Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality

Articles citing this paper

Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate

Z. Hochman A F , H. van Rees B C , P. S. Carberry D , J. R. Hunt B , R. L. McCown D , A. Gartmann B , D. Holzworth D , S. van Rees B , N. P. Dalgliesh D , W. Long E , A. S. Peake D , P. L. Poulton D and T. McClelland B
+ Author Affiliations
- Author Affiliations

A Agricultural Production Systems Research Unit (APSRU), CSIRO Sustainable Ecosystems, 306 Carmody Road, St Lucia, Qld 4067, Australia.

B BCG, PO Box 85, Birchip, Vic. 3483, Australia.

C Cropfacts P/L, 69 Rooney Rd, RSD Strathfieldsaye, Vic. 3551, Australia.

D Agricultural Production Systems Research Unit (APSRU), CSIRO Sustainable Ecosystems, PO Box 103, Toowoomba, Qld 4350, Australia.

E Ag Consulting Co., PO Box 70, Ardrossan, SA 5571, Australia.

F Corresponding author. Email: zvi.hochman@csiro.au

Crop and Pasture Science 60(11) 1057-1070 https://doi.org/10.1071/CP09020
Submitted: 18 January 2009  Accepted: 23 July 2009   Published: 19 October 2009



135 articles found in Crossref database.

Exploring adaptations of groundnut cropping to prevailing climate variability and extremes in Limpopo Province, South Africa
Hoffmann Munir P., Odhiambo Jude J.O., Koch Marian, Ayisi Kingsley K., Zhao Gang, Soler Alejandra S., Rötter Reimund P.
Field Crops Research. 2018 219 p.1
Adopting “Difference-in-Differences” Method to Monitor Crop Response to Agrometeorological Hazards with Satellite Data: A Case Study of Dry-Hot Wind
Wang Shuai, Rao Yuhan, Chen Jin, Liu Licong, Wang Wenqing
Remote Sensing. 2021 13(3). p.482
Modelling crops and cropping systems—Evolving purpose, practice and prospects
Keating Brian A., Thorburn Peter J.
European Journal of Agronomy. 2018 100 p.163
Farmers in southwestern France think that their arable cropping systems are already adapted to face climate change
Willaume Magali, Rollin Audrey, Casagrande Marion
Regional Environmental Change. 2014 14(1). p.333
Assessing the Potential for Zone‐Specific Management of Cereals in Low‐Rainfall South‐Eastern Australia: Combining On‐Farm Results and Simulation Analysis
Hoffmann M. P., Llewellyn R. S., Davoren C. W., Whitbread A. M.
Journal of Agronomy and Crop Science. 2017 203(1). p.14
Toward a Better Understanding of Genotype × Environment × Management Interactions—A Global Wheat Initiative Agronomic Research Strategy
Beres Brian L., Hatfield Jerry L., Kirkegaard John A., Eigenbrode Sanford D., Pan William L., Lollato Romulo P., Hunt James R., Strydhorst Sheri, Porker Kenton, Lyon Drew, Ransom Joel, Wiersma Jochum
Frontiers in Plant Science. 2020 11
Vernalisation and photoperiod responses of diverse wheat genotypes
Bloomfield Maxwell T., Celestina Corinne, Hunt James R., Huth Neil, Zheng Bangyou, Brown Hamish, Zhao Zhigan, Wang Enli, Stefanova Katia, Hyles Jessica, Rathjen Tina, Trevaskis Ben, Park Robert
Crop & Pasture Science. 2023 74(5). p.405
The history of using rainfall data to improve production in the grain industry in Australia—from Goyder to ENSO
Yates Derek, Vervoort R. Willem, Minasny Budiman, McBratney Alex
Crop and Pasture Science. 2016 67(5). p.467
Scope for improved eco-efficiency varies among diverse cropping systems
Carberry Peter S., Liang Wei-li, Twomlow Stephen, Holzworth Dean P., Dimes John P., McClelland Tim, Huth Neil I., Chen Fu, Hochman Zvi, Keating Brian A.
Proceedings of the National Academy of Sciences. 2013 110(21). p.8381
The Role of Ecosystem Services in Sustainable Food Systems (2020)
Jeranyama Peter, Shrestha Anil, Neupane Nilhari
Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops
Carberry P. S., Hochman Z., Hunt J. R., Dalgliesh N. P., McCown R. L., Whish J. P. M., Robertson M. J., Foale M. A., Poulton P. L., van Rees H.
Crop and Pasture Science. 2009 60(11). p.1044
Searching for meaning: Co-constructing ontologies with stakeholders for smarter search engines in agriculture
Ingram Julie, Gaskell Pete
NJAS: Wageningen Journal of Life Sciences. 2019 90-91(1). p.1
Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield
Peng Bin, Guan Kaiyu, Pan Ming, Li Yan
Geophysical Research Letters. 2018 45(18). p.9662
How will future climates in the Pakistani Punjab rice-wheat system affect the optimal agronomic settings, and can adaptation offset losses?
