PREDICTION OF AMINO ACID CONTENTS OF CASSAVA ROOT FROM CRUDE PROTEIN AND ESSENTIAL AMINO ACIDS

Abstract

This study aimed at predicting and evaluating the variation in the amino acids of cassava roots from their crude protein. Nutrient composition of cassava roots were obtained from previous studies and descriptive statistics, correlations and prediction models were developed using stepwise multiple regression analyses. The results indicated that variations occurred among the amino acid content of cassava roots from different sources. The amino acid component with the highest coefficient of variance was Tryptophan (364.2 %) while the least was Alanine (38.41 %). Glutamine had the highest mean value (0.25 %) while the least value was Cysteine (0.01 %). Positive and negative correlations existed between the amino acid content at 1 and 5 % levels of significance. Equations generated for Total Essential Amino acid (TEA) and Total Amino Acid (TAA) revealed that r2 increased as the number of variables increased, Prediction equations generated values for TEA and TAA of cassava roots were much close to the actual values obtained.