Skip to main content
Fig. 6 | Plant Methods

Fig. 6

From: High-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging

Fig. 6

a Regression model for predicting kernels weight from kernel length and b validation of the kernels weight model (CCC = concordance correlation coefficient; RMSE = root-mean-square error and r = ρ = Pearson’s correlation coefficientfactor). (n = 200). The average kernel weight (total kernel weight divided by the total number of kernels) was measured manually using a digital balance while the average kernel length was extracted from the visible part of the segmented ear

Back to article page