96-3 In-Season Wheat Phenotyping for  Breeding and Agronomy Applications.

See more from this Division: C02 Crop Physiology and Metabolism
See more from this Session: Symposium--Field-Based High Throughput Phenotyping
Monday, October 22, 2012: 9:00 AM
Duke Energy Convention Center, Room 200, Level 2
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M. Dreccer, CSIRO, Gatton-QLD, Australia, Scott C. Chapman, Plant Industry, CSIRO, St.Lucia, Australia, Francis Ogbonnaya, Biodiversity and Integrated Gene Management (BIGM) Program, International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria, A. Condon, CSIRO, Canberra, Australia and Matthew Reynolds, Global Wheat Program, CIMMYT, Texcoco de Mora, Mexico
The integration of remote sensing and ancillary data can provide quantitative and dynamic information on crop stress status and other important in-season characteristics. This paper discusses how hyperspectral data, digital images, IR canopy temperature and other data can be combined to fingerprint genotypic and environmental differences in wheat growing under different levels of water and N availability. Crop simulation results utilising some of these variables as inputs are discussed as a tool to predict the phenotype of complex traits, such as water use.
See more from this Division: C02 Crop Physiology and Metabolism
See more from this Session: Symposium--Field-Based High Throughput Phenotyping