Register      Login
Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology

Articles citing this paper

High throughput phenotyping of root growth dynamics, lateral root formation, root architecture and root hair development enabled by PlaRoM

Nima Yazdanbakhsh A B and Joachim Fisahn A
+ Author Affiliations
- Author Affiliations

A Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam Golm, Germany.

B Corresponding author. Email: yazdanbakhsh@mpimp-golm.mpg.de

This paper originates from a presentation at the 1st International Plant Phenomics Symposium, Canberra, Australia, April 2009.

Functional Plant Biology 36(11) 938-946 https://doi.org/10.1071/FP09167
Submitted: 2 July 2009  Accepted: 15 July 2009   Published: 5 November 2009



62 articles found in Crossref database.

A proposal to explain how the circatidal rhythm of the Arabidopsis thaliana root elongation rate could be mediated by the lunisolar gravitational force: a quantum physical approach
Fisahn Joachim, Barlow Peter, Dorda Gerhard
Annals of Botany. 2017
Root Genomics and Soil Interactions (2012)
Rouf Mir Reyazul, Thudi Mahendar, Chamarthi Siva K., Krishnamurthy L., Gaur Pooran M., Varshney Rajeev K.
Agricultural Bioinformatics (2014)
Palakolanu Sudhakar Reddy, Vadez Vincent, Nese Sreenivasulu, Kavi Kishor P. B.
Root phenotyping: from component trait in the lab to breeding: Table 1.
Kuijken René C.P., van Eeuwijk Fred. A., Marcelis Leo F.M., Bouwmeester Harro J.
Journal of Experimental Botany. 2015 66(18). p.5389
Arabidopsis thaliana root elongation growth is sensitive to lunisolar tidal acceleration and may also be weakly correlated with geomagnetic variations
Barlow Peter W., Fisahn Joachim, Yazdanbakhsh Nima, Moraes Thiago A., Khabarova Olga V., Gallep Cristiano M.
Annals of Botany. 2013 111(5). p.859
MyROOT 2.0: An automatic tool for high throughput and accurate primary root length measurement
González Alejandro, Sevillano Xavier, Betegón-Putze Isabel, Blasco-Escámez David, Ferrer Marc, Caño-Delgado Ana I.
Computers and Electronics in Agriculture. 2020 168 p.105125
Circadian control of root elongation and C partitioning in Arabidopsis thaliana
YAZDANBAKHSH NIMA, SULPICE RONAN, GRAF ALEXANDER, STITT MARK, FISAHN JOACHIM
Plant, Cell & Environment. 2011 34(6). p.877
Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil
Mooney S. J., Pridmore T. P., Helliwell J., Bennett M. J.
Plant and Soil. 2012 352(1-2). p.1
SPIRO – the automated Petri plate imaging platform designed by biologists, for biologists
Ohlsson Jonas A., Leong Jia Xuan, Elander Pernilla H., Ballhaus Florentine, Holla Sanjana, Dauphinee Adrian N., Johansson Johan, Lommel Mark, Hofmann Gero, Betnér Staffan, Sandgren Mats, Schumacher Karin, Bozhkov Peter V., Minina Elena A.
The Plant Journal. 2024 118(2). p.584
Image Harvest: an open-source platform for high-throughput plant image processing and analysis
Knecht Avi C., Campbell Malachy T., Caprez Adam, Swanson David R., Walia Harkamal
Journal of Experimental Botany. 2016 67(11). p.3587
An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis
Lee Unseok, Chang Sungyul, Putra Gian Anantrio, Kim Hyoungseok, Kim Dong Hwan, Candela Hector
PLOS ONE. 2018 13(4). p.e0196615
The responses of lateral roots and root hairs to nitrogen stress in cotton based on daily root measurements
Zhu Lingxiao, Liu Liantao, Sun Hongchun, Zhang Yongjiang, Liu Xiuwei, Wang Nan, Chen Jing, Zhang Ke, Bai Zhiying, Wang Guiyan, Tian Liwen, Li Cundong
Journal of Agronomy and Crop Science. 2022 208(1). p.89
Digital Agriculture (2024)
Kumari Priya, Gangwar Himanshi, Kumar Vishal, Jaiswal Vandana, Gahlaut Vijay
Modeling and Visualization of Rice Roots Based on Morphological Parameters
Yang Le, Peng Jun, Shao Peng
IEEE Access. 2020 8 p.23407
A consensus map of QTLs controlling the root length of maize
Hund Andreas, Reimer Regina, Messmer Rainer
Plant and Soil. 2011 344(1-2). p.143
Phenotyping cowpea for seedling root architecture reveals root phenes important for breeding phosphorus efficient varieties
Mohammed Saba B., Burridge James D., Ishiyaku Mohammad F., Boukar Ousmane, Lynch Jonathan P.
