Statistical analysis of large simulated yield datasets for studying climate effects
Makowski, D., Asseng, S., Ewert, F., Bassu, S., Durand, J., Martre, P., Adam, M., Aggarwal, P. K., Angulo, C., Baron, C., +39 more...Basso, B., Bertuzzi, P., Biernath, C., Boogard, H., Boote, K. J., Brisson, N., Cammarano, D., Challinor, A. J., Conijn, S., Corbeels, M., Deryng, D., De Sanctis, G., Doltra, J., Gayler, S., Goldberg, R., Grassini, P., Hatfield, J. L., Heng, L., Hoek, S., Hooker, J., Hunt, T., Ingwersen, J., Izaurralde, R. C., Jongschaap, R., Jones, J., Kersebaum, K. C., Kim, S., Lizaso, J., Müller, C., Kumar, N., Nendel, C., O'Leary, G., Olsen, J., Osborne, T., Palosuo, T., Pravia, M., Priesack, E., Semenov, Mikhail
and Stratonovitch, Pierre
(2015)
Statistical analysis of large simulated yield datasets for studying climate effects.
In:
Handbook of climate change and agroecosystems: the Agricultural Model Intercomparison and Improvement Project (AgMIP).
UNSPECIFIED, pp. 279-295.
and Stratonovitch, Pierre
(2015)
Statistical analysis of large simulated yield datasets for studying climate effects.
In:
Handbook of climate change and agroecosystems: the Agricultural Model Intercomparison and Improvement Project (AgMIP).
UNSPECIFIED, pp. 279-295.
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