Peer reviewed publications EPPN / EPPN²⁰²⁰

2024

• Zsigmond L et al (2024) Mitochondrial complex I subunit NDUFS8.2 modulates responses to stresses associated with reduced water availability. Plant Physiology and Biochemistry, https://doi.org/10.1016/j.plaphy.2024.108466

• De la Fuente C et al (2024) Glutaredoxin regulation of primary root growth is associated with early drought stress tolerance in pearl millet. Plant Biology, https://doi.org/10.7554/eLife.86169.2.sa2

2023

• Denes T-E et al (2023) Selection and Phenotyping for Drought Tolerance in Somatic Hybrids between Solanum tuberosum and Solanum bulbocastanum That Show Resistance to Late Blight, by Using a Semi-Automated Plant Phenotyping Platform Agriculture 2024, 14(1), 48; https://doi.org/10.3390/agriculture14010048

• PreeceC et al (2023) Combined effects of drought and simulated pathogen attack on root exudation rates of tomatoes. Plant Soil, https://doi.org/10.1007/s11104-023-06421-9

• Pudayl D et al (2023) Evaluating the physiological responses and identifying stress-tolerance of Akabare chili landraces to individual and combined drought and heat stresses. oB PLANTS, plad083, https://doi.org/10.1093/aobpla/plad083

• Waszczak C et al (2023) Synthesis and import of GDP- L-fucose into the Golgi affect plant–water relations. Pant Physiology, doi: 10.1111/nph.19378

• Spanic V et al (2023) Early leaf responses of cell physiological and sensor-based signatures reflect susceptibility of wheat seedlings to infection by leaf rust. Physiologia Plantarum,  175: e13990

• de la Fuente C (2023) Glutaredoxin regulation of primary root growth confers early drought stress tolerance in pearl millet.https://doi.org/10.7554/eLife.86169.1

• Huntenburg K et al (2023) Diurnal water fluxes and growth patterns in potato tubers under drought stress. Plant and Soil, https://doi.org/10.21203/rs.3.rs-2535834/v1
• Sunic K et al (2023)Metabolic Profiling Identifies Changes in the Winter Wheat Grains Following Fusarium Treatment at Two Locations in Croatia. Plants, 12, 911

2022

• Janni M & Pieruschka R (2022) Plant phenotyping for a sustainable future Journal of Experimental Botany, Volume 73, Issue 15, 3 September 2022, Pages 5085–5088
• Amiterana C et al (2022) Integration of high-throughput phenotyping with anatomical traits of leaves to help understanding lettuce acclimation to a changing environment. Planta 256, 68 https://doi.org/10.1007/s00425-022-03984-2
• Feroni L et al (2022) Fast chlorophyll a fluorescence induction (OJIP) phenotyping of chlorophyll-deficient wheat suggests that an enlarged acceptor pool size of Photosystem I helps compensate for a deregulated photosynthetic electron flow. Journal of Photochemistry and Photobiology B: Biology, https://doi.org/10.1016/j.jphotobiol.2022.112549
• Welcker C et al (2022) Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions. Nature Communications, 13,  3225
• Kondić-Špikaet A al (2022) Crop Breeding For Changing Climate In The Pannonian Region – Towards Integration Of Modern Phenotyping Tools. Journal of Experimental Botany, erac181, https://doi.org/10.1093/jxb/erac181
• Corerira PM et al (2022) High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress. Journal of Experimental Botany, erac160, https://doi.org/10.1093/jxb/erac160
• Saint Cast C et al (2022) Connecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives. Plants, diac005, https://doi.org/10.1093/insilicoplants/diac005
• Francesca S et al (2022) Phenotyping to dissect the biostimulant action of a protein hydrolysate in tomato plants under combined abiotic stress. Plant Physiology and Biochemistry 179, 32-43
• Morón-García et al (2022) Genetic architecture of variation in Arabidopsis thaliana rosettes. PLoS ONE 17(2): e0263985. https://doi.org/10.1371/journal.pone.0263985
• Melandri et al (2022) Can biochemical traits bridge the gap between genomics and plant performance? A study in rice2 under drought. Plant Physiology 15, ;kiac053. doi: 10.1093/plphys/kiac053
• Shepelev S et al (2022) Variation of Macro- and Microelements, and Trace Metals in Spring Wheat Genetic Resources in Siberia. 11(2), 149; https://doi.org/10.3390/plants11020149

