Van Loon, J., Krupnik, T. J., López-Gómez, J. A., Timsina, J., and Govaerts, B. 2020. Agronomy 10:1091.
Machine learning: A powerful tool for gene function prediction in plants
Mahood, E. H., Kruse, L. H., and Moghe, G. D. 2020. Applications in Plant Sciences n/a:e11376.
Liu, Y., Helmann, T., Stodghill, P., and Filiatrault , M. 2020. Plant Disease 0:null.
da Silva Pereira, G., Gemenet, D. C., Mollinari, M., Olukolu, B. A., Wood, J. C., Diaz, F., Mosquera, V., Gruneberg, W. J., Khan, A., Buell, C. R., Yencho, G. C., and Zeng, Z.-B. 2020. Genetics 215:579-595.
Shen, H., Dong, S., DiTommaso, A., Li, S., Xiao, J., Yang, M., Zhang, J., Gao, X., Xu, Y., Zhi, Y., Liu, S., Dong, Q., Wang, W., Liu, P., and Xu, J. 2020. Science of The Total Environment 744:140612.
Persistence of soil organic carbon caused by functional complexity
Lehmann, J., Hansel, C. M., Kaiser, C., Kleber, M., Maher, K., Manzoni, S., Nunan, N., Reichstein, M., Schimel, J. P., Torn, M. S., Wieder, W. R., and Kögel-Knabner, I. 2020. Nature Geoscience 13:529-534.
Weed community structure and soybean yields in a long-term organic cropping systems experiment
Ball, M. G., Caldwell, B. A., DiTommaso, A., Drinkwater, L. E., Mohler, C. L., Smith, R. G., and Ryan, M. R. 2019. Weed Science 67:673-681.
Doron, L., Xu, L., Rachmilevitch, S., and Stern, D. B. 2020. Environmental and Experimental Botany 177:104126.