Evaluating The Application Of AquaCrop Modeling In Simulating Rice Crop Performance Under System Of Rice Intensification (SRI) Management
  • Author(s): Dr. Jackline Alinda Ndiiri ; Prof. Norman Uphoff ; Prof. Bancy M. Mati ; Prof. Patrick G. Home ; Dr. Benson Odongo
  • Paper ID: 1701567
  • Page: 655-666
  • Published Date: 31-08-2019
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 3 Issue 2 August-2019
Abstract

Crop models can be useful as decision support tools for cropping system management, planning and policy analysis. Specifically, modeling of crop yield response to water applications can contribute significantly to the optimization of crop water productivity in irrigated rice cultivation, which consumes about 80% of total irrigation freshwater.Field experiments were conducted in 2010 and 2011 seasons at the Mwea Irrigation Agricultural Development (MIAD) Center located in the Mwea Irrigation Scheme (MIS), Kenya to compare yields of Basmati 370 variety grown under System of Rice Intensification (SRI) management with reduced water applications vs. conventional practices of continuous flooding (CF).AquaCrop version 4.0 was used to simulate total biomass, grain yields and canopy cover. Model performance was evaluated using index of agreement (d), root mean square error (RMSE), coefficient of efficiency (E), and coefficient of determination (R2). The findings indicated a high potential effectiveness of a calibrated AquaCrop model with a high degree of reliability: R2 =0.97 for biomass and 0.87 for canopy cover. There was also a good fit between the observed and simulated grain yields, with a deviation of only 4.2% and -5.7% under SRI and CF practices, respectively. That AquaCrop model could be applied successfully to estimate biomass, canopy cover and grain yields, with in Mwea irrigation scheme showed that it can be used as a decision support tool by scheme managers and farmers to explore various management options for maximizing yields.

Keywords

AquaCrop model; Water Productivity; Basmati 370 variety; Kenya; Mwea irrigation scheme; System of Rice Intensification

Citations

IRE Journals:
Dr. Jackline Alinda Ndiiri , Prof. Norman Uphoff , Prof. Bancy M. Mati , Prof. Patrick G. Home , Dr. Benson Odongo "Evaluating The Application Of AquaCrop Modeling In Simulating Rice Crop Performance Under System Of Rice Intensification (SRI) Management" Iconic Research And Engineering Journals Volume 3 Issue 2 2019 Page 655-666

IEEE:
Dr. Jackline Alinda Ndiiri , Prof. Norman Uphoff , Prof. Bancy M. Mati , Prof. Patrick G. Home , Dr. Benson Odongo "Evaluating The Application Of AquaCrop Modeling In Simulating Rice Crop Performance Under System Of Rice Intensification (SRI) Management" Iconic Research And Engineering Journals, 3(2)