2021

• Latini A et al (2021) Phenotyping of Different Italian Durum Wheat Varieties in Early Growth Stage With the Addition of Pure or Digestate-Activated Biochars Frontiers in Plant science. https://doi.org/10.3389/fpls.2021.782072
• Kupcsik et al (2021) Oilseed Rape Cultivars Show Diversity of Root Morphologies with the Potential for Better Capture of Nitrogen Nitrogen, 2, 491-505 
• Machwitz et al (2021)Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture. Frontiers in Plant Science, https://doi.org/10.3389/fpls.2021.749374
• Ribero et al (2021) Elevated CO₂ concentration increases photosynthetic sensitivity to nitrogen supply of sorghum in a genotype-dependent manner Plant Physiology and Biochemistry, 168: 202-210
• Shamanin et al (2021) Genotypic and ecological variability of zinc content in the grain of spring bread wheat varieties in the international nursery KASIB. Vavriloc Journal of Genetics and Breeding. 25: 543–551
• Kirschner et al (2021) ENHANCED GRAVITROPISM 2 encodes a STERILE ALPHA MOTIF–containing protein that controls root growth angle in barley and wheat PNAS, 118 (35) e2101526118; https://doi.org/10.1073/pnas.2101526118
• Dodig et al (2021) Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions. Front. Plant Sci. 12:652116. doi: 10.3389/fpls.2021.652116
• Skalska et al (2021) Metabolomic Variation Aligns with Two Geographically Distinct Subpopulations of Brachypodium Distachyon before and after Drought Stress. Cells 2021, 10(3), 683; https://doi.org/10.3390/cells10030683
• Vanderborght et al (2021) From hydraulic root architecture models to macroscopic representations of root hydraulics in soil water flow and land surface models. Hydrology and Earth System Science. https://doi.org/10.5194/hess-2021-14
• Abugalieva et al (2021) Ionomic Analysis of Spring Wheat Grain Produced in Kazakhstan and Russia. Communications in Soil Science and Plant Analysis, https://doi.org/10.1080/00103624.2020.1865398

2020

• Ćwiek-Kupczyńska et al (2020) Semantic concept schema of the linear mixed model of experimental observations. Scientific Data 7:70 DOI:10.1038/s41597-020-0409-7
• Nakhforoosh et al (2020) Deep soil exploration vs. topsoil exploitation: distinctive rooting strategies between wheat landraces and wild relatives. Plant Soil. https://doi.org/10.1007/s11104-020-04794-9
• Jacob et al (2020) Making experimental data tables in the life sciences more FAIR: a pragmatic approach. GigaScience, 9: 12
• Caracciolo et al (2020) 39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition. Data Science Journal, http://doi.org/10.5334/dsj-2020-047
• Prasetyaningrum et al (2020) Nocturnal gibberellin biosynthesis is carbon dependent and adjusts leaf expansion rates to variable conditions. Plant Physiology, https://doi.org/10.1093/plphys/kiaa019
• Van den houwe et al (2020) Safeguarding and using global banana diversity: a holistic approach. CABI Agriccultural Science 1, 15 (2020). https://doi.org/10.1186/s43170-020-00015-6
• Correira et al (2020) Photoprotection and optimization of sucrose usage contribute to faster recovery of photosynthesis after water deficit at high temperatures in wheat. Physiologia Plantarum, https://doi.org/10.1111/ppl.13227
• Nagel et al (2020) The platform GrowScreen-Agar enables identification of phenotypic diversity in root and shoot growth traits of agar grown plants. Plant Methods 16, 89
• Ferroni et (2020) Chlorophyll-depleted wheat mutants are disturbed in photosynthetic electron flow regulation but can retain an acclimation ability to a fluctuating light regime. Environmental and Experimental Botany, https://doi.org/10.1016/j.envexpbot.2020.104156
• Beleggia et al (2020) Comparative analysis based on transcriptomics and metabolomics data reveal differences 1between emmer and durum wheat in response to nitrogen starvation. BioRxiv, https://doi.org/10.1101/2020.02.03.931717
• Boudiar et al (2020) Effects of Low Water Availability on Root Placement and Shoot Development in Landraces and Modern Barley Cultivars. Agronomy 2020, 10, 134

