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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
12/01/2017 |
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Data da última atualização: |
06/05/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MELO, G. W. B. de; SETE, P. B.; AMBROSINI, V. G.; FREITAS, R. F.; BASSO, A.; BRUNETTO, G. |
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Afiliação: |
GEORGE WELLINGTON BASTOS DE MELO, CNPUV; Paula Beatriz Sete, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil. 3Universidade Estadual do Rio Grande do Sul, Bento Gonçalves, Rio Grande do Sul, Brazil; Vitor Gabriel Ambrosini, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil; Rafael Fernando Freitas, Universidade Estadual do Rio Grande do Sul, Bento Gonçalves, Rio Grande do Sul, Brazil; Alex Basso, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.; Gustavo Brunetto, 4Universidade Federal de Santa Maria, Avenida Roraima, 1000, 97105-900, Santa Maria, Rio Grande do Sul, Brazil. |
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Título: |
Nutritional status, yield and composition of peach fruit subjected to the application of organic compost. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Acta Scientiarum, v. 38, n. 1. p. 103-109, Jan./Mar. 2016. |
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DOI: |
10.4025/actasciagron.v38i1.25638 |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this study was to evaluate the nutritional state, yield and composition of peaches on peach trees subjected to the application of organic compost to the soil. This experiment was conducted during the 2008 and 2009 cropping season in an orchard containing Chimarrita cultivars grafted onto Capdeboscq rootstocks and Haplumbrept soils in the municipality of Farroupilha (Rio Grande do Sul State), Brazil. The treatments included 0, 9, 18, 36, 72 and 144 liters of organic compost per plant-1 year-1. The total nutrient contents in the leaves, yield components, yields per plant and hectare and compositions of the fruits were evaluated in 2008 and 2009 soon after harvest and after 30 days of storage. The application of organic compost to the soil increased the yield components and the yields per plant and hectare in the two treatments with the highest compost additions, which indicated that the addition of 72 L of compost per plant-1 is ideal economically. The organic compost had little effect on the composition of the peach fruit after harvest and after 30 days of storage. Keywords: mineral nutrition, organic waste, Prunus persica. Estado nutricional, produção e composição de frutos de pessegueiros submetidos à aplicação de composto orgânico O objetivo do trabalho foi avaliar o estado nutricional, produção e composição de pêssegos em pessegueiros submetidos à aplicação de composto orgânico no solo. O experimento foi conduzido, na safra 2008 e 2009, em um pomar da cultivar Chimarrita, enxertada sobre o porta-enxerto Capdeboscq e cultivadas em um solo Cambissolo Húmico, no município de Farroupilha (Estado do Rio Grande do Sul). Os tratamentos foram 0, 9, 18, 36, 72 e 144 litros de composto orgânico por planta-1 ano-1. Avaliou-se o teor de nutrientes totais nas folhas, componentes de produção, produção por planta e hectare e a composição dos frutos em 2008 e 2009, logo depois da colheita e 30 dias após armazenamento. A aplicação de composto orgânico no solo, aumenta os valores de componentes de produção e a produção de pêssego por planta e hectare, nas duas maiores quantidades de composto fornecidas, o que economicamente indica a melhor dose de 72 L de composto por planta-1. A adição de composto orgânico na superfície do solo não afeta o estado nutricional e pouco afeta a composição dos pêssegos após a colheita e depois de 30 dias do armazenamento. Palavras-chave: nutrição mineral, resíduos orgânicos, Prunus persica. MenosThe purpose of this study was to evaluate the nutritional state, yield and composition of peaches on peach trees subjected to the application of organic compost to the soil. This experiment was conducted during the 2008 and 2009 cropping season in an orchard containing Chimarrita cultivars grafted onto Capdeboscq rootstocks and Haplumbrept soils in the municipality of Farroupilha (Rio Grande do Sul State), Brazil. The treatments included 0, 9, 18, 36, 72 and 144 liters of organic compost per plant-1 year-1. The total nutrient contents in the leaves, yield components, yields per plant and hectare and compositions of the fruits were evaluated in 2008 and 2009 soon after harvest and after 30 days of storage. The application of organic compost to the soil increased the yield components and the yields per plant and hectare in the two treatments with the highest compost additions, which indicated that the addition of 72 L of compost per plant-1 is ideal economically. The organic compost had little effect on the composition of the peach fruit after harvest and after 30 days of storage. Keywords: mineral nutrition, organic waste, Prunus persica. Estado nutricional, produção e composição de frutos de pessegueiros submetidos à aplicação de composto orgânico O objetivo do trabalho foi avaliar o estado nutricional, produção e composição de pêssegos em pessegueiros submetidos à aplicação de composto orgânico no solo. O experimento foi conduzido, na safra 2008 e 2009, em um pomar da culti... Mostrar Tudo |
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Palavras-Chave: |
Nutrição mineral; Resíduos orgânicos. |
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Thesagro: |
