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2. | | PADOVEZZI, V. H.; PADOVAN, M. P.; ALOVISI, A. M. T.; OTSUBO, A. A.; OLIVEIRA, O. de. Dinâmica de atributos químicos do solo num sistema de produção de consórcio entre adubos verdes e mandioca, sob manejo orgânico. In: CONGRESSO BRASILEIRO DE SISTEMAS DE PRODUÇÃO, 7., 2007, Fortaleza. Agricultura familiar, políticas públicas e inclusão social: anais. Fortaleza: Embrapa Agroindústria Tropical, 2007. Organizado por Helenira Ellery Marinho Vasconcelos, Vitor Hugo de Oliveira, Andréia Hansen Oster. 1 CD-ROM. Biblioteca(s): Embrapa Agropecuária Oeste. |
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3. | | OLIVEIRA, O. de; OLIVEIRA, I. P. de; URQUIAGA, S.; ALVES, B. J. R.; BODDEY, R. M. Chemical and biological indicators of decline/degradation of Brachiaria pastures in the Brazilian Cerrado. In: INTERNATIONAL SYMPOSIUM SOIL FUNCTIONING UNDER PASTURES IN INTERTROPICAL AREAS, 2000, Brasilia, DF. Extended abstracts. Planaltina, DF: Embrapa Cerrados, 2000. 5 p. 1 CD-ROM. Biblioteca(s): Embrapa Arroz e Feijão. |
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4. | | FASIABEN, M. do C. R.; OLIVEIRA, A.; MAIA, A.; MARIN, F.; ALMEIDA, M.; OLIVEIRA, O. de. Typology of sugarcane production in Brazil: the use of multivariate statistics on municipal data. In: INTERANTIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving Statistics for Food Security, Sustainable Agriculture, and Rural Development Rio de Janeiro: IBGE, 2013. p. 1-16. ICAS VI. Biblioteca(s): Embrapa Agricultura Digital. |
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5. | | FASIABEN, M. do C. R.; OLIVEIRA, A. de; MARIM, F.; MAIA, A.; ALMEIDA, M.; OLIVEIRA, O. de. Typology of sugarcane production in Brazil: the use of multivariate statistics on municipal data. In: INTERNATIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving Statistics for food security, sustainable agriculture, and rural development: linking statistics with decision making: proceedings. Rio de Janeiro: IBGE, 2015. p. 696-697. ICAS 2013. Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 5 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
04/11/2013 |
Data da última atualização: |
22/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
FASIABEN, M. do C. R.; OLIVEIRA, A.; MAIA, A.; MARIN, F.; ALMEIDA, M.; OLIVEIRA, O. de. |
Afiliação: |
MARIA DO CARMO RAMOS FASIABEN, CNPTIA; ARYEVERTON FORTES DE OLIVEIRA, CNPTIA; ALEXANDRE MAIA, Unicamp; FABIO RICARDO MARIN, CNPTIA; MAXWELL ALMEIDA, IBGE; OCTÁVIO DE OLIVEIRA, IBGE. |
Título: |
Typology of sugarcane production in Brazil: the use of multivariate statistics on municipal data. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
In: INTERANTIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving Statistics for Food Security, Sustainable Agriculture, and Rural Development Rio de Janeiro: IBGE, 2013. |
Páginas: |
p. 1-16. |
Idioma: |
Inglês |
Notas: |
ICAS VI. |
Conteúdo: |
Abstract: Given the large territorial extension and the high social and economic diversity, Brazil has a remarkable variability in agricultural cropping systems. The description and the understanding of this variability is fundamental for proposing research gaps, technology transfer and appropriate public policies for the sector. Sugarcane is used for several purposes on farms, such as household consumption, energy and sugar production, and forage production. Data collected during the 2006 agricultural census, accomplished by the Brazilian Institute of Geography and Statistics (IBGE), shows that 192,931 farms (3.7% of Brazilian farms) reported having grown sugarcane in 2006. This paper addresses the classification and characterization of the sugarcane producing municipalities in Brazil, using techniques of multivariate statistical analysis (factor and cluster analysis). The 41 variables used were created from the data collected by the 2006 agricultural census, covering 3,576 municipalities. Data went through a sugarcane filter, and was then regrouped by municipality. Those variables gather socioeconomic and technological information on the farms, such as land usage, harvested area, production goal, productivity, input usage, use of industrial wastes, irrigation, source of producer?s income, percentage of the income that comes from sugarcane, family or conventional farming, size of herds, distance from the farms to sugar mills, among the most important. Analyses identified 9 different groups of sugarcane production in the municipalities, remarking large variability of sugarcane sector in Brazil, and the clear spatial differences of production and technology use in