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Additional file 3 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 3 Fig. S3. Methodology for manual phenotyping of maize ears. (A) Sample ear from the biological diversity panel. (B) Sample ear from the environmental diversity panel grown under water deficit conditions showing partial pollination an

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Additional file 4 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 4 Fig. S4. (A) Illustration for 3 ears of the processing used to extract ear length from ear masks. The black line represents the centerline of pixels along the main axis of the ear (vertical axis, starting from the bottom to the top

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Additional file 8 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 8 Fig. S8. Comparison of Earbox (y) and reference (x) data. (A) Number of grains per cohort in the basal third. (B) Number of grains per cohort in the apical third. (C) Length of the basal aborted zone in centimeters. (D) Length of th

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Additional file 1 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 1 Fig. S1. Choice of ear rotation angle based on Earbox specifications. (A) Heatmap of the theoretical cumulative ear percentage seen in all 6 images for roller rotation angles between 0° and 360° and diameters between 2cm and 6cm.

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Additional file 6 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 6 Fig. S6. Output of the estimation of the number of cohorts along the perpendicular ear axis. For each position along the ear diameter (x), the number of cohorts (y) is calculated for each ear shown in Fig. 5 with the methodology pre

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Additional file 5 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 5 Fig. S5. Illustration of the image correction applied to project the distances and positions of the reference points onto a hypothetical circular section of the ear. Orange circle, boundaries of the ear. The reference image measurem

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Additional file 2 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 2 Fig. S2. Steps of the deep learning iteration workflow. (A) Steps of the deep learning (DL) workflow and (B,C,D) example images used for 3 typical ears representing the problems encountered and the manual correction performed. (B) T

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Additional file 9 of Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits

Autor: Oury, V., Leroux, T., Turc, O., Chapuis, R., Palaffre, C., Tardieu, F., Prado, S. Alvarez, Welcker, C., Lacube, S.

Additional file 9 Fig. 9. Examples of grain dimensions as a function of cohort and position along the ear across 9 contrasting ears. Each point represents the average dimension of all grains classified in the same cohort (Fig. 5P, 5Q, 5R) across the

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