Application of Response Surface Analysis of Three Factors of Fertilizer Treatment Combination to Determine the Optimum Plant Height of Maize


Authors : Oladipupo Olayinka Olusegun; Dare Julius Remi; Ayanlowo Emmanuel A

Volume/Issue : Volume 8 - 2023, Issue 4 - April

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3nPZhGH

Abstract : This study evaluated how three different fertilizer treatment combinations affected plant height. For specific variables or characteristics that can be taken into account, the optimal plant height is calculated using the first and second-order models of the Responsive Surface Methodology. According to the study's p-value of 0.087 for lack of fit, the Ho cannot be entirely discounted. Thus, there is no proof that the response surface lacks curvature or is poorly fitted. The interaction between 100 kg/ha of poultry manure (P/M10), 50 kg/ha of organic minerals (O/M5), and 50 kg/ha of poultry manure (P/M5) is shown by the main effect plot, contour plot, and surface plot to be significant at the level of 0.05. Moreover, poultry manure at 50 kg/ha (P/M5), which spreads the longest, has the highest impact at 100 kg/ha (P/M10) and organic mineral at 50 kg/ha (O/M5). With the use of a Pareto chart, that serves as the reference line. The ideal values for the response variable for a specific location with the accompanying expected response plant height are 101.31 cm and a composite desirability of 0.996269 to achieve the ideal plant height. The findings of this study demonstrate the potential of response surface analysis as a tool for optimizing fertilizer treatment combinations for the growth of maize. By identifying the optimal combination of fertilizer treatments, farmers can maximize the yield and quality of their maize crops, while minimizing the cost and environmental impact of their fertilizer use.

Keywords : Poultry Manure, Organic-Mineral Fertilizer, Maize, Box-Behnken Design, Reaction Surface Design, and Central Composite Design.

This study evaluated how three different fertilizer treatment combinations affected plant height. For specific variables or characteristics that can be taken into account, the optimal plant height is calculated using the first and second-order models of the Responsive Surface Methodology. According to the study's p-value of 0.087 for lack of fit, the Ho cannot be entirely discounted. Thus, there is no proof that the response surface lacks curvature or is poorly fitted. The interaction between 100 kg/ha of poultry manure (P/M10), 50 kg/ha of organic minerals (O/M5), and 50 kg/ha of poultry manure (P/M5) is shown by the main effect plot, contour plot, and surface plot to be significant at the level of 0.05. Moreover, poultry manure at 50 kg/ha (P/M5), which spreads the longest, has the highest impact at 100 kg/ha (P/M10) and organic mineral at 50 kg/ha (O/M5). With the use of a Pareto chart, that serves as the reference line. The ideal values for the response variable for a specific location with the accompanying expected response plant height are 101.31 cm and a composite desirability of 0.996269 to achieve the ideal plant height. The findings of this study demonstrate the potential of response surface analysis as a tool for optimizing fertilizer treatment combinations for the growth of maize. By identifying the optimal combination of fertilizer treatments, farmers can maximize the yield and quality of their maize crops, while minimizing the cost and environmental impact of their fertilizer use.

Keywords : Poultry Manure, Organic-Mineral Fertilizer, Maize, Box-Behnken Design, Reaction Surface Design, and Central Composite Design.

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