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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
24/01/2020 |
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Data da última atualização: |
27/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
DANTAS, A. R.; PIEDADE, M. T. F.; GUEDES, M. C.; LIRA-GUEDES, A. C. |
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Afiliação: |
ADELSON ROCHA DANTAS, PPG EM ECOLOGIA, INPA; MARIA TERESA FERNANDEZ PIEDADE, INPA; MARCELINO CARNEIRO GUEDES, CPAF-AP; ANA CLAUDIA LIRA GUEDES, CPAF-AP. |
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Título: |
Phenology of Pentaclethra macroloba (Willd.) Kuntze (Fabaceae): hyperdominant tree of the Amazonian estuary. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, v. 39, e201902043, p.326, 2019. |
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Idioma: |
Inglês |
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Notas: |
Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba. |
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Conteúdo: |
Pentaclethra macroloba (pracaxizeiro) is a hyperdominant species of the Amazon estuary floodplain. The oil extracted from its seeds has medicinal properties. The effect of the polymodal flood cycle on the phenology of tree, including the pracaxizeiro, from Amazonian estuary is little known. The hypothesis that the flood pulse is the main factor that directs the phenological processes of the pracaxizeiro was tested. Reproductive and vegetative phenophases of 30 pracaxizeiro were monitored fortnight from September/2017 to September/2018, in the Environmental Protection Area of Fazendinha, Macapá, Brazil. Phenophases were correlated with maximum temperature (°C), precipitation (mm) and flood level (cm), using the Spearman correlation. There was positive correlation with temperature between flower buds (rs = 0.57) and flowers in anthesis (rs = 0.63), already with precipitation (buds: rs = -0.50, anthesis: rs = -0.53) and floods (buds: rs = -0.65, anthesis: rs = -0.69) correlations were negative. The correlation was positive between immature fruit with temperature (rs = 0.73) and negative with precipitation (rs = -0.64) and flood (rs = -0.57). Fruit ripening (rainfall: rs = 0.38, flood: rs = 0.50) and seed dispersal (rainfall: rs = 0.76, flood: rs = 0.81) occur in the rainy season and peak flood Amazon river. Leaf production and fall have low correlation with the abiotic variables tested. Flourish in the dry season prevents loss of floral resources due to torrential rains of the Amazon and maximizes pollination by insects. The flood pulse, together with precipitation, acts as a trigger in fruit ripening and seed dispersal. MenosPentaclethra macroloba (pracaxizeiro) is a hyperdominant species of the Amazon estuary floodplain. The oil extracted from its seeds has medicinal properties. The effect of the polymodal flood cycle on the phenology of tree, including the pracaxizeiro, from Amazonian estuary is little known. The hypothesis that the flood pulse is the main factor that directs the phenological processes of the pracaxizeiro was tested. Reproductive and vegetative phenophases of 30 pracaxizeiro were monitored fortnight from September/2017 to September/2018, in the Environmental Protection Area of Fazendinha, Macapá, Brazil. Phenophases were correlated with maximum temperature (°C), precipitation (mm) and flood level (cm), using the Spearman correlation. There was positive correlation with temperature between flower buds (rs = 0.57) and flowers in anthesis (rs = 0.63), already with precipitation (buds: rs = -0.50, anthesis: rs = -0.53) and floods (buds: rs = -0.65, anthesis: rs = -0.69) correlations were negative. The correlation was positive between immature fruit with temperature (rs = 0.73) and negative with precipitation (rs = -0.64) and flood (rs = -0.57). Fruit ripening (rainfall: rs = 0.38, flood: rs = 0.50) and seed dispersal (rainfall: rs = 0.76, flood: rs = 0.81) occur in the rainy season and peak flood Amazon river. Leaf production and fall have low correlation with the abiotic variables tested. Flourish in the dry season prevents loss of floral resources due to torrential rains of the ... Mostrar Tudo |
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Thesagro: |
Fisiologia Vegetal; Pentaclethra Macroloba; Pracaxi. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209563/1/CPAF-AP-2019-Phenology-Pentaclethra-macroloba.pdf
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Marc: |
LEADER 02331nam a2200193 a 4500
001 2119308
005 2020-01-27
008 2019 bl uuuu u00u1 u #d
100 1 $aDANTAS, A. R.
245 $aPhenology of Pentaclethra macroloba (Willd.) Kuntze (Fabaceae)$bhyperdominant tree of the Amazonian estuary.$h[electronic resource]
260 $aPesquisa Florestal Brasileira, v. 39, e201902043, p.326$c2019
500 $aEdição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.