2019

• Arouisse, Korte, van Eeuwijk, Kruijer (2019): Imputation of 3 million SNPs in the Arabidopsis regional mapping population.The Plant Journal
• Van Oosten et al (2019) Omeprazole treatment enhances nitrogen use efficiency through increased nitrogen uptake and assimilation in corn. Frontiers in Plant Science
• Soares et al (2019) Preserving the nutritional quality of crop plants under a changing climate: importance and strategies. Plant and Soil

• Dodic et al (2019) Image-Derived Traits Related to Mid-Season Growth Performance of Maize under Nitrogen and Water Stres. Frontiers in Plant Science
• Millet et al (2019) Genomic prediction of maize yield across European environmental conditions. Nature Genetics. 51: 952-956
• Pesti et al (2019) Differential gene expression and physiological changes during acute or persistent plant virus interactions may contribute to viral symptom differences. PLOS ONE. 14: e0216618
• Bustamante et al (2019) The effect of anaerobic digestate derived composts on the metabolite composition and thermal behaviour of rosemary. Scientific Reportsvolume 9: 6489
• Reynolds et al (2019) What is cost-efficient phenotyping? Optimizing costs for different scenarios. Plant Science 282: 14–22
• Tsugawa H et al (2019) A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms. Nature Methods 16, pages295–298
• Pieruschka R & Schurr U (2019) Plant Phenotyping: Past, Present, and Future. Plant Phenomics, DOI: 10.1155/2019/7507131
• Roitsch T et al  (2019) New sensors and data-driven approaches—A path to next generation phenomics. Plant Science. https://doi.org/10.1016/j.plantsci.2019.01.011
• Schwacke R et al  (2019) MapMan4: a refined protein classification and annotation framework applicable to multi-omics data analysis. Molecular Plant. https://doi.org/10.1016/j.molp.2019.01.003

2018

• van Eeuwijk, Fred A. et al. (2018) Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding. In: Plant Science (https://doi.org/10.1016/j.plantsci.2018.06.018)
• Bolder et al (2018) Computational aspects underlying genome to phenome analysis in plants The plant Journal https://doi.org/10.1111/tpj.14179
• Egea-Cortines M & Doonan JH (2018) Editorial: Phenomics. Frontiers in  Plant Sciences  https://doi.org/10.3389/fpls.2018.00678
  
• Avramova et al (2018) Carbon isotope composition, water use efficiency, and drought sensitivity are controlled by a common genomic segment in maize. Theoretical and Applied Genetics, 112: 53-63
• Šebela et al (2018) Chlorophyll fluorescence and reflectance-based non-invasive quantification of blast, bacterial blight and drought stresses in rice. Plant and Cell Physiology, 1:30-40

2017

• Tardieu et al. (2017) Plant Phenomics, From Sensors to Knowledge. Current Biology. 27: R770–R783 
  
• Georgii et al (2017) Relationships between drought, heat and air humidity responses revealed by transcriptome-metabolome co-analysis. BMC Plant Biology, 17: 120 
• Hudek et al (2017) Root morphology and biomechanical characteristics of high altitude alpine plant species and their potential application in soil stabilization. Ecological Engineering https://doi.org/10.1016/j.ecoleng.2017.05.048
• Šebela et al (2017) Effect of ambient sunlight intensity on the temporal phenolic profiles of Vitis Vinifera L. Cv. chardonnay during the ripening season - a field study. South African Journal of Enology and Viticulture. 38: 94-103

