Mechanism of weed suppression in early vigour and weed suppressive wheat genotypes

2014
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) William Brown (NSW DPI )
James Mwendwa (NSW DPI )
Leslie A Weston (NSW DPI )
Year(s) 2014
Contributor Central West Farming Systems
Trial location(s) Condobolin, NSW
Wagga Wagga, NSW
Mechanism of weed suppression in early vigour and weed suppressive wheat genotypes locations
Aims

To report on mechanisms of weed suppression in early vigour and weed suppressive wheat genotypes.

Key messages
  • In year 1 of this experiment, we demonstrated that genetically diverse wheat cultivars performed differently in two locations with varying rainfall patterns. Significant differences in crop biomass, LAI, weed count and biomass between  cultivars was also location dependent. These results show that although weed suppression in wheat is influenced by genotype, the genotypic response in wheat is clearly influenced by environmental factors as well, when it comes to growth, yield and weed suppression. However, certain cultivars were excellent performers in both locations in terms of weed suppression and crop yields and these included Espada and Condo and to a lesser extent Janz. Additional results will be obtained from metabolomic analyses to evaluate both primary and secondary biosynthetic pathways operational in crop genotypes and to determine if these pathways influence weed suppression in either location over time. The role of hydroxamic acids in weed suppression will be further examined in detail through targeted metabolic profiling in both soils and plant tissue. Additional field experiments will be repeated over the next 3 years to determine impacts of year and location upon wheat cultivar performance and weed suppression.
Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC UCS00200
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Crop: Variety
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Condobolin 2014

Sow date 6 May 2014
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Wagga Wagga 2014

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication 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
Condobolin, NSW Not specified
Wagga Wagga, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Condobolin, NSW Kandosol
Wagga Wagga, NSW Kandosol
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 Condobolin NSW Wagga Wagga NSW
2014 206.0mm544.9mm
2013 206.6mm539.6mm
2012 243.4mm584.2mm
2011 179.2mm598.4mm
2010 185.0mm615.1mm
2009 73.3mm547.6mm
2008 90.9mm555.6mm
2007 80.4mm504.5mm
2006 119.2mm527.0mm
2005 154.3mm574.3mm
2004 155.8mm545.4mm
2003 154.0mm523.7mm
2002 162.4mm544.2mm
2001 230.3mm559.1mm
2000 300.5mm499.5mm
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

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Condobolin NSW

Wagga Wagga NSW

Condobolin NSW

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Wagga Wagga NSW

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

2014 trial report



Trial last modified: 06-08-2019 07:54am AEST