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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Semiárido. |
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Data corrente: |
21/02/2018 |
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Data da última atualização: |
29/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, T. de L.; NUNES, A. B. A.; GIONGO, V.; BARROS, V. da S.; FIGUEIREDO, M. C. B. de. |
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Afiliação: |
Tayane de Lima Santos, Universidade Federal do Ceará; Ana Barbara Araújo Nunes, Universidade Federal do Ceará; VANDERLISE GIONGO, CPATSA; Viviane da Silva Barros, Embrapa Agroindústria Tropical; MARIA CLEA BRITO DE FIGUEIREDO, CNPAT. |
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Título: |
Cleaner fruit production with green manure: The case of Brazilian melons. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Cleaner Production, v. 181, p. 260-270, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
Cleaner fruit production has become important for producers worldwide because consumers and retail companies increasingly base their purchase decisions on environmental criteria. Green manure is a soil management practice that promotes soil nutrient enrichment and may improve crop yield. Nonetheless, the environmental impacts and economic analysis of combined green manure and tropical fruit production have not been performed. This work assesses the environmental impacts and profits resulting from the Brazilian melon, commercialized in Brazil. Melon production is analyzed under two cultivation systems: i) the conventional form practiced by farmers located in the S~ao Francisco Valley region, Brazil, and ii) the conservationist system, based on a green manure experiment carried out in this same region. This study applies life cycle assessment to evaluate the environmental impacts of both systems, considering farm inputs production and transportation (energy power, fertilizers, pesticides, plastic, paper, and fuel) as well as melon production and transportation to the main national distribution market in S~ao Paulo. The impact categories evaluated are climate change, soil acidification, freshwater and marine eutrophication, water depletion, human toxicity (cancer and non-cancer), and ecotoxicity. Scenario analysis is applied to assess impacts under different designed conditions for transportation, packing, and nitrogen fertilization. The profit analysis is performed by reducing the total production costs (inputs and services) from the revenue obtained from selling melons. Results indicate that the conservationist system causes lower impacts and lead to higher profit than the conventional system, for all assessed categories. The scenario analysis confirms that impacts can be further reduced in all categories when alternative melon transportation and fertilization practices are adopted. This work demonstrates that the environmental performance of Brazilian melon production can be improved with the addition of green manure and alternative transportation practices. MenosCleaner fruit production has become important for producers worldwide because consumers and retail companies increasingly base their purchase decisions on environmental criteria. Green manure is a soil management practice that promotes soil nutrient enrichment and may improve crop yield. Nonetheless, the environmental impacts and economic analysis of combined green manure and tropical fruit production have not been performed. This work assesses the environmental impacts and profits resulting from the Brazilian melon, commercialized in Brazil. Melon production is analyzed under two cultivation systems: i) the conventional form practiced by farmers located in the S~ao Francisco Valley region, Brazil, and ii) the conservationist system, based on a green manure experiment carried out in this same region. This study applies life cycle assessment to evaluate the environmental impacts of both systems, considering farm inputs production and transportation (energy power, fertilizers, pesticides, plastic, paper, and fuel) as well as melon production and transportation to the main national distribution market in S~ao Paulo. The impact categories evaluated are climate change, soil acidification, freshwater and marine eutrophication, water depletion, human toxicity (cancer and non-cancer), and ecotoxicity. Scenario analysis is applied to assess impacts under different designed conditions for transportation, packing, and nitrogen fertilization. The profit analysis is performed by reducing... Mostrar Tudo |
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Palavras-Chave: |
Avaliação de impacto ambiental; Avaliação do ciclo de vida; Avaliação econômica; Economic evaluation; Environmental impact assessment; Rotação de colheitas. |
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Thesagro: |
Colheita; Cucumis Melo; Custo de Produção; Impacto Ambiental; Melão. |
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Thesaurus Nal: |
Crop rotation; Economic costs; Environmental impact statements; Life cycle assessment. |
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Categoria do assunto: |
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F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/177376/1/ART18007.pdf
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Marc: |
LEADER 03155naa a2200349 a 4500
001 2090385
005 2019-01-29
008 2018 bl uuuu u00u1 u #d
100 1 $aSANTOS, T. de L.
245 $aCleaner fruit production with green manure$bThe case of Brazilian melons.$h[electronic resource]
260 $c2018
520 $aCleaner fruit production has become important for producers worldwide because consumers and retail companies increasingly base their purchase decisions on environmental criteria. Green manure is a soil management practice that promotes soil nutrient enrichment and may improve crop yield. Nonetheless, the environmental impacts and economic analysis of combined green manure and tropical fruit production have not been performed. This work assesses the environmental impacts and profits resulting from the Brazilian melon, commercialized in Brazil. Melon production is analyzed under two cultivation systems: i) the conventional form practiced by farmers located in the S~ao Francisco Valley region, Brazil, and ii) the conservationist system, based on a green manure experiment carried out in this same region. This study applies life cycle assessment to evaluate the environmental impacts of both systems, considering farm inputs production and transportation (energy power, fertilizers, pesticides, plastic, paper, and fuel) as well as melon production and transportation to the main national distribution market in S~ao Paulo. The impact categories evaluated are climate change, soil acidification, freshwater and marine eutrophication, water depletion, human toxicity (cancer and non-cancer), and ecotoxicity. Scenario analysis is applied to assess impacts under different designed conditions for transportation, packing, and nitrogen fertilization. The profit analysis is performed by reducing the total production costs (inputs and services) from the revenue obtained from selling melons. Results indicate that the conservationist system causes lower impacts and lead to higher profit than the conventional system, for all assessed categories. The scenario analysis confirms that impacts can be further reduced in all categories when alternative melon transportation and fertilization practices are adopted. This work demonstrates that the environmental performance of Brazilian melon production can be improved with the addition of green manure and alternative transportation practices.
