James R. Hunt

Plant Science · 2009–2019

A researcher in the Science corpus: 9 papers; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 52 citations into it
• Ecology, Evolution, Behavior and Systematics — 36 citations into it; #1,383 of 6,648 by trust here, #1,104 by citations
• Agronomy and Crop Science — 30 citations into it; #746 of 880 by trust here, #205 by citations
• Global and Planetary Change — 26 citations into it; #6,008 of 10,225 by trust here, #8,219 by citations
• Soil Science — 22 citations into it; #1,150 of 2,166 by trust here, #1,093 by citations
• Forestry — 12 citations into it; #101 of 295 by trust here, #92 by citations
• Environmental Engineering — 8 citations into it
• Oceanography — 7 citations into it

Whom James R. Hunt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zvi Hochman
2. V. Sadras
3. Peter S. Carberry
4. Stephen J. Jeffrey
5. J. Kirkegaard
6. R. Mccown
7. John O. Carter
8. Lindsay W. Bell
9. J. Angus
10. G. Rebetzke

Who trusts James R. Hunt overall

1. R. Richards
2. J. Kirkegaard
3. Zvi Hochman
4. B. Flohr
5. David L. Gobbett
6. Heidi Horan
7. Peter S. Carberry
8. J. Passioura

Papers from James R. Hunt's perspective

Ordered by how strongly the researchers James R. Hunt trusts endorse each paper. Same corpus, a different order for every researcher.

1. Potential to improve on-farm wheat yield and WUE in Australia
2. Using spatial interpolation to construct a comprehensive archive of Australian climate data (Environmental Modelling & Software)
3. Modelled wheat phenology captures rising temperature trends: Shortened time to flowering and maturity in Australia and Argentina
4. Predicting growth and development of pigeonpea: a simulation model
5. Modelling decomposition of sugar cane surface residues with APSIM–Residue
6. The DSSAT cropping system model
7. Crop design for specific adaptation in variable dryland production environments (Crop and Pasture Science)
8. Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments
9. Potential benefits of early vigor and changes in phenology in wheat to adapt to warmer and drier climates.
10. Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects (Agronomy Journal)

Their papers

• Early sowing systems can boost Australian wheat yields despite recent climate change (2019) — 197 citations
• Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia (2017) — 163 citations
• Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 1. Wheat (2015) — 103 citations
• APSIM - Evolution towards a new generation of agricultural systems simulation (2014) — 1,561 citations
• Yield improvement and adaptation of wheat to water-limited environments in Australia—a case study (2014) — 107 citations
• Re-evaluating the contribution of summer fallow rain to wheat yield in southern Australia (2011) — 103 citations
• Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. (2009) — 183 citations
• Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. (2009) — 106 citations
• Potential to improve on-farm wheat yield and WUE in Australia (2009) — 142 citations