Technology description LeasyScan: A novel concept combining 3D imaging and lysimetry for high throughput phenotyping of traits controlling plant water budget Vincent Vadez1, Jana Kholová1, Grégoire Hummel2, Uladzimir Zhokhavets2, SK Gupta1, C Tom Hash3 1 ICRISAT-India 2 Phenospex Ltd 3 ICRISAT-Niger Introduction Validation of concept High throughput and precision phenotyping has become the main bottleneck for genetics and breeding Drought adaptation requires the harnessing and tailoring of traits controlling plant water use 3D scanning to follow leaf area development Analytical scales to continuously monitor plant water use C A Cowpea B Pearl millet Leaf area of individual plants of peanut (A), cowpea (B) and pearl millet (C) assessed destructively (observed leaf area) and compared to scanned area (3D-Leaf area) Two genotypes differing with the canopy structure were used (open and closed symbols). Technology description PlantEye F300 Frequency: 50 XZ profile / s Temperature range: 0…40 °C Humidity: < 90% rel. Power: 12...230 V Laser class: 1M Measures: 485 x 240 x 110 Weight: 3,4 kg Environmental Protection Rating IP 67 Data transfer: WiFi A B C Left: 3D object is reconstructed from 2D images (50-80 images s-1) of the reflection (red) of laser line (green) projected from the scanner (PlantEyeR) on the canopy. Right: Distances that are used in the computation. TH is the target height used as a reference height for calculations. Leaf area of plants grown under field-like density (24 plant m-2 for peanut (A), 16 plant m-2 for cowpea (B) and pearl millet (C) assessed destructively (observed leaf area) and compared to scanned area (3D-Leaf area) Three to four genotypes were used per specie, all fitting the same regression (detail not shown) Load Cells 3D leaf area development in a 11 day period in pearl millet fine mapping recombinants varying in parental allele at three marker loci within the terminal drought tolerance QTL region of linkage group 2 (Yadav et al., 2002) (AAA, recurrent; BBB, QTL donor parent). 3D leaf area development in a 11 day period in pearl millet hybrids (a) and B-lines (b) adapted to different agroecological zones of India: A1, rainfall < 300-400mm; A, B rainfall > 400mm Eight scanners (PlantEyeR) can assess 3200/4800 sectors (60×60/60×40) in 2h intervals with standard speed of 50 mm s-1 LeasyScan follows up plant height and canopy size (3D area, projected leaf area). Load cells allows a continuous assessment of plant water use. Canopy conductance profile as a function of thermal time in two sorghum genotypes (VPD-insensitive R16 and VPD-sensitive S35) (left), and two pearl millet genotypes (VPD-insensitive H77/833-2 and VPD-sensitive PRLT-2/89-33) (right). The incept in each figure represents a close-up of a 3-days period between 191 and 227 degree-days. Differences between the open and close symbol curves represent water savings at high VPD. Conclusions Robust assessment of traits controlling plant water use – ideal for genetics System will be used to evaluate chickpea NAM populations Prospects: Measure VPD effect on leaf development from time-series experiments Temperature, RH%, rainfall, solar radiation, wind speed sensors Information in time on plant (top) or environment (middle) parameters visualized through web-based software interface (HortcontrolR) for basic data operations and quality control 3D-point clouds accessed from Hortcontrol