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Adapting medical sensors helps crop breeders see plants as never before
Monday, 2017/01/09 | 08:46:21

Figure: Ulrich Schurr (left), of Germany’s Forschungszentrum Jülich research center and chair of the International Plant Phenotyping Network (IPPN), and Matthew Reynolds, wheat physiologist of the International Maize and Wheat Improvement Center (CIMMYT), are promoting global partnerships in phenotyping to improve critical food crops, through events like the recent International Crop Phenotyping Symposium. Photo: M.Listman/CIMMYT

 

“Phenotyping” is the application of new technology — including satellite images, airborne cameras, and multi-spectral sensors mounted on robotic carts — to the age-old art of measuring the traits and performance of breeding lines of maize, wheat and other crops, Schurr said.

 

“Farmers domesticated major food crops over millennia by selecting and using seed of individual plants that possessed desirable traits, like larger and better quality grain,” he explained. “Science has helped modern crop breeders to ‘fast forward’ the process, but breeders still spend endless hours in the field visually inspecting experimental plants. Phenotyping technologies can expand their powers of observation and the number of lines they process each year.”

 

Adapting scanning devices and protocols pioneered for human medicine or engineering, phenotyping was initially confined to labs and other controlled settings, according to Schurr.

 

“The push for the field started about five years ago, with the availability of new high-throughput, non-invasive devices and the demand for field data to elucidate the genetics of complex traits like yield or drought and heat tolerance,” he added.

 

Less than 10 years ago, Schurr could count on the fingers of one hand the number of institutions working on phenotyping. “Now, IPPN has 25 formal members and works globally with 50 institutions and initiatives.”

 

See more: http://wheat.org/harnessing-medical-technology-and-global-partnerships-to-drive-gains-in-food-crop-productivity/

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