High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
Ali Baber,
Huguenin-Bizot Bertrand,
Laurent Maxime
et al.
Abstract:The effects of climate change in the form of drought, heat stress, and irregular seasonal changes threaten global crop production. The ability of multi-omics data, such as transcripts and proteins, to reflect a plant’s response to such climatic factors can be capitalized in prediction models to maximize crop improvement. Implementing multi-omics characterization in routine field evaluations is challenging due to high costs. It is, however, possible to do it on reference genotypes in controlled conditions. Usin… Show more
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