Gaydon Donald S., Khaliq Tasneem, Ahmad Mobin-ud-Din, Cheema M.J.M.
Field Crops Research. 2023 302 p.109037
Increasing productivity by matching farming system management and genotype in water-limited environments
Kirkegaard J. A., Hunt J. R.
Journal of Experimental Botany. 2010 61(15). p.4129
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
Kamir Elisa, Waldner François, Hochman Zvi
ISPRS Journal of Photogrammetry and Remote Sensing. 2020 160 p.124
Wheat physiology: a review of recent developments
Fischer R. A.
Crop and Pasture Science. 2011 62(2). p.95
Sustainable Food Supply Chains (2019)
Meinke Holger
Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates
McNunn Gabriel, Heaton Emily, Archontoulis Sotirios, Licht Mark, VanLoocke Andy
Frontiers in Sustainable Food Systems. 2019 3
Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with Participatory Research: A Case for Smallholder Farmers in Myanmar
Thar So Pyay, Ramilan Thiagarajah, Farquharson Robert J., Chen Deli
Agriculture. 2021 11(6). p.516
Big Data Challenges and Opportunities in Agriculture
Maya Gopal P.S. , Chintala Bhargavi Renta
International Journal of Agricultural and Environmental Information Systems. 2020 11(1). p.48
Improving Water and Nutrient‐Use Efficiency in Food Production Systems (2013)
Kirkegaard John A., Robertson Michael J.
A global meta-analysis of climate services and decision-making in agriculture
Born Lorna, Prager Steven, Ramirez-Villegas Julian, Imbach Pablo
Climate Services. 2021 22 p.100231
Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts
Jin Huidong, Li Ming, Hopwood Garry, Hochman Zvi, Bakar K Shuvo
Agricultural and Forest Meteorology. 2022 315 p.108832
An alternative approach to whole-farm deficit irrigation analysis: Evaluating the risk-efficiency of wheat irrigation strategies in sub-tropical Australia
Peake A.S., Carberry P.S., Raine S.R., Gett V., Smith R.J.
Agricultural Water Management. 2016 169 p.61
Applying more nitrogen is not always sufficient to address dryland wheat yield gaps in Australia
Lawes Roger, Chen Chao, Whish Jeremy, Meier Elizabeth, Ouzman Jackie, Gobbett David, Vadakattu Gupta, Ota Noboru, van Rees Harm
Field Crops Research. 2021 262 p.108033
Soil mineral nitrogen benefits derived from legumes and comparisons of the apparent recovery of legume or fertiliser nitrogen by wheat
Peoples Mark B., Swan Antony D., Goward Laura, Kirkegaard John A., Hunt James R., Li Guangdi D., Schwenke Graeme D., Herridge David F., Moodie Michael, Wilhelm Nigel, Potter Trent, Denton Matthew D., Browne Claire, Phillips Lori A., Khan Dil Fayaz
Soil Research. 2017 55(6). p.600
Assessment of crop traits retrieved from airborne hyperspectral and thermal remote sensing imagery to predict wheat grain protein content
Longmire A.R., Poblete T., Hunt J.R., Chen D., Zarco-Tejada P.J.
ISPRS Journal of Photogrammetry and Remote Sensing. 2022 193 p.284
Seasonal climate forecasts provide more definitive and accurate crop yield predictions
Brown Jaclyn N., Hochman Zvi, Holzworth Dean, Horan Heidi
Agricultural and Forest Meteorology. 2018 260-261 p.247
Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania
Phelan David C., Harrison Matthew T., McLean Greg, Cox Howard, Pembleton Kieth G., Dean Geoff J., Parsons David, do Amaral Richter Maria E., Pengilley Georgie, Hinton Sue J., Mohammed Caroline L.
Agricultural Systems. 2018 167 p.113
Breadmaking (2012)
Wrigley C.W., Batey I.L.
A Question Mark on Iron Deficiency in 185 Million People of Pakistan: Its Outcomes and Prevention
Ahmed Anwaar, Ahmad Asif, Khalid Nauman, David Angel, Sandhu Mansoor Abdullah, Randhawa Muhammad Atif, Suleria Hafiz Ansar Rasul
Critical Reviews in Food Science and Nutrition. 2014 54(12). p.1617
Assessing the place and role of crop simulation modelling in Australia
Robertson M. J., Rebetzke G. J., Norton R. M.
Crop and Pasture Science. 2015 66(9). p.877
Labour demand – The forgotten input influencing the execution and adoptability of alternative cropping systems in Eastern Australia
Kotir Julius H., Bell Lindsay W., Kirkegaard John A., Whish Jeremy, Aikins Kojo Atta
Agricultural Systems. 2022 203 p.103516
Optimal Nitrogen Rate Can Be Predicted Using Average Yield and Estimates of Soil Water and Leaf Nitrogen with Infield Experimentation
Lawes Roger A., Oliver Yvette M., Huth Neil I.
