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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

Repeated validation experiments using the LeasyScan platform: leaf area from sectors planted with peanut (white circles, dashed line), cowpea (black circles, dotted line) and pearl millet (black triangle, solid line) in field-like density (16 plants per square metre for pearl millet and 24 plants per square metre for peanut and cowpea) was assessed destructively (observed leaf area) (LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, three to four genotypes were assessed, all fitting the same regression line within each species (symbols not specified for genotypes).
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Figure 5: Repeated validation experiments using the LeasyScan platform: leaf area from sectors planted with peanut (white circles, dashed line), cowpea (black circles, dotted line) and pearl millet (black triangle, solid line) in field-like density (16 plants per square metre for pearl millet and 24 plants per square metre for peanut and cowpea) was assessed destructively (observed leaf area) (LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, three to four genotypes were assessed, all fitting the same regression line within each species (symbols not specified for genotypes).

Mentions: Validation experiments using the PlantEyeR technology prototype: leaf area of individual plants of (A) peanut, (B) cowpea and (C) pearl millet, in which leaf area was assessed destructively (observed leaf area) (Li3000, LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, two genotypes differing with the canopy structure were used (open and closed circles). In this experiment with a prototype scanner, the scanning width was only 32cm, compared to 65cm in the current plaftform (Fig. 5), which restricted resolution for pearl millet.


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)

Repeated validation experiments using the LeasyScan platform: leaf area from sectors planted with peanut (white circles, dashed line), cowpea (black circles, dotted line) and pearl millet (black triangle, solid line) in field-like density (16 plants per square metre for pearl millet and 24 plants per square metre for peanut and cowpea) was assessed destructively (observed leaf area) (LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, three to four genotypes were assessed, all fitting the same regression line within each species (symbols not specified for genotypes).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

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

Figure 5: Repeated validation experiments using the LeasyScan platform: leaf area from sectors planted with peanut (white circles, dashed line), cowpea (black circles, dotted line) and pearl millet (black triangle, solid line) in field-like density (16 plants per square metre for pearl millet and 24 plants per square metre for peanut and cowpea) was assessed destructively (observed leaf area) (LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, three to four genotypes were assessed, all fitting the same regression line within each species (symbols not specified for genotypes).
Mentions: Validation experiments using the PlantEyeR technology prototype: leaf area of individual plants of (A) peanut, (B) cowpea and (C) pearl millet, in which leaf area was assessed destructively (observed leaf area) (Li3000, LICOR, Lincoln, Nebraska, USA) and compared to 3D-leaf area generated by the scanners, during different phases of plant development. For each plant species, two genotypes differing with the canopy structure were used (open and closed circles). In this experiment with a prototype scanner, the scanning width was only 32cm, compared to 65cm in the current plaftform (Fig. 5), which restricted resolution for pearl millet.

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