This repository supports OAI 2.0 with a base URL of https://repository.rothamsted.ac.uk/oai2

Latest additions

Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change

Chaichana, T., Reeve, G., Piboonrungroj, P., Muangprathub, J., Kunno, J., Robson, M. G. and Drury, B. 2024. Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change. Data in Brief. 56 (October), p. 110881. https://doi.org/10.1016/j.dib.2024.110881

An array of Zymoseptoria tritici effectors suppress plant immune responses

Thynne, E., Ali, H., Seong, K., Abukhalaf, M., Guerreiro, M. A., Flores-Nunez, V. M., Hansen, R., Bergues, A., Salman, M. J., Rudd, J. J., Kanyuka, K., Tholey, A., Krasileva, K. V., Kettles, G. J. and Stukenbrock, E. H. 2024. An array of Zymoseptoria tritici effectors suppress plant immune responses. Molecular Plant Pathology. 25 (10), p. e13500. https://doi.org/10.1111/mpp.13500

Phenotyping the nutritional status of crops using proximal and remote sensing techniques

Cudjoe, D. 2024. Phenotyping the nutritional status of crops using proximal and remote sensing techniques. F - Theses Rothamsted Research Sustainable Crops and Soils

Caatinga Microbiome Initiative: disentangling the soilmicrobiome across areas under desertification andrestoration in the Brazilian drylands

Araujo, A. S. F., Medeiros, E. V. D., Costa, D. P. D., Mendes, L. W., Cherubin, M. R., Neto, F. D. A., Beirigo, R. M., Lambais, G. R., Melo, V. M. M., Nobrega, G. G., Barbosa, H. A., Mota, J. C. A., Santana, R. M., Kavamura, V. N., Borges, W. L. and Pereira, A. P. A. 2024. Caatinga Microbiome Initiative: disentangling the soilmicrobiome across areas under desertification andrestoration in the Brazilian drylands. Restoration Ecology. p. e14298. https://doi.org/10.1111/rec.14298

Hyperspectral imaging for phenotyping plant drought stress and nitrogen interactions using multivariate modelling and machine learning techniques in wh

Okyere, F., Cudjoe, D., Virlet, N., Castle, M., Riche, A. B., Greche, L., Mohareb, F., Simms, D., Mhada, M. and Hawkesford, M. J. 2024. Hyperspectral imaging for phenotyping plant drought stress and nitrogen interactions using multivariate modelling and machine learning techniques in wh. Remote Sensing. 16 (18), p. 3446. https://doi.org/10.3390/rs16183446