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Creating Drought-Tolerant Cotton for West Texas

Principal Investigators: Hong Zhang, Dick Auld, John Zak, Thomas Thompson


Introduce the AVP1 gene into the germplasms of commercial cotton varieties Raider 276 and Fiber Max 958, as well as our recently developed line "naked-tufted". Our earlier work showed that overexpression of AVP1 in Coker 312 significantly improved drought- and salt-tolerance in transgenic cotton; therefore we predict that by breeding the AVP1 gene into the commercial cotton lines we will improve drought- and salt-tolerance of the selected commercial cotton lines that are adapted to the Texas High Plains. In order to create more drought-tolerant cotton varieties, we will introduce another gene, i.e. IPT, into cotton because our preliminary research indicates that increased expression of IPT under drought conditions could significantly improve drought tolerance in transgenic plants.

Development and Evaluation of A Rapid Measurement Of Cotton Spinnability Limits

Principal Investigators: Mourad Krifa, Dean Ethridge


Combine a critical yarn quality parameter (number of thin places per unit of yarn length) with the traditional indicator of spinning performance (ends-down per unit of running time) in order to develop procedures for a more rapid and meaningful determination of spinnability limits of cotton fibers on the ring spinning system. Apply these procedures toward determining appropriate end-uses for cottons with diverse fiber properties, in order to assist (1) global cotton merchants and spinning mills in identifying U.S. cottons they need, and (2) breeders and agronomists in their efforts to provide these cottons.

Economic Efficiency Analysis of Cotton Production in the Texas High Plains

Principal Investigators: Chenggang Wang, Kevin Bronson, Eduardo Segarra


Provide a comprehensive efficiency analysis of cotton production in the Texas High Plains.

Specific Objectives:

  • Identify key factors and management strategies that can help produce cotton lint with revenue-enhancing quality attributes.
  • Determine cost-minimizing combinations of water and fertilizer inputs in accordance with soil conditions, slope positions, and other environmental factors.
  • Identify profit-maximizing management strategies.