Crop Science. 2022 62(1). p.326
Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments
Afonnikov D. A., Genaev M. A., Doroshkov A. V., Komyshev E. G., Pshenichnikova T. A.
Russian Journal of Genetics. 2016 52(7). p.688
High resolution in situ rhizosphere imaging of root growth dynamics in oilseed castor plant (Ricinus communis L.) using digital scanners
Nahar Kamrun, Pan W. L.
Modeling Earth Systems and Environment. 2019 5(3). p.781
Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics
Das Abhiram, Schneider Hannah, Burridge James, Ascanio Ana Karine Martinez, Wojciechowski Tobias, Topp Christopher N., Lynch Jonathan P., Weitz Joshua S., Bucksch Alexander
Plant Methods. 2015 11(1).
Agricultural Biotechnology: Latest Research and Trends (2021)
Yumurtaci Aysen, Sipahi Hulya
Cell to whole-plant phenotyping: the best is yet to come
Dhondt Stijn, Wuyts Nathalie, Inzé Dirk
Trends in Plant Science. 2013 18(8). p.428
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives
Yang Wanneng, Feng Hui, Zhang Xuehai, Zhang Jian, Doonan John H., Batchelor William David, Xiong Lizhong, Yan Jianbing
Molecular Plant. 2020 13(2). p.187
Recent advances in methods for in situ root phenotyping
Li Anchang, Zhu Lingxiao, Xu Wenjun, Liu Liantao, Teng Guifa
PeerJ. 2022 10 p.e13638
A novel mesh processing based technique for 3D plant analysis
Paproki Anthony, Sirault Xavier, Berry Scott, Furbank Robert, Fripp Jurgen
BMC Plant Biology. 2012 12(1). p.63
A high-throughput method to quantify root hair area in digital images taken in situ
Vincent Christopher, Rowland Diane, Na Chaein, Schaffer Bruce
Plant and Soil. 2017 412(1-2). p.61
Maize Improvement (2023)
Basavaraj P. S., Rane Jagadish, Prathibha M. D., Boraiah K. M., Kumar Mahesh
Deep learning-based high-throughput phenotyping can drive future discoveries in plant reproductive biology
Warman Cedar, Fowler John E.
Plant Reproduction. 2021 34(2). p.81
Omics Technologies for Sustainable Agriculture and Global Food Security (Vol II) (2021)
Bohra Abhishek, Satheesh Naik S. J., Kumari Anita, Tiwari Abha, Joshi Rohit
GiA Roots: software for the high throughput analysis of plant root system architecture
Galkovskyi Taras, Mileyko Yuriy, Bucksch Alexander, Moore Brad, Symonova Olga, Price Charles A, Topp Christopher N, Iyer-Pascuzzi Anjali S, Zurek Paul R, Fang Suqin, Harer John, Benfey Philip N, Weitz Joshua S
BMC Plant Biology. 2012 12(1).
From lab to field, new approaches to phenotyping root system architecture
Zhu Jinming, Ingram Paul A, Benfey Philip N, Elich Tedd
Current Opinion in Plant Biology. 2011 14(3). p.310
Dissecting spatiotemporal biomass accumulation in barley under different water regimes using high‐throughput image analysis
Neumann Kerstin, Klukas Christian, Friedel Swetlana, Rischbeck Pablo, Chen Dijun, Entzian Alexander, Stein Nils, Graner Andreas, Kilian Benjamin
Plant, Cell & Environment. 2015 38(10). p.1980
TILLING and Eco-TILLING for Crop Improvement (2023)
Magudeeswari P., Meitei A. Loyanganba, James M., Tyagi Wricha, Rai Mayank
High‐throughput two‐dimensional root system phenotyping platform facilitates genetic analysis of root growth and development
CLARK RANDY T., FAMOSO ADAM N., ZHAO KEYAN, SHAFF JON E., CRAFT ERIC J., BUSTAMANTE CARLOS D., MCCOUCH SUSAN R., ANESHANSLEY DANIEL J., KOCHIAN LEON V.
Plant, Cell & Environment. 2013 36(2). p.454
A Novel Image-Analysis Toolbox Enabling Quantitative Analysis of Root System Architecture    
Lobet Guillaume, Pagès Loïc, Draye Xavier
Plant Physiology. 2011 157(1). p.29
Omics in Plant Breeding (2014)
Jesus Frederico Almeida, Zsögön Agustin, Peres Lázaro Eustáquio Pereira
The World’s Challenge (2014)
Guillou Marion, Matheron Gérard
Mutations in leaf starch metabolism modulate the diurnal root growth profiles ofArabidopsis thaliana
Yazdanbakhsh Nima, Fisahn Joachim
Plant Signaling & Behavior. 2011 6(7). p.995
Organic Crop Breeding (2012)
Messmer Monika, Hildermann Isabell, Thorup‐Kristensen Kristian, Rengel Zed
A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping
Gill Taqdeer, Gill Simranveer K., Saini Dinesh K., Chopra Yuvraj, de Koff Jason P., Sandhu Karansher S.
