Production risk of canola in the semi-arid subtropics of Australia

By M. Robertson, J. Holland. 2004

112 citations recorded by the source corpus.

Subfields: Food Science, General Agricultural and Biological Sciences, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/53d786bccd2d530a8b895df50e779b8dbbb26589

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. James R. Hunt
2. J. Lilley
3. Lindsay W. Bell
4. J. Kirkegaard

In General Agricultural and Biological Sciences

1. James R. Hunt
2. J. Lilley
3. Lindsay W. Bell
4. J. Kirkegaard

In Molecular Biology

1. James R. Hunt
2. J. Lilley
3. Lindsay W. Bell
4. J. Kirkegaard

Citations in the corpus

• Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 1. Wheat (2015, methodology): “The APSIM-Canola model predictions of grain yield and crop biomass have been validated across a range of environments (Robertson et al. 1999a, 2002; Farré et al. 2002; Robertson and Holland 2004; Robertson and Kirkegaard 2005; Wang et al. 2012;McCormick et al. 2015) and further validation was not un”