Skip to main content
Fig. 5 | Plant Methods

Fig. 5

From: Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Fig. 5

Raw phenotypic data measured with the Earbox analysis system. (AC) Images from the grain segmentation process (output from the last deep learning iteration). (DF) Measurements of ear diameter (x) for each pixel along ear length (y). (GI) Results of the algorithm counting the number of grains per cohort (x) for each pixel along ear length (y). (JL) Measurement of grain set ratio, the ratio of the number of pixels assigned to grains to the total number of pixels assigned to the ear (x) for every pixel along ear length (y), i.e. a measure of the percentage of the ear filled with grains. (MO) Measurement of grain height (dimension along ear length) for each cohort of grain classified by the algorithm (one point = one cohort) according to its position along ear length (y). PR Measurements of the grain width (x) for each cohort classified by the algorithm (one point = one cohort) according to its position along ear length (y).

Back to article page