bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: April 2, 2023

Abstract A fundamental challenge to the production of climate-resilient crops is how measure dynamic yield-relevant responses environment, such as growth rate, at a scale which informs mechanistic understanding and accelerates breeding. The timing, duration architectural characteristics inflorescence are crucial for optimising crop productivity have been targets selection during domestication. We report robust versatile procedure computationally assessing environmentally-responsive flowering dynamics. In oilseed crop, Brassica napus, there wide variation in response winter cold (vernalization). subjected diverse set B. napus accessions different vernalization temperatures monitored shoot using automated image acquisition. developed methods infer multiple aspects from this data, enabling characterisation speed, peaks development across types. input these traits genome- transcriptome-wide association studies, identified potentially causative priori phenology genes (including EARLY FLOWERING3) known uncharacterised computed traits. These results could be used marker assisted breeding design new ideotypes improved yield better adaptation changing climatic conditions.

Language: Английский