97800
Improving Water Productivity Using Plant-Based Irrigation Scheduling in Cotton.

Poster Number

See more from this Division: Submissions
See more from this Session: Professional Poster – Crops
Sunday, February 7, 2016
Hyatt Regency Riverwalk San Antonio , Regency Ballroom
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Daryl Chastain, Georgia, University of Georgia - Tifton, Tifton, GA, John Snider, University of Georgia - Tifton, Tifton, GA, Guy D Collins, Crop Science, North Carolina State, Raleigh, NC, Jared Whitaker, University of Georgia, Statesboro, GA, Calvin Perry, CM Stripling Irrigation Research Park, University of Georgia, Camilla, GA and Seth A Byrd, Extension, Texas A&M AgriLife, Lubbock, TX
Typical approaches to irrigation scheduling include calendar-based methods, sensor-based methods and rainfall-budget approaches. Although these methods can result in high crop yields, there is the potential to decrease irrigation amounts, while maintaining high yield, using plant-based indicators of water deficit to trigger irrigation. Direct indicators of plant water status, such as leaf water potential have been used to schedule irrigation in some tree crops; however research on cotton is sparse. To this end, cotton grown in Southern Georgia over two years was irrigated according to the University of Georgia’s checkbook recommendation, as well as by three distinct irrigation thresholds based on ΨPD (-0.5, -0.7, -0.9 MPa).  Our results suggest that: 1) using ΨPD as a means of scheduling irrigation decreased water usage 7 to 9% (-0.5 MPa threshold) to 21 to 31% (-0.9 MPa threshold) relative to the Checkbook for the 2013 and 2014 growing season, respectively. 2) Current irrigation practices may potentially be modified to allow for greater water savings, without incurring yield losses.
See more from this Division: Submissions
See more from this Session: Professional Poster – Crops