Agronomy Journal. 2019 111(3). p.1155
Modelled Quantification of Different Sources of Nitrogen Inefficiency in Semi-Arid Cropping Systems
Nasrollahi Niloufar, Hunt James, Tang Caixian, Cann David
Agronomy. 2021 11(6). p.1222
The impact of El Niño Southern Oscillation on seasonal drought in the southern Australian grainbelt
Hayman P. T., Whitbread A. M., Gobbett D. L.
Crop and Pasture Science. 2010 61(7). p.528
Cereal Grains (2017)
Wrigley Colin, Batey Ian, Miskelly Diane
Climate drivers provide valuable insights into late season prediction of Australian wheat yield
Dayal Kavina, Brown Jaclyn N., Waldner François, Lawes Roger, Hochman Zvi, Donohue Randall, Horan Heidi, Chen Yang
Agricultural and Forest Meteorology. 2020 295 p.108202
Evaluating the Agricultural Production Systems sIMulator (APSIM) wheat module for California
George Nicholas Alexander, de Jesus Pedro Cuamba Helio, Lundy Mark E., Bennett Sarita Jane, Cammarano Davide
Crop & Pasture Science. 2024 75(3).
An integrated approach to maintaining cereal productivity under climate change
Reynolds Matthew P., Quilligan Emma, Aggarwal Pramod K., Bansal Kailash C., Cavalieri Anthony J., Chapman Scott C., Chapotin Saharah M., Datta Swapan K., Duveiller Etienne, Gill Kulvinder S., Jagadish Krishna S.V., Joshi Arun K., Koehler Ann-Kristin, Kosina Petr, Krishnan Srivalli, Lafitte Renee, Mahala Rajendra S., Muthurajan Raveendran, Paterson Andrew H., Prasanna Boddupalli M., Rakshit Sujay, Rosegrant Mark W., Sharma Indu, Singh Ravi P., Sivasankar Shoba, Vadez Vincent, Valluru Ravi, Vara Prasad P.V., Yadav Om Prakash
Global Food Security. 2016 8 p.9
Advancing agricultural research using machine learning algorithms
Mourtzinis Spyridon, Esker Paul D., Specht James E., Conley Shawn P.
Scientific Reports. 2021 11(1).
A conceptual framework for guiding the participatory development of agricultural decision support systems
Jakku E., Thorburn P.J.
Agricultural Systems. 2010 103(9). p.675
Flexible forecast presentation overcomes longstanding obstacles to using probabilistic seasonal forecasts
Hansen James W., Dinku Tufa, Robertson Andrew W., Cousin Remi, Trzaska Sylwia, Mason Simon J.
Frontiers in Climate. 2022 4
Cereal Grains (2010)
Wrigley C.W.
APSIM – Evolution towards a new generation of agricultural systems simulation
Holzworth Dean P., Huth Neil I., deVoil Peter G., Zurcher Eric J., Herrmann Neville I., McLean Greg, Chenu Karine, van Oosterom Erik J., Snow Val, Murphy Chris, Moore Andrew D., Brown Hamish, Whish Jeremy P.M., Verrall Shaun, Fainges Justin, Bell Lindsay W., Peake Allan S., Poulton Perry L., Hochman Zvi, Thorburn Peter J., Gaydon Donald S., Dalgliesh Neal P., Rodriguez Daniel, Cox Howard, Chapman Scott, Doherty Alastair, Teixeira Edmar, Sharp Joanna, Cichota Rogerio, Vogeler Iris, Li Frank Y., Wang Enli, Hammer Graeme L., Robertson Michael J., Dimes John P., Whitbread Anthony M., Hunt James, van Rees Harm, McClelland Tim, Carberry Peter S., Hargreaves John N.G., MacLeod Neil, McDonald Cam, Harsdorf Justin, Wedgwood Sara, Keating Brian A.
Environmental Modelling & Software. 2014 62 p.327
BESS-Rice: A remote sensing derived and biophysical process-based rice productivity simulation model
Huang Yan, Ryu Youngryel, Jiang Chongya, Kimm Hyungsuk, Kim Soyoun, Kang Minseok, Shim Kyomoon
Agricultural and Forest Meteorology. 2018 256-257 p.253
Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia
Hochman Zvi, Horan Heidi
Field Crops Research. 2018 228 p.20
Simulating Spring Barley Yield under Moderate Input Management System in Poland
Czembor Elzbieta, Kaczmarek Zygmunt, Pilarczyk Wiesław, Mańkowski Dariusz, Czembor Jerzy H.
