Keywords: paralog processing, deep learning, ascorbate, barley

Latest 21 Papers

Botanic Spectrum Analyser: A Deep Learning GUI for Plant Image Segmentation in Hyperspectral and RGB Phenotyping

Authors: Walsh, J. J., Gorgu, L., Cavel, E., Poulain, V., Gutierrez, L., Mangina, E., Negrao, S.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.14.676080

Model Organism: Multi-species

plant phenotyping image segmentation U‑Net hyperspectral imaging deep learning

From Photoperiod Thresholds to Photoperiod sensitivity: Dual Strategies for Cost-Effective Speed Breeding and Climate-Ready Barley

Authors: Rossi, N., Powell, W., Halliday, K., Sharma, R.

Date: 2025-09-07 · Version: 1

DOI: 10.1101/2025.09.04.674238

Model Organism: Hordeum vulgare

flowering time photoperiod response speed breeding allelic variation barley

New molecular players: siRNA expression and gene regulation in Hordeum vulgare ageing seeds after germination

Authors: Puchta-Jasinska, M., Bolc, P., Motor, A., Boczkowska, M.

Date: 2025-08-01 · Version: 1

DOI: 10.1101/2025.07.28.667253

Model Organism: Hordeum vulgare

small interfering RNAs seed viability barley RNA‑directed DNA methylation trans‑acting siRNAs

Phenotypic scoring of Canola Blackleg severity using machine learning image analysis

Authors: Hu, Q., Anderson, S. N., Gardner, S., Ernst, T. W., Koscielny, C. B., Bahia, N. S., Johnson, C. G., Jarvis, A. C., Hynek, J., Coles, N., Falak, I., Charne, D. R., Ruidiaz, M. E., Linares, J. N., Mazis, A., Stanton, D. J.

Date: 2025-07-22 · Version: 1

DOI: 10.1101/2025.07.17.665372

Model Organism: Multi-species

blackleg disease canola (Brassica spp.)deep learning image-based phenotyping disease severity scoring

Post-Domestication selection of MKK3 Shaped Seed Dormancy and End-Use Traits in Barley

Authors: Jorgensen, M. E., Vequaud, D., Wang, Y., Andersen, C. B., Bayer, M., Box, A., Braune, K., Cai, Y., Chen, F., Antonio Cuesta-Seijo, J., Dong, H., Fincher, G. B., Gojkovic, Z., Huang, Z., Jaegle, B., Kale, S. M., Krsticevic, F., Roux, P.-M. L., Lozier, A., Lu, Q., Mascher, M., Murozuka, E., Nakamura, S., Simmelsgaard, M. U., Pedas, P. R., Pin, P., Sato, K., Spannagl, M., Rasmussen, M. W., Russell, J., Schreiber, M., Thomsen, H. C., Tulloch, S., Thomsen, N. W., Voss, C., Skadhauge, B., Stein, N., Waugh, R., Willerslev, E., Dockter, C.

Date: 2025-07-16 · Version: 1

DOI: 10.1101/2025.07.11.664137

Model Organism: Hordeum vulgare

grain dormancy pre-harvest sprouting MKK3 MAPK pathway barley

RegenPGC View: Semantic Segmentation of Perennial Groundcover Cropping Systems to Restore American Croplands

Authors: Meyering, B., Schlautman, B.

Date: 2025-07-06 · Version: 1

DOI: 10.1101/2025.07.03.663038

Model Organism: General

perennial groundcovers cover cropping deep learning convolutional neural network image‑based phenotyping

Unraveling the cis-regulatory code controlling abscisic acid-dependent gene expression in Arabidopsis using deep learning

Authors: Opdebeeck, H., Smet, D., Thierens, S., Minne, M., De Beukelaer, H., Zuallaert, J., Van Bel, M., Van Montagu, M., Degroeve, S., De Rybel, B., Vandepoele, K.

Date: 2025-06-06 · Version: 1

DOI: 10.1101/2025.06.03.657584

Model Organism: Arabidopsis thaliana

Abscisic acid Arabidopsis thaliana deep learning promoter motifs ABF binding sites

Arabidopsis lines with modified ascorbate concentrations reveal a link between ascorbate and auxin biosynthesis

Authors: Fenech, M., Zulian, V., Moya-Cuevas, J., Arnaud, D., Morilla, I., Smirnoff, N., Botella, M. A., Stepanova, A. N., Alonso, J. M., Martin-Pizarro, C., Amorim-Silva, V.

Date: 2025-05-16 · Version: 1

DOI: 10.1101/2025.05.15.654287

Model Organism: Arabidopsis thaliana

ascorbate Arabidopsis thaliana auxin biosynthesis redox homeostasis transcriptomics

Deciphering the Sequence Basis and Application of Transcriptional Initiation Regulation in Plant Genomes Through Deep Learning

Authors: Gao, P., Lian, L., Feng, W., Ma, Y., Lin, J., Qin, L., Hao, S., Zhao, H., Liu, X., Yuan, J., Lin, Z., Li, X., Guan, Y., Wang, X.

Date: 2025-04-24 · Version: 1

DOI: 10.1101/2025.04.22.649999

Model Organism: Glycine max

transcription start site promoter motifs deep learning soybean domestication plant gene regulation

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Authors: Wang, Z., Zenkl, R., Greche, L., De Solan, B., Bernigaud Samatan, L., Ouahid, S., Visioni, A., Robles-Zazueta, C. A., Pinto, F., Perez-Olivera, I., Reynolds, M. P., Zhu, C., Liu, S., D'argaignon, M.-P., Lopez-Lozano, R., Weiss, M., Marzougui, A., Roth, L., Dandrifosse, S., Carlier, A., Dumont, B., Mercatoris, B., Fernandez, J., Chapman, S., Najafian, K., Stavness, I., Wang, H., Guo, W., Virlet, N., Hawkesford, M., Chen, Z., David, E., Gillet, J., Irfan, K., Comar, A., Hund, A.

Date: 2025-03-19 · Version: 1

DOI: 10.1101/2025.03.18.642594

Model Organism: Triticum aestivum

wheat semantic segmentation computer vision deep learning phenotyping

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