LeasyScan: A novel concept combining 3D
imaging and lysimetry for HTP of traits
controlling plant water budget
ABSTRACT:Relevant phenotyping is a main bottleneck and new technologies provide opportunities for easier, faster, more sensitive and more informative phenotyping. Studies on drought adaptation showed that water
availability during the grain filling period was critical for increasing yield and depended on traits affecting the plant water budget at earlier stages. LeasyScan was developed to assess canopy traits affecting water use
(leaf area, leaf area index, transpiration), based on a novel 3D scanning technique, a scanner-to-plant concept to increase imaging throughput, and analytical scales for transpiration measurements. Close agreement was
found in different crops between scanned and observed leaf area data of individual plants (R2 between 0.86 and 0.94) or of plants cultivated at field densities (R2 between 0.80 and 0.96). This new platform opens the
opportunity to harness their genetics of traits controlling plant water use, of critical importance for drought adaptation, towards the breeding of improved varieties.
RESULTS
INTRODUCTION - New sensor technologies are now available for
phenotyping. But the use of that technology has to be driven by
scientific questions. All starts with the proper framing of a target
phenotype. Studies on drought adaptation has shown that water
availability during the grain filling period was critical. A HTP
platform, LeasyScan was then developed to target traits controlling
plant water use and included:
• 3D scanning to follow leaf area development
• Analytical scales to continuously monitor plant water use
A
B
Observed leaf area of plants grown under field-like density (A-peanut,
24 plant m-2, B-cowpea & C-pearl millet, 16 plant m-2) compared to
scanned area (3D-Leaf area)
MATERIALS AND METHODS
Load Cells
PlantEye F300
Frequency:
Temperature range:
Humidity:
Power:
Laser
class:
Right: Distances used
in the computation.
TH is the target height
used as a reference
50 XZ profile / s
0…40 °C
< 90% rel.
12...230 V
1M
Measures:
485 x 240 x 110
Weight:
3,4 kg
Environmental Protection Rating IP 67
Data transfer:
WiFi
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.
Sensors:
Temperature, RH%,
rainfall, solar radiation,
wind speed
Information in time on plant (top) or
environment (bottom) parameters
visualized through web-based interface Eight scanners (PlantEyeR) can assess
(HortcontrolR) for quality control
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.
3D-point clouds accessed from Hortcontrol
1
Vadez ,
1
Kholová ,
C
3D leaf area development in pearl millet fine mapping recombinants
varying at three marker loci within the terminal drought tolerance
QTL region of LG2 (left), and in pearl millet hybrids bred for different
rainfall zones of India: A1, < 300-400mm; A, B > 400mm (right)
Canopy conductance profile as a function of
thermal time in two sorghum genotypes (VPDinsensitive R16 and VPD-sensitive S35). Differences
between the open and close symbol curves
represent water savings at high vapor pressure
deficit (VPD).
Mapping of traits related to plant vigor (Leaf
area, plant height, growth rate, et...) on LG4 of
chickpea (right), co-mapping with earlier
identified root QTL (left)
QTL for vigor
traits (LA,
plant height,
growth rate)
DISCUSSIONS–
• Platform is up and running - Upgrade with 1488 load cells completed in June 2016
• New algorithm being developed (toward canopy architecture)
• Next steps: (i) add other sensors to the scanners (VIS-RGB) (ii) develop field-based phenotyping
using LeasyScan for validation (early NDVI indices, thermal sensing)
2
Hummel ,
Lead Author: V
J
G
U Zhokhavets2, SK Gupta1, C Tom Hash3
1ICRISAT-India
- 2 Phenospex Ltd - 3 ICRISAT-Niger
Web: www.gems.icrisat.org
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