Articles citing this paper
A multisite managed environment facility for targeted trait and germplasm phenotyping
Greg J. Rebetzke A G , Karine Chenu B , Ben Biddulph C , Carina Moeller D , Dave M. Deery A , Allan R. Rattey A , Dion Bennett E , Ed G. Barrett-Lennard C and Jorge E. Mayer F
+ Author Affiliations
- Author Affiliations
A CSIRO Plant Industry, PO Box 1600, Canberra, ACT 2601, Australia.
B Queensland Alliance for Agriculture and Food Innovation, PO Box 102, Toowoomba, Qld 4350, Australia.
C Department of Agriculture and Food, Western Australia Locked Bag 4 Bentley Delivery Centre, Perth, WA 6983, Australia.
D University of Tasmania, Tasmanian Institute of Agriculture, Private Bag 98, Hobart ,Tas. 7001, Australia.
E Australian Grains Technology, Perkins Building, Roseworthy Campus, Roseworthy, SA 5371, Australia.
F Grains Research and Development Corporation, 40 Blackall Street, Barton, ACT 2600, Australia.
G Corresponding author. Email: greg.rebetzke@csiro.au
Functional Plant Biology 40(1) 1-13 https://doi.org/10.1071/FP12180
Submitted: 22 June 2012 Accepted: 18 September 2012 Published: 23 November 2012
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Hickey Lee T,
Fletcher Susan,
Jennings Raeleen,
Chenu Karine, Christopher Jack T
Plant Methods. 2015 11(1). p.13
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Deery David M.,
Rebetzke Greg J.,
Jimenez-Berni Jose A.,
Condon Anthony G.,
Smith David J.,
Bechaz Kathryn M., Bovill William D.
Plant Phenomics. 2020 2020
Agronomic and Physiological Traits, and Associated Quantitative Trait Loci (QTL) Affecting Yield Response in Wheat (Triticum aestivum L.): A Review
Tshikunde Nkhathutsheleni Maureen,
Mashilo Jacob,
Shimelis Hussein, Odindo Alfred
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Houshmandfar Alireza,
Rebetzke Greg J.,
Lawes Roger, Tausz Michael
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MEIER CARINE,
OLIVOTO TIAGO,
NARDINO MAICON,
RIGATTI ALEXSANDER,
KLEIN LUÍS ANTÔNIO,
CARON BRAULIO O.,
MARCHIORO VOLMIR S., SOUZA VELCI Q. DE
Anais da Academia Brasileira de Ciências. 2019 91(3).
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Turner Neil C.,
Blum Abraham,
Cakir Mehmet,
Steduto Pasquale,
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Functional Plant Biology. 2014 41(11). p.1199
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Marcotuli Ilaria,
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Plants. 2021 10(2). p.315
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Salehi Ali,
Jimenez-Berni Jose,
Deery David M.,
Palmer Doug,
Holland Edward,
Rozas-Larraondo Pablo,
Chapman Scott C.,
Georgakopoulos Dimitrios, Furbank Robert T.
Plant Methods. 2015 11(1).
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Plant Phenomics. 2021 2021
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Deery David M.,
Rozas-Larraondo Pablo,
Condon Anthony (Tony) G.,
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James Richard A.,
Bovill William D.,
Furbank Robert T., Sirault Xavier R. R.
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Martre Pierre,
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Trends in Plant Science. 2017 22(6). p.472
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Rebetzke G. J., Norton R. M.
Crop and Pasture Science. 2015 66(9). p.877
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Functional Plant Biology. 2017 44(1). p.169
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Bovill William D.,
Deery David M., James Richard A.
Journal of Experimental Botany. 2016 67(17). p.4919
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Gemenet Dorcus C.,
Hash C. Tom,
Sanogo Moussa D.,
Sy Ousmane,
Zangre Roger G.,
Leiser Willmar L., Haussmann Bettina I.G.
Field Crops Research. 2015 171 p.54
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Smith Alison,
Cullis Brian, Chenu Karine
The Journal of Agricultural Science. 2020 158(6). p.479
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George Timothy,
Hawes Cathy,
Newton Adrian,
McKenzie Blair,
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Agronomy. 2014 4(2). p.242
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Li Ping,
Zou Cheng,
Lu Yanli,
Xie Chuanxiao,
Zhang Xuecai,
Prasanna Boddupalli M., Olsen Michael S.
