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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
21/11/2019 |
Data da última atualização: |
17/04/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
RIBEIRO, B. S.; FREITAS, S. T. de. |
Afiliação: |
BRUNA SILVA RIBEIRO; SERGIO TONETTO DE FREITAS, CPATSA. |
Título: |
Maturity stage at harvest and storage temperature to maintain postharvest quality of acerola fruit. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Scientia Horticulturae, v. 260, jan. 2020. |
DOI: |
10.1016/j.scienta.2019.108901 |
Idioma: |
Inglês |
Conteúdo: |
Acerola (Malpighia emarginata D.C.) is native to Central and Northern South America and is considered a superfruit due to its high vitamin C content. Acerola postharvest life is highly dependent on the maturity stage at harvest and storage temperatures. The objectives of this study were to determine the ideal harvest maturity and storage temperature for 'Flor Branca' and 'Junko' acerolas produced in the São Francisco Valley in the Northeast of Brazil. Acerolas 'Flor Branca' and 'Junko' were harvested at maturity stages green (green skin color at 18 days after full bloom), turning (initial skin color changes from green to red at 20 days after full bloom) and red (red skin color at 22 days after full bloom) and were stored at 8, 10 and 12 °C with RH of 90?95% for 14 days. Green fruit with density lower than 1 g cm−3 were used due to the capacity to change skin color from green to red after harvest. Fruit harvested at maturity stage green showed better storage potential than fruit harvested at more advanced stages. Storage temperatures of 10 °C for 'Flor Branca' and 12 °C for ?Junko? acerolas harvested at maturity stage green maintained fruit quality without chilling injury, keeping the fruit greener with higher ascorbic acid content and flesh firmness during 14 days of storage. Lower storage temperatures resulted in chilling injury incidence in ?Flor Branca? and ?Junco? acerolas. In both acerola cultivars, harvest at maturity stage green resulted in lower fruit decay incidence and weight loss during 14 days of storage. According to the results, ?Flor Branca? and ?Junco? acerolas should be harvested the maturity stage green with density lower than 1 g cm−3 and stored at 10 °C and 12 °C, respectively, in order to maintain high fruit quality. MenosAcerola (Malpighia emarginata D.C.) is native to Central and Northern South America and is considered a superfruit due to its high vitamin C content. Acerola postharvest life is highly dependent on the maturity stage at harvest and storage temperatures. The objectives of this study were to determine the ideal harvest maturity and storage temperature for 'Flor Branca' and 'Junko' acerolas produced in the São Francisco Valley in the Northeast of Brazil. Acerolas 'Flor Branca' and 'Junko' were harvested at maturity stages green (green skin color at 18 days after full bloom), turning (initial skin color changes from green to red at 20 days after full bloom) and red (red skin color at 22 days after full bloom) and were stored at 8, 10 and 12 °C with RH of 90?95% for 14 days. Green fruit with density lower than 1 g cm−3 were used due to the capacity to change skin color from green to red after harvest. Fruit harvested at maturity stage green showed better storage potential than fruit harvested at more advanced stages. Storage temperatures of 10 °C for 'Flor Branca' and 12 °C for ?Junko? acerolas harvested at maturity stage green maintained fruit quality without chilling injury, keeping the fruit greener with higher ascorbic acid content and flesh firmness during 14 days of storage. Lower storage temperatures resulted in chilling injury incidence in ?Flor Branca? and ?Junco? acerolas. In both acerola cultivars, harvest at maturity stage green resulted in lower fruit decay inc... Mostrar Tudo |
Palavras-Chave: |
Amadurecimento; Lesão por refrigeração; Super-fruta; Vale do São Francisco. |
Thesagro: |
Acerola; Armazenamento; Pós-Colheita; Vitamina C. |
Thesaurus Nal: |
Malpighia emarginata. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205142/1/Maturity-stage-at-harvest-and-storage-2020.pdf
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Marc: |
