IIARD International Institute of Academic Research and Development

WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 7 NO. 1 2023
DOI: https://doi.org/10.56201/wjimt.v7.no1.2023.pg1.13

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Application of Response Surface Methodology in Modelling and Optimization of the Yields of Maize (Zea mays L.) using Municipal Solid WasteComposts

Udoumoh Unwana I., Ahuchaogu Israel I., ayotamuno Josiah M

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Abstract

In this study, the Author investigates the operating conditions required for optimal production of maize (Zea mays L.) in Uyo, South-South Nigeria. The maize production process was optimized by the application of factorial design 33 and response surface methodology. The combined effects of composts from Green manure, G(vegetable and fruit waste), sawdust (S), and municipal solid wastes (M) were investigated and optimized using response surface methodology. Morphological and yield data of maize were obtained and analyzed using the Design Expert Software. The experiment was laid down in a Randomized Complete Block Design. The treatments consisted of the three composted organic waste sources, each at three levels (0, 3, and 6 tonnes per plot). The study developed statistical models using the collected data, a first –order polynomial with 2-way interaction model was obtained using a least squares technique for prediction of grain yield and yield components of maize. The optimum conditions for the production of maize were shown using the graphical contour response surfaces. The average mean of the yield per plant was in the range of 36.78g to 104.13g. Treatment G0S0M0 had the lowest mean of 36.78 while treatment G6S6M3 had the highest mean of 104.13 followed by treatment G3S6M3. Treatment G3S0M3 and G3S0M6 had low yield per plant of 4 respectively. This shows that the highest level of green yard and sawdust and a higher level of municipal waste compost combination was the best treatment while treatment G0S0M0 was an insignificant treatment in this study followed by G3S0M3At the optimum condition, one can reach to a maize grain yield of 82.270kg/plot of 6 meters by 6meters. Obviously, increased productivity of maize can improve the livelihood and income per capita of smallholder maize farmers in Uyo and safe the farmers extra cost of input. Thus, it is believed that the approach employed in this study of maize can be useful for research on other com

keywords:

Compost, Response Surface Methodology, Factorial Design, Maize, Optimization, Green Manure, Municipal Solid Waste, Yield

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References:

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