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. 2023 Aug 28;14:1248446. doi: 10.3389/fpls.2023.1248446

Table 1.

Description of 20 traits obtained by high-throughput phenotypic measurement method and system.

Traits Abbreviations Descriptions Unit Category
Barren tip length BTL The projected length from the top of the ear to the furthest kernel on the ear. cm Traditional trait
Ear length EL Average ear height in each image after axial distortion correction. cm Traditional trait
Ear perimeter EP Average ear diameter calculated from image sequence using 2πr formula for circumference. cm Traditional trait
Ear width EW Average value of the diameter of ears. cm Traditional trait
Kernel number per ear KNE Total number of kernels on each ear of maize. count Traditional trait
Kernel number per row KNR Kernel count for the central row of maize ear is identified by selecting the highest count of kernels within the central area of the ear image. count Traditional trait
Row number per ear RNE Divide maize ear image into three paths from left to right, identify the number of kernel rows in each path, calculate the average, and use it as the final row count count Traditional trait
Average kernel area AKA Projected area of the kernel canopy after the kernels are spread out. cm2 Novel trait
Barren tip area BTA The surface area on top of the ear/cob without kernels. cm2 Novel trait
Ear B EB The mean blue (B) color channel value in the effective region of a maize ear. Novel trait
Ear G EG The mean green (G) color channel value in the effective region of a maize ear. Novel trait
Ear R ER The mean red (R) color channel value in the effective region of a maize ear. Novel trait
Ear shape ES Uses a non-sphericity index to indicate the similarity of a maize ear’s shape to that of a sphere. Novel trait
Ear surface area ESA Calculated using numerical integration to determine the surface area of a maize ear. cm2 Novel trait
Ear volume EV Calculated using numerical integration to determine the volume of a maize ear. cm3 Novel trait
Kernel B KB Mean value of the B color channel of kernels within the effective area. Novel trait
Kernel G KG Mean value of the G color channel of kernels within the effective area. Novel trait
Kernel R KR Mean value of the R color channel of kernels within the effective area. Novel trait
Kernel thickness KT Average distance between adjacent kernels is considered as kernel thickness to determine distance between centers of adjacent kernels along the row kernel path. cm Novel trait
Kernel width KW Average length of the crown of the kernel. cm Novel trait