Title:	Sugarcane crop efficiency in two growing seasons in São Paulo State, Brazil.
Authors:	MARIN, F. R. LOPES-ASSAD, M. L. ASSAD, E. D. VIAN, C. E. SANTOS, M. C.
Affiliation:	FABIO RICARDO MARIN, CNPTIA; MARIA LEONOR LOPES-ASSAD, UNIVERSIDADE FEDERAL DE SÃO CARLOS; EDUARDO DELGADO ASSAD, CNPTIA; CARLOS EDUARDO VIAN, UNIVERSIDADE DE SÃO PAULO; MARCELO CABRAL SANTOS, UNIVERSIDADE DE SÃO PAULO.
Date Issued:	2008
Citation:	Pesquisa Agropecuária Brasileira, v. 43, n. 11, p. 1449-1455, nov. 2008.
Description:	Abstract – 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, effi ciency 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 Geografi a e Estatística (IBGE) data were used as observed yield. Sugarcane effi ciency production in São Paulo state was evaluated in two growing seasons, and its correlation with some physical factors that regulate production was calculated. A strong relationship was identified between crop production efficiency and soil aptitude. This allowed inferring the effect of agribusiness factors on crop production efficiency. The relationships between production efficiency and climatic variables were also quantified and indicated that solar radiation, annual rainfall, water deficiency, and maximum air temperature are the main factors affecting the sugarcane production efficiency.
Thesagro:	Clima
NAL Thesaurus:	Saccharum
Keywords:	Aptidão pedológica Geoprocessamento Modelagem agrometeorológica Agrometeorologia Pedological aptitude Geoprocessing Agrometeorological modeling
DOI:	https://doi.org/10.1590/S0100-204X2008001100002
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPTIA)