Response Surface Methodology Analysis Of Animal Manure Mixtures On Macronutrient Content

Abstract

The macro and micronutrient composition, pH, and absorptivity of manure from livestock and poultry differ. To increase the nutrient content of soils, several types of manure must be combined. One strategy to increase manure efficiency is mixing ratio optimization. This study aimed to ascertain the nutrient levels of manure from various farm animals and assess the interactions between the manure and the resulting nutrients. Polynomial equations were created as a mathematical model to tie the factors to the responses. The central composite design (CCD) of response surface methodology (RSM) was utilized to investigate the impact of different animal manures on macro nutrients that were chosen as responses. RSM was also used to determine each manure type's level of significance as well as the interactive effects. According to the findings of the study, goat manure was richest in phosphorus (1.27%), potassium (1.24%), and calcium (4.68%), whereas poultry manure was richest in nitrogen (1.45%). The study showed that while a combination of cattle and swine produced a mixture high in nitrogen, blending goats, poultry, and swine manure gave the highest phosphorus levels. A mixture of cattle, goat, and pig manure was provided an organic fertilizer that was rich in calcium and potassium. To assist in blending different types of wellchosen animal manure for the creation of the intended nutrient-rich organic fertilizer, second and third-order polynomials were devised. Calcium, potassium, and phosphorous fitted best in a third–order polynomial while nitrogen was fitted in a second-order polynomial.