Relationship of Q-Score and Loan Value

Cotton fiber quality may be improved with an index that incorporates weighted values of multiple fiber measurements. Our objectives were to describe the logic and calculation of a numerical index (Q-score) and to evaluate the relationship of Q-score to loan value. Q-score is calculated by first normalizing fiber properties from 0 to 1 and then algebraically combining the normalized values by quality weighting factors based input from textile processing experts. Fiber properties (weights) for Q-score calculations included fiber length (50%), micronaire (25%), length uniformity index (15%), and strength (10%). Q-scores and loan values were calculated for the 2001-2007 Arkansas Cotton Variety Tests (1478 observations). Economic analysis included summary statistics and correlations for the parameters. Q-score values were normally (or near normally) distributed, while loan values followed a Poisson or chi-square distribution. Q-score and loan value were positively correlated, and similarly correlated to the fiber parameters. Obtaining optimum loan values was more likely as Q-score increased. Q-score was more conservative and discriminating than loan values.