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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
18/01/2016 |
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Data da última atualização: |
18/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMBO, M. K. D.; FERREIRA, M. M. C.; AMORIM, E. P. |
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Afiliação: |
M. K. D. RAMBO, UFT; M. M. C. FERREIRA, UNICAMP; EDSON PERITO AMORIM, CNPMF. |
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Título: |
Multi-product calibration models using NIR spectroscopy. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Chemometrics and Intelligent Laboratory Systems, n. 151, p.108?114, 201 6. |
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ISSN: |
0169-7439 |
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DOI: |
10.1016/j.chemolab.2015.12.013 |
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Idioma: |
Inglês |
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Conteúdo: |
The physical-chemical composition of multiple biomasses can be predicted from one single calibration model instead of compositional prediction conducted by individual models. In this work, multi-product models, involving banana, coffee and coconut samples were built by partial least square regression (PLS) for ten different chemical constituents (total lignin, klason lignin, acid insoluble lignin, acid soluble lignin, extractives, moisture, ash, glucose, xylose and total sugars). The developed PLS models show satisfactory results, with relative error (RE%) less than 20.00, except for ash and xylose models; ratio performance deviation (RPD) values above than 4.4 and range error ratio (RER) values above 4.00. This means that all models are qualified for screening calibration. Principal component analysis (PCA) was useful to demonstrate the possibility and the rationale for combining three biomass residues into one calibration model. The results have shown the potential of NIR in combination with chemometrics to quantify the chemical composition of feedstocks. |
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Palavras-Chave: |
Coffee. |
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Thesagro: |
Banana; Café; Coco; Composição quimíca. |
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Thesaurus Nal: |
Chemical composition; Coconuts. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01784naa a2200253 a 4500
001 2034148
005 2023-05-18
008 2016 bl uuuu u00u1 u #d
022 $a0169-7439
024 7 $a10.1016/j.chemolab.2015.12.013$2DOI
100 1 $aRAMBO, M. K. D.
245 $aMulti-product calibration models using NIR spectroscopy.$h[electronic resource]
260 $c2016
520 $aThe physical-chemical composition of multiple biomasses can be predicted from one single calibration model instead of compositional prediction conducted by individual models. In this work, multi-product models, involving banana, coffee and coconut samples were built by partial least square regression (PLS) for ten different chemical constituents (total lignin, klason lignin, acid insoluble lignin, acid soluble lignin, extractives, moisture, ash, glucose, xylose and total sugars). The developed PLS models show satisfactory results, with relative error (RE%) less than 20.00, except for ash and xylose models; ratio performance deviation (RPD) values above than 4.4 and range error ratio (RER) values above 4.00. This means that all models are qualified for screening calibration. Principal component analysis (PCA) was useful to demonstrate the possibility and the rationale for combining three biomass residues into one calibration model. The results have shown the potential of NIR in combination with chemometrics to quantify the chemical composition of feedstocks.
650 $aChemical composition
650 $aCoconuts
650 $aBanana
650 $aCafé
650 $aCoco
650 $aComposição quimíca
653 $aCoffee
700 1 $aFERREIRA, M. M. C.
700 1 $aAMORIM, E. P.