LEADER 02547naa a2200253 a 4500 001 2114806 005 2020-04-17 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1016/j.scienta.2019.108901$2DOI 100 1 $aRIBEIRO, B. S. 245 $aMaturity stage at harvest and storage temperature to maintain postharvest quality of acerola fruit.$h[electronic resource] 260 $c2020 520 $aAcerola (Malpighia emarginata D.C.) is native to Central and Northern South America and is considered a superfruit due to its high vitamin C content. Acerola postharvest life is highly dependent on the maturity stage at harvest and storage temperatures. The objectives of this study were to determine the ideal harvest maturity and storage temperature for 'Flor Branca' and 'Junko' acerolas produced in the São Francisco Valley in the Northeast of Brazil. Acerolas 'Flor Branca' and 'Junko' were harvested at maturity stages green (green skin color at 18 days after full bloom), turning (initial skin color changes from green to red at 20 days after full bloom) and red (red skin color at 22 days after full bloom) and were stored at 8, 10 and 12 °C with RH of 90?95% for 14 days. Green fruit with density lower than 1 g cm−3 were used due to the capacity to change skin color from green to red after harvest. Fruit harvested at maturity stage green showed better storage potential than fruit harvested at more advanced stages. Storage temperatures of 10 °C for 'Flor Branca' and 12 °C for ?Junko? acerolas harvested at maturity stage green maintained fruit quality without chilling injury, keeping the fruit greener with higher ascorbic acid content and flesh firmness during 14 days of storage. Lower storage temperatures resulted in chilling injury incidence in ?Flor Branca? and ?Junco? acerolas. In both acerola cultivars, harvest at maturity stage green resulted in lower fruit decay incidence and weight loss during 14 days of storage. According to the results, ?Flor Branca? and ?Junco? acerolas should be harvested the maturity stage green with density lower than 1 g cm−3 and stored at 10 °C and 12 °C, respectively, in order to maintain high fruit quality. 650 $aMalpighia emarginata 650 $aAcerola 650 $aArmazenamento 650 $aPós-Colheita 650 $aVitamina C 653 $aAmadurecimento 653 $aLesão por refrigeração 653 $aSuper-fruta 653 $aVale do São Francisco 700 1 $aFREITAS, S. T. de 773 $tScientia Horticulturae$gv. 260, jan. 2020.
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
18/09/2008 |
Data da última atualização: |
18/09/2008 |
Autoria: |
CLUZEAU, D.; PÉRES, G.; CANNAVACCIUOLO, M.; BELLIDO, A.; GUERNION, M. RUIZ, N.; CORTET, J.; MATEILLE, T.; MARTIN-LAURENT, F.; VELASQUEZ, E.; MERCIER, V.; BISPO, A.; VILLENAVE, C.; RANJARD, L.; CHAUSSOD, R.; ROUGÉ, l.; JOLIVET, C.; LERMERCIER-FOUCAULT, B.; PONGE, J. F. |
Título: |
How to manage and analyse a large biodiversity data set: the case of the regional "RMQS BioDiv" experience ? |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM. |
Idioma: |
Inglês |
Conteúdo: |
?RMQS BioDiv? is a pilot program which values biological components of Armorican soils
(Brittany region, France). Several biological groups, such as all macro-invertebrates,
earthworms, acari, collembola, nematodes, microflora, and also some activity index are
studied. This program is linked to the national French Soil Quality Measurement Network
(classical RMQS) and both generate a large data set according to an important grid sampling
scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in
order to highlight the indicative value of structural and functional soil biodiversity and its
relationship with environmental variables. To reach this aim, an analytical methodology for
data treatment was constructed following a hierarchical scheme composed of successive
steps. In a first step, the data set of each biological group was analysed independently by
the means of descriptive and exploratory statistics. In a second step, global analyses were
conducted on the whole soil biological dataset. These analyses included correlations between
taxa, descriptors of biological diversity, community pattern descriptions and multivariate
analyses. In a third step, environmental factors, which could influence soil biota variability
(distribution/heterogeneity), were integrated into the analysis. Potential explicative variables
within pedological characteristics, physical and chemical properties, land use and
management practices were assessed to explain the community structures. For that, landscape,
environmental and agronomical typologies of the sampled sites were first performed.
