Estimating Rice Yield under Changing Weather Conditions in Kenya Using CERES Rice Model

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Variable</td><td align="center">Simulated</td><td align="center">Observed</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Anthesis</td><td align="center">119</td><td align="center">110</td></tr><tr><td align="left">Physiological maturity (dap)</td><td align="center">139</td><td align="center">137</td></tr><tr><td align="left">Yield at harvest maturity (t/ha)</td><td align="center">5.935</td><td align="center">5.915</td></tr><tr><td align="left">Unit weight at maturity (g)</td><td align="center">0.024</td><td align="center">0.023</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Main growth and development variables for Basmati 370 under system of rice intensification in Mwea irrigation scheme, Kenya.

International Journal of Agronomy

tab3

Table 3

Table 3: Estimating Rice Yield under Changing Weather Conditions in Kenya Using CERES Rice Model 