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Marin,Fábio Ricardo; Lopes-Assad,Maria Leonor; Assad,Eduardo Delgado; Vian,Carlos Eduardo; Santos,Marcelo Cabral. |
A conceptual framework for crop production efficiency was derived using thermodynamic efficiency concept, in order to generate a tool for performance evaluation of agricultural systems and to quantify the interference of determining factors on this performance. In Thermodynamics, efficiency is the ratio between the output and input of energy. To establish this relationship in agricultural systems, it was assumed that the input energy is represented by the attainable crop yield, as predicted through simulation models based on environmental variables. The method of FAO's agroecological zones was applied to the assessment of the attainable sugarcane yield, while Instituto Brasileiro de Geografia e Estatística (IBGE) data were used as observed yield. Sugarcane... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Saccharum; Pedological aptitude; Geoprocessing; Agrometeorological modeling. |
Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2008001100002 |
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Gouvêa,Júlia Ribeiro Ferreira; Sentelhas,Paulo Cesar; Gazzola,Samuel Thomazella; Santos,Marcelo Cabral. |
The climatic projections for this century indicate the possibility of severe consequences for human beings, especially for agriculture where adverse effects to productivity of crops and to agribusiness as a whole may occur. An agrometeorological model was used to estimate sugarcane yield in tropical southern Brazil, based on future A1B climatic scenarios presented in the fourth Intergovernmental Panel on Climate Change report, in 2007. Sugarcane yield was evaluated for 2020, 2050, and 2080 considering the possible impacts caused by changes in temperature, precipitation, sunshine hours and CO2 concentration in the atmosphere, as well as technological advances. Increasingly higher temperatures will cause an increase of the potential productivity (PP), since... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Global warming; Water balance; Agrometeorological model; Sugarcane yield. |
Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000500003 |
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