Agriculture. 2022 12(8). p.1091
Prospects for ecological intensification of Australian agriculture
Hochman Z., Carberry P.S., Robertson M.J., Gaydon D.S., Bell L.W., McIntosh P.C.
European Journal of Agronomy. 2013 44 p.109
Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology
Janssen Sander J.C., Porter Cheryl H., Moore Andrew D., Athanasiadis Ioannis N., Foster Ian, Jones James W., Antle John M.
Agricultural Systems. 2017 155 p.200
Corn stover harvest N and energy budgets in central Iowa
Malone R.W., Herbstritt S., Ma L., Richard T.L., Cibin R., Gassman P.W., Zhang H.H., Karlen D.L., Hatfield J.L., Obrycki J.F., Helmers M.J., Jaynes D.B., Kaspar T.C., Parkin T.B., Fang Q.X.
Science of The Total Environment. 2019 663 p.776
Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate
Hochman Zvi, Horan Heidi, Reddy D. Raji, Sreenivas Gade, Tallapragada Chiranjeevi, Adusumilli Ravindra, Gaydon Don, Singh Kamalesh K., Roth Christian H.
Agricultural Systems. 2017 150 p.54
APSIM Next Generation: Overcoming challenges in modernising a farming systems model
Holzworth Dean, Huth N.I., Fainges J., Brown H., Zurcher E., Cichota R., Verrall S., Herrmann N.I., Zheng B., Snow V.
Environmental Modelling & Software. 2018 103 p.43
Using fertiliser to maintain soil inorganic nitrogen can increase dryland wheat yield with little environmental cost
Smith Chris J., Hunt James R., Wang Enli, Macdonald Ben C.T., Xing Hongtao, Denmead O.T., Zeglin Steve, Zhao Zhigan
Agriculture, Ecosystems & Environment. 2019 286 p.106644
Graincast™: monitoring crop production across the Australian grainbelt
Lawes R., Hochman Z., Jakku E., Butler R., Chai J., Chen Y., Waldner F., Mata G., Donohue R., Cook Simon
Crop & Pasture Science. 2022 74(6). p.509
Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making
Dalgliesh N. P., Foale M. A., McCown R. L.
Crop and Pasture Science. 2009 60(11). p.1031
Assessing the Potential of Cereal Production Systems to Adapt to Contrasting Weather Conditions in the Mediterranean Region
Abi Saab Marie Therese, Houssemeddine Sellami Mohamed, Giorio Pasquale, Basile Angelo, Bonfante Antonello, Rouphael Youssef, Fahed Salim, Jomaa Ihab, Stephan Chafic, Kabalan Rabih, Massaad Randa, Todorovic Mladen, Albrizio Rossella
Agronomy. 2019 9(7). p.393
Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia
Hochman Zvi, Gobbett David, Holzworth Dean, McClelland Tim, van Rees Harm, Marinoni Oswald, Garcia Javier Navarro, Horan Heidi
Field Crops Research. 2012 136 p.85
Evaluation of nitrogen bank, a soil nitrogen management strategy for sustainably closing wheat yield gaps
Meier Elizabeth A., Hunt James R., Hochman Zvi
Field Crops Research. 2021 261 p.108017
Can genomics assist the phenological adaptation of canola to new and changing environments?
Nelson Matthew N., Lilley Julianne M., Helliwell Chris, Taylor Candy M., Siddique Kadambot H. M., Chen Sheng, Raman Harsh, Batley Jacqueline, Cowling Wallace A.
Crop and Pasture Science. 2016 67(4). p.284
Has historic climate change affected the spatial distribution of water-limited wheat yield across Western Australia?
Fletcher Andrew L., Chen Chao, Ota Noboru, Lawes Roger A., Oliver Yvette M.
Climatic Change. 2020 159(3). p.347
Nitrogen management to optimise canola production in Australia
Norton R. M.
Crop and Pasture Science. 2016 67(4). p.419
Digital soil mapping and assessment for Australia and beyond: A propitious future
Searle Ross, McBratney Alexander, Grundy Mike, Kidd Darren, Malone Brendan, Arrouays Dominique, Stockman Uta, Zund Peter, Wilson Peter, Wilford John, Van Gool Dennis, Triantafilis John, Thomas Mark, Stower Liz, Slater Brian, Robinson Nathan, Ringrose-Voase Anthony, Padarian José, Payne Jim, Orton Thomas, Odgers Nathan, O’Brien Lauren, Minasny Budiman, Bennett John McLean, Liddicoat Craig, Jones Edward, Holmes Karen, Harms Ben, Gray Jonathan, Bui Elisabeth, Andrews Kaitlyn
Geoderma Regional. 2021 24 p.e00359
Tea yield estimation using UAV images and deep learning
Wang Shu-Mao, Yu Cui-Ping, Ma Jun-Hui, Ouyang Jia-Xue, Zhao Zhu-Meng, Xuan Yi-Min, Fan Dong-Mei, Yu Jin-Feng, Wang Xiao-Chang, Zheng Xin-Qiang
Industrial Crops and Products. 2024 212 p.118358
Integrating pest population models with biophysical crop models to better represent the farming system
Whish Jeremy P.M., Herrmann Neville I., White Neil A., Moore Andrew D., Kriticos Darren J.
