LeasyScan: 3D scanning of crop canopy plus seamless monitoring of water use to harnessthe genetics of key traits for drought adaptation uri icon

abstract

  • With the genomics revolution in full swing, relevant phenotypingis now a main bottleneck. New imaging technologiesprovide opportunities for easier, faster and more informativephenotyping of many plant parameters. However, it is criticalthat the development of automated phenotyping be driven by aclear framing of target phenotypes rather than by a technologicalpush, especially for complex constraints. Previous studieson drought adaptation shows the importance of water availabilityduring the grain filling period, which depends on traitscontrolling the plant water budget at earlier stages. We willthen discuss ?cause? and ?consequence? in phenotypes. Drawingon this, a phenotyping platform (LeasyScan) was developedto target canopy development and conductance traits. Basedon a novel 3D scanning technique to capture leaf area developmentcontinuously and a scanner-to-plant concept to increaseimaging throughput, LeasyScan is also equipped with 1488 analyticalscales to measure transpiration seamlessly. Examplesof the first applications are presented: (i) to compare the leafarea development pattern of pearl millet breeding material targetedto different agro-ecological zones, (ii) for the mappingof QTLs for vigour traits in chickpea, shown to co-map with anearlier reported ?drought tolerance? QTL; (iii) for the mappingof leaf area development in pearl millet; (iv) for assessing thetranspiration response to high vapour pressure deficit in differentcrops. This new platform has the potential to phenotypetraits controlling plant water use at a high rate and precision,opening the opportunity to harness their genetics towardsbreeding improved varieties

publication date

  • 2017