Items where Author is "Agius, Peter"

Article

Chauhan, Y. S., Sands, D. J., Krosch, S., Agius, P., Frederiks, T. M., Chenu, K. and Williams, R. (2024) Identification of environment similarities using a crop model to assist the cultivation and breeding of a new crop in a new region. Crop and Pasture Science, 75 (1). https://doi.org/10.1071/CP23177

Gentry, J., Lawrence, D., Baskerville, H., Burrett, B., Lester, D. W., Silburn, C., Sands, D. J., Macpherson, I. and Agius, P. (2024) Integrating the L (learning) into PAR (participatory action research). Rural Extension & Innovation Systems Journal, 20 (1). pp. 86-92.

Rachaputi, R. C. N., Sands, D. J., McKenzie, K., Chauhan, Y. S., Bell, K. L., Seyoum, S., Agius, P., Krosch, S. and Lehane, J. (2021) Can partial reduction of shoot biomass during early vegetative phase of chickpea save subsoil water for reproductive and pod filling? Agricultural Water Management, 247 . p. 106704. https://doi.org/10.1016/j.agwat.2020.106704

Rachaputi, R. C. N., Sands, D., McKenzie, K., Agius, P., Lehane, J. and Seyoum, S. (2019) Eco-physiological drivers influencing mungbean [Vigna radiata (L.) Wilczek] productivity in subtropical Australia. Field Crops Research, 238 . pp. 74-81. https://doi.org/10.1016/j.fcr.2019.04.023

Rachaputi, R. C. N., Sands, D., McKenzie, K., Lehane, J., Agius, P., Seyoum, S. and Peak, A. (2019) Water extraction patterns of mungbean (Vigna radiata) in diverse subtropical environments. Agricultural Water Management, 219 . pp. 109-116. https://doi.org/10.1016/j.agwat.2019.04.007

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