Items where Author is "Yeates, Stephen J."Group by: Item Type | Date Jump to: Article Number of items: 7. ArticleGrundy, P. R., Spargo, G. M., Yeates, S. J. and Bell, K. L. (2021) Improving subtropical cotton production by using late winter sowing to reduce climatic risk. Field Crops Research, 274 . p. 108308. https://doi.org/10.1016/j.fcr.2021.108308 Grundy, P. R., Yeates, S. J. and Bell, K. L. (2020) Cotton production during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE in response to boll loss and compensation. Field Crops Research, 255 . p. 107868. https://doi.org/10.1016/j.fcr.2020.107868 Yeates, S. J., Strickland, G.R. and Grundy, P. R. (2013) Can sustainable cotton production systems be developed for tropical northern Australia? Crop and Pasture Science, 64 (12). pp. 1127-1140. https://doi.org/10.1071/CP13220 Robertson, M. J., Carberry, P. S., Huth, N. I., Turpin, J.E., Probert, M. E., Poulton, P.L., Bell, M., Wright, G. C., Yeates, S. J. and Brinsmead, R.B. (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research, 53 (4). pp. 429-446. https://doi.org/10.1071/AR01106 Yeates, S. J., Lawn, R. J. and Adkins, S. (2000) Prediction of weather damage of mungbean seed in tropical Australia. I. Relation between seed quality, weather, and reproductive development. Australian Journal of Agricultural Research, 51 (5). pp. 637-648. https://doi.org/10.1071/AR99062 Yeates, S. J., Lawn, R. J. and Adkins, S. (2000) Prediction of weather damage of mungbean seed in tropical Australia. II. Model application. Australian Journal of Agricultural Research, 51 (5). pp. 649-656. https://doi.org/10.1071/AR99086 Summerfield, R.J., Lawn, R.J., Qi, A., Ellis, R.H., Roberts, E.H., Chay, P.M., Brouwer, J.B., Rose, J.L., Shanmugasundaram, S., Yeates, S. J. and Sandover, S. (1993) Towards the reliable prediction of time to flowering in six annual crops. II. soyabean (glycine max). Experimental Agriculture, 29 (3). pp. 253-289. https://doi.org/10.1017/S0014479700020858 |