LemnaTec is cited in hundreds of publications

Avramidou E.V., Moysiadis T., Ganopoulos I., Michailidis M., Kissoudis C., Valasiadis D., Kazantzis K., Tsaroucha E., Tsaftaris A., Molassiotis A., Aravanopoulos F.A., Xanthopoulou A. (2021) Phenotypic, Genetic, and Epigenetic Variation among Diverse Sweet Cherry Gene Pools. Agronomy, 11, 680.

Dissanayake R., Cogan N.O.I., Smith K.F., Kaur S. (2021) Application of Genomics to Understand Salt Tolerance in Lentil. Genes, 12, 332.

Dodig D., Božinović S., Nikolić A., Zorić M., Vančetović J., Ignjatović-Micić D., Delić N., Weigelt-Fischer K., Altmann T., Junker A. (2021) Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions. Frontiers in Plant Science, 12, 652116.

Faralli M., Williams K., Corke F., Li M., Doonan J.H., Varotto C. (2021) Interspecific and intraspecific phenotypic diversity for drought adaptation in bioenergy Arundo species. GCB Bioenergy, 13, 753–769.

Ghahremani M., Williams K., Corke F.M.K., Tiddeman B., Liu Y., Doonan J.H. (2021) Deep Segmentation of Point Clouds of Wheat. Frontiers in Plant Science, 12, 608732.

Herritt M.T., Long J.C., Roybal M.D., Moller D.C., Mockler T.C., Pauli D., Thompson A.L. (2021) FLIP: FLuorescence Imaging Pipeline for field-based chlorophyll fluorescence images. SoftwareX, 14, 100685.

Misra T., Arora A., Marwaha S., Jha R.R., Ray M., Varghese E., Kumar S., Nigam A., Sahoo R.N., Chinnusamy V. (2021) Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes from Visual Images of Wheat Plants. Research Square.

Piccinini L., Cazzaniga S., Iacopino S., Ballottari M., Giuntoli B., Licausi F. (2021) A synthetic switch based on orange carotenoid protein to control blue light responses in chloroplasts: 26 pp.

Roireau J.H., Rosano R.J., Lazzara N.C., Chen T., Bajsa-Hirschel J., Schrader K.K., Duke S.O., Wykoff D., Giuliano R.M. (2020) Synthesis of Pyranopyrans Related to Diplopyrone and Evaluation as Antibacterials and Herbicides. Journal of Agricultural and Food Chemistry, 68, 9906–9916.

Sadeghi-Tehran P., Virlet N., Hawkesford M.J. (2021) A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery. Remote Sensing, 13, 898.

Acosta-Gamboa LM, Suxing L, Jarrod W C et al., 2020. Characterization of the response to abiotic stresses of high ascorbate Arabidopsis lines using phenomic approaches. Plant physiology and biochemistry PPB / Societe francaise de physiologie vegetale 151, 500–15. doi: 10.1016/j.plaphy.2020.03.038.

Ball K.R., Power S.A., Brien C., Woodin S., Jewell N., Berger B., Pendall E. (2020) High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture. PLoS ONE, 15, e0239673. DOI:10.1371/journal.pone.0239673

Banerjee B.P., Joshi S., Thoday-Kennedy E., Pasam R.K., Tibbits J., Hayden M., Spangenberg G., Kant S. (2020) High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response. J. Exp. Bot., 71, 4604–4615. DOI:10.1093/jxb/eraa143

Blanchy G., Virlet N., Sadeghi‐Tehran P., Watts C.W., Hawkesford M.J., Whalley W.R., Binley A. (2020) Time‐intensive geoelectrical monitoring under winter wheat. Near Surface Geophysics, 18, 413–425. DOI:10.1002/nsg.12107

Borjigin C., Schilling R.K., Bose J., Hrmova M., Qiu J., Wege S., Situmorang A., Brien C., Berger B., Gilliham M., Pearson A.S., Roy S.J., Byrt C. (2020) A single nucleotide substitution in TaHKT1;5-D controls shoot Na + accumulation in bread wheat. Plant Cell Environ, 176, 2158–2171.

