A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations
M. J. Feldman, J. Park, N. Miller, C. Wakholi, K. Greene, A. Abbasi, D. A. Rippner, D. Navarre, C. S. Carley, L. M. Shannon, R. Novy
The paper introduces a low-cost, semi-automated machine vision workflow to measure tuber size, shape, and colorimetric features in potato breeding populations, demonstrating reliable and heritable quantitative phenotyping.
bioRxiv · Aug 14, 2023 · PreprintPlant Biology