Crop outlook - Queensland Alliance for Agriculture and Food Innovation

Summer and winter cropping forecasts for Queensland’s wheat and sorghum cropping industries are produced by QAAFI’s experts in the complex integration of spatial production modelling and climate forecasting. These crop outlooks are available for free to view and download by growers.

Wheat outlook (winter)

At present, this early in the winter crop growing season chances are for a very much above average wheat yield during the 2022 wheat-growing season in Queensland. However, there remain large variations in the outlook among local regions. Specifically, while most parts of Queensland have significantly increased chances (>70%) for an above-average wheat yield, some parts of North Qld and South East Qld have average chances (50:50) of this year’s wheat crop being above the long-term median for that region.

With many areas having near full soil moisture profiles, but too wet to plant, drier conditions are needed to induce significant planting opportunities for winter crops across the state. This early in the season, the likely range of yield outcomes remains wide across the state. However, this range will narrow considerably over the next few months as the outlook is updated through the season.

Sorghum outlook (summer)

QAAFI’s regional sorghum crop outlooks cover Queensland and northern New South Wales and are based on cropping after winter fallow, sorghum modelling, actual climate data, up to the forecasting date and projected climate data.

The sorghum crop across the Australian summer grain region for 2021/22 is predicted to be well above average. At a national level (NEAUS) the forecast yield now has converged to 3.47 t/ha, which is above the 90th percentile compared to all years. However, there remains large variation in the outlook among local regions. Specifically, almost all areas of NNSW, SWQ and SEQ have predicted yields well above the long- term median expectation, while most areas in central QLD (CQ) have sorghum yield expectations below the long-term median for that region. Some areas in SEQ also had extensive flooding during early March, which could result in production losses. Note: This yield outlook is based on an average of a maximum of three plantings, depending on timing and rainfall through the summer planting period. In addition, this is based on sowings after a crop-free (fallow) period during the winter season and therefore areas with longer fallow practices are likely to have better yield prospects.

Paddock watch

Paddock Watch allows producers to directly input crop locations on their properties each season, to be used inside an automated prediction framework. Computer simulation and satellite imagery is then used to map crop production estimates at a regional scale across the State.

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Seasonal Harmonics

Seasonal Harmonics depicts the interplay between cropping seasons and different environments. This shows the total summer and winter crop area harvested as well as the production estimates for sorghum and wheat for the last 6 years across northeastern Australia. This was created by integrating daily weather, biophysical modelling and Earth Observations. Note: A downturn in crop area does not necessarily equate to a reduction in crop production (and vice versa). Period: 2014 to 2019.

Download North Eastern Australia Cropping Area Production Estimates from 2014 to 2019

About the researcher

QAAFI’s Dr Andries Potgeiter produces regular seasonal outlooks for sorghum and wheat producers in Queensland. Dr Potgieter (left) obtained a Bachelor of Science (Hons, MSc) in Mathematical Statistics at the University of the Orange Free State in 1991 and completed his PhD in the use of remote-sensing technologies, discriminating between specific and total winter cropping areas across regions and seasons, at the University of Southern Queensland, Australia in 2009. Before coming to QAAFI in 2010, Dr Potgeiter worked for the Queensland Government for more than 11 years as a senior research scientist. His main research interest is in the complex integration of spatial production modelling, climate forecasting and remotely sensed systems at a regional scale. In particular, his interest targets agricultural research that enhances the protifability and sustainability of spatial production systems through a better understanding of the linkages and interactions of such systems across a range of spatial (e.g. field, farm, catchment and national), and temporal (i.e. seasons to decades) scales.