Simulation of Potential Yields of New Rice Varieties in the Senegal River Valley
Irrigated rice in the Sahel has a high yield potential, due to favorable climatic conditions. Simulation models are excellent tools to predict the potential yield of rice varieties under known climatic conditions. This study aimed to (1) evaluate new rice genotypes for the Sahel, and (2) calibrate simulation models to predict potential yield of irrigated rice in the Sahel. Two new inbred lines (ITA344 and IR32307) and one O. sativa × O. glaberrima line (WAS 161-B-9-2) were tested against IR64, an international check, and Sahel 108, locally the most popular rice cultivar. Field experiments were executed at two sites along the Senegal river, Ndiaye and Fanaye, differing in temperature regime and soil type. All cultivars were sown and transplanted at two sowing dates in February and March 2006. Observed grain yields varied from 7 to 10 t ha−1 and from 6 to 12 t ha−1 at Ndiaye and Fanaye, respectively. The number of days until maturity ranged from 119 to 158, depending on cultivar, sowing date and site. Experimental data of one sowing date was used to calibrate both the DSSAT and ORYZA2000 models. According to ORYZA2000, the same cultivars needed 400°Cd more in Fanaye than in Ndiaye to complete their cycle. ORYZA2000 simulated phenology well, but yield was underestimated. After calibrating DSSAT, different sets of genetic coefficients gave similar results. Genetic coefficients that reflected the observed phenology well resulted in lower than observed yields. Crop growth simulation is a powerful tool to predict yields, but local calibration at the same sowing date is needed to obtain useful results.
KeywordsOryza sativa Crop growth simulation models Irrigated rice Sahel
The authors are grateful to the Dutch Directorate General for International Cooperation (DGIS) of the Dutch government and Africa Rice Centre for funding this research.
- Boling AA, BoumanBAM, TuongTP, KonboonY, Harnpichitvitaya D (2011) Yield gap analysis and the effect of nitrogen and water on photoperiod-sensitive jasmine rice in north-east Thailand NJAS – Wageningen. J Life Sci 58:11–19Google Scholar
- Boote KJ, Hunt LA (1998) Data for model operation, calibration, and evaluation. In: Tsuji GY, Hoogenboom G, Thornton PK (eds) Understanding options for agricultural production. Kluwer Academic, Dordrecht, pp 9–39Google Scholar
- Bouman BAM, Kropff MJ, Tuong TP, Wopereis MCS, ten Berge HFM, van Laar HH (2001) Oryza2000: modeling lowland rice. International Rice Research Institute, Los BanosGoogle Scholar
- Dingkuhn M, Sow A (1997) Potential yields of irrigated rice in the Sahel. In: Miézan KM et al (eds) Irrigated rice in the Sahel: prospects for sustainable development. WARDA, Bouaké, Côte d’Ivoire, pp 361–379Google Scholar
- Dingkuhn M, Le GalMPY, Poussin JC (1995a) RIDEV: un modèle de développement du riz pour le choix des variétés et des calendriers. In: Boivin P et al (eds) Nianga, laboratoire de l’agriculture irriguée en moyenne vallée du Sénégal ORSTOM, Atelier ORSTOM-ISRA, Saint-Louis, Senegal, pp 205–222Google Scholar
- Kropff MJ, van Laar HH, Mattews RB (1994) ORYZA1: an ecophysiological model for irrigated rice production. DLO-Staring Centrum, Instituut voor Onderzoek van het Landelijk Gebied (SC-DLO), WageningenGoogle Scholar
- Pathak H, Timsina J, Humphreys E, Godwin DC, Bijay-Singh V, Shukla AK, Singh U, Matthews RB (2004) Simulation of rice crop performance and water and N dynamics, and methane emissions for rice in northwest India using CERES rice model. CSIRO Land and Water, GriffithGoogle Scholar
- Sie M, Kabore KB, Dakou D, Dembele Y, Segda Z, Bado BV, Ouedraogo M, Thio B, Ouedraogo I, Moukoumbi YD, Ba NM, Traore A, Sanou I, Ogunbayo SA, Toulou B (2007) Release of four new interspecific varieties for the rainfed lowland in Burkina Faso. Int Rice Res Notes 32:16–17Google Scholar
- Timsina J, Humphreys E (2003) Performance and application of CERES and WAGMAN destiny models for rice-wheat cropping systems in Asia and Australia: a review 16/03. CSIRO land and water, Griffith, AustraliaGoogle Scholar
- WARDA ARC (2006) Annual report 2005–2006: providing what’s needed, Cotonou, BeninGoogle Scholar