Broad R.C., Bonneau J.P., Beasley J.T., Roden S., Sadowski P., Jewell N., Brien C., Berger B., Tako E., Glahn R.P., Hellens R.P., Johnson A.A.T. (2020) Effect of Rice GDP-L-Galactose Phosphorylase Constitutive Overexpression on Ascorbate Concentration, Stress Tolerance, and Iron Bioavailability in Rice. Frontiers in Plant Science, 11, 595439.

Cao S., Huang C., Luo L., Zheng S., Zhong Y., Sun J., Gui J., Li L. (2020) Cell-Specific Suppression of 4-Coumarate-CoA Ligase Gene Reveals Differential Effect of Lignin on Cell Physiological Function in Populus. Frontiers in Plant Science, 11, 589729.

Cazzonelli CI, Hou X, Alagoz Y et al., 2020. A cis-carotene derived apocarotenoid regulates etioplast and chloroplast development. Elife 9. doi: 10.7554/eLife.45310.

Chen L., Strauch M., Daub M., Jiang X., Jansen M., Luigs H.-G., Schultz-Kuhlmann S., Krüssel S., Merhof D. (2020) A CNN FRAMEWORK BASED ON LINE ANNOTATIONS FOR DETECTING NEMATODES IN MICROSCOPIC IMAGEs. IEEE International Symposium on Biomedical Imaging (ISBI).

Del Pozo A, Méndez-Espinoza AM, Romero-Bravo S et al., 2020. Genotypic variations in leaf and whole-plant water use efficiencies are closely related in bread wheat genotypes under well-watered and water-limited conditions during grain filling. Scientific reports 10, 460. doi: 10.1038/s41598-019-57116-0

Dissanayake R., Kahrood H.V., Dimech A.M., Noy D.M., Rosewarne G.M., Smith K.F., Cogan N.O.I., Kaur S. (2020) Development and Application of Image-Based High-Throughput Phenotyping Methodology for Salt Tolerance in Lentils. Agronomy, 10, 1992.

Ellsworth P.Z., Feldman M.J., Baxter I., Cousins A.B. (2020) A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C4 grass Setaria. The Plant journal for cell and molecular biology, 1234–1248.

Herritt M.T., Pauli D., Mockler T.C., Thompson A.L. (2020) Chlorophyll fluorescence imaging captures photochemical efficiency of grain sorghum (Sorghum bicolor) in a field setting. Plant Methods, 16, 109.

Hüther P., Schandry N., Jandrasits K., Bezrukov I., Becker C. (2020) aradeepopsis: From images to phenotypic traits using deep transfer learning: 20 pp.

Kenchanmane Raju S.K., Adkins M., Enersen A., Santana de Carvalho D., Studer A.J., Ganapathysubramanian B., Schnable P.S., Schnable J.C. (2020) Leaf Angle eXtractor: A high-throughput image processing framework for leaf angle measurements in maize and sorghum. Applications in plant sciences, 8, e11385.

Kim S.L., Kim N., Lee H., Lee E., Cheon K.-S., Kim M., BAEK J., Choi I., Ji H., Yoon I.S., Jung K.-H., Kwon T., Kim K. (2020) High-throughput phenotyping platform for analyzing drought tolerance in rice. Planta, 252, 38.

Lee J.-S., Chebotarov D., Platten J.D., McNally K., Kohli A. (2020) Advanced Strategic Research to Promote the Use of Rice Genetic Resources. Agronomy, 10, 1629.

Liu H., Bruning B., Garnett T., Berger B. (2020) The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat. Sensors, 20, 4550.

Lyra DH, Virlet N, Sadeghi-Tehran P et al., 2020. Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform. Journal of Experimental Botany. doi: 10.1093/jxb/erz545.

Mazis A, Choudhury SD, Morgan PB et al., 2020. Application of high-throughput plant phenotyping for assessing biophysical traits and drought response in two oak species under controlled environment. Forest Ecology and Management 465, 118101. doi: 10.1016/j.foreco.2020.118101.

Meepagala K.M., Bracken A.K., Fronczek F.R., Johnson R.D., Wedge D.E., Duke S.O. (2020) Furanocoumarin with Phytotoxic Activity from the Leaves of Amyris elemifera (Rutaceae). ACS Omega.

