A Decision Tree Model for Predicting Cassava Mealiness: Fusing Cell Wall Composition and Microstructure

Decision tree analysis indicated that cellulose content and dry matter content are the primary and secondary factors influencing mealiness, respectively. When cellulose content was ≤31.486 mg/g and dry matter content exceeded 34.965%, the probability of the roots being mealy reached 96%. Independent validation using randomly selected cassava germplasm accessions yielded a model prediction accuracy of 70%. These findings provide a useful reference for future cassava breeding and quality improvement.