| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agrobiologia. |
|
Data corrente: |
27/06/1995 |
|
Data da última atualização: |
27/06/1995 |
|
Autoria: |
CANDAL NETO, J. F.; VIEIRA, C.; CARDOSO, A. A.; GALVAO, J. D. |
|
Título: |
Cultura associada de feijao e milho. X - Efeitos de cultivares e das densidades populacionais do milho. |
|
Ano de publicação: |
1987 |
|
Fonte/Imprenta: |
R. Ceres, v.34, n.196, p.619-630, 1987. |
|
Idioma: |
Português |
|
Palavras-Chave: |
AGROSILVICULTURA; CONSORCIO. |
|
Thesagro: |
Feijão; Manejo; Milho. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 00570naa a2200205 a 4500
001 1608178
005 1995-06-27
008 1987 bl --- 0-- u #d
100 1 $aCANDAL NETO, J. F.
245 $aCultura associada de feijao e milho. X - Efeitos de cultivares e das densidades populacionais do milho.
260 $c1987
650 $aFeijão
650 $aManejo
650 $aMilho
653 $aAGROSILVICULTURA
653 $aCONSORCIO
700 1 $aVIEIRA, C.
700 1 $aCARDOSO, A. A.
700 1 $aGALVAO, J. D.
773 $tR. Ceres$gv.34, n.196, p.619-630, 1987.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agrobiologia (CNPAB) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
|
Data corrente: |
11/01/2023 |
|
Data da última atualização: |
24/03/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. |
|
Afiliação: |
JULIO CESAR DOS REIS, CPAC; GERALDO STACHETTI RODRIGUES, CNPMA; INACIO DE BARROS, CNPGL; RENATO DE ARAGÃO RIBEIRO RODRIGUES; RACHAEL D. GARRETT; JUDSON FERREIRA VALENTIM, CPAF-AC; MARIANA Y. T. KAMOI; MIQUEIAS MICHETTI; FLAVIO JESUS WRUCK, CPAMT; SAULO RODRIGUES‑FILHO. |
|
Título: |
Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Agronomy for Sustainable Development, v. 43, 2023. |
|
Páginas: |
18 p. |
|
DOI: |
https://doi.org/10.1007/s13593-022-00858-5 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Assessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental
protection and the coexistence of biodiversity and the agricultural sector. MenosAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic... Mostrar Tudo |
|
Palavras-Chave: |
Sistema agrícola; Sustentabilidade. |
|
Thesagro: |
Cerrado. |
|
Thesaurus NAL: |
Amazonia; Fuzzy logic; Integrated agricultural systems. |
|
Categoria do assunto: |
--
A Sistemas de Cultivo
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 03258naa a2200325 a 4500
001 2150885
005 2023-03-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s13593-022-00858-5$2DOI
100 1 $aREIS, J. C. dos
245 $aFuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier.$h[electronic resource]
260 $c2023
300 $a18 p.
520 $aAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental protection and the coexistence of biodiversity and the agricultural sector.
650 $aAmazonia
650 $aFuzzy logic
650 $aIntegrated agricultural systems
650 $aCerrado
653 $aSistema agrícola
653 $aSustentabilidade
700 1 $aRODRIGUES, G. S.
700 1 $aBARROS, I. de
700 1 $aRODRIGUES, R. de A. R.
700 1 $aGARRETT, R. D.
700 1 $aVALENTIM, J. F.
700 1 $aKAMOI, M. Y. T.
700 1 $aMICHETTI, M.
700 1 $aWRUCK, F. J.
700 1 $aRODRIGUES-FILHO, S.
773 $tAgronomy for Sustainable Development$gv. 43, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Cerrados (CPAC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
