208-5 High-Throughput Phenotyping the Physiological Responses of Cotton to a Hot, Arid Environment.

Poster Number 294

See more from this Division: C07 Genomics, Molecular Genetics & Biotechnology
See more from this Session: Technological Advances Driving the Next Green Revolution: High Throughput Genotyping and Phenotyping
Tuesday, November 2, 2010
Long Beach Convention Center, Exhibit Hall BC, Lower Level
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Michael Gore1, Andrew French1, Pedro Andrade-Sanchez2, Michael Salvucci1, Kelly Thorp1, Elizabete Carmo-Silva1 and Jeffrey White1, (1)USDA-ARS, Maricopa, AZ
(2)University of Arizona, Maricopa, AZ
In the past century, high yielding cotton has been adapted to the irrigated agricultural areas of central and western Arizona. Despite progress, it will be perhaps a greater challenge to further increase the yield of cotton in this period of global climate change and diminishing fresh water supplies. Genetic improvement of cotton via modern plant breeding is the most sustainable and economical approach to address these eminent problems. However, the development of superior heat tolerant and water-use efficient cotton cultivars has been slowed by a limited knowledge of the physiological processes that relate to improved productivity under supra-optimal temperatures and water deficit. This project is striving to enhance our understanding of which physiological traits are important for higher yield in Arizona. To accomplish this, we are studying the genetic basis of physiological stress responses and productivity in Upland (Gossypium hirsutum) and Pima (Gossypium barbadense) cotton grown under well-watered (heat stress) and water-limited conditions (heat and drought stresses). We present results from a statistical genetic analysis of phenotypic data that were predominantly collected with tractor-based and hand-held senor technologies.
See more from this Division: C07 Genomics, Molecular Genetics & Biotechnology
See more from this Session: Technological Advances Driving the Next Green Revolution: High Throughput Genotyping and Phenotyping
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