Narisetti N., Neumann K., Röder M.S., Gladilin E. (2020) Automated Spike Detection in Diverse European Wheat Plants Using Textural Features and the Frangi Filter in 2D Greenhouse Images. Frontiers in Plant Science, 11, 666.

Nepal N., Yactayo-Chang J.P., Gable R., Wilkie A., Martin J., Aniemena C.L., Gaxiola R., Lorence A. (2020) Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses. Applications in plant sciences, 8, e11384.

Owens DK, Bajsa-Hirschel J, Duke SO et al., 2020. The Contribution of Romidepsin to the Herbicidal Activity of Burkholderia rinojensis Biopesticide. Journal of natural products. doi: 10.1021/acs.jnatprod.9b00405.

Pabuayon I.C., Kitazumi A., Cushman K.R., Singh R.K., Gregorio G.B., Dhatt B., Zabet-Moghaddam M., Walia H., los Reyes B.G. de (2020) Transgressive segregation for salt tolerance in rice due to physiological coupling and uncoupling and genetic network rewiring.

Saade S., Brien C., Pailles Y., Berger B., Shahid M., Russell J., Waugh R., Negrão S., Tester M. (2020) Dissecting new genetic components of salinity tolerance in two-row spring barley at the vegetative and reproductive stages. PLoS ONE, 15, e0236037.

Schramowski P., Stammer W., Teso S., Brugger A., Herbert F., Shao X., Luigs H.-G., Mahlein A.-K., Kersting K. 2020. Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nature Machine Intelligence 2, 476–86. doi: 10.1038/s42256-020-0212-3.

Shuo Zhou, Xiujuan Chai, Zixuan Yang, Hongwu Wang, Chenxue Yang, Tan Sun (2020) Maize-PAS: Automated Maize Phenotyping Analysis Software using Deep Learning. Research Square.

Ubbens J, Cieslak M, Prusinkiewicz P, 2020. Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies. Plant Phenomics 2020, 1–13. doi: 10.34133/2020/5801869.

Ventura I., Brunello L., Iacopino S., Valeri M.C., Novi G., Dornbusch T., Perata P., Loreti E. (2020) Arabidopsis phenotyping reveals the importance of alcohol dehydrogenase and pyruvate decarboxylase for aerobic plant growth. Sci Rep, 10.

Wang J., Dimech A.M., Spangenberg G., Smith K., Badenhorst P. (2020) Rapid Screening of Nitrogen Use Efficiency in Perennial Ryegrass (Lolium perenne L.) Using Automated Image-Based Phenotyping. Frontiers in Plant Science, 11, 565361.

Weiszmann J., Clauw P., Jagoda J., Reichardt-Gomez I., Koemeda S., Jez J., Nordborg M., Walther D., Nägele T., Weckwerth W. (2020) Plasticity of the primary metabolome in 241 cold grown Arabidopsis thaliana accessions and its relation to natural habitat temperature.

Briglia N, Nuzzo V, Petrozza A, Summerer S, Cellini F, Montanaro G (2019) Preliminary high-throughput phenotyping analysis in grapevines under drought. BIO Web Conf. 13:2003

Brugger A, Behmann J, Paulus S, Luigs H-G, Kuska MT, Schramowski P, Kersting K, Steiner U, Mahlein A-K (2019) Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote Sensing 11:1401

Cazzonelli CI, Hou X, Alagoz Y, Rivers J, Dhami N, Lee J, Marri S, Pogson BJ (2019) A cis -carotene derived apocarotenoid regulates etioplast and chloroplast development

Chang L, Yin Y, Xiang J, Liu Q, Li D, Huang D (2019) A Phenotype-Based Approach for the Substrate Water Status Forecast of Greenhouse Netted Muskmelon. Sensors (Basel, Switzerland) 19; DOI:10.3390/s19122673;

Chen L., Strauch M., Daub M., Jansen M., Luigs H.-G., Merhof D. (2019) Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples *. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE: 5932–5936.

