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Dryland Legume, Grass & Saltbush Trial

Dryland Legume, Grass & Saltbush Trial

Nyabing, Western Australia

  • Author: SWCC
  • Date Posted: Aug 27, 2014
  • Category:
  • Address: Nyabing, Western Australia

Project Details

Project Delivery: Individual Landholder

Contact: Danielle Short (SWCC-Narrogin). Ph 9881 0202. Email:

Website: SWCC Sustainable Agriculture

Start Date:  June 2014                     End Date: Dec 2017

Site ID:  SF11

Size Are Ha: 65


Project Aim

The project aim is to revegetate 65-75ha of low lying, partially saline agricultural land using saltbush and suitable pastures. The aim is to also change the perception that saline areas are unproductive, and expensive to rehabilitate, thus aim to change behavior, by using this trial as a vehicle to spread knowledge and to increase adoption rates throughout the region by encouraging other farmers to rehabilitate salty areas with similar pastures and management practices.


The project involves a 65-75 hectare site of low lying; saline country with a scoldy creek running through it which currently has limited productivity potential. The area is currently sown to annual pastures with the main persisting plant being barley grass. The area is to be sown from east to west across the landscape, effectively giving two replicates on either side of the creekline/scold. The area will be interrowed with saltbush and the treatment plots of pasture in-between. The treatments are salt tolerant pastures as prescribed by Phil Barrett-Lennard, including Tall Wheat Grass, Enduro Balansa Clover, Sardi Persian Clover, Bartolo Bladder Clover, Tedera, and Messina”. It is believed establishment of these species will improve soil biology and structure and will greatly improve the productivity of this site.
A control area will be set aside, to compare the difference between original ground and trial sites. Comparisons can be made using soil tests (nutrient, moisture and pH), Visual assessment including groundcover, and species %, photo monitoring at quarterly intervals and grazing data such as days grazed, stocking rate, FOO (Food on Offer) and ground cover % (both before and after grazing event).


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