Tuesday, January 5, 2021: 2:00 PM
Efforts are ongoing in multiple states to create cotton traceability solutions. Methods for creating cotton fiber-quality maps were previously described using data streams currently created by modern harvesters, specifically John Deere Harvest ID files. The approach created tools to analyze classed fiber-quality measures on a sub-field basis. Variety selection, defoliation practice, harvest conditions, and ginning performance influenced trash content and leaf grade. Understanding how the presence on non-fiber material varied across and within fields can provided insights on how to minimize impacts. The overall goal of this analysis was to compare specific cotton classing measures at variable spatial scales, with an emphasis on sub-field variation. The specific objectives were to analyze variability in trash content and leaf rating at field scale, load scale, and at the individual round module scale in a fiber-quality map. Analysis is ongoing, but trash content and leaf grade was expected to be variable across and within fields.