Abstract
Because structural variation in the inflorescence architecture of cereal crops can influence yield, it is of interest to identify a means to better evaluate inflorescence architecture across genotypes and thereby facilitate breeding efforts. Manual collection of inflorescence phenotypes can be time consuming and can be technically challenging for some traits. For these reasons, a semiautomated phenotyping pipeline, TIM (Toolkit for Inflorescence Measurement), was developed and used to extract trait data from sorghum panicles.
How to Cite:
Mirnezami, S., Ganapathysubramanian, B., Zhou, Y., Kusmec, A., Fu, Q., Srinivasan, S., Attigala, L., Salas-Fernandez, M. & Schnable, P., (2019) “Semi-Automated Feature Extraction from RGB Images for Sorghum Panicle Architecture”, Iowa State University Research and Demonstration Farms Progress Reports 2018(1).
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