Abstract
ABSTRACT Processing cotton at the gin to minimize machinery usage and maximize monetary retums requires a thorough understanding of the performance characteristics of individual machines. A database involving multiple moisture, trash, machine and cotton levels was developed for all routine and laboratory fiber properties before and after various gin processes. Ranges of these variables are representative of the minimum and maximum levels normally found in spindle-harvested cotton. The database is suitable for multiple regression analyses and development of prediction equations based on the performance characteristics of individual and combinations of machines.
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