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LeasyScan: a novel concept combining 3D imaging and lysimetry for high-throughput phenotyping of traits controlling plant water budget.

Vadez V, Kholová J, Hummel G, Zhokhavets U, Gupta SK, Hash CT - J. Exp. Bot. (2015)

Bottom Line: Close agreement between scanned and observed leaf area data of individual plants in different crops was found (R(2) between 0.86 and 0.94).The last section illustrates some of the early ongoing applications of the platform to target key phenotypes: (i) the comparison of the leaf area development pattern of fine mapping recombinants of pearl millet; (ii) the leaf area development pattern of pearl millet breeding material targeted to different agro-ecological zones; (iii) the assessment of the transpiration response to high VPD in sorghum and pearl millet.This new platform has the potential to phenotype for traits controlling plant water use at a high rate and precision, of critical importance for drought adaptation, and creates an opportunity to harness their genetics for the breeding of improved varieties.

View Article: PubMed Central - PubMed

Affiliation: ICRISAT-Crop Physiology Laboratory, Greater Hyderabad, Patancheru 502324, Telangana, India v.vadez@cgiar.org.

No MeSH data available.


Related in: MedlinePlus

Schema of the scanning unit (PlantEyeR). (A) How the 3D object (canopy; green) is reconstructed from the set of 2D images (50–80 images per second) of the reflection (red) of laser line (green) projected on canopy. (B) The distances (to the ground, DG, to the barcode target, DT, and to the plant, DP) that are used in the computation. TH represents the target height and is used as a reference height for calculations. Pot height is set for the scanners and represents the height below which the data from the 3D data clouds are not used in the calculations.
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Figure 1: Schema of the scanning unit (PlantEyeR). (A) How the 3D object (canopy; green) is reconstructed from the set of 2D images (50–80 images per second) of the reflection (red) of laser line (green) projected on canopy. (B) The distances (to the ground, DG, to the barcode target, DT, and to the plant, DP) that are used in the computation. TH represents the target height and is used as a reference height for calculations. Pot height is set for the scanners and represents the height below which the data from the 3D data clouds are not used in the calculations.

Mentions: The description of the requirements to assess traits altering plant water use in the previous section led to the development of a new platform, LeasyScan, whose principle was to have continuous and simultaneous monitoring of plant water use and leaf canopy development. In brief, the platform uses a set of scanners (PlantEye F300, Phenospex, Heerlen, The Netherlands), which are moved above the plants using a carrier device and generate 3D point clouds of the crop canopy, from which the leaf area and several other plant parameters are extracted after a segmentation process of the 3D data cloud (Fig. 1, scanner display).


LeasyScan: a novel concept combining 3D imaging and lysimetry for high-throughput phenotyping of traits controlling plant water budget.

Vadez V, Kholová J, Hummel G, Zhokhavets U, Gupta SK, Hash CT - J. Exp. Bot. (2015)

Schema of the scanning unit (PlantEyeR). (A) How the 3D object (canopy; green) is reconstructed from the set of 2D images (50–80 images per second) of the reflection (red) of laser line (green) projected on canopy. (B) The distances (to the ground, DG, to the barcode target, DT, and to the plant, DP) that are used in the computation. TH represents the target height and is used as a reference height for calculations. Pot height is set for the scanners and represents the height below which the data from the 3D data clouds are not used in the calculations.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4585418&req=5

Figure 1: Schema of the scanning unit (PlantEyeR). (A) How the 3D object (canopy; green) is reconstructed from the set of 2D images (50–80 images per second) of the reflection (red) of laser line (green) projected on canopy. (B) The distances (to the ground, DG, to the barcode target, DT, and to the plant, DP) that are used in the computation. TH represents the target height and is used as a reference height for calculations. Pot height is set for the scanners and represents the height below which the data from the 3D data clouds are not used in the calculations.
Mentions: The description of the requirements to assess traits altering plant water use in the previous section led to the development of a new platform, LeasyScan, whose principle was to have continuous and simultaneous monitoring of plant water use and leaf canopy development. In brief, the platform uses a set of scanners (PlantEye F300, Phenospex, Heerlen, The Netherlands), which are moved above the plants using a carrier device and generate 3D point clouds of the crop canopy, from which the leaf area and several other plant parameters are extracted after a segmentation process of the 3D data cloud (Fig. 1, scanner display).

Bottom Line: Close agreement between scanned and observed leaf area data of individual plants in different crops was found (R(2) between 0.86 and 0.94).The last section illustrates some of the early ongoing applications of the platform to target key phenotypes: (i) the comparison of the leaf area development pattern of fine mapping recombinants of pearl millet; (ii) the leaf area development pattern of pearl millet breeding material targeted to different agro-ecological zones; (iii) the assessment of the transpiration response to high VPD in sorghum and pearl millet.This new platform has the potential to phenotype for traits controlling plant water use at a high rate and precision, of critical importance for drought adaptation, and creates an opportunity to harness their genetics for the breeding of improved varieties.

View Article: PubMed Central - PubMed

Affiliation: ICRISAT-Crop Physiology Laboratory, Greater Hyderabad, Patancheru 502324, Telangana, India v.vadez@cgiar.org.

No MeSH data available.


Related in: MedlinePlus