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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
27/02/1996 |
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Data da última atualização: |
27/02/1996 |
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Autoria: |
GONCALVES NETO, W. |
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Título: |
O cafe e a transformacao da agricultura do Triangulo Mineiro. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: REUNIAO ESPECIAL DA SBPC, 1., 1994, Uberlandia, MG. O cerrado e o seculo XXI: o homem, a terra e a ciencia. Uberlandia, MG: UFU/SBPC, 1994. |
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Páginas: |
p.35. |
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Idioma: |
Português |
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Notas: |
Resumo. |
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Palavras-Chave: |
Agricultural policies; Brasil; Coffee; Minas Gerais; Triangulo Mineiro. |
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Thesagro: |
Agricultura; Café; Cerrado; Coffea Arábica; Política. |
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Thesaurus Nal: |
Brazil. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00764naa a2200265 a 4500
001 1551006
005 1996-02-27
008 1994 bl uuuu u00u1 u #d
100 1 $aGONCALVES NETO, W.
245 $aO cafe e a transformacao da agricultura do Triangulo Mineiro.
260 $c1994
300 $ap.35.
500 $aResumo.
650 $aBrazil
650 $aAgricultura
650 $aCafé
650 $aCerrado
650 $aCoffea Arábica
650 $aPolítica
653 $aAgricultural policies
653 $aBrasil
653 $aCoffee
653 $aMinas Gerais
653 $aTriangulo Mineiro
773 $tIn: REUNIAO ESPECIAL DA SBPC, 1., 1994, Uberlandia, MG. O cerrado e o seculo XXI: o homem, a terra e a ciencia. Uberlandia, MG: UFU/SBPC, 1994.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/05/2012 |
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Data da última atualização: |
08/03/2018 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MARIN, F. R. |
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Afiliação: |
FÁBIO RICARDO MARIN, CNPTIA. |
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Título: |
Understanding sugarcane yield gap and bettering crop management through crop production efficiency. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
MARIN, F. R. (Ed.). Crop management - cases and tools for higher yield and sustainability. Rijeka: InTech, 2012. cap. 6, p. 109-118. |
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Idioma: |
Inglês |
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Conteúdo: |
The comparison among farming systems and regions would improve the understanding of how and what driving factors explains the crop yield variability over time and space. Very often, however, farm managers and policy makers fall in difficult to establish reliable indexes to compare farming systems plots and regions. Having a quantitate index, we could derive relationships regarding climate, soil and socioeconomic, as well as to determine which factors contribute or hinder the development in a given region and time. Monteith (1977) suggested agroecosystems as machines that utilize solar energy to maintain composition and organization. From a thermodynamic standpoint, the efficiency of any process can be expressed as the ratio of energy output to energy input. Since the 1970s, this concept has been applied to analyze the energy flow in agroecosystems, as well as to analyze the relation between biomass chemical energy and incident solar radiation. We could apply this approach to understand the regional agricultural development and crop yield gap, once it could elucidate biophysical factors, such as the pedoclimatic conditions, affecting crop yields at a local scale. However, for a broader evaluation, one should also include structural components, corresponding to the agricultural systems and management practices adopted; institutional effects, involving governmental actions affecting price, credit, commercialization, and incentives; and research and development, related to innovations to increase yield and solve problems that restrict agricultural-related activities (Carvalho, 2009). Also, to make this approach useful in an operational way, one could assume crop efficiency such as a quantitative indicator, helping to compare and evaluate in time and space, the farming development level. The efficiency of crop production can be assumed as the ratio between observed and attainable crop yield (Marin et al., 2008). In order to evaluate the effectiveness of this tool, the concept of crop efficiency was applied to study the sugarcane performance in the State of São Paulo, Brazil, the main region of this crop production, representing approximately 60% of the total Country's sugarcane production (IBGE, 2002). MenosThe comparison among farming systems and regions would improve the understanding of how and what driving factors explains the crop yield variability over time and space. Very often, however, farm managers and policy makers fall in difficult to establish reliable indexes to compare farming systems plots and regions. Having a quantitate index, we could derive relationships regarding climate, soil and socioeconomic, as well as to determine which factors contribute or hinder the development in a given region and time. Monteith (1977) suggested agroecosystems as machines that utilize solar energy to maintain composition and organization. From a thermodynamic standpoint, the efficiency of any process can be expressed as the ratio of energy output to energy input. Since the 1970s, this concept has been applied to analyze the energy flow in agroecosystems, as well as to analyze the relation between biomass chemical energy and incident solar radiation. We could apply this approach to understand the regional agricultural development and crop yield gap, once it could elucidate biophysical factors, such as the pedoclimatic conditions, affecting crop yields at a local scale. However, for a broader evaluation, one should also include structural components, corresponding to the agricultural systems and management practices adopted; institutional effects, involving governmental actions affecting price, credit, commercialization, and incentives; and research and development, related to innov... Mostrar Tudo |
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Palavras-Chave: |
Manejo de cultivos; Produção de cultivos. |
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Thesagro: |
Cana de açúcar. |
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Thesaurus NAL: |
Crop management; Crop production; Sugarcane. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/59130/1/6.pdf
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Marc: |
LEADER 02911naa a2200193 a 4500
001 1924313
005 2018-03-08
008 2012 bl uuuu u00u1 u #d
100 1 $aMARIN, F. R.
245 $aUnderstanding sugarcane yield gap and bettering crop management through crop production efficiency.$h[electronic resource]
260 $c2012
520 $aThe comparison among farming systems and regions would improve the understanding of how and what driving factors explains the crop yield variability over time and space. Very often, however, farm managers and policy makers fall in difficult to establish reliable indexes to compare farming systems plots and regions. Having a quantitate index, we could derive relationships regarding climate, soil and socioeconomic, as well as to determine which factors contribute or hinder the development in a given region and time. Monteith (1977) suggested agroecosystems as machines that utilize solar energy to maintain composition and organization. From a thermodynamic standpoint, the efficiency of any process can be expressed as the ratio of energy output to energy input. Since the 1970s, this concept has been applied to analyze the energy flow in agroecosystems, as well as to analyze the relation between biomass chemical energy and incident solar radiation. We could apply this approach to understand the regional agricultural development and crop yield gap, once it could elucidate biophysical factors, such as the pedoclimatic conditions, affecting crop yields at a local scale. However, for a broader evaluation, one should also include structural components, corresponding to the agricultural systems and management practices adopted; institutional effects, involving governmental actions affecting price, credit, commercialization, and incentives; and research and development, related to innovations to increase yield and solve problems that restrict agricultural-related activities (Carvalho, 2009). Also, to make this approach useful in an operational way, one could assume crop efficiency such as a quantitative indicator, helping to compare and evaluate in time and space, the farming development level. The efficiency of crop production can be assumed as the ratio between observed and attainable crop yield (Marin et al., 2008). In order to evaluate the effectiveness of this tool, the concept of crop efficiency was applied to study the sugarcane performance in the State of São Paulo, Brazil, the main region of this crop production, representing approximately 60% of the total Country's sugarcane production (IBGE, 2002).
650 $aCrop management
650 $aCrop production
650 $aSugarcane
650 $aCana de açúcar
653 $aManejo de cultivos
653 $aProdução de cultivos
773 $tMARIN, F. R. (Ed.). Crop management - cases and tools for higher yield and sustainability. Rijeka: InTech, 2012. cap. 6, p. 109-118.
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Embrapa Agricultura Digital (CNPTIA) |
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