Chen S, Guo Y, Sirault X, Stefanova K, Saradadevi R, Turner NC, Nelson MN, Furbank RT, Siddique KHM, Cowling WA (2019) Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species. Plant Phenomics 2019:1–16; DOI: 10.34133/2019/3264872;

Das Choudhury S, Samal A, Awada T (2019) Leveraging Image Analysis for High-Throughput Plant Phenotyping. Frontiers in Plant Science 10:2080; DOI: 10.3389/fpls.2019.00508;

Díaz-Tielas C, Graña E, Sánchez-Moreiras AM, Reigosa MJ, Vaughn JN, Pan Z, Bajsa-Hirshel J, Duke MV, Duke SO (2019) Transcriptome responses to the natural phytotoxin t-chalcone in Arabidopsis thaliana L. Pest Management Science

Dodig D, Božinović S, Nikolić A, Zorić M, Vančetović J, Ignjatović-Micić D, Delić N, Weigelt-Fischer K, Junker A, Altmann T (2019) Image-Derived Traits Related to Mid-Season Growth Performance of Maize Under Nitrogen and Water Stress. Frontiers in Plant Science 10:29; DOI:10.3389/fpls.2019.00814;

Faralli M, Williams KS, Han J, Corke FMK, Doonan JH, Kettlewell PS (2019) Water-Saving Traits Can Protect Wheat Grain Number Under Progressive Soil Drying at the Meiotic Stage: A Phenotyping Approach. Journal of Plant Growth Regulation 31:11; DOI:10.1007/s00344-019-09956-3;

Favaretto A, Cantrell CL, Fronczek FR, Duke SO, Wedge DE, Ali A, Scheffer-Basso SM (2019) New Phytotoxic Cassane-like Diterpenoids from Eragrostis plana. J Agric Food Chem

Suraj Gampa (2019) A Data-driven Approach for Detecting Stress in Plants Using Hyperspectral Imagery. Dissertation, Lincoln, Nebraska, USA;

Henke M, Junker A, Neumann K, Altmann T, Gladilin E (2019) Comparison and extension of three methods for automated registration of multimodal plant images. Plant methods 15:44; DOI:10.1186/s13007-019-0426-8;

Kim SL, Chung YS, Ji H, Lee H, Choi I, Kim N, Lee E, Oh J, Kang D-Y, BAEK J, Lee G-S, Kwon T-r, Kim K-h (2019) New Parameters for Seedling Vigor Developed via Phenomics. Applied Sciences 9:1752; DOI:10.3390/app9091752;

Kim SL, Chung YS, Silva RR, Ji H, Lee H, Choi I, Kim N, Lee E, BAEK J, Lee G-S, Kwon T-r, Kim K-h (2019) The opening of phenome-assisted selection era in the early seedling stage. Scientific reports 9:9948; DOI:10.1038/s41598-019-46405-3;

Lellis AD, Patrick RM, Mayberry LK, Lorence A, Campbell ZC, Roose JL, Frankel LK, Bricker TM, Hellmann HA, Mayberry RW, Solis Zavala A, Choy GS, Wylie DC, Abdul-Moheeth M, Masood A, Prater AG, van Hoorn HE, Cole N, Browning KS (2019) eIFiso4G augments the synthesis of specific plant proteins involved in normal chloroplast function. PLANT PHYSIOLOGY; DOI:10.1104/pp.19.00557;

Li Z, Liu Y, Liu R (2019) Integrating Multiple-capsule Traits Quantitative Evaluation of Seed Maturity by 3D Phenotypic Platform in Nicotiana tabacum. horts 54:993–997.

Markiewicz M, Zhang Y-Q, Empl M, Lykaki M, Thöming J, Steinberg P, Stolte S (2019) Hazard assessment of quinaldine-, alkylcarbazole-, benzene- and toluene-based liquid organic hydrogen carrier (LOHCs) systems. Energy Environ. Sci.!divAbstract

Marko D, El-Shershaby A, Carriero F, Summerer S, Petrozza A, Iannacone R, Schleiff E, Fragkostefanakis S (2019) Identification and Characterization of a Thermotolerant TILLING Allele of Heat Shock Binding Protein 1 in Tomato. Genes 10; DOI:10.3390/genes10070516;

Padilla-Chacón D, Peña Valdivia CB, García-Esteva A, Cayetano-Marcial MI, Kohashi Shibata J (2019) Phenotypic variation and biomass partitioning during post-flowering in two common bean cultivars (Phaseolus vulgaris L.) under water restriction. South African Journal of Botany 121:98–104

