Abstract:
This study involved mixture experiment for fertilizer components in maize crop production. Researchers in
agriculture have conducted research on maize plants with different levels of single fertilizers with a view of
obtaining an appropriate amount for optimal yield. However, studies based on fertilizer blending are not very
common. This has left farmers with no option other than to continue applying fertilizer in random proportions
that may not guarantee the optimal yield with respect to fertilizer components available. The objectives was to
determine appropriate statistical models expressing the maize yield as response variable and to evaluate optimal
sets of mixture of fertilizer components that could maximize the response variables of interest. Di-Ammonium
Phosphate (DAP), Poultry manure (guano), Sheep manure, and Farmyard manure were the four independent
variables to optimize the response value of the maize yield. Mixture experiments entail the blending of these
components to determine if synergism exists in the mixture or blends of these fertilizer components. The
statistical model formulated for the maize yield demonstrates the effects of each component and the interaction
with other components displaying the trend of the response parameter. From the model, it can be concluded that
farmyard manure and poultry manure have greater effect on the production of maize yield and hence, this study
conclusively attained the optimal conditions of 6.67 tons ha -1 of farmyard manure mixed with 1.3467 tons ha -1 of
poultry manure. Under these conditions, the farmer achieves maximum output of 12.17 tons ha -1 of maize yield.
The study upholds that mixture experiments are appropriate in modeling agricultural production involving
various independent parameters that produces synergetic effect on the output parameter.
