Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice

Published in bioXriv, 2019

Recommended citation: Campbell M.T., Grondin A., Walia H., Morota G. (2019) Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice. bioXriv. http://malachycampbell.github.io/files/MTC_2019_CGM.pdf

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We used a novel, genome-enabled growth model that integrates genome-wide SNP markers and empirical data derived from image-based phenotyping platforms to jointly model water use and shoot biomass trajectories. We show that there is a trade-off between early vigor and drought tolerance, and identify an aquaporin gene, OsPIP1;1, as a potential candidate that regulates the timing of shoot growth responses to water deficit.