The CERES-Rice Model-Based Estimates of Potential Monsoon Season Rainfed Rice Productivity in Bangladesh

Rezaul Mahmood, Mark Meo, David R. Legates, Mark L. Morrissey

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


Agricultural practices in Bangladesh are largely dependent on the monsoonal rainfall. Historically, Bangladesh often experiences severe droughts and floods during the monsoon months, with significant crop losses during both extreme conditions. This article provides a quantitative assessment of potential monsoon-season aman rice for four transplanting dates: 1 June, 1 July, 15 July, and 15 August. A crop-growth simulation model, the CERES-Rice, is applied to sixteen locations representing major rice-growing regions of Bangladesh to determine baseline yield estimates for four transplanting dates. The applications were conducted for 1975 through 1987. Average potential yield in Bangladesh is 6,907, 5,039, 3,637, and 1,762 kg ha−1 for the above transplanting dates, respectively. In other words, Bangladesh would obtain 27 percent, 48 percent, and 75 percent less yield for 1 July, 15 July, and 15 August transplanting, respectively, than for 1 June transplanting. Potential yield vulnerability is the least for 1 June transplanting (up to 5 percent) and the highest (up to 66 percent) for 15 July transplanting date. The model applications show that regional variations exist for potential yield and yield vulnerability for a particular transplanting date. In addition, response of yield and vulnerability for a region changes with transplanting dates.

Original languageEnglish (US)
Pages (from-to)259-273
Number of pages15
JournalProfessional Geographer
Issue number2
StatePublished - May 1 2003
Externally publishedYes


  • Bangladesh
  • CERES-Rice model
  • Monsoon
  • Vulnerability, yield

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes


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