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

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Abstract

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.

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Rebetzke, G. J., Jimenez-Berni, J. A., Bovill, W. D., Deery, D. M., & James, R. A. (2016). High-throughput phenotyping technologies allow accurate selection of stay-green. Journal of Experimental Botany, 67(17), 4919–4924. https://doi.org/10.1093/jxb/erw301

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