Research showed that sowing delays can cut potential yields
on duplex soils by up to 14 kg per hectare per day in a short
season environment, or 9 kg/ha/day in a long season environment.
Last season’s challenging conditions saw Western Australia’s canola crop
shrink from a five year average of half a million hectares to
300,000ha, meaning many growers missed out on record prices. Dry
conditions vindicated the decision not to sow, but in more
moderate seasons, such as that expected this year, the choice
may not be so clear.
With support from growers and the Federal Government through
the Grains Research and
Development Corporation (GRDC), CSIRO Plant Industry
researcher, Imma Farre has run a century of weather statistics
through state-of-the-art modelling software to help zero in on
the ‘point of no financial return’ for canola crops.
"Canola is sensitive to water deficiencies during grain
filling. So, when filling occurs later in the season, as
rainfall subsides and soil moisture diminishes, yield suffers
and returns can plummet or be lost altogether.
"Delaying sowing pushes grain filling further into spring and
shortens the time from sowing to flowering, which can also
reduce yield. In short season environments, with dry finishes,
these effects are more profound," Dr Farre said.
According to Dr Farre’s simulation, the 100 year average
yield fell from 1.6 t/ha when sown at April 1 to 0.6 t/ha at
June 30 in Mullewa (short season) and from 2.6 t/ha to 1.9 t/ha
at the same dates in Kojonup (long season).
The GRDC project involved collaboration from the Agricultural
Production Systems Research Unit (Qld), which supplied the
modelling system. Inputs for the system were derived from
weather records at the two sites and were calibrated against
trial results from Department of Agriculture projects.
"These systems will help predict likely yield under
prevailing conditions, so growers can calculate whether to
persist with a canola crop if the break is delayed," she said.
While these simulations assumed soil types, sowing densities
and canola variety (Karoo), future research will adapt the model
to account for manipulating variables.