Potential to improve on-farm wheat yield and WUE in Australia

By Zvi Hochman, D. Holzworth, James R. Hunt. 2009

142 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Ocean Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/c30311c69ad7bc9398e4f4a29acbbe50c378f33e

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In Ecology, Evolution, Behavior and Systematics

In Ocean Engineering

In Soil Science

Citations in the corpus

Yield gap analysis with local to global relevance—A review (2013, methodology): “Furthermore, use of a boundary function may help to determine the presence of limiting factors other than water supply (French and Schultz, 1984; Grassini et al., 2009; Hochman et al., 2009).”
Yield improvement and adaptation of wheat to water-limited environments in Australia—a case study (2014, background): “…yield potential predictions are now also possible with on-farm, computer-based models such as Yield Prophet® that can take account of rainfall distribution along with N supply and soil type, providing inseason opportunities to adjust inputs according to seasonal conditions (Hochman et al. 2009).”
Yield gap analysis of rainfed wheat demonstrates local to global relevance (2016, methodology): “Studies have reported high Y% for some Australian wheat farms, such as a study of leading growers nationally (2004–08), who were users of the Yield Prophet® decision support system, with Y% of 77% (Hochman et al. 2009).”
Yield Gap and Production Gap of Rainfed Winter Wheat in the Southern Great Plains (2014, background): “…defined as the maximum yield that can be obtained by an adapted variety in a specific rainfed environment if no nutritional limitations are present (Hochman et al., 2009; Lobell et al., 2009), and attainable yield (Ya) is defined as the maximum yield ever achieved in a specific environment (i.e.,…”
Closing the gap between actual and potential yield of rainfed wheat. The impacts of environment, management and cultivar (2010, background): “There is an argument to link processbased crop models (McCown et al., 1996; Asseng et al., 2001; Hochman et al., 2009) using meteorological data to simulate soil water, crop phenology, crop nutrient status, potential grain yield and protein, to observations of pest, weed and disease incidence, input”
Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. (2009, unknown): “From this perspective, the performance of YP requires improvement (Hochman et al. 2009).”
New Insights into Soybean Biological Nitrogen Fixation (2018, unknown): “Agronomy Journa l • Volume 110, Issue 4 • 2018 1189 (Tittonell et al., 2008; Hochman et al., 2009).”
Yield gap analysis of field crops: Methods and case studies (2015, background): “Approaches to benchmark yield and quantify yield gaps input of weather variables (O’Leary and Connor 1996; Angus and van Herwaarden 2001; Asseng et al. 2001; Sadras and Rodriguez 2007; Hochman et al. 2009).”
Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. (2009, methodology): “Its many applications to Australian wheat crops largely confirm the view that most commercial crops fall below their water-use potential inAustralia (Cornish and Murray 1989; Beeston et al. 2005; Sadras and Angus 2006; Hochman et al. 2009a).”
Interactions between water and nitrogen in Australian cropping systems: physiological, agronomic, economic, breeding and modelling perspectives (2016, background): “…combine with uncertain rainfall that makes fertiliser investment a risky proposition, nitrogen availability accounts for an important part of the gap between water-limited potential yield and actual yield of wheat (French and Schultz 1984b; Sadras and Roget 2004; Hochman et al. 2009, 2013).”
Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia (2017, background): “Simulation of wheat growth, development and yield in APSIM has been extensively validated in numerous studies across southern Australia (Asseng et al., 2001; Carberry et al., 2009; Hochman et al., 2009; Lilley et al., 2003; Lilley and Kirkegaard, 2007), and no further validation was undertaken here.”