Keywords: decoding modules, SNP array, field transcriptomics, phenotyping

Latest 6 Papers

Universal modules for decoding amplitude and frequency of Ca2+ signals in plants

Authors: Vergara-Valladares, F., Rubio-Melendez, M. E., Charpentier, M., Michard, E., Dreyer, I.

Date: 2025-12-16 · Version: 1

DOI: 10.64898/2025.12.13.694100

Model Organism: General

calcium signaling EF‑hand Ca2+ binding protein decoding modules plant calcium sensors signal amplitude and frequency

Unravelling the intraspecific variation in drought responses in seedlings of European black pine (Pinus nigra J.F. Arnold)

Authors: Ahmad, M., Hammerbacher, A., Priemer, C., Ciceu, A., Karolak, M., Mader, S., Olsson, S., Schinnerl, J., Seitner, S., Schoendorfer, S., Helfenbein, P., Jakub, J., Breuer, M., Espinosa, A., Caballero, T., Ganthaler, A., Mayr, S., Grosskinsky, D. K., Wienkoop, S., Schueler, S., Trujillo-Moya, C., van Loo, M.

Date: 2025-10-21 · Version: 1

DOI: 10.1101/2025.10.20.683360

Model Organism: Pinus nigra

drought tolerance Pinus nigra metabolomics transcriptomics phenotyping

A century of breeding has preserved genetic variation, accumulated favorable alleles, and shaped the Rht gene portfolio in North American spring wheat

Authors: Gill, H. S., Blecha, S., Conley, E., Brault, C., Fiedler, J., Cook, J., Glover, K., Green, A., Read, A. C., Anderson, J. A.

Date: 2025-09-23 · Version: 1

DOI: 10.1101/2025.09.22.677111

Model Organism: Triticum aestivum

Hard red spring wheat genetic diversity Rht dwarfing genes SNP array KASP genotyping

Transcriptomic and physiological responses of soybean plants subjected to a combination of water deficit and heat stress under field conditions

Authors: Sinha, R., Pelaez-Vico, M. A., Dhakal, S., Ghani, A., Myers, R., Verma, M., Shostak, B., Ogden, A., Krueger, C. B., Costa Netto, J. R., Zandalinas, S. I., Joshi, T., Fritschi, F. B., Mittler, R.

Date: 2025-05-11 · Version: 1

DOI: 10.1101/2025.05.07.652738

Model Organism: Glycine max

water deficit heat stress combined stress field transcriptomics soybean

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

Identification of QTLs linked to partial resistance to foot and root rot caused by Fusarium avenaceum and Fusarium oxysporum in faba bean (Vicia faba)

Authors: Webb, A., Thomas, J. E., Davis, H., McAdam, S., Angra, D., O'Sullivan, D. M., Gostkiewicz, K., Capozzi, M., Wood, T. A.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.21.639454

Model Organism: Vicia faba

Vicia faba Fusarium foot and root rot QTL mapping SNP array disease resistance