520 $aPentaclethra macroloba (pracaxizeiro) is a hyperdominant species of the Amazon estuary floodplain. The oil extracted from its seeds has medicinal properties. The effect of the polymodal flood cycle on the phenology of tree, including the pracaxizeiro, from Amazonian estuary is little known. The hypothesis that the flood pulse is the main factor that directs the phenological processes of the pracaxizeiro was tested. Reproductive and vegetative phenophases of 30 pracaxizeiro were monitored fortnight from September/2017 to September/2018, in the Environmental Protection Area of Fazendinha, Macapá, Brazil. Phenophases were correlated with maximum temperature (°C), precipitation (mm) and flood level (cm), using the Spearman correlation. There was positive correlation with temperature between flower buds (rs = 0.57) and flowers in anthesis (rs = 0.63), already with precipitation (buds: rs = -0.50, anthesis: rs = -0.53) and floods (buds: rs = -0.65, anthesis: rs = -0.69) correlations were negative. The correlation was positive between immature fruit with temperature (rs = 0.73) and negative with precipitation (rs = -0.64) and flood (rs = -0.57). Fruit ripening (rainfall: rs = 0.38, flood: rs = 0.50) and seed dispersal (rainfall: rs = 0.76, flood: rs = 0.81) occur in the rainy season and peak flood Amazon river. Leaf production and fall have low correlation with the abiotic variables tested. Flourish in the dry season prevents loss of floral resources due to torrential rains of the Amazon and maximizes pollination by insects. The flood pulse, together with precipitation, acts as a trigger in fruit ripening and seed dispersal.
650 $aFisiologia Vegetal
650 $aPentaclethra Macroloba
650 $aPracaxi
700 1 $aPIEDADE, M. T. F.
700 1 $aGUEDES, M. C.
700 1 $aLIRA-GUEDES, A. C.
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Registro original: |
Embrapa Amapá (CPAF-AP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
24/04/2024 |
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Data da última atualização: |
30/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BAQUETA, M. R.; VALDERRAMA, P.; MANDRONE, M.; POLI, F.; COQUEIRO, A.; COSTA-SANTOS, A. C.; REBELLATO. A. A.; LUZ, G. M.; ROCHA, R. B.; PALLONE, J. A. L.; MARINI, F. |
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Afiliação: |
MICHEL ROCHA BAQUETA, UNIVERSIDADE DE CAMPINAS; PATRÍCIA VALDERRAMA UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; MANUELA MANDRONE, UNIVERSITY OF BOLOGNA; FERRUCCIO POLI UNIVERSITY OF BOLOGNA, UNIVERSITY OF BOLOGNA; ALINE COQUEIRO, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; AUGUSTO CESAR COSTA-SANTOS, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANA PAULA REBELLATO, UNIVERSIDADE ESTADUAL DE CAMPINAS; GISELE MARCONDES LUZ, UNIVERSIDADE ESTADUAL DE CAMPINAS; RODRIGO BARROS ROCHA, CPAF-RO; JULIANA AZEVEDO LIMA PALLONE, UNIVERSIDADE ESTADUAL DE CAMPINAS; FEDERICO MARINI, UNIVERSITY OF ROME. |
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Título: |
H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Chemometrics and Intelligent Laboratory Systems, v. 240, 2023. |
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Idioma: |
Inglês |
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Conteúdo: |
Different analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly discriminated with the exception of two Robusta Amazonico from non-indigenous producers and two Conilon from Espírito Santo, indicating that very accurate results can be obtained also using a portable instrument. Finally, the use of CovSel- DA allowed the discrimination to be optimized on the most cost-effective analytical technique (portable NIR). CovSel-LDA models selected the best variables for benchtop and portable NIR, impacting positively portable NIR performance and suggesting that portable NIR could bring comparable or at least only slightly worse perfor- mance than benchtop NIR for discrimination. MenosDifferent analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly... Mostrar Tudo |
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Palavras-Chave: |
Coffee; Conilon; Data fusio; Fine Amazonian Robusta coffee; Multi-block. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163879/1/2-Baqueta-Chemolab-2023-AINFO.pdf
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Marc: |
LEADER 03054naa a2200301 a 4500
001 2163879
005 2024-04-30
008 2023 bl uuuu u00u1 u #d
100 1 $aBAQUETA, M. R.
245 $aH NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective.$h[electronic resource]
260 $c2023
520 $aDifferent analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly discriminated with the exception of two Robusta Amazonico from non-indigenous producers and two Conilon from Espírito Santo, indicating that very accurate results can be obtained also using a portable instrument. Finally, the use of CovSel- DA allowed the discrimination to be optimized on the most cost-effective analytical technique (portable NIR). CovSel-LDA models selected the best variables for benchtop and portable NIR, impacting positively portable NIR performance and suggesting that portable NIR could bring comparable or at least only slightly worse perfor- mance than benchtop NIR for discrimination.
653 $aCoffee
653 $aConilon
653 $aData fusio
653 $aFine Amazonian Robusta coffee
653 $aMulti-block
700 1 $aVALDERRAMA, P.
700 1 $aMANDRONE, M.
700 1 $aPOLI, F.
700 1 $aCOQUEIRO, A.
700 1 $aCOSTA-SANTOS, A. C.
700 1 $aREBELLATO. A. A.
700 1 $aLUZ, G. M.
700 1 $aROCHA, R. B.
700 1 $aPALLONE, J. A. L.
700 1 $aMARINI, F.
773 $tChemometrics and Intelligent Laboratory Systems$gv. 240, 2023.
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Embrapa Rondônia (CPAF-RO) |
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