Phenomics. 2022 2(3). p.156
Future and frontiers of automated screening in plant sciences
Kolukisaoglu Üner, Thurow Kerstin
Plant Science. 2010 178(6). p.476
Marker-Assisted Plant Breeding: Principles and Practices (2015)
Singh B. D., Singh A. K.
The Circadian-clock Regulates the Arabidopsis Gravitropic Response
Tolsma Joseph S., Ryan Kaetlyn T., Torres Jacob J., Richards Jeffrey T., Richardson Zach, Land Eric S., Perera Imara Y., Doherty Colleen J
Gravitational and Space Research. 2021 9(1). p.171
Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping
Tanabata Takanari, Kodama Kunihiro, Hashiguchi Takuyu, Inomata Daisuke, Tanaka Hidenori, Isobe Sachiko
Breeding Science. 2022 72(1). p.85
PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits
Sandhu Jaspreet, Zhu Feiyu, Paul Puneet, Gao Tian, Dhatt Balpreet K., Ge Yufeng, Staswick Paul, Yu Hongfeng, Walia Harkamal
Plant Methods. 2019 15(1).
The platform GrowScreen-Agar enables identification of phenotypic diversity in root and shoot growth traits of agar grown plants
Nagel Kerstin A., Lenz Henning, Kastenholz Bernd, Gilmer Frank, Averesch Andreas, Putz Alexander, Heinz Kathrin, Fischbach Andreas, Scharr Hanno, Fiorani Fabio, Walter Achim, Schurr Ulrich
Plant Methods. 2020 16(1).
High-Throughput Phenotyping in Plants (2012)
Yazdanbakhsh Nima, Fisahn Joachim
Future Scenarios for Plant Phenotyping
Fiorani Fabio, Schurr Ulrich
Annual Review of Plant Biology. 2013 64(1). p.267
A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice
Duan Lingfeng, Yang Wanneng, Huang Chenglong, Liu Qian
Plant Methods. 2011 7(1).
High-Throughput Crop Phenotyping (2021)
Tiwari Jagesh Kumar, Changan Sushil S., Buckseth Tanuja, Singh Rajesh K., Singh Brajesh, Luthra Satish K., Rawat Shashi, Kumar Manoj
DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots
Symonova Olga, Topp Christopher N., Edelsbrunner Herbert, De Smet Ive
PLOS ONE. 2015 10(6). p.e0127657
Biotechnologies for Plant Mutation Breeding (2017)
Slota Michal, Maluszynski Miroslaw, Szarejko Iwona
Arabidopsis thaliana root growth kinetics and lunisolar tidal acceleration
Fisahn Joachim, Yazdanbakhsh Nima, Klingele Emile, Barlow Peter
New Phytologist. 2012 195(2). p.346
Computer Vision - ECCV 2014 Workshops (2015)
Nakini Tushar Kanta Das, DeSouza Guilherme N.
High-throughput volumetric reconstruction for 3D wheat plant architecture studies
Fang Wei, Feng Hui, Yang Wanneng, Duan Lingfeng, Chen Guoxing, Xiong Lizhong, Liu Qian
Journal of Innovative Optical Health Sciences. 2016 09(05). p.1650037
Stable diurnal growth rhythms modulate root elongation of Arabidopsis thaliana
Yazdanbakhsh Nima, Fisahn Joachim
Plant Root. 2011 5 p.17
Engineering Rapeseed Germination and Root Growth with Mechanical Strength of Polysaccharide Hydrogel
Wu Qiye, Xie Jinchun, Li Junfu, Men Yongjun, Yan Feng
ACS Applied Bio Materials. 2024
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement
Cobb Joshua N., DeClerck Genevieve, Greenberg Anthony, Clark Randy, McCouch Susan
Theoretical and Applied Genetics. 2013 126(4). p.867
A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes
Adu Michael O., Chatot Antoine, Wiesel Lea, Bennett Malcolm J., Broadley Martin R., White Philip J., Dupuy Lionel X.
Journal of Experimental Botany. 2014 65(8). p.2039
High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement
Jangra Sumit, Chaudhary Vrantika, Yadav Ram C., Yadav Neelam R.
Phenomics. 2021 1(2). p.31
PlantOmics: The Omics of Plant Science (2015)
Rahman Hifzur, Ramanathan Valarmathi, Jagadeeshselvam N., Ramasamy Sasikala, Rajendran Sathishraj, Ramachandran Mahendran, Sudheer Pamidimarri D. V. N., Chauhan Sushma, Natesan Senthil, Muthurajan Raveendran
Cereal Genomics II (2013)
Prasanna Boddupalli M., Araus Jose L., Crossa Jose, Cairns Jill E., Palacios Natalia, Das Biswanath, Magorokosho Cosmos
Improving Crop Resistance to Abiotic Stress (2012)
Iannacone Rina, Cellini Francesco, Morelli Giorgio, Ruberti Ida

Committee on Publication Ethics

Abstract Full Text PDF (2.4 MB) Export Citation Get Permission

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email