Herbicide tolerance of chickpea varieties - Dongara

2019

Research organisaton
Funding source

Trial details

Researcher(s) N/A
Contact email harmohinder.dhammu@dpird.wa.gov.au
Contact phone 0403 156 942
Year(s) 2019
Contributor Department of Primary Industries and Regional Development WA
Trial location(s) Dongara,
Herbicide tolerance of chickpea varieties - Dongara locations
Aims

To identify herbicide sensitivities of new or potential new chickpea varieties with the view to reduce their yield losses due to herbicide damage.

Key messages

Desi chickpea varieties CBA Captain, Neelam and PBA Striker, and Kabuli chickpea variety Genesis 079 showed good tolerance to a range of chickpea herbicides or herbicide mixtures at the label rates and timings with good crop safety margin.

A new herbicide Ultro® 900 WG at 1.1 kg/ha applied before seeding reduced seed yield of PBA Striker (9%) significantly.

Note: Always follow label recommendations. The Department Primary Industries and Regional Development, does not endorse the use of herbicides above the registered rate or off-label use of herbicides or off-label tank mixes. Crop tolerance and yield responses to herbicides are strongly influenced by seasonal conditions.

Lead research organisation Department of Primary Industries and Regional Development WA
Host research organisation N/A
Trial funding source DPIRD WA
Related program N/A
Acknowledgments

Thanks to DPIRD for funding this research work, Dr Kristy Hobson, for providing seed of new chickpea variety CBA Captain (CICA 1521), Trevor Bell and Larry Prosser, Technical Officers, Research Facility Geraldton, Martin Harries, Research Scientist and Stephany Boyce, Technical Officer, DPIRD Geraldton and Pam Burgess, Technical Officer, DPIRD Esperance for their technical assistance.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Grain Legume: Chickpeas
Treatment type(s)
  • Herbicide: Rate
  • Herbicide: Timing
  • Herbicide: Type
Trial type Experimental
Trial design Randomised

Dongara 2019

Sow rate or Target density 45 plants/m2
Sowing machinery

Coneseeder with knife points and press-wheels and 5 cm deep.

Sow date 15 June 2019 15 June 2019
Harvest date 14 November 2019 14 November 2019
Plot size 8m x 1.15m
Plot replication 3
Plot randomisation Yes
Fertiliser

AgNP 80 kg/ha and Alosca group N granular 10 kg/ha applied with seed at seeding.

Dongara 2019

Sow rate or Target density Not specified
Sowing machinery Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Plot randomisation Not specified
Fertiliser Not specified
Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Dongara, Red sandy loam
Derived trial site soil information
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Dongara
2019 317.9mm
2018 378.5mm
2017 352.2mm
2016 358.0mm
2015 357.2mm
2014 370.3mm
2013 390.4mm
2012 360.6mm
2011 391.0mm
2010 341.2mm
2009 371.1mm
2008 370.7mm
2007 332.8mm
2006 348.0mm
2005 367.9mm
2004 369.7mm
2003 372.4mm
2002 321.8mm
2001 322.8mm
2000 419.5mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Dongara 2019


Observed climate information

Rainfall trial gsr (mm) 243mm

Derived climate information

Dongara

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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Some data on this site is sourced from the Bureau of Meteorology

SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.

Trial report and links

2019 trial report



Trial last modified: 09-11-2020 18:17pm AEST