Then, the relationships between soil biological components and potential explicative variables
were investigated by using multivariate and multitable approaches. Furthermore, the spatial
variability analysis was ensured by the grid sampling scheme, thus informed whether soil
biodiversity displayed spatial patterns at the regional scale and how these patterns were
related to the site characteristics. Finally, the relevance of this analytical approach and the
results will be discussed with respect to ENVASSO recommendations (data analysis, results
representation ?). Menos?RMQS BioDiv? is a pilot program which values biological components of Armorican soils
(Brittany region, France). Several biological groups, such as all macro-invertebrates,
earthworms, acari, collembola, nematodes, microflora, and also some activity index are
studied. This program is linked to the national French Soil Quality Measurement Network
(classical RMQS) and both generate a large data set according to an important grid sampling
scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in
order to highlight the indicative value of structural and functional soil biodiversity and its
relationship with environmental variables. To reach this aim, an analytical methodology for
data treatment was constructed following a hierarchical scheme composed of successive
steps. In a first step, the data set of each biological group was analysed independently by
the means of descriptive and exploratory statistics. In a second step, global analyses were
conducted on the whole soil biological dataset. These analyses included correlations between
taxa, descriptors of biological diversity, community pattern descriptions and multivariate
analyses. In a third step, environmental factors, which could influence soil biota variability
(distribution/heterogeneity), were integrated into the analysis. Potential explicative variables
within pedological characteristics, physical and chemical properties, land use and
management practices were assessed to explain the c... Mostrar Tudo |
Categoria do assunto: |
-- |
Marc: |
LEADER 03355naa a2200325 a 4500 001 1314865 005 2008-09-18 008 2008 bl uuuu u00u1 u #d 100 1 $aCLUZEAU, D. 245 $aHow to manage and analyse a large biodiversity data set$bthe case of the regional "RMQS BioDiv" experience ? 260 $c2008 520 $a?RMQS BioDiv? is a pilot program which values biological components of Armorican soils (Brittany region, France). Several biological groups, such as all macro-invertebrates, earthworms, acari, collembola, nematodes, microflora, and also some activity index are studied. This program is linked to the national French Soil Quality Measurement Network (classical RMQS) and both generate a large data set according to an important grid sampling scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in order to highlight the indicative value of structural and functional soil biodiversity and its relationship with environmental variables. To reach this aim, an analytical methodology for data treatment was constructed following a hierarchical scheme composed of successive steps. In a first step, the data set of each biological group was analysed independently by the means of descriptive and exploratory statistics. In a second step, global analyses were conducted on the whole soil biological dataset. These analyses included correlations between taxa, descriptors of biological diversity, community pattern descriptions and multivariate analyses. In a third step, environmental factors, which could influence soil biota variability (distribution/heterogeneity), were integrated into the analysis. Potential explicative variables within pedological characteristics, physical and chemical properties, land use and management practices were assessed to explain the community structures. For that, landscape, environmental and agronomical typologies of the sampled sites were first performed. Then, the relationships between soil biological components and potential explicative variables were investigated by using multivariate and multitable approaches. Furthermore, the spatial variability analysis was ensured by the grid sampling scheme, thus informed whether soil biodiversity displayed spatial patterns at the regional scale and how these patterns were related to the site characteristics. Finally, the relevance of this analytical approach and the results will be discussed with respect to ENVASSO recommendations (data analysis, results representation ?). 700 1 $aPÉRES, G. 700 1 $aCANNAVACCIUOLO, M. 700 1 $aBELLIDO, A. 700 1 $aGUERNION, M. RUIZ, N. 700 1 $aCORTET, J. 700 1 $aMATEILLE, T. 700 1 $aMARTIN-LAURENT, F. 700 1 $aVELASQUEZ, E. 700 1 $aMERCIER, V. 700 1 $aBISPO, A. 700 1 $aVILLENAVE, C. 700 1 $aRANJARD, L. 700 1 $aCHAUSSOD, R. 700 1 $aROUGÉ, l. 700 1 $aJOLIVET, C. 700 1 $aLERMERCIER-FOUCAULT, B. 700 1 $aPONGE, J. F. 773 $tIn: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM.
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