High-throughput phenotyping technologies allow accurate selection of stay-green

Improved genotypic performance in water-limited environments relies on traits, like 'stay-green', that are robust and repeatable, correlate well across a broader range of target environments and are genetically more tractable than assessment of yield per se. Christopher et al. (see pages 5159-5172) used multi-temporal, Normalised Difference Vegetative Index (NDVI) measurements with crop simulation modelling to demonstrate the value of various stay-green phenotype parameters for improving grain yield across different environment types.