the territory. The results of the statistical analysis and the characteristics of the groups were discussed among scholars specialized in sugarcane research and were considered coherent with Brazilian reality. MenosAbstract: Given the large territorial extension and the high social and economic diversity, Brazil has a remarkable variability in agricultural cropping systems. The description and the understanding of this variability is fundamental for proposing research gaps, technology transfer and appropriate public policies for the sector. Sugarcane is used for several purposes on farms, such as household consumption, energy and sugar production, and forage production. Data collected during the 2006 agricultural census, accomplished by the Brazilian Institute of Geography and Statistics (IBGE), shows that 192,931 farms (3.7% of Brazilian farms) reported having grown sugarcane in 2006. This paper addresses the classification and characterization of the sugarcane producing municipalities in Brazil, using techniques of multivariate statistical analysis (factor and cluster analysis). The 41 variables used were created from the data collected by the 2006 agricultural census, covering 3,576 municipalities. Data went through a sugarcane filter, and was then regrouped by municipality. Those variables gather socioeconomic and technological information on the farms, such as land usage, harvested area, production goal, productivity, input usage, use of industrial wastes, irrigation, source of producer?s income, percentage of the income that comes from sugarcane, family or conventional farming, size of herds, distance from the farms to sugar mills, among the most important. Analyses identified 9 ... Mostrar Tudo |
Palavras-Chave: |
Cana-de-açúcar; Tipologia. |
Thesagro: |
Análise Estatística; Estatística. |
Thesaurus NAL: |
Cluster analysis; Statistical analysis; Statistics; Sugarcane. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/91878/1/tipology.pdf
|
Marc: |
LEADER 02867nam a2200289 a 4500 001 1970198 005 2020-01-22 008 2013 bl uuuu u00u1 u #d 100 1 $aFASIABEN, M. do C. R. 245 $aTypology of sugarcane production in Brazil$bthe use of multivariate statistics on municipal data.$h[electronic resource] 260 $aIn: INTERANTIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving Statistics for Food Security, Sustainable Agriculture, and Rural Development Rio de Janeiro: IBGE$c2013 300 $ap. 1-16. 500 $aICAS VI. 520 $aAbstract: Given the large territorial extension and the high social and economic diversity, Brazil has a remarkable variability in agricultural cropping systems. The description and the understanding of this variability is fundamental for proposing research gaps, technology transfer and appropriate public policies for the sector. Sugarcane is used for several purposes on farms, such as household consumption, energy and sugar production, and forage production. Data collected during the 2006 agricultural census, accomplished by the Brazilian Institute of Geography and Statistics (IBGE), shows that 192,931 farms (3.7% of Brazilian farms) reported having grown sugarcane in 2006. This paper addresses the classification and characterization of the sugarcane producing municipalities in Brazil, using techniques of multivariate statistical analysis (factor and cluster analysis). The 41 variables used were created from the data collected by the 2006 agricultural census, covering 3,576 municipalities. Data went through a sugarcane filter, and was then regrouped by municipality. Those variables gather socioeconomic and technological information on the farms, such as land usage, harvested area, production goal, productivity, input usage, use of industrial wastes, irrigation, source of producer?s income, percentage of the income that comes from sugarcane, family or conventional farming, size of herds, distance from the farms to sugar mills, among the most important. Analyses identified 9 different groups of sugarcane production in the municipalities, remarking large variability of sugarcane sector in Brazil, and the clear spatial differences of production and technology use in the territory. The results of the statistical analysis and the characteristics of the groups were discussed among scholars specialized in sugarcane research and were considered coherent with Brazilian reality. 650 $aCluster analysis 650 $aStatistical analysis 650 $aStatistics 650 $aSugarcane 650 $aAnálise Estatística 650 $aEstatística 653 $aCana-de-açúcar 653 $aTipologia 700 1 $aOLIVEIRA, A. 700 1 $aMAIA, A. 700 1 $aMARIN, F. 700 1 $aALMEIDA, M. 700 1 $aOLIVEIRA, O. de
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