Centre for Crop Science

Greater uptake of grain legume crops by northern growers

Published on: 21 November 2016

Queensland Pulse Agronomy Initiative project seeks to increase the reliability and yield of summer and winter pulses. View the video here.

Sorghum Crop Outlook February 2019 (Australia)

Published on: 4 April 2018

The latest Sorghum outlook for the main summer cropping region of Australia.

Five decades of leucaena R&D: Is it time to move on?

29 November 2016 12:00pm–1:00pm

in Science Seminars

Associate Professor Max Shelton from the Faculty of Science, School of Agriculture and Food Sciences,
The University of Queensland will present "Five decades of leucaena R&D: Is it time to move on?" in a special SAFS and QAAFI seminar.

African farming trials create food for thought

Published on: 29 August 2016

Small changes in maize-growing techniques are helping farmers in Mozambique boost production.

With the familiar Cavendish banana in danger, can science help it survive?

Published on: 24 October 2016

The familiar bright yellow Cavendish banana is ubiquitous in supermarkets and fruit bowls, but it is in imminent danger.

The face of change

Published on: 17 November 2015

How an avocado researcher became the face of UQ’s advertising campaign

QAAFI researcher is honoured

Published on: 25 November 2015

2015 proved a successful year for QAAFI’s Dr Alice Hayward.

Regional Sorghum Outlook December 2016 (Australia)

Published on: 12 December 2016

Drier conditions protracted into November and below average rainfall was recorded for most parts of southern QLD and northern NSW cropping regions. The exception was for some parts of CQ that received average rainfall during November.

Wheat crop outlook October (Australia)

Published on: 10 October 2016

With the winter cropping season nearing an end, prospects continue to favour an above average winter season with a predicted wheat yield of 1.87 t/ha.

National Wheat Outlook October 2016 (Australia)

Published on: 1 October 2016

Metrics (i.e. Median and percentage deviation) for both maps were derived from a long-term simulated time-series utilising a regional scale biophysical crop model (OZ Wheat MII) for 115 years for each shire.