Analysis of Some Factors Affecting the Growth of Castor Shrub and Suitability of its Seed Oil in Industrial Application

Some concern had been shown regarding the limited availability of castor seed to satisfy rising yearning for its oil use in industrial and domestic applications. This growing demand calls refocus on backward integration order ensure sustained supply chain. study adopts a factorial analysis that involves Principal Component Analysis (PCA) Kendall’s Coefficient Concordance (KCC) as statistical procedures analyze some critical factors affecting growth shrub seed. KCC analyzed degree agreement among fifteen Judges who ranked thirty-two identified variables suitability application descending importance. The result showed an index concordance ranking indicating 61% 15 judges. PCA helped responses arranged form data matrix was facilitated by statistiXL software. revealed significant parsimony reduction from four principal creatively labeled: Seed particularities, Resource Conversion Efficiency, Plant-cooperation-oriented yield Soil Condition respectively. implication this is influence has identified.