Items where Author is "Martin, William"

Article

Li, Y., Ruperao, P., Batley, J., Edwards, D., Martin, W., Hobson, K. and Sutton, T. (2022) Genomic prediction of preliminary yield trials in chickpea: Effect of functional annotation of SNPs and environment. The Plant Genome, 15 (1). e20166. https://doi.org/10.1002/tpg2.20166

Rachaputi, R. C. N., Chauhan, Y. S., Douglas, C. A., Martin, W., Krosch, S., Agius, P. and King, K. (2015) Physiological basis of yield variation in response to row spacing and plant density of mungbean grown in subtropical environments. Field Crops Research, 183 . pp. 14-22. https://doi.org/10.1016/j.fcr.2015.07.013

Conference or Workshop Item

Chauhan, Y. S., Douglas, C. A., Rachaputi, R. C. N., Agius, P., Martin, W., King, K. and Skerman, A. (2010) Physiology of Mungbean and Development of the Mungbean Crop Model. In: 1st Australian Summer Grains Conference, 21st – 24th June 2010., Gold Coast, Australia.

Dataset

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Central Queensland Yield and Quality Data. [Dataset] https://doi.org/10.60699/mqhx-7784

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Diseases. [Dataset] https://doi.org/10.60699/n3zp-ya26

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - NSW Yield and Quality Data. [Dataset] https://doi.org/10.60699/mf8h-9k03

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Southern Queensland Yield and Quality Data. [Dataset] https://doi.org/10.60699/an4v-kx16