Economic analyses on water depth and nitrogen doses in maize, <em>Zea mays</em> L., by CERES-Maize Model

  • Paulo Sérgio Lourenço de Freitas UEM
  • Everardo C. Mantovani UFV
  • Roberto Rezende UEM
  • Antônio Carlos Andrade Gonçalves UEM
  • Altair Bertonha UEM

Abstract

CERES-Maize model from DSSAT 3.0 package was used to simulate the necessary data for current research with BR-201 maize cultivar, undertaken in the Janaúba district, Minas Gerais, Brazil. Maize yields for three sowing dates, or rather, 15th May, 15th October and 15th November, were simulated in non-irrigation and irrigation conditions. In the latter water depth was kept at 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44 and 48 mm at seven-day intervals. Water depth coincided with nitrogen doses of 0, 30, 60, 90, 120, 150, 180 and 210 kg ha-1. Climatic data of the 1977-1995 period were used in simulations. Analyses showed that economical gain for the 15th May sowing was higher than that on other dates, even though water depth had to be greater. This was due to the fact that average rainfall during the culture cycle in the 1977-1995 period was just 12mm

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Author Biography

Roberto Rezende, UEM
Possui graduação em Engenharia Agrícola pela Universidade Federal de Lavras (1985) , mestrado em Agronomia pela Escola Superior de Agronomia Luiz de Queiroz Esalq Usp (1992) e doutorado em Agronomia pela Escola Superior de Agronomia Luiz de Queiroz Esalq Usp (2001) . Atualmente é Professor Adjunto da Universidade Estadual de Maringá. Tem experiência na área de Engenharia Agrícola , com ênfase em Engenharia de Água e Solo. Atuando principalmente nos seguintes temas: Irrigação por aspersão-crescimento vegetal-feijão-. Currículo Lattes
Published
2008-05-09
How to Cite
Freitas, P. S. L. de, Mantovani, E. C., Rezende, R., Gonçalves, A. C. A., & Bertonha, A. (2008). Economic analyses on water depth and nitrogen doses in maize, <em>Zea mays</em&gt; L., by CERES-Maize Model. Acta Scientiarum. Agronomy, 23, 1139-1147. https://doi.org/10.4025/actasciagron.v23i0.2610
Section
Agronomy

 

2.0
2019CiteScore
 
 
60th percentile
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus