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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
28/12/2009 |
Data da última atualização: |
06/12/2018 |
Autoria: |
AZEVEDO, R. de; PEREIRA, J. A. |
Título: |
Análise da eficiência econômica da pequena irrigação no Estado do Ceará. |
Ano de publicação: |
1992 |
Fonte/Imprenta: |
Revista Econômica do Nordeste, Fortaleza, v. 23, n. 1/4, p. 45-68. jan./dez. 1992. |
Idioma: |
Português |
Conteúdo: |
Análise comparativa de projetos de irrigação públicos, privados e comunitários no Estado do Ceará. |
Palavras-Chave: |
Ceará. |
Thesagro: |
Análise Econômica; Irrigação. |
Thesaurus Nal: |
Economic analysis; Irrigation. |
Categoria do assunto: |
E Economia e Indústria Agrícola |
Marc: |
LEADER 00669naa a2200193 a 4500 001 1578972 005 2018-12-06 008 1992 bl uuuu u00u1 u #d 100 1 $aAZEVEDO, R. de 245 $aAnálise da eficiência econômica da pequena irrigação no Estado do Ceará. 260 $c1992 520 $aAnálise comparativa de projetos de irrigação públicos, privados e comunitários no Estado do Ceará. 650 $aEconomic analysis 650 $aIrrigation 650 $aAnálise Econômica 650 $aIrrigação 653 $aCeará 700 1 $aPEREIRA, J. A. 773 $tRevista Econômica do Nordeste, Fortaleza$gv. 23, n. 1/4, p. 45-68. jan./dez. 1992.
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
06/01/2020 |
Data da última atualização: |
07/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ARAÚJO, M. L. S. DE; SANO, E. E.; BOLFE, E. L.; SANTOS, J. R. N.; SANTOS, J. S. dos; SILVA, F. B. |
Afiliação: |
MAYARA LUCYANNE SANTOS DE ARAÚJO, UnB; EDSON EYJI SANO, CPAC; EDSON LUIS BOLFE, CNPTIA; JESSFLAN RAFAEL NASCIMENTO SANTOS, UNIVERSIDADE CEUMA; JULIANA SALES DOS SANTOS, UNIVERSIDADE CEUMA; FABRÍCIO BRITO SILVA, UNIVERSIDADE CEUMA. |
Título: |
Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015). |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Land Use Policy, v. 80, p. 57-67, Jan. 2019. |
DOI: |
https://doi.org/10.1016/j.landusepol.2018.09.040 |
Idioma: |
Inglês |
Conteúdo: |
Brazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other fields of agriculture, the environment, and logistics. MenosBrazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other f... Mostrar Tudo |
Palavras-Chave: |
Agricultural expansion; Expansão agrícola; Geoestatística; Moran index. |
Thesagro: |
Agricultura; Cerrado; Meio Ambiente; Soja. |
Thesaurus NAL: |
Agriculture; Environment; Geostatistics; Soybeans. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02507naa a2200337 a 4500 001 2118202 005 2020-01-07 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.landusepol.2018.09.040$2DOI 100 1 $aARAÚJO, M. L. S. DE 245 $aSpatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015).$h[electronic resource] 260 $c2019 520 $aBrazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other fields of agriculture, the environment, and logistics. 650 $aAgriculture 650 $aEnvironment 650 $aGeostatistics 650 $aSoybeans 650 $aAgricultura 650 $aCerrado 650 $aMeio Ambiente 650 $aSoja 653 $aAgricultural expansion 653 $aExpansão agrícola 653 $aGeoestatística 653 $aMoran index 700 1 $aSANO, E. E. 700 1 $aBOLFE, E. L. 700 1 $aSANTOS, J. R. N. 700 1 $aSANTOS, J. S. dos 700 1 $aSILVA, F. B. 773 $tLand Use Policy$gv. 80, p. 57-67, Jan. 2019.
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