Environmental Modelling & Software. 2015 72 p.418
How do we enact co-innovation with stakeholders in agricultural research projects? Managing the complex interplay between contextual and facilitation processes
Ingram Julie, Gaskell Pete, Mills Jane, Dwyer Janet
Journal of Rural Studies. 2020 78 p.65
Key drivers of phosphorus use efficiency (PUE) in a dryland cropping system
Das Bianca Tara, Schmidt Susanne, Harrison Matthew Tom, Hunt Ian, Biggs Jody Scott, Huth Neil Ian
Agronomy for Sustainable Development. 2023 43(6).
Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data
Croci Michele, Impollonia Giorgio, Meroni Michele, Amaducci Stefano
Remote Sensing. 2022 15(1). p.100
Profitable, low-emission nitrogen application strategies in Western Australian dryland cropping
d’Abbadie C., Kharel S., Kingwell R., Abadi Ghadim A., Cammarano Davide
Crop & Pasture Science. 2023 75(1).
Simple software processes and tests improve the reliability and usefulness of a model
Holzworth Dean P., Huth Neil I., deVoil Peter G.
Environmental Modelling & Software. 2011 26(4). p.510
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
Potgieter Andries B, Zhao Yan, Zarco-Tejada Pablo J, Chenu Karine, Zhang Yifan, Porker Kenton, Biddulph Ben, Dang Yash P, Neale Tim, Roosta Fred, Chapman Scott, Long Steve
in silico Plants. 2021 3(1).
Prioritizing Crop Management to Increase Nitrogen Use Efficiency in Australian Sugarcane Crops
Thorburn Peter J., Biggs Jody S., Palmer Jeda, Meier Elizabeth A., Verburg Kirsten, Skocaj Danielle M.
Frontiers in Plant Science. 2017 8
Agroforestry: a sustainable environmental practice for carbon sequestration under the climate change scenarios—a review
Abbas Farhat, Hammad Hafiz Mohkum, Fahad Shah, Cerdà Artemi, Rizwan Muhammad, Farhad Wajid, Ehsan Sana, Bakhat Hafiz Faiq
Environmental Science and Pollution Research. 2017 24(12). p.11177
Neither crop genetics nor crop management can be optimised
Sadras Victor O., Denison R. Ford
Field Crops Research. 2016 189 p.75
Food Security and Climate Change (2018)
O'Leary Garry J., Nuttall James G., Redden Robert J., Cantero‐Martinez Carlos, Inés Mínguez M.
Identifying traits for genotypic adaptation using crop models
Ramirez-Villegas Julian, Watson James, Challinor Andrew J.
Journal of Experimental Botany. 2015 66(12). p.3451
Digital soil assessment delivers impact across scales in Australia and the Philippines
Grundy Michael J., Searle Ross, Meier Elizabeth A., Ringrose-Voase Anthony J., Kidd Darren, Orton Thomas G., Triantafilis John, Philip Seonaid, Liddicoat Craig, Malone Brendan, Thomas Mark, Gray Jonathan, Bennett John McLean
Geoderma Regional. 2020 22 p.e00314
Simplicity on the far side of complexity: optimizing nitrogen for wheat in increasingly variable rainfall environments
Hochman Z, Waldner F
Environmental Research Letters. 2020 15(11). p.114060
Tweaking Pakistani Punjab rice-wheat management to maximize productivity within nitrate leaching limits
Gaydon Donald S., Khaliq Tasneem, Ahmad Mobin-ud-Din, Cheema M.J.M., Gull Umair
Field Crops Research. 2021 260 p.107964
Innovation and productivity in dryland agriculture: a return-risk analysis for Australia
CARBERRY P. S., BRUCE S. E., WALCOTT J. J., KEATING B. A.
The Journal of Agricultural Science. 2011 149(S1). p.77
Climate Services Can Support African Farmers' Context-Specific Adaptation Needs at Scale
Hansen James W., Vaughan Catherine, Kagabo Desire M., Dinku Tufa, Carr Edward R., Körner Jana, Zougmoré Robert B.
Frontiers in Sustainable Food Systems. 2019 3
Field-scale modeling of tree–crop interactions: Challenges and development needs
Luedeling Eike, Smethurst Philip J., Baudron Frédéric, Bayala Jules, Huth Neil I., van Noordwijk Meine, Ong Chin K., Mulia Rachmat, Lusiana Betha, Muthuri Catherine, Sinclair Fergus L.
Agricultural Systems. 2016 142 p.51
Climate-Agriculture-Modeling and Decision Tool (CAMDT): A software framework for climate risk management in agriculture
Han Eunjin, Ines Amor V.M., Baethgen Walter E.