Perera WH, Meepa KM, Fronczek FR, Cook DD, Wedge DE, Duke SO (2019) Bioassay-Guided Isolation and Structure Elucidation of Fungicidal and Herbicidal Compounds from Ambrosia salsola (Asteraceae). Molecules (Basel, Switzerland) 24; DOI:10.3390/molecules24050835;

Rane J, Singh AK, George P, Govindasamy V, Cukkemane A, Raina SK, Chavan MP, Aher L, Sunoj VSJ, Singh NP (2019) Effect of Cow Urine-Based Bioformulations on Growth and Physiological Responses in Mungbean Under Soil Moisture Stress Conditions. Proc. Natl. Acad. Sci., India, Sect. B Biol. Sci. 56:245

Vieira NSM, Stolte S, Araújo JMM, Rebelo LPN, Pereiro AB, Markiewicz M (2019) Acute Aquatic Toxicity and Biodegradability of Fluorinated Ionic Liquids. ACS Sustainable Chem. Eng.

Ward B, Brien C, Oakey H, Pearson A, Negrão S, Schilling RK, Taylor J, Jarvis D, Timmins A, Roy SJ, Tester M, Berger B, van den Hengel A (2019) High-throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal

Asif MA, Schilling RK, Tilbrook J, Brien C, Dowling K, Rabie H, Short L, Trittermann C, Garcia A, Barrett-Lennard EG, Berger B, Mather DE, Gilliham M, Fleury D, Tester M, Roy SJ, Pearson AS (2018). Mapping of novel salt tolerance QTL in an Excalibur × Kukri doubled haploid wheat population. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik

Bao Y, Tang L, Breitzman MW, Salas Fernandez MG, Schnable PS (2018). Field-based robotic phenotyping of sorghum plant architecture using stereo vision. J. Field Robotics 41:68.

Berry JC, Fahlgren N, Pokorny AA, Bart RS, Veley KM (2018) An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotyping. PeerJ 6:e5727

Białk-Bielińska A, Matzke M, Caban M, Stolte S, Kumirska J, Stepnowski P (2018). Effects of five sulphonamides on duckweed (Lemna minor) after prolonged exposure time and their dependency on photoradiation. The Science of the total environment 618:952–960. 

Chen D, Shi R, Pape J-M, Neumann K, Arend D, Graner A, Chen M, Klukas C (2018) Predicting plant biomass accumulation from image-derived parameters. GigaScience

Czedik-Eysenberg A, Seitner S, Güldener U, Koemeda S, Jez J, Colombini M, Djamei A (2018) The ‘PhenoBox’, a flexible, automated, open-source plant phenotyping solution. The New phytologist

Das Choudhury S, Bashyam S, Qiu Y, Samal A, Awada T (2018) Holistic and component plant phenotyping using temporal image sequence. Plant methods 14:585

Camargo AV, Mackay I, Mott R, Han J, Doonan JH, Askew K, Corke F, Williams K, Bentley AR (2018). Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population. Front. Plant Sci. 9:887.

Campbell ZC, Acosta-Gamboa LM, Nepal N, Lorence A (2018). Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops. Phytochem Rev 44:94.

da Costa RMF, Simister R, Roberts LA, Timms-Taravella E, Cambler AB, Corke FMK, Han J, Ward RJ, Buckeridge MS, Gomez LD, Bosch M (2018). Nutrient and drought stress: implications for phenology and biomass quality in miscanthus. Annals of Botany.

John Doonan and Marcos Egea-Cortines, Doonan J, Egea-Cortines M (eds) (2018) Phenomics. Frontiers Media SA

Ellsworth PZ, Feldman MJ, Baxter I, Cousins AB (2018) A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C 4 grass Setaria 9; DOI:10.1101/285676;

Lászlová K, Dudášová H, Olejníková P, Horváthová G, Velická Z, Horváthová H, Dercová K (2018) The Application of Biosurfactants in Bioremediation of the Aged Sediment Contaminated with Polychlorinated Biphenyls. Water, Air, & Soil Pollution 229:221

Laxman RH, Hemamalini P, Bhatt RM, Sadashiva AT (2018). Non-invasive quantification of tomato (Solanum lycopersicum L.) plant biomass through digital imaging using phenomics platform. Ind J Plant Physiol. 23:369–375.