• Rymaszewski et al (2017) Stress-Response Gene Expression Reflects Morpho-Physiological Responses to Water Deficit Plant Physiology, DOI:10.1104/pp.17.00318
• Bont et al (2017) A Herbivore Tag-and-Trace System Reveals Contact- and Density-Dependent Repellence of a Root Toxin. Journal of Chemical Ecology 43: 295–306

• Zhao et al (2017) Root architecture simulation improves the inference from seedling root phenotyping towards mature root systems, Journal of Experimental Botany 68: 965-982

• Lopez-Alvarez D et al (2017) Diversity and association of phenotypic and metabolomic traits in  the close model grasses, Annals of Botany119: 545-561 

2016

• Cwiek-Kupczynska H et al (2016) Measures for interoperability of phenotypic data: minimum information requirements and formatting. Plant Methods, 12:44

• Nakhforoosh A et al (2016) Identification of water use strategies at early growth stages in durum wheat from shoot phenotyping and physiological measurements. Frontiers in Plant Science, 7:1155

• Hoehndorf R et al (2016) The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants. Journal of Biomedical Semantics, 7, 65

• Bush MS et al (2016) eIF4A RNA Helicase Associates with Cyclin-Dependent Protein Kinase A in Proliferating Cells and is Modulated by Phosphorylation. Plant Physiology, 172:128-140

• Avramova V et al (2016) Screening for drought tolerance of maize hybrids by multi-scale analysis of root and shoot traits at the seedling stage. Journal of Experimental Botany,  8: 2453-2466

• Dudits D et at (2016) Response of organ structure and physiology to autotetraploidization in early development of energy willow Salix viminalis L. Plant Physiology, 170:1504-1523 

2015

• Bac-Molenaar JA et al (2015) Genome-wide association mapping of growth dynamics detects time-specific and general quantitative trait loci. Journal of Experimental Botany, 66: 5567-5580.
•  Bac-Molenaar JA et al (2015) Genome wide association mapping of time-dependent growth responses to moderate drought stress in Arabidopsis. Plant, Cell and Environment, 18: 5567-5580
• Bergsträsser S et al (2015) HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging Plant Methods, 11: 1 
• Boyle RD et al (2015) Automated estimation of tiller number in wheat by ribbon
  detection. Machine Vision and Applications, in press
• Bresson J (2015) Quantifying spatial heterogeneity of chlorophyll fluorescence during plant growth and in response to water stress.  Plant Methods, 11: 23
  

• Gioia T et al. (2015) Impact of domestication on the phenotypic architecture of durum wheat under contrasting nitrogen fertilization. Journal of Experimental Botany, 18: 5519-5530
• Golbach F et al (2015) Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping. Machine Vision and Applications, 27:663–680

• Großkinsky DK et al (2015) Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming. New Phytologist 207: 950–952

• Kjaer KA & Ottoson CO (2015) 3D Laser Triangulation for Plant Phenotyping in Challenging Environments. Sensors, 15: 13533-13547 

• Klem K et al. 2015 Ultraviolet and photosynthetically active radiation can both induce photoprotective capacity allowing barley to overcome high radiation stress. Plant Physiology and Biochemistry, 93: 74-83
• Krabel D et al (2015) Early root and aboveground biomass development of hybrid poplars (Populus spp.) under drought. Canadian Journal of Forest Research, 45: 1289-1298 
• Krajewski P et al. (2015) Towards recommendations for metadata and data handling in plant phenotyping Journal of Experimental Botany, 18: 5417-5427

• Muscolo A et al (2015) Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions. Journal of Experimental Botany, 18: 5467-5480
• Pieruschka R and Lawson T (2015) Special Issie on plant Phenotyping: preface. Journal of Experimental Botany 18: 5385-5387

• Rousseau D et al (2015) Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds. Plant Methods, 11:55

• Szalonek M et al (2015) Potato Annexin STANN1 Promotes Drought Tolerance and Mitigates Light Stress in Transgenic Solanum tuberosum L. Plants. PLoS One 10: e0132683
• Šebela D et al (2015) Temporal chlorophyll fluorescence signals to track changes in optical properties of maturing rice panicles exposed to high night temperature. Field Crops Research 177: 75-85