Environmental Modelling & Software. 2017 95 p.102
Potential for foliar phosphorus fertilisation of dryland cereal crops: a review
Noack S. R., McBeath T. M., McLaughlin M. J.
Crop and Pasture Science. 2010 61(8). p.659
The changing roles of science in managing Australian droughts: An agricultural perspective
Howden Mark, Schroeter Serena, Crimp Steven, Hanigan Ivan
Weather and Climate Extremes. 2014 3 p.80
On the Future of Argo: A Global, Full-Depth, Multi-Disciplinary Array
Roemmich Dean, Alford Matthew H., Claustre Hervé, Johnson Kenneth, King Brian, Moum James, Oke Peter, Owens W. Brechner, Pouliquen Sylvie, Purkey Sarah, Scanderbeg Megan, Suga Toshio, Wijffels Susan, Zilberman Nathalie, Bakker Dorothee, Baringer Molly, Belbeoch Mathieu, Bittig Henry C., Boss Emmanuel, Calil Paulo, Carse Fiona, Carval Thierry, Chai Fei, Conchubhair Diarmuid Ó., d’Ortenzio Fabrizio, Dall’Olmo Giorgio, Desbruyeres Damien, Fennel Katja, Fer Ilker, Ferrari Raffaele, Forget Gael, Freeland Howard, Fujiki Tetsuichi, Gehlen Marion, Greenan Blair, Hallberg Robert, Hibiya Toshiyuki, Hosoda Shigeki, Jayne Steven, Jochum Markus, Johnson Gregory C., Kang KiRyong, Kolodziejczyk Nicolas, Körtzinger Arne, Traon Pierre-Yves Le, Lenn Yueng-Djern, Maze Guillaume, Mork Kjell Arne, Morris Tamaryn, Nagai Takeyoshi, Nash Jonathan, Garabato Alberto Naveira, Olsen Are, Pattabhi Rama Rao, Prakash Satya, Riser Stephen, Schmechtig Catherine, Schmid Claudia, Shroyer Emily, Sterl Andreas, Sutton Philip, Talley Lynne, Tanhua Toste, Thierry Virginie, Thomalla Sandy, Toole John, Troisi Ariel, Trull Thomas W., Turton Jon, Velez-Belchi Pedro Joaquin, Walczowski Waldemar, Wang Haili, Wanninkhof Rik, Waterhouse Amy F., Waterman Stephanie, Watson Andrew, Wilson Cara, Wong Annie P. S., Xu Jianping, Yasuda Ichiro
Frontiers in Marine Science. 2019 6
A cognitive systems framework to inform delivery of analytic support for farmers’ intuitive management under seasonal climatic variability
McCown R.L.
Agricultural Systems. 2012 105(1). p.7
Crop Science (2019)
van Keulen Herman, Asseng Senthold
Effect of variable crop duration on grain yield of irrigated spring-wheat when flowering is synchronised
Peake A.S., Das B.T., Bell K.L., Gardner M., Poole N.
Field Crops Research. 2018 228 p.183
Practical Applications of Agricultural System Models to Optimize the Use of Limited Water (2015)
Ahuja L.R., Ma Liwang, Lascano Robert J., Saseendran S.A., Fang Q.X., Nielsen David C., Wang Enli, Colaizzi Paul D.
Key research challenges to supporting farm transitions to agroecology in advanced economies. A review
Prost Lorène, Martin Guillaume, Ballot Rémy, Benoit Marc, Bergez Jacques-Eric, Bockstaller Christian, Cerf Marianne, Deytieux Violaine, Hossard Laure, Jeuffroy Marie-Hélène, Leclère Margot, Le Bail Marianne, Le Gal Pierre-Yves, Loyce Chantal, Merot Anne, Meynard Jean-Marc, Mignolet Catherine, Munier-Jolain Nicolas, Novak Sandra, Parnaudeau Virginie, Poux Xavier, Sabatier Rodolphe, Salembier Chloé, Scopel Eric, Simon Sylvaine, Tchamitchian Marc, Toffolini Quentin, van der Werf Hayo
Agronomy for Sustainable Development. 2023 43(1).
Encyclopedia of Sustainability Science and Technology (2018)
van Keulen Herman, Asseng Senthold
Designing agricultural systems from invention to implementation: the contribution of agronomy. Lessons from a case study
Prost Lorène, Reau Raymond, Paravano Laurette, Cerf Marianne, Jeuffroy Marie-Hélène
Agricultural Systems. 2018 164 p.122
The potential for aflatoxin predictive risk modelling in sub-Saharan Africa: a review
Keller B., Russo T., Rembold F., Chauhan Y., Battilani P., Wenndt A., Connett M.
