using near-infrared spectroscopy (NIRS) were constructed based on physical-mechanical tests to determine the quality of cattle leather. The following official parameters were used, considering the industry requirements: tensile strength (TS), percentage elongation (%E), tear strength (TT), and double hole tear strength (DHS). Classification models were constructed with the use of k-nearest neighbor (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares?discriminant analysis (PLS-DA). The evaluated figures of merit, accuracy, sensitivity, and specificity presented results between 85% and 93%, and the false alarmrates from9% to 14%. The model with lowest validation percentage (92%) was kNN, and the highest was PLS-DA (100%). For TS, lower values were obtained, from 52% for kNN and 74% for SIMCA. The other parameters %E, TT, and DHS presented hit rates between 87 and 100%. The abilities of the models were similar, showing they can be used to predict the quality of cattle leather. |
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Palavras-Chave: |
Classification models; Leather quality; NIRS; Physical-mechanical parameters. |
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Thesagro: |
Couro. |
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Thesaurus NAL: |
Leather. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01837naa a2200253 a 4500
001 2095700
005 2019-01-03
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.saa.2018.05.025$2DOI
100 1 $aBRAZ, C. E. M.
245 $aPotential of near-infrared spectroscopy for quality evaluation of cattle leather.$h[electronic resource]
260 $c2018
520 $aModels using near-infrared spectroscopy (NIRS) were constructed based on physical-mechanical tests to determine the quality of cattle leather. The following official parameters were used, considering the industry requirements: tensile strength (TS), percentage elongation (%E), tear strength (TT), and double hole tear strength (DHS). Classification models were constructed with the use of k-nearest neighbor (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares?discriminant analysis (PLS-DA). The evaluated figures of merit, accuracy, sensitivity, and specificity presented results between 85% and 93%, and the false alarmrates from9% to 14%. The model with lowest validation percentage (92%) was kNN, and the highest was PLS-DA (100%). For TS, lower values were obtained, from 52% for kNN and 74% for SIMCA. The other parameters %E, TT, and DHS presented hit rates between 87 and 100%. The abilities of the models were similar, showing they can be used to predict the quality of cattle leather.
650 $aLeather
650 $aCouro
653 $aClassification models
653 $aLeather quality
653 $aNIRS
653 $aPhysical-mechanical parameters
700 1 $aJACINTO, M. A. C.
700 1 $aPEREIRA FILHO, E. R.
700 1 $aSOUZA, G. B. de
700 1 $aNOGUEIRA, A. R. de A.
773 $tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy$gv.202, p.182-186, 2018.
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Embrapa Pecuária Sudeste (CPPSE) |
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