Lee U, Chang S, Putra GA, Kim H, Kim DH (2018) An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis. PLoS ONE 13:e0196615

Li H, Yin Z, Manley P, Burken JG, Fahlgren NSN, Mockler T (2018) Early Drought Plant Stress Detection with Bi-Directional Long-Term Memory Networks. photogramm eng remote sensing 84:459–468

Henke M, Junker A, Neumann K, Altmann T, Gladilin E (2018) Automated Alignment of Multi-Modal Plant Images Using Integrative Phase Correlation Approach. Frontiers in Plant Science 9:1519

Marko D, Briglia N, Summerer S, Petrozza A, Cellini F, Iannacone R (2018). High-Throughput Phenotyping in Plant Stress Response: Methods and Potential Applications to Polyamine Field. Methods in molecular biology (Clifton, N.J.) 1694:373–388.

Nguyen GN, Norton SL, Rosewarne GM, James LE, Slater AT (2018). Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology. PLoS ONE 13:e0207788.

Omidbakhshfard MA, Fujikura U, Olas JJ, Xue G-P, Balazadeh S, Mueller-Roeber B (2018). GROWTH-REGULATING FACTOR 9 negatively regulates Arabidopsis leaf growth by controlling ORG3 and restricting cell proliferation in leaf primordia. PLoS Genetics 14:e1007484.

Phua SY, Pornsiriwong W, Chan KX, Estavillo GM, Pogson BJ (2018.) Development of strategies for genetic manipulation and fine-tuning of a chloroplast retrograde signal 3′-phosphoadenosine 5′-phosphate. Plant Direct 2:e00031.

Phua SY, Yan D, Chan KX, Estavillo GM, Nambara E, Pogson BJ (2018) The Arabidopsis SAL1-PAP Pathway: A Case Study for Integrating Chloroplast Retrograde, Light and Hormonal Signaling in Modulating Plant Growth and Development? Frontiers in Plant Science 9:1171

Thapa S, Zhu F, Walia H, Yu H, Ge Y (2018) A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum. Sensors (Basel, Switzerland) 18

Wing RA, Purugganan MD, Zhang Q (2018) The rice genome revolution: from an ancient grain to Green Super Rice. Nature Reviews Genetics

  • Lobiuc, A.; Vasilache, V.; Oroian, M.; Stoleru, T.; Burducea, M.; Pintilie, O.; Zamfirache, M.-M. (2017)

    Blue and Red LED Illumination Improves Growth and Bioactive Compounds Contents in Acyanic and Cyanic Ocimum basilicum L. Microgreens. In: Molecules, DOI: 10.3390/molecules22122111.

  • Brugière, Norbert; Zhang, Wenjing; Xu, Qingzhang; Scolaro, Eric J.; Lu, Cheng; Kahsay, Robel Y.; Kise, Rie; Trecker, Libby; Williams, Robert W.; Hakimi, Salim; Niu, Xiping; Lafitte, Renee; Habben, Jeffrey E. (2017)

    Overexpression of RING Domain E3 Ligase ZmXerico1 Confers Drought Tolerance through Regulation of ABA Homeostasis. In: Plant Physiology, S. 1350-1369. DOI: 10.1104/pp.17.01072.

  • D. Marko; N. Briglia; S. Summerer; A. Petrozza; F. Cellini; R. Iannacone (2017)

    High-Throughput Phenotyping in Plant Stress Response: Methods and Potential Applications to Polyamine Field. In: Polyamines, DOI: 10.1007/978-1-4939-7398-9_31.

  • Velumani, K.; Oude Elberink, S.; Yang, M. Y.; BARET, F. (2017)

    Wheat Ear Detection in Plots by Segmenting Mobile Laser Scanner Data. In: ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., DOI: 10.5194/isprs-annals-IV-2-W4-149-2017.

  • Maria I. Stavropoulou, Apostolis Angelis, Nektarios Aligiannis, Eleftherios Kalpoutzakis, Sofia Mitakou, Stephen O. Duke, Nikolas Fokialakis (2017)

    Phytotoxic triterpene saponins from Bellis longifolia, an endemic plant of Crete. In: Phytochemistry, S. 71-77. DOI: 10.1016/j.phytochem.2017.08.019.