World Mycotoxin Journal. 2022 15(2). p.101
Modelling the manager: Representing rule-based management in farming systems simulation models
Moore Andrew D., Holzworth Dean P., Herrmann Neville I., Brown Hamish E., de Voil Peter G., Snow Valerie O., Zurcher Eric J., Huth Neil I.
Environmental Modelling & Software. 2014 62 p.399
AQUAMAN: a web-based decision support system for irrigation scheduling in peanuts
Chauhan Yashvir S., Wright Graeme C., Holzworth Dean, Rachaputi Rao C. N., Payero José O.
Irrigation Science. 2013 31(3). p.271
How will the next-generation of sensor-based decision systems look in the context of intelligent agriculture? A case-study
Colaço A.F., Richetti J., Bramley R.G.V., Lawes R.A.
Field Crops Research. 2021 270 p.108205
Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability
McCown R.L., Carberry P.S., Dalgliesh N.P., Foale M.A., Hochman Z.
Agricultural Systems. 2012 106(1). p.33
Forage and grain yield of grazed or defoliated spring and winter cereals in a winter-dominant, low-rainfall environment
Frischke Alison. J., Hunt James R., McMillan Dannielle K., Browne Claire J.
Crop and Pasture Science. 2015 66(4). p.308
Climate change through the farming systems lens: challenges and opportunities for farming in Australia
Hayman Peter, Rickards Lauren, Eckard Richard, Lemerle Deirdre
Crop and Pasture Science. 2012 63(3). p.203
Prospects for yield improvement in the Australian wheat industry: a perspective
Robertson Michael, Kirkegaard John, Rebetzke Greg, Llewellyn Rick, Wark Tim
Food and Energy Security. 2016 5(2). p.107
Simulating water lateral inflow and its contribution to spatial variations of rainfed wheat yields
Tenreiro Tomás R., Jeřábek Jakub, Gómez José A., Zumr David, Martínez Gonzalo, García-Vila Margarita, Fereres Elías
European Journal of Agronomy. 2022 137 p.126515
Eco‐efficient Agriculture: Concepts, Challenges, and Opportunities
Keating Brian A., Carberry Peter S., Bindraban Prem S., Asseng Senthold, Meinke Holger, Dixon John
Crop Science. 2010 50(S1).
Summer fallow weed control and residue management impacts on winter crop yield though soil water and N accumulation in a winter-dominant, low rainfall region of southern Australia
Hunt J. R., Browne C., McBeath T. M., Verburg K., Craig S., Whitbread A. M.
Crop and Pasture Science. 2013 64(9). p.922
Rainfed Farming Systems (2011)
Long William (Bill), Cooper Ian
Re-evaluating the contribution of summer fallow rain to wheat yield in southern Australia
Hunt J. R., Kirkegaard J. A.
Crop and Pasture Science. 2011 62(11). p.915
Contribution of Crop Models to Adaptation in Wheat
Chenu Karine, Porter John Roy, Martre Pierre, Basso Bruno, Chapman Scott Cameron, Ewert Frank, Bindi Marco, Asseng Senthold
Trends in Plant Science. 2017 22(6). p.472
Validating APSIM for the Northern Territory of Australia: An environment with challenging weather and soils
Pembleton Keith G., Radanielson Ando M.
Agronomy Journal. 2024
Advances in Agronomy v106 (2010)
Passioura J.B., Angus J.F.
High temporal resolution of leaf area data improves empirical estimation of grain yield
Waldner François, Horan Heidi, Chen Yang, Hochman Zvi
Scientific Reports. 2019 9(1).
Agricultural production systems modelling and software: Current status and future prospects
Holzworth Dean P., Snow Val, Janssen Sander, Athanasiadis Ioannis N., Donatelli Marcello, Hoogenboom Gerrit, White Jeffrey W., Thorburn Peter
Environmental Modelling & Software. 2015 72 p.276
CropGIS – A web application for the spatial and temporal visualization of past, present and future crop biomass development
Machwitz Miriam, Hass Erik, Junk Jürgen, Udelhoven Thomas, Schlerf Martin
Computers and Electronics in Agriculture. 2019 161 p.185
Procedure to estimate ammonia loss after N fertiliser application to moist soil
Fillery Ian R. P., Khimashia Nirav
Soil Research. 2016 54(1). p.1
A modelled quantification of reduced nitrogen fertiliser requirement and associated trade-offs from inclusion of legumes and fallows in wheat-based crop sequences
Flohr B.M., Meier E.A., Hunt J.R., McBeath T.M., Llewellyn R.S.
Field Crops Research. 2024 307 p.109236
Leading farmers in South East Australia have closed the exploitable wheat yield gap: Prospects for further improvement
van Rees Harm, McClelland Tim, Hochman Zvi, Carberry Peter, Hunt James, Huth Neil, Holzworth Dean
Field Crops Research. 2014 164 p.1
Performance of the SSM-iCrop model for predicting growth and nitrogen dynamics in winter wheat
Manschadi A.M., Palka M., Fuchs W., Neubauer T., Eitzinger J., Oberforster M., Soltani A.
