ICRISAT Happenings (18 April 2014)

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ICRISAT

Happenings In-house Newsletter

Photo: PS Rao, ICRISAT

18 April 2014 No. 1619

Photo: J Kane-Potaka, ICRISAT

(Left) Dr W Dar cutting the ribbon to officially launch the LeasyScan phenotyping platform at the ICRISAT headquarters. (Right) Dr V Vadez explaining the importance and function of the platform.

LeasyScan phenotyping platform for better plant drought adaptation opens at ICRISAT

The LeasyScan phenotyping platform is an integral part of our three-pillar approach to speed up breeding, along with genomics and bioinformatics. This unique platform facility is the first of its kind among the CGIAR Centers and will ensure leading edge science in developing best cultivar and management packages fitted to specific drought scenarios,” said Dr William Dar, Director General, ICRISAT. “LeasyScan, a high-throughput phenotyping platform, was designed with a clear research target – to measure leaf area quicker so as to access the dynamics of leaf development and leaf conductance, traits that are the focus for plant drought adaptation,” said Dr Vincent Vadez, Principal Scientist - Plant Physiology, ICRISAT. The high throughput computerized platform based on 3-D images will allow scientists to analyze the phenotypes of plants in greater detail, and conduct

large-scale screening of plants to be linked and integrated into genomics and breeding works to speed up the development of improved, droughtadapted crops. The platform was designed by Dr Vadez, along with Drs Gregoire Hummel and Uladzimir Zhokavets of Phenospex. LeasyScan uses 3-D images to have a better evaluation of leaf canopy parameters, and of a ‘camera-to-plant’ concept to increase the throughput. The high throughput scanning equipment can scan between 3200 to 4800 plots per 2 hours. The platform is a totally new concept with a huge potential. It is meant and designed to be versatile and adaptable to upgrades and to additional sensors and plant parameters. The LeasyScan platform uses the PlantEye® scanner, a camera with a 45 degree angle that captures 3-D images. Several algorithms then operate to extract leaf area, leaf angle, plant height, and average leaf to page 2 ...4


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