773 $tChemometrics and Intelligent Laboratory Systems$gn. 151, p.108?114, 201 6.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
05/03/2024 |
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Data da última atualização: |
11/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
GUIMARÃES-CESTARO, L.; SERRÃO, J. E.; MARTINS, M. F.; MARTÍNEZ, L. C.; ALVES, M. L. T. M. F.; LAZZARINI, K. R. G.; NOCELLI, R. C. F.; MALASPINA, O.; EVANS, J. D.; TEIXEIRA, E. W. |
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Afiliação: |
LUBIANE GUIMARÃES-CESTARO, UNIVERSIDADE FEDERAL DE VIÇOSA; JOSÉ EDUARDO SERRÃO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARTA FONSECA MARTINS, CNPGL; LUIS CARLOS MARTÍNEZ, UNIVERSIDADE FEDERAL DE VIÇOSA; MARIA LUISA TELES MARQUES FLORÊNCIO ALVES, AGÊNCIA PAULISTA DE TECNOLOGIA DOS AGRONEGÓCIOS; KARINA ROSA GUIDUGLI LAZZARINI, UNIVERSIDADE DE SÃO PAULO; ROBERTA CORNÉLIO FERREIRA NOCELLI, UNIVERSIDADE FEDERAL DE SÃO CARLOS; OSMAR MALASPINA, UNIVERSIDADE ESTADUAL PAULISTA; JAY DANIEL EVANS, BEE RESEARCH LAB; ERICA WEINSTEIN TEIXEIRA, AGÊNCIA PAULISTA DE TECNOLOGIA DOS AGRONEGÓCIOS. |
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Título: |
Viruses, microsporidia and glyphosate residues in Africanized honey bees Apis mellifera, under field conditions. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Journal of Apicultural Research, v. 63, n. 2, p. 245-255, 2024. |
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DOI: |
https://doi.org/10.1080/00218839.2024.2307765 |
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Idioma: |
Inglês |
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Conteúdo: |
Bees are affected by several factors, including pathogens and pesticides, which may cause mortality and consequent population decline. Considering the ecological and economic importance of these pollinators, this study evaluated the occurrence of the microsporidia Nosema apis and Nosema ceranae, the viruses ABVP, DWV, BQCV, KBV, IAPV and CBPV and residues of the pesticides atrazine, chlorantraniliprole, deltamethrin, fipronil and glyphosate in workers from field colonies of Africanized honey bee Apis mellifera across one year. The presence of pesticide residues was also evaluated in honey and pollen samples. All tested viruses were found in the workers, with BQCV showing the highest copy number. BQCV levels were correlated with relative humidity. Nosema ceranae was the only microsporidian with higher intensities of infection during summer and autumn; seasons with high availability of food resources, which can act as dispersers of this pathogen. Small amounts of glyphosate and its metabolite were detected in the bees tested. These data show that honey bees are contaminated with pathogens and pesticides in the field and present correlative data for these threats. |
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Palavras-Chave: |
Rainha negra; Vírus da célula. |
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Thesagro: |
Abelha Africana; Mel; Patógeno; Pesticida; Vírus. |
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Thesaurus NAL: |
Black queen cell virus; Honey bees; Nosema; Pathogens; Pesticides. |
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Categoria do assunto: |
O Insetos e Entomologia |
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Marc: |
LEADER 02303naa a2200385 a 4500
001 2162594
005 2024-04-11
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/00218839.2024.2307765$2DOI
100 1 $aGUIMARÃES-CESTARO, L.
245 $aViruses, microsporidia and glyphosate residues in Africanized honey bees Apis mellifera, under field conditions.$h[electronic resource]
260 $c2024
520 $aBees are affected by several factors, including pathogens and pesticides, which may cause mortality and consequent population decline. Considering the ecological and economic importance of these pollinators, this study evaluated the occurrence of the microsporidia Nosema apis and Nosema ceranae, the viruses ABVP, DWV, BQCV, KBV, IAPV and CBPV and residues of the pesticides atrazine, chlorantraniliprole, deltamethrin, fipronil and glyphosate in workers from field colonies of Africanized honey bee Apis mellifera across one year. The presence of pesticide residues was also evaluated in honey and pollen samples. All tested viruses were found in the workers, with BQCV showing the highest copy number. BQCV levels were correlated with relative humidity. Nosema ceranae was the only microsporidian with higher intensities of infection during summer and autumn; seasons with high availability of food resources, which can act as dispersers of this pathogen. Small amounts of glyphosate and its metabolite were detected in the bees tested. These data show that honey bees are contaminated with pathogens and pesticides in the field and present correlative data for these threats.
650 $aBlack queen cell virus
650 $aHoney bees
650 $aNosema
650 $aPathogens
650 $aPesticides
650 $aAbelha Africana
650 $aMel
650 $aPatógeno
650 $aPesticida
650 $aVírus
653 $aRainha negra
653 $aVírus da célula
700 1 $aSERRÃO, J. E.
700 1 $aMARTINS, M. F.
700 1 $aMARTÍNEZ, L. C.
700 1 $aALVES, M. L. T. M. F.
700 1 $aLAZZARINI, K. R. G.
700 1 $aNOCELLI, R. C. F.
700 1 $aMALASPINA, O.
700 1 $aEVANS, J. D.
700 1 $aTEIXEIRA, E. W.
773 $tJournal of Apicultural Research$gv. 63, n. 2, p. 245-255, 2024.
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