African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6638

Full Length Research Paper

Application and evaluation of the DSSAT-wheat in the Tiaret region of Algeria

W. Rezzoug*,1, B. Gabrielle2, A. Suleiman3 and K. Benabdeli4
1Department of Agricultural and Biological Sciences, Ibn Khaldoun University, Tiaret, Algeria. Environment and Arable Crops Research Unit, Institute National de la Recherche Agronomique, Thiverval-Grignon, France. 2Environment and Arable Crops Research Unit, Institut National de la Recherche Agronomique, Thiverval-Grignon, France. 3Land, Water and Environment Department, Faculty of Agriculture, University of Amman, Jordan. 4Mustapha Stambouli University, Mascara, Algeria.
Email: [email protected]

  •  Accepted: 19 February 2008
  •  Published: 30 April 2008

Abstract

Crop simulation models are essential tools to design management practices to mitigate such adverse conditions. They can be used to predict crop yield expectancies under limited environmental resources and various management scenarios. However, the application of crop models requires an accurate knowledge of the genotype-related coefficients, which are commonly not available. This paper aimed to evaluate the DSSAT crop model in Algeria for wheat, including the determination of DSSAT-specific genetic coefficients of wheat. Experimental data from three seasons and of nine cultivars were used for model calibration and testing. The results showed that the root mean squared error (RMSE) were 9.5 d and 1.8 d for anthesis and maturity respectively for model calibration; and  was 4.4 d and 3.5 d for anthesis and maturity in testing of the model, respectively. The RMSE of final grain yield was 0.7 t ha-1 for calibration and testing. This study showed that DSSAT may be used to predict the growth and yields of wheat genotypes in Algeria. In consequence to compare several crop management strategies in a wheat cropping area.

 

Key words: Wheat, simulation, DSSAT, genotype.