Assessing the Efficiency of Phenotyping Early Traits in a Greenhouse Automated Platform for Predicting Drought Tolerance of Soybean in the Field

Frontiers in Plant Science
Laura S PeironeLuis Aguirrezábal

Abstract

Conventional field phenotyping for drought tolerance, the most important factor limiting yield at a global scale, is labor-intensive and time-consuming. Automated greenhouse platforms can increase the precision and throughput of plant phenotyping and contribute to a faster release of drought tolerant varieties. The aim of this work was to establish a framework of analysis to identify early traits which could be efficiently measured in a greenhouse automated phenotyping platform, for predicting the drought tolerance of field grown soybean genotypes. A group of genotypes was evaluated, which showed variation in their drought susceptibility index (DSI) for final biomass and leaf area. A large number of traits were measured before and after the onset of a water deficit treatment, which were analyzed under several criteria: the significance of the regression with the DSI, phenotyping cost, earliness, and repeatability. The most efficient trait was found to be transpiration efficiency measured at 13 days after emergence. This trait was further tested in a second experiment with different water deficit intensities, and validated using a different set of genotypes against field data from a trial network in a third experiment. The frame...Continue Reading

References

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Mar 11, 2011·Current Opinion in Plant Biology·François TardieuBertrand Muller
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Dec 6, 2017·Frontiers in Plant Science·Luciano VelázquezGustavo Pereyra Irujo
Nov 1, 2012·Functional Plant Biology : FPB·Hendrik PoorterThijs L Pons
Nov 1, 2012·Functional Plant Biology : FPB·Gustavo A Pereyra-IrujoLuis A N Aguirrez Bal

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Methods Mentioned

BETA
genotyping

Software Mentioned

GlyPh
SAS
GraphPad Prism
ImageJ

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