650 $aCrop rotation
650 $aEconomic costs
650 $aEnvironmental impact statements
650 $aLife cycle assessment
650 $aColheita
650 $aCucumis Melo
650 $aCusto de Produção
650 $aImpacto Ambiental
650 $aMelão
653 $aAvaliação de impacto ambiental
653 $aAvaliação do ciclo de vida
653 $aAvaliação econômica
653 $aEconomic evaluation
653 $aEnvironmental impact assessment
653 $aRotação de colheitas
700 1 $aNUNES, A. B. A.
700 1 $aGIONGO, V.
700 1 $aBARROS, V. da S.
700 1 $aFIGUEIREDO, M. C. B. de
773 $tJournal of Cleaner Production$gv. 181, p. 260-270, 2018.
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/04/2017 |
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Data da última atualização: |
10/04/2017 |
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Autoria: |
CYSNEIROS, V. C.; AMORIM, T. de A.; MENDONÇA JÚNIOR, J. de O.; GAUI, T. D.; MORAES, J. C. R. de; BRAZ, D. M.; MACHADO, do A. |
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Título: |
Distribuição diamétrica de espécies da Floresta Ombrófila Densa no sul do Estado do Rio de Janeiro. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, Colombo, v. 37, n. 89, p. 1-10, jan./mar. 2017. |
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DOI: |
10.4336/2017.pfb.37.89.1070 |
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Idioma: |
Português |
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Conteúdo: |
O objetivo do presente estudo foi avaliar o desempenho e selecionar funções densidade de probabilidade que descrevam a distribuição diamétrica da comunidade florestal e das três principais espécies da Floresta Ombrófila Densa no sul do estado do Rio de Janeiro. Foram testadas as funções Normal, Log Normal, Beta, Gama, Sb de Johnson e Weibull. Os ajustes foram realizados com auxílio da ferramenta Solver (MSExcel®), que utiliza o algoritmo linear de gradiente reduzido para otimização dos parâmetros das funções. Para a seleção do melhor modelo foram avaliados o valor D de Kolmogorov-Smirnov e o erro padrão da estimativa (Syx %). De maneira geral, as funções Sb de Johnson e Weibull apresentaram as melhores estatísticas de ajuste e maior precisão nas estimativas. Mesmo representando melhor a realidade da distribuição, os menores intervalos de classe não forneceram os melhores ajustes, sendo as estimativas mais precisas propiciadas pelos maiores intervalos e menores números de classes. |
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Palavras-Chave: |
Atlantic Forest; Density probability functions; Floresta Atlântica; Funções densidade de probabilidade; Modelagem; Modeling. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/158827/1/Distribuicao-diametrica.pdf
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Marc: |
LEADER 01921naa a2200277 a 4500
001 2068331
005 2017-04-10
008 2017 bl uuuu u00u1 u #d
024 7 $a10.4336/2017.pfb.37.89.1070$2DOI
100 1 $aCYSNEIROS, V. C.
245 $aDistribuição diamétrica de espécies da Floresta Ombrófila Densa no sul do Estado do Rio de Janeiro.$h[electronic resource]
260 $c2017
520 $aO objetivo do presente estudo foi avaliar o desempenho e selecionar funções densidade de probabilidade que descrevam a distribuição diamétrica da comunidade florestal e das três principais espécies da Floresta Ombrófila Densa no sul do estado do Rio de Janeiro. Foram testadas as funções Normal, Log Normal, Beta, Gama, Sb de Johnson e Weibull. Os ajustes foram realizados com auxílio da ferramenta Solver (MSExcel®), que utiliza o algoritmo linear de gradiente reduzido para otimização dos parâmetros das funções. Para a seleção do melhor modelo foram avaliados o valor D de Kolmogorov-Smirnov e o erro padrão da estimativa (Syx %). De maneira geral, as funções Sb de Johnson e Weibull apresentaram as melhores estatísticas de ajuste e maior precisão nas estimativas. Mesmo representando melhor a realidade da distribuição, os menores intervalos de classe não forneceram os melhores ajustes, sendo as estimativas mais precisas propiciadas pelos maiores intervalos e menores números de classes.
653 $aAtlantic Forest
653 $aDensity probability functions
653 $aFloresta Atlântica
653 $aFunções densidade de probabilidade
653 $aModelagem
653 $aModeling
700 1 $aAMORIM, T. de A.
700 1 $aMENDONÇA JÚNIOR, J. de O.
700 1 $aGAUI, T. D.
700 1 $aMORAES, J. C. R. de
700 1 $aBRAZ, D. M.
700 1 $aMACHADO, do A.
773 $tPesquisa Florestal Brasileira, Colombo$gv. 37, n. 89, p. 1-10, jan./mar. 2017.
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Registro original: |
Embrapa Florestas (CNPF) |
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