Items where Author is "Huth, Neil I."

2022

Das, B. T., Schmidt, S., Biggs, J., Lester, D. W., Bourne, N. and Huth, N. I. (2022) Simulating long-term nutrient dynamics to better assess soil fertility in subtropical cropping. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

Das, B. T., Schmidt, S., Biggs, J., Lester, D. W., Bourne, N. and Huth, N. I. (2022) Simulating long-term phosphorus, nitrogen, and carbon dynamics to advance nutrient assessment in dryland cropping. Field Crops Research, 285 . p. 108590. https://doi.org/10.1016/j.fcr.2022.108590

2020

Erbacher, A., Lawrence, D., Freebairn, D., Huth, N. I., Anderson, B. and Harris, G. (2020) Cover crops improve ground cover in a very dry season. GRDC Update .

2014

Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., Moore, A. D., Brown, H., Whish, J. P.M., Verrall, S., Fainges, J., Bell, L. W., Peake, A. S., Poulton, P. L., Hochman, Z., Thorburn, P. J., Gaydon, D. S., Dalgliesh, N. P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F. Y., Wang, E., Hammer, G. L., Robertson, M. J., Dimes, J. P., Whitbread, A. M., Hunt, J., van Rees, H., McClelland, T., Carberry, P. S., Hargreaves, J. N.G., MacLeod, N., McDonald, C., Harsdorf, J., Wedgwood, S. and Keating, B. A. (2014) APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software . https://doi.org/10.1016/j.envsoft.2014.07.009

2013

Carberry, P. S., Liang, W.-l., Twomlow, S., Holzworth, D. P., Dimes, J. P., McClelland, T., Huth, N. I., Chen, F., Hochman, Z. and Keating, B. A. (2013) Scope for improved eco-efficiency varies among diverse cropping systems. Proceedings of the National Academy of Sciences, 110 (21). p. 8381. https://doi.org/10.1073/pnas.1208050110

1995

McCown, R.L., Hammer, G. L., Hargreaves, J. N.G., Holzworth, D. and Huth, N. I. (1995) APSIM: an agricultural production system simulation model for operational research. Mathematics and Computers in Simulation, 39 (3-4). pp. 225-231. https://doi.org/10.1016/0378-4754(95)00063-2