European Journal of Agronomy. 2022 135 p.126487
Farmer attitudes to the use of sensors and automation in fertilizer decision-making: nitrogen fertilization in the Australian grains sector
Bramley R. G. V., Ouzman J.
Precision Agriculture. 2019 20(1). p.157
Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia
Bell Lindsay W., Moore Andrew D., Kirkegaard John A.
European Journal of Agronomy. 2014 57 p.10
Sorghum (2019)
Hammer Graeme, McLean Greg, Doherty Al, van Oosterom Erik, Chapman Scott
Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis
Hao Shirui, Ryu Dongryeol, Western Andrew, Perry Eileen, Bogena Heye, Franssen Harrie Jan Hendricks
Agricultural Systems. 2021 194 p.103278
Opportunities for enhancing yield and soil carbon sequestration while reducing N2O emissions in rainfed cropping systems
Luo Zhongkui, Wang Enli, Xing Hongtao, Smith Chris, Wang Guocheng, Cresswell Hamish
Agricultural and Forest Meteorology. 2017 232 p.400
Reprint of “Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia”
Hochman Zvi, Gobbett David, Holzworth Dean, McClelland Tim, van Rees Harm, Marinoni Oswald, Garcia Javier Navarro, Horan Heidi
Field Crops Research. 2013 143 p.65
Effect of a participatory approach on the successful development of agricultural decision support systems: The case of Pigs2win
Van Meensel Jef, Lauwers Ludwig, Kempen Ine, Dessein Joost, Van Huylenbroeck Guido
Decision Support Systems. 2012 54(1). p.164
An APSIM-powered framework for post-rainy sorghum-system design in India
Ronanki Swarna, Pavlík Jan, Masner Jan, Jarolímek Jan, Stočes Michal, Subhash Degala, Talwar Harvinder S., Tonapi Vilas A., Srikanth Mallayee, Baddam Rekha, Kholová Jana
Field Crops Research. 2022 277 p.108422
A method for simulating risk profiles of wheat yield in data-sparse conditions
Bracho-Mujica G., Hayman P.T., Sadras V.O., Ostendorf B.
The Journal of Agricultural Science. 2020 158(10). p.833
Full Parameterisation Matters for the Best Performance of Crop Models: Inter-comparison of a Simple and a Detailed Maize Model
Manschadi A. M., Eitzinger J., Breisch M., Fuchs W., Neubauer T., Soltani A.
International Journal of Plant Production. 2021 15(1). p.61
Ability of alleles of PPD1 and VRN1 genes to predict flowering time in diverse Australian wheat (Triticum aestivum) cultivars in controlled environments
Bloomfield Maxwell T., Hunt James R., Trevaskis Ben, Ramm Kerrie, Hyles Jessica
Crop and Pasture Science. 2018 69(11). p.1061
Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research
McCown R. L., Carberry P. S., Hochman Z., Dalgliesh N. P., Foale M. A.
Crop and Pasture Science. 2009 60(11). p.1017
Long-term cropping system studies support intensive and responsive cropping systems in the low-rainfall Australian Mallee
Whitbread A. M., Davoren C. W., Gupta V. V. S. R., Llewellyn R., Roget the late D.
Crop and Pasture Science. 2015 66(6). p.553
Plant available water capacity (PAWC) of soils predicted from crop yields better reflects within-field soil physicochemical variations
He Di, Oliver Yvette, Rab Abdur, Fisher Peter, Armstrong Roger, Kitching Matt, Wang Enli
Geoderma. 2022 422 p.115958
Strengthening Indonesian Farmers’ Resilience Capacity of Disasters and Climate Change Through Development of Decision Support System: Challenges Lie Ahead
Utomo M, Pieter L
IOP Conference Series: Earth and Environmental Science. 2022 950(1). p.012002
Fast winter wheat phenology can stabilise flowering date and maximise grain yield in semi-arid Mediterranean and temperate environments
Flohr B.M., Hunt J.R., Kirkegaard J.A., Evans J.R., Trevaskis B., Zwart A., Swan A., Fletcher A.L., Rheinheimer B.
Field Crops Research. 2018 223 p.12
Recalculating Australian water scarcity characterisation factors using the AWARE method
Bontinck Paul-Antoine, Grant Tim, Kaewmai Roihatai, Musikavong Charongpun
The International Journal of Life Cycle Assessment. 2021 26(8). p.1687
Confronting Climate Change Challenges to Dryland Cereal Production: A Call for Collaborative, Transdisciplinary Research, and Producer Engagement
Eigenbrode Sanford D., Binns W. Patrick, Huggins David R.
Frontiers in Ecology and Evolution. 2018 5

Committee on Publication Ethics


Abstract Export Citation Get Permission