Items where Author is "Chapman, Scott"

2024

Xie, Z., Zhao, Y., Jiang, R., Zhang, M., Hammer, G., Chapman, S., Brider, J. and Potgieter, A. B. (2024) Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 . p. 114070. ISSN 0034-4257

2022

Zhi, X., Massey-Reed, S. R., Wu, A., Potgieter, A., Borrell, A., Hunt, C. H., Jordan, D., Zhao, Y., Chapman, S., Hammer, G. and George-Jaeggli, B. (2022) Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum. Plant phenomics (Washington, D.C.), 2022 . p. 9768502. ISSN 2643-6515

2016

Potgieter, A., Watson, J., Jordan, D., Hammer, G., Chapman, S., Laws, K., McLean, G., George-Jaeggli, B., Holland, E. and Eldridge, M. (2016) Field phenotyping of sorghum breeding plots through proximal sensing. In: 5th International Controlled Environment Conference (AusPheno 2016), September 2016.

Hammer, G., Messina, C., van Oosterom, E., Chapman, S., Singh, V., Borrell, A., Jordan, D. and Cooper, M. (2016) Molecular Breeding for Complex Adaptive Traits: How Integrating Crop Ecophysiology and Modelling Can Enhance Efficiency. In: Crop Systems Biology. Springer International Publishing. ISBN 978-3-319-20562-5

Hammer, G., McLean, G., Doherty, A., van Oosterom, E. and Chapman, S. (2016) Sorghum Crop Modeling and Its Utility in Agronomy and Breeding. In: Sorghum: State of the Art and Future Perspectives. Agronomy Monographs (58). American Society of Agronomy and Crop Science Society of America, Inc., Madison, WI. ISBN 978-0-89118-628-1

George-Jaeggli, B., Potgieter, A., Chapman, S., Holland, E., Laws, K., Eldridge, M., Watson, J., Armstrong, R., Bouteillé-Pallas, M., Wixted, J., Cruickshank, A., Furbank, R. T., Von Caemmerer, S. and Jordan, D. (2016) Using remote-sensing technologies to find genetic variation in photosynthetic capacity in sorghum. In: C4 Photosynthesis - 50 years of discovery and innovation, QT Hotel Conference Centre, Canberrra, Australia.

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 . ISSN 13648152