Cotton Variety Performance, Stability, and Identification: View from the Gin 

December 2023 | 38 min., 02 sec.
by John Gottula
SAS Institute


​The increasing availability of real-world data allows the agricultural value chain to account for quality at the variety level. Cotton presents diverse quality endpoints, with varieties often traced from field to bale. In this study, 79 cotton varieties from 300,000 bales were evaluated across 12 gin-years to determine ginning performance (gin speed), stability (field versus controlled phenotypic data), and potential for probabilistic variety identification. This study demonstrates that varieties can be associated with downstream processing efficiency, that continuous variety properties can be correlated to controlled trial data, and that variety names can be probabilistically imputed, even on tough, real-world holdout samples.

About the Presenter

John Gottula John Gottula​, Director of Crop Science, Agriculture at the SAS Institute, is an ag-tech innovator with an applied crop science background and a passion for analytics. Holding a doctorate from Cornell University, John formerly directed crop biotechnology studies and led global agronomic development programs. He is the co-creator of #AgileAg, a movement to link agile processes with crop science to drive analytics adoption in the agriculture industry.

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