  • Srinivasan Vijayarangan, Paloma Sodhi, Prathamesh Kini, James Bourne, Simon Du, Hanqi Sun, Barnabas Poczos, Dimitrios Apostolopoulos, and David Wettergreen (2017)

    High-throughput Robotic Phenotyping of Energy Sorghum Crops. In: Field and Service Robotics.

  • Coneva, Viktoriya; Frank, Margaret H.; Balaguer, Maria A. de Luis; Li, Mao; Sozzani, Rosangela; Chitwood, Daniel H. (2017)

    Genetic Architecture and Molecular Networks Underlying Leaf Thickness in Desert-Adapted Tomato Solanum pennellii. In: Plant Physiology, S. 376-391. DOI: 10.1104/pp.17.00790.

  • Zhou, Ji; Applegate, Christopher; Dobon Alonso, Albor; Reynolds, Daniel; Orford, Simon; Mackiewicz, Michal; Griffiths, Simon; Penfield, Steven; Pullen, Nick (2017)

    Leaf-GP: An Open and Automated Software Application for Measuring Growth Phenotypes for Arabidopsis and Wheat. In: bioRxiv, DOI: 10.1101/180083.

  • Guo, Doudou; Juan, Jiaxiang; Chang, Liying; Zhang, Jingjin; Huang, Danfeng (2017)

    Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques. In: Scientific reports, DOI: 10.1038/s41598-017-08235-z.

  • Kerstin Neumann, Yusheng Zhao, Jianting Chu, Jens Keilwagen, Jochen C. Reif, Benjamin Kilian and Andreas Graner (2017)

    Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis. In: BMC Plant Biology, DOI: 10.1186/s12870-017-1085-4.

  • Pandey, Piyush; Ge, Yufeng; Stoerger, Vincent; Schnable, James C. (2017)

    High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging. In: Frontiers in Plant Science, DOI: 10.3389/fpls.2017.01348.

  • Majewsky, Vera; Scherr, Claudia; Schneider, Claudia; Arlt, Sebastian Patrick; Baumgartner, Stephan (2017)

    Reproducibility of the effects of homeopathically potentised Argentum nitricum on the growth of Lemna gibba L. in a randomised and blinded bioassay. In: Homeopathy, DOI: 10.1016/j.homp.2017.04.001.

  • Liang, Zhikai; Pandey, Piyush; Stoerger, Vincent; Xu, Yuhang; Qiu, Yumou; Ge, Yufeng; Schnable, James C. (2017)

    Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. In: bioRxiv, DOI: 10.1101/169045.

  • Parlati, Aurora; Valkov, Vladimir T.; D’Apuzzo, Enrica; Alves, Ludovico M.; Petrozza, Angelo; Summerer, Stephan; Costa, Alex; Cellini, Francesco; Vavasseur, Alain; Chiurazzi, Maurizio (2017)

    Ectopic Expression of PII Induces Stomatal Closure in Lotus japonicus. In: Frontiers in Plant Science, DOI: 10.3389/fpls.2017.01299.

  • Md. Matiur Rahaman; Md. Asif Ahsan; Zeeshan Gillani; Ming Chen (2017)

    Digital BiomassAccumulation Using High-Throughput Plant Phenotype Data Analysis. In: Journal of Integrative Bioinformatics, DOI: 10.1515/jib-2017-0028.

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    The herbicide flamprop-M-methyl has a new antimicrotubule mechanism of action. In: Pest Management Science, S. 1195–1203. DOI: 10.1002/ps.1618.

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    Phytotoxic eremophilanes from Ligularia macrophylla. In: Journal of Agricultural and Food Chemistry, S. 10656–10663. DOI: 10.1021/jf072548w.

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    On the mechanism of action and selectivity of the corn herbicide topramezone: a new inhibitor of 4-hydroxyphenylpyruvate dioxygenase. In: Pest Management Science, S. 429–439. DOI: 10.1002/ps.1341.

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    Zebra Mussel Antifouling Activity of the Marine Natural Product Aaptamine and Analogs. In: Marine Biotechnology, S. 366–372. DOI: 10.1007/s10126-005-6055-4.

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