2014

• Chen D et al. (2014)Dissecting the Phenotypic Components of Crop Plant Growthand Drought Responses Based on High-Throughput Image Analysis. The Plant Cell in press.
• Fanourakis D et al. (2014) Pore size regulates operating stomatal conductance, while stomatal densities drive the partitioning of conductance between leaf side. Annals of Botany, 115: 555-565

• Fanourakis D et al. (2014) Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture. Plant Methods 10: 9

• Fehér-Juhász E et al. (2014) Phenotyping shows improved physiological traits and seed yield of transgenic wheat plants expressing the alfalfa aldose reductase under permanent drought stress. Acta Physiologiae Plantarum 36: 663-673

• Granier C, Ville D (2014) Phenotyping and beyond: modelling the relationships between traits. Current Opinion in Plant Biology 18: 96-102

• Klukas C et al. (2014) Integrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping Plant Physiology 165: 506-518

• Mishra A et al. (2014) Chlorophyll fluorescence emission can screen cold tolerance of cold acclimated Arabidopsis thaliana accessions. Plant Methods 10: 38

• Postma JA et al. (2014) Dynamic root growth and architecture responses to limiting nutrient availability: Linking physiological models and experimentation. Biotechnology Advances 32: 53–65
• Postma JA et al. (2014) The optimal lateral root branching density for maize depends on nitrogen and phosphorus availability. Plant Physiology 166: 453

2013

• Cseri A et al. (2013)  Monitoring drought responses of barley genotypes with semi-robotic phenotyping platform and association analysis between recorded traits and allelic variants of some stress genes. Australian Journal of Crop Science 10: 1561-1570

• Fiorani F and Schurr U (2013) Future Scenarios for Plant Phenotyping. Annual Review of Plant Biology 64: 267-291
• Lièvre M et al. (2013) Phenotyping the kinematics of leaf development in flowering plants: recommendations and pitfalls. WIREs Climate Change 2: 809–821
•  Nunes C et al. (2013) Regulation of growth by the trehalose pathway: relationship to temperature and sucrose. Plant Signaling and Behavior 8: e26626

Book Chapters / Other publications

• de la Fuente et al (2023) Glutaredoxin regulation of primary root growth confers early drought stress tolerance in pearl millet. bioRxiv preprint https://doi.org/10.1101/2023.02.02.526762
• Pieruschka R & Schurr U (2022) Origins and drivers of crop phenotyping in Advances in plant phenotyping for more sustainable crop production Editor Walter A, IBurleight Doods Science Publishing, Cambridge, UK
• Quiros-Vargas et al (2021) Response of bean (Phaseolus vulgaris L.) to elevated CO2 in yield, biomass and chliorophyll fluoecence. IGRASS Brussels.
• Multinational Arabidopsis Steering Committee (MASC) Annual Report (2018/2019): International Plant Phenotyping Resources
• Granier C et al. (2014) Systematic Phenotyping of Plant Development in Arabidopsis thaliana. In Phenomics Edited by John M . Hancock CRC Press, Pages 111–141
• Lou L et al. (2014) A Cost-Effective Automatic 3D ReconstructionPipeline for Plants Using Multi-view Images. In Advances in Autonomous Robotics Systems Edited by Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish. Pages 221-230
• Lou L et al. (2014) Accurate Multi-View Stereo 3D Reconstructionfor Cost-Effective Plant Phenotyping. In Image Analysis and Recognition Edited by Aurélio Campilho, Mohamed Kamel. Pages 221-230
• Rajsnerová P et al (2015) Convergence of morphological, biochemical, and physiologicaltraits of upper and lower canopy of European beech leaves and Norway spruce needles within altitudinal gradients. In GLOBAL CHANNGE: A COMPLEX CHALLENGE Conference Proceedings. Edited by Urban O, Šprtová M, Klem K Global Change Research Centre, The Czech Academy of Sciences, v.v.i. Brno Pages: 86-89.

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