Prunus Persica. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153260/1/Nutritional-status-yield.....pdf
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Marc: |
LEADER 03229naa a2200229 a 4500
001 2060640
005 2019-05-06
008 2016 bl uuuu u00u1 u #d
024 7 $a10.4025/actasciagron.v38i1.25638$2DOI
100 1 $aMELO, G. W. B. de
245 $aNutritional status, yield and composition of peach fruit subjected to the application of organic compost.$h[electronic resource]
260 $c2016
520 $aThe purpose of this study was to evaluate the nutritional state, yield and composition of peaches on peach trees subjected to the application of organic compost to the soil. This experiment was conducted during the 2008 and 2009 cropping season in an orchard containing Chimarrita cultivars grafted onto Capdeboscq rootstocks and Haplumbrept soils in the municipality of Farroupilha (Rio Grande do Sul State), Brazil. The treatments included 0, 9, 18, 36, 72 and 144 liters of organic compost per plant-1 year-1. The total nutrient contents in the leaves, yield components, yields per plant and hectare and compositions of the fruits were evaluated in 2008 and 2009 soon after harvest and after 30 days of storage. The application of organic compost to the soil increased the yield components and the yields per plant and hectare in the two treatments with the highest compost additions, which indicated that the addition of 72 L of compost per plant-1 is ideal economically. The organic compost had little effect on the composition of the peach fruit after harvest and after 30 days of storage. Keywords: mineral nutrition, organic waste, Prunus persica. Estado nutricional, produção e composição de frutos de pessegueiros submetidos à aplicação de composto orgânico O objetivo do trabalho foi avaliar o estado nutricional, produção e composição de pêssegos em pessegueiros submetidos à aplicação de composto orgânico no solo. O experimento foi conduzido, na safra 2008 e 2009, em um pomar da cultivar Chimarrita, enxertada sobre o porta-enxerto Capdeboscq e cultivadas em um solo Cambissolo Húmico, no município de Farroupilha (Estado do Rio Grande do Sul). Os tratamentos foram 0, 9, 18, 36, 72 e 144 litros de composto orgânico por planta-1 ano-1. Avaliou-se o teor de nutrientes totais nas folhas, componentes de produção, produção por planta e hectare e a composição dos frutos em 2008 e 2009, logo depois da colheita e 30 dias após armazenamento. A aplicação de composto orgânico no solo, aumenta os valores de componentes de produção e a produção de pêssego por planta e hectare, nas duas maiores quantidades de composto fornecidas, o que economicamente indica a melhor dose de 72 L de composto por planta-1. A adição de composto orgânico na superfície do solo não afeta o estado nutricional e pouco afeta a composição dos pêssegos após a colheita e depois de 30 dias do armazenamento. Palavras-chave: nutrição mineral, resíduos orgânicos, Prunus persica.
650 $aPrunus Persica
653 $aNutrição mineral
653 $aResíduos orgânicos
700 1 $aSETE, P. B.
700 1 $aAMBROSINI, V. G.
700 1 $aFREITAS, R. F.
700 1 $aBASSO, A.
700 1 $aBRUNETTO, G.
773 $tActa Scientiarum$gv. 38, n. 1. p. 103-109, Jan./Mar. 2016.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
18/01/2017 |
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Data da última atualização: |
17/01/2018 |
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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: |
MALEGORI, C.; MARQUES, E. J. N.; FREITAS, S. T. de; PIMENTEL, M. F.; PASQUINI, C.; CASIRAGHI, E. |
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Afiliação: |
CRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; MARIA FERNANDA PIMENTEL, UFPE; CELIO PASQUINI, Institute of Chemistry, University of Campinas, Campinas (SP); ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy. |
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Título: |
Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Talanta, v. 165, 112-116, 2017. |
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DOI: |
10.1016/j.talanta.2016.12.035 |
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Idioma: |
Inglês |
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Conteúdo: |
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits. MenosThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of... Mostrar Tudo |
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Palavras-Chave: |
Máquinas vector de suporte; MicroNIR; Partial Least Squares (PLS); Passing-Bablok regre; Regressão de Passo-Bablok; Support Vector Machines (SVM). |
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Thesagro: |
Acerola; Acidez; Maturação; Vitamina C. |
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Thesaurus NAL: |
Malpighia emarginata. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02552naa a2200325 a 4500
001 2061108
005 2018-01-17
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1016/j.talanta.2016.12.035$2DOI
100 1 $aMALEGORI, C.
245 $aComparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.$h[electronic resource]
260 $c2017
520 $aThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits.
650 $aMalpighia emarginata
650 $aAcerola
650 $aAcidez
650 $aMaturação
650 $aVitamina C
653 $aMáquinas vector de suporte
653 $aMicroNIR
653 $aPartial Least Squares (PLS)
653 $aPassing-Bablok regre
653 $aRegressão de Passo-Bablok
653 $aSupport Vector Machines (SVM)
700 1 $aMARQUES, E. J. N.
700 1 $aFREITAS, S. T. de
700 1 $aPIMENTEL, M. F.
700 1 $aPASQUINI, C.
700 1 $aCASIRAGHI, E.
773 $tTalanta$gv. 165, 112-116, 2017.
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