H. Horan

发表

Reprint of “Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia”

O. Marinoni, D. Holzworth, Z. Hochman, 2013 .

Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia

O. Marinoni, D. Holzworth, Z. Hochman, 2012 .

Multimodel ensembles improve predictions of crop–environment–management interactions

C. Müller, G. Hoogenboom, A. Challinor, 2018, Global change biology.

Global wheat production with 1.5 and 2.0°C above pre‐industrial warming

C. Müller, G. Hoogenboom, M. Bindi, 2019, Global change biology.

Climate change impact and adaptation for wheat protein

C. Müller, G. Hoogenboom, M. Bindi, 2018, Global change biology.

The expected impact of climate change on nitrogen losses from wet tropical sugarcane production in the Great Barrier Reef region

H. Horan, P. Thorburn, P. Roebeling, 2009 .

Climate trends account for stalled wheat yields in Australia since 1990

Z. Hochman, D. Gobbett, H. Horan, 2017, Global change biology.

Evaluation of the APSIM model in cropping systems of Asia

D. R. Sena, K. P. Mohapatra, Balwinder-Singh, 2017 .

POTENTIAL IMPACTS OF MILL MUD ON NITROGEN FERTILISER REQUIREMENTS FOR SUGARCANE PRODUCTION By

H. Horan, P. Thorburn, J. Biggs, 2008 .

Seasonal climate forecasts provide more definitive and accurate crop yield predictions

Jaclyn N. Brown, D. Holzworth, Z. Hochman, 2018, Agricultural and Forest Meteorology.

How well do crop models predict phenology, with emphasis on the effect of calibration?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2019, bioRxiv.

High temporal resolution of leaf area data improves empirical estimation of grain yield

Z. Hochman, H. Horan, F. Waldner, 2019 .

Multi-model evaluation of phenology prediction for wheat in Australia

Tobias K. D. Weber, G. Hoogenboom, T. Palosuo, 2020, bioRxiv.

Title : Global wheat production with 1 . 5 and 2 . 0 ° C above pre-industrial warming Running head : Global wheat production with 1 . 5 ° C warming Paper type : Primary research article

Fulu, Liujun, C. Müller, 2018 .

Smallholder farmers managing climate risk in India: 2. Is it climate-smart?

D. Gaydon, Z. Hochman, H. Horan, 2017 .

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Yan Zhu, Qi Jing, Eric Justes, 2019, European Journal of Agronomy.

Yield gap analysis of rainfed wheat demonstrates local to global relevance

K. Cassman, Z. Hochman, D. Gobbett, 2016, The Journal of Agricultural Science.

Socio-psychological and management drivers explain farm level wheat yield gaps in Australia

Z. Hochman, H. Horan, J. Navarro, 2019, Agronomy for Sustainable Development.

Data fusion using climatology and seasonal climate forecasts improves estimates of Australian national wheat yields

Jaclyn N. Brown, Z. Hochman, H. Horan, 2022, Agricultural and Forest Meteorology.

Calibration of crop phenology models: Going beyond recommendations

A. K. Srivastava, Tobias K. D. Weber, G. Hoogenboom, 2022 .

Calibration of crop phenology models: Going beyond recommendations

A. K. Srivastava, Tobias K. D. Weber, G. Hoogenboom, 2022 .

Calibration of crop phenology models: Going beyond recommendations

A. K. Srivastava, Tobias K. D. Weber, G. Hoogenboom, 2022 .

THE IMPACT OF TRASHING ON SOIL CARBON AND NITROGEN: II: IMPLICATIONS FOR SUGARCANE PRODUCTION IN SOUTH AFRICA

J. Meyer, H. Horan, P. Thorburn, 2002 .

Adapting sugarcane nitrogen management practices to take account of legume fallows.

H. Horan, P. Thorburn, J. Biggs, 2008 .

Data rich yield gap analysis of wheat in Australia

David Gobbett, Zvi Hochman, Heidi Horan, 2016 .

Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia

Zvi Hochman, Heidi Horan, Z. Hochman, 2018, Field Crops Research.

A legume rotation crop lessens the need for nitrogen fertiliser throughout the sugarcane cropping cycle

Peter J. Thorburn, Sarah Park, Tony Webster, 2010 .

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021, Environ. Model. Softw..

Assessing the vulnerability of rural livelihoods in the Pacific to climate change

H. Horan, R. Meyer, J. Bell, 2009 .

High temporal resolution of leaf area data improves empirical estimation of grain yield

François Waldner, Zvi Hochman, Heidi Horan, 2019, Scientific Reports.

The chaos in calibrating crop models

Tobias K. D. Weber, G. Hoogenboom, T. Palosuo, 2020 .

Proposal and extensive test of a calibration protocol for crop phenology models

Gerrit, Tobias K. D. Weber, G. Hoogenboom, 2023, bioRxiv.

Yield potential determines Australian wheat growers’ capacity to close yield gaps while mitigating economic risk

Z. Hochman, H. Horan, M. Monjardino, 2019, Agronomy for Sustainable Development.

The impact of trash management on sugarcane production and nitrogen management: a simulation study.

D. M. Hogarth, Peter J. Thorburn, Jody S. Biggs, 2004 .

WHICH IS THE MOST IMPORTANT CROP WHEN ASSESSING NITROGEN APPLICATIONS - THE NEXT OR THE LAST?

Peter J. Thorburn, I. M. Biggs, H. L. Horan, 2004 .

Evaluating the impact of and capacity for adaptation to climate change on sectors in the sugar industry value chain in Australia.

H. Horan, M. Howden, Sarah Park, 2007 .

Cropping system yield gaps can be narrowed with more optimal rotations in dryland subtropical Australia

Z. Hochman, H. Horan, Haichun Jing, 2020 .

Design of sustainable dryland crop rotations require value judgements and efficient trade-offs

Z. Hochman, H. Horan, L. Bell, 2021 .

Assessing climate risks in rainfed farming using farmer experience, crop calendars and climate analysis

P. Hayman, Z. Hochman, H. Horan, 2015, The Journal of Agricultural Science.

Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate

D. Gaydon, Z. Hochman, H. Horan, 2017 .

Proposal and extensive test of a calibration protocol for crop phenology models

Tobias K. D. Weber, G. Hoogenboom, T. Palosuo, 2023, Agronomy for Sustainable Development.

Socio-psychological and management drivers explain farm level wheat yield gaps in Australia

Z. Hochman, H. Horan, A. Zhang, 2019, Agronomy for Sustainable Development.