Moon W. Suh and Hyunjung Cho. North Carolina State University, College of Textiles, NC State University, Box 8301, Raleigh, NC 27695-8301
Efforts have been made to develop Composite Cotton Quality Index (CCQI) aimed at improved cotton selection, pricing, storage/retrieval, laydown formation and product qualities. The new concept is to assess the value of cotton in a holistic manner by consolidating those quality factors that are highly correlated structurally in such a way that the traditional HVI and other measures would be better utilized and priced accordingly. Analyses were performed on eight HVI quality measures and the matching cotton prices based on CCC loan schedules during a five crop-year period; 2000/2001 - 2004/2005. These data consist of 1086 matching pairs of quality and price averages originating from USDA-AMS and EFS„µ-USCROP„µ software programs covering ten states; Alabama, Arkansas, Arizona, California, Georgia, Louisiana, Mississippi, North Carolina, Tennessee and Texas. The best CCQI's were obtained by examining the correlation between HVI cotton quality measure against the matching cotton prices one at a time as well as in composite functional forms. Two CCQI's, one involving color factors and another combining physical properties, are proposed for immediate trial. The new indices appear to be quite effective for scientific cotton pricing, simplification of bale management system and improvement of spun yarns and the resulting fabric qualities.
Recorded presentation