Journal of Experimental Botany. 2017 68(11). p.2641
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Williamson Laine,
Riethmuller Glen,
Wesley Callum, Hall David
Agronomy. 2021 11(4). p.713
Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley
Rischbeck Pablo,
Elsayed Salah,
Mistele Bodo,
Barmeier Gero,
Heil Kurt, Schmidhalter Urs
European Journal of Agronomy. 2016 78 p.44
Breeding crops for drought-affected environments and improved climate resilience
Cooper Mark, Messina Carlos D
The Plant Cell. 2023 35(1). p.162
Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping
Deery David,
Jimenez-Berni Jose,
Jones Hamlyn,
Sirault Xavier, Furbank Robert
Agronomy. 2014 4(3). p.349
Plant Breeding in the Omics Era (2015)
Yield trends under varying environmental conditions for sorghum and wheat across Australia
Potgieter Andries B.,
Lobell David B.,
Hammer Graeme L.,
Jordan David R.,
Davis Peter, Brider Jason
Agricultural and Forest Meteorology. 2016 228-229 p.276
Stay-green traits to improve wheat adaptation in well-watered and water-limited environments
Christopher John T.,
Christopher Mandy J.,
Borrell Andrew K.,
Fletcher Susan, Chenu Karine
Journal of Experimental Botany. 2016 67(17). p.5159
Field high-throughput phenotyping: the new crop breeding frontier
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Trends in Plant Science. 2014 19(1). p.52
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Verbyla A. P.,
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Crop & Pasture Science. 2022 74(4). p.271
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Goggin Fiona L,
Lorence Argelia, Topp Christopher N
Current Opinion in Insect Science. 2015 9 p.69
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
Cooper Mark,
Messina Carlos D.,
Podlich Dean,
Totir L. Radu,
Baumgarten Andrew,
Hausmann Neil J.,
Wright Deanne, Graham Geoffrey
Crop and Pasture Science. 2014 65(4). p.311
Phenomics in Crop Plants: Trends, Options and Limitations (2015)
Photosynthesis: Structures, Mechanisms, and Applications (2017)
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Guimarães Claudia Teixeira,
Parentoni Sidney Netto,
Guimarães Paulo Evaristo de Oliveira,
Carneiro Newton Portilho,
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Bastos Edson Alves,
Cardoso Milton José,
Anoni Carina de Oliveira,
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de Souza João Cândido,
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Crop Science. 2018 58(1). p.72
High-throughput phenotyping for crop improvement in the genomics era
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Reynolds Mathew,
Pinto Francisco,
Khan Mohd Anwar, Bhat Mohd Ashraf
Plant Science. 2019 282 p.60
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Casadebaig Pierre,
Zheng Bangyou,
Chapman Scott,
Huth Neil,
Faivre Robert,
Chenu Karine, Wu Rongling
PLOS ONE. 2016 11(1). p.e0146385
Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought
Yadav Arun K,
Carroll Adam J,
Estavillo Gonzalo M,
Rebetzke Greg J, Pogson Barry J
Journal of Experimental Botany. 2019 70(18). p.4931
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Bennett Dion,
Reynolds Matthew,
Mullan Daniel,
Izanloo Ali,
Kuchel Haydn,
Langridge Peter, Schnurbusch Thorsten
Theoretical and Applied Genetics. 2012 125(7). p.1473
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Ovenden Ben,
Milgate Andrew,
Lisle Chris,
Wade Len J.,
Rebetzke Greg J., Holland James B.
Theoretical and Applied Genetics. 2017 130(11). p.2445
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Zhao Yan,
Zheng Bangyou,
Chapman Scott C.,
Laws Kenneth,
George-Jaeggli Barbara,
Hammer Graeme L.,
Jordan David R., Potgieter Andries B.
Plant Phenomics. 2021 2021
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
van Eeuwijk Fred A.,
Bustos-Korts Daniela,
Millet Emilie J.,
Boer Martin P.,
Kruijer Willem,
Thompson Addie,
Malosetti Marcos,
Iwata Hiroyoshi,
Quiroz Roberto,
Kuppe Christian,
Muller Onno,
Blazakis Konstantinos N.,
Yu Kang,
Tardieu Francois, Chapman Scott C.
Plant Science. 2019 282 p.23
The phenotype and the components of phenotypic variance of crop traits
Sadras V.O.,
Rebetzke G.J., Edmeades G.O.
Field Crops Research. 2013 154 p.255
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Deery David M.,
Rebetzke Greg J.,
Jimenez-Berni Jose A.,
James Richard A.,
Condon Anthony G.,
Bovill William D.,
Hutchinson Paul,
Scarrow Jamie,
Davy Robert, Furbank Robert T.
Frontiers in Plant Science. 2016 7
Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity
Collins Brian,
Chapman Scott,
Hammer Graeme,
Chenu Karine,
Vadez Vincent, Long Stephen P
in silico Plants. 2021 3(1).
Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate
Collins Brian, Chenu Karine
Climate Risk Management. 2021 32 p.100300
Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model
Dolferus Rudy,
Thavamanikumar Saravanan,
Sangma Harriet,
Kleven Sue,
Wallace Xiaomei,
Forrest Kerrie,
Rebetzke Gregory,
Hayden Matthew,
Borg Lauren,
Smith Alison, Cullis Brian
G3 Genes|Genomes|Genetics. 2019 9(2). p.473
Breeding to adapt agriculture to climate change: affordable phenotyping solutions
Araus José L, Kefauver Shawn C
Current Opinion in Plant Biology. 2018 45 p.237
Characterizing drought stress and trait influence on maize yield under current and future conditions
Harrison Matthew T.,
Tardieu François,
Dong Zhanshan,
Messina Carlos D., Hammer Graeme L.
Global Change Biology. 2014 20(3). p.867
Drought Tolerance Screening of Maize Inbred Lines at an Early Growth Stage
Adhikari Bishnu,
Sa Kyu Jin, Lee Ju Kyong
Plant Breeding and Biotechnology. 2019 7(4). p.326
Agronomic assessment of the durum
Rebetzke G. J.,
Rattey A. R.,
Bovill W. D.,
Richards R. A.,
Brooks B. J.,
Ellis M., Palta Jairo
Crop & Pasture Science. 2022 73(4). p.325
Encyclopedia of Sustainability Science and Technology (2018)
A strategy of ideotype development for heat‐tolerant wheat
Ullah Smi,
Bramley Helen,
Mahmood Tariq, Trethowan Richard
Journal of Agronomy and Crop Science. 2020 206(2). p.229
Climate-smart agriculture global research agenda: scientific basis for action
Steenwerth Kerri L,
Hodson Amanda K,
Bloom Arnold J,
Carter Michael R,
Cattaneo Andrea,
Chartres Colin J,
Hatfield Jerry L,
Henry Kevin,
Hopmans Jan W,
Horwath William R,
Jenkins Bryan M,
Kebreab Ermias,
Leemans Rik,
Lipper Leslie,
Lubell Mark N,
Msangi Siwa,
Prabhu Ravi,
Reynolds Matthew P,
Sandoval Solis Samuel,
Sischo William M,
Springborn Michael,
Tittonell Pablo,
Wheeler Stephen M,
Vermeulen Sonja J,
Wollenberg Eva K,
Jarvis Lovell S, Jackson Louise E
Agriculture & Food Security. 2014 3(1).
A tillering inhibition gene influences root–shoot carbon partitioning and pattern of water use to improve wheat productivity in rainfed environments
Hendriks P.W.,
Kirkegaard J.A.,
Lilley J.M.,
Gregory P.J., Rebetzke G.J.
Journal of Experimental Botany. 2016 67(1). p.327
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
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Ingvordsen Cathrine H,
Hendriks Pieter-Willem,
Smith David J,
Bechaz Kathryn M,
Rebetzke Greg J, Dodd Ian
Journal of Experimental Botany. 2022 73(18). p.6292
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Chauhan Yashvir,
Allard Samantha,
Williams Rex,
Williams Brett,
Mundree Sagadevan,
Chenu Karine, Rachaputi N.C.
Field Crops Research. 2017 204 p.120
Food Security and Climate Change (2018)
Improving process-based crop models to better capture genotype×environment×management interactions
Wang Enli,
Brown Hamish E,
Rebetzke Greg J,
Zhao Zhigan,
Zheng Bangyou, Chapman Scott C
Journal of Experimental Botany. 2019 70(9). p.2389
Awns reduce grain number to increase grain size and harvestable yield in irrigated and rainfed spring wheat
Rebetzke G. J.,
Bonnett D. G., Reynolds M. P.
Journal of Experimental Botany. 2016 67(9). p.2573
Population extremes for assessing trait value and correlated response of genetically complex traits
Rebetzke G.J.,
Richards R.A., Holland J.B.
Field Crops Research. 2017 201 p.122
Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping (2016)
Evaluating the impact of a 2.5–3°C increase in temperature on drought-stressed German wheat cultivars under natural stress conditions
Kunz Karolin,
Hu Yuncai,
Boincean Boris,
Postolatii Alexei, Schmidhalter Urs
Agricultural and Forest Meteorology. 2023 332 p.109378
Biomass Prediction with 3D Point Clouds from LiDAR
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)
Evaluation of the Phenotypic Repeatability of Canopy Temperature in Wheat Using Continuous-Terrestrial and Airborne Measurements
Deery David M.,
Rebetzke Greg J.,
Jimenez-Berni Jose A.,
Bovill William D.,
James Richard A.,
Condon Anthony G.,
Furbank Robert T.,
Chapman Scott C., Fischer Ralph A.
Frontiers in Plant Science. 2019 10
Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity
Cooper Mark,
Voss-Fels Kai P.,
Messina Carlos D.,
Tang Tom, Hammer Graeme L.
Theoretical and Applied Genetics. 2021 134(6). p.1625
Envirotyping for deciphering environmental impacts on crop plants
Xu Yunbi
Theoretical and Applied Genetics. 2016 129(4). p.653
Improved drought tolerance in wheat is required to unlock the production potential of the Brazilian Cerrado
Pereira Jorge Fernando,
Cunha Gilberto Rocca da, Moresco Edina Regina
Crop Breeding and Applied Biotechnology. 2019 19(2). p.217
Canopy architectural and physiological characterization of near-isogenic wheat lines differing in the tiller inhibition gene tin
Moeller Carina,
Evers Jochem B., Rebetzke Greg
Frontiers in Plant Science. 2014 5
Phenotyping: New Windows into the Plant for Breeders
Watt Michelle,
Fiorani Fabio,
Usadel Björn,
Rascher Uwe,
Muller Onno, Schurr Ulrich
Annual Review of Plant Biology. 2020 71(1). p.689
Translating High-Throughput Phenotyping into Genetic Gain
Araus José Luis,
Kefauver Shawn C.,
Zaman-Allah Mainassara,
Olsen Mike S., Cairns Jill E.
Trends in Plant Science. 2018 23(5). p.451
Defining agro-ecological regions for field crops in variable target production environments: A case study on mungbean in the northern grains region of Australia
Chauhan Y.S., Rachaputi Rao C.N.
Agricultural and Forest Meteorology. 2014 194 p.207
Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product
Cooper Mark,
Gho Carla,
Leafgren Roger,
Tang Tom, Messina Carlos
Journal of Experimental Botany. 2014 65(21). p.6191
Review: High-throughput phenotyping to enhance the use of crop genetic resources
Rebetzke G.J.,
Jimenez-Berni J.,
Fischer R.A.,
Deery D.M., Smith D.J.
Plant Science. 2019 282 p.40
Extending the breeder’s equation to take aim at the target population of environments
Cooper Mark,
Powell Owen,
Gho Carla,
Tang Tom, Messina Carlos
Frontiers in Plant Science. 2023 14
Adapting to Climate Change in Agriculture-Theories and Practices (2024)
Large‐scale characterization of drought pattern: a continent‐wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends
Chenu Karine,
Deihimfard Reza, Chapman Scott C.
New Phytologist. 2013 198(3). p.801
Physiological phenotyping of plants for crop improvement
Ghanem Michel Edmond,
Marrou Hélène, Sinclair Thomas R.
Trends in Plant Science. 2015 20(3). p.139
Integration of phenotyping and genetic platforms for a better understanding of wheat performance under drought
Lopes M. S.,
Rebetzke G. J., Reynolds M.
Journal of Experimental Botany. 2014 65(21). p.6167
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Cooper Mark, Messina Carlos D.
Frontiers in Plant Science. 2021 12
More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop
Wang Tien-Cheng,
Casadebaig Pierre, Chen Tsu-Wei
Theoretical and Applied Genetics. 2023 136(3).
Use of a managed stress environment in breeding cotton for a variable rainfall environment
Conaty Warren C.,
Johnston David B.,
Thompson Alan J.E.,
Liu Shiming,
Stiller Warwick N., Constable Greg A.
Field Crops Research. 2018 221 p.265
Genomic tools to assist breeding for drought tolerance
Langridge Peter, Reynolds Matthew P
Current Opinion in Biotechnology. 2015 32 p.130
Crop Improvement from Phenotyping Roots: Highlights Reveal Expanding Opportunities
Tracy Saoirse R.,
Nagel Kerstin A.,
Postma Johannes A.,
Fassbender Heike,
Wasson Anton, Watt Michelle
Trends in Plant Science. 2020 25(1). p.105
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Christy Brendan,
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Tausz Michael,
Richards Richard,
Rebetzke Greg,
Condon Anthony,
McLean Terry,
Fitzgerald Glenn,
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Global Change Biology. 2018 24(5). p.1965
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Cabrera-Bosquet Llorenç,
Pridmore Tony, Bennett Malcolm
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Theoretical and Applied Genetics. 2019 132(3). p.669
