Species-independent analytical tools for next-generation agriculture
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Kazuki Saito | Rajeev J Ram | Oded Shoseyov | Tedrick Thomas Salim Lew | Rajani Sarojam | In-Cheol Jang | Bong Soo Park | Naweed I Naqvi | Min Hao Wong | Gajendra P Singh | Nam-Hai Chua | Michael S Strano | M. Strano | G. Singh | N. Chua | Rajani Sarojam | O. Shoseyov | T. T. Lew | N. Naqvi | I. Jang | B. Park | Rajeev J. Ram | K. Saito | M. H. Wong | Naweed I. Naqvi
[1] Narangerel Altangerel,et al. In vivo diagnostics of early abiotic plant stress response via Raman spectroscopy , 2017, Proceedings of the National Academy of Sciences.
[2] C. Gutjahr,et al. Systems Biology of Plant-Microbiome Interactions. , 2019, Molecular plant.
[3] Hezi Tenenboim,et al. Omic Relief for the Biotically Stressed: Metabolomics of Plant Biotic Interactions. , 2016, Trends in plant science.
[4] M. Dauzat,et al. PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments , 2017, Plant Methods.
[5] Á. Fernández-Recamales,et al. Nutritional and nutraceutical quality of strawberries in relation to harvest time and crop conditions. , 2014, Journal of agricultural and food chemistry.
[6] Magdalena Sawicka,et al. Urban agriculture of the future: an overview of sustainability aspects of food production in and on buildings , 2014 .
[7] Y. Elad,et al. Climate Change Impacts on Plant Pathogens and Plant Diseases , 2014 .
[8] Wenjun Di,et al. Optical Nanosensors for in vivo Physiological Chloride Detection for Monitoring Cystic Fibrosis Treatment. , 2020, Analytical methods : advancing methods and applications.
[9] S. Swarup,et al. Crosskingdom growth benefits of fungus-derived phytohormones in Choy Sum , 2020, bioRxiv.
[10] S. Robinson,et al. Food Security: The Challenge of Feeding 9 Billion People , 2010, Science.
[11] Q. Wei,et al. Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles , 2019, Nature Plants.
[12] P. Borrill. Blurring the boundaries between cereal crops and model plants. , 2020, The New phytologist.
[13] M. Kenis,et al. Safeguarding global plant health: the rise of sentinels , 2018, Journal of Pest Science.
[14] Xiaoyi Shan,et al. Comparison of phytohormone signaling mechanisms. , 2012, Current opinion in plant biology.
[15] Sonia J. Miller,et al. The metabolic transition during disease following infection of Arabidopsis thaliana by Pseudomonas syringae pv. tomato. , 2010, The Plant journal : for cell and molecular biology.
[16] L. Xiong,et al. Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. , 2020, Molecular plant.
[17] Francisco Rovira-Más,et al. From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management , 2020, Agronomy.
[18] D. Inzé,et al. Cell to whole-plant phenotyping: the best is yet to come. , 2013, Trends in plant science.
[19] Stavros Souravlas,et al. Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems , 2019, Journal of Agricultural & Food Information.
[20] A. Fernie,et al. The use of metabolomics to dissect plant responses to abiotic stresses , 2012, Cellular and Molecular Life Sciences.
[21] J. Morrell-Falvey,et al. Raman chemical imaging of the rhizosphere bacterium Pantoea sp. YR343 and its co-culture with Arabidopsis thaliana. , 2016, The Analyst.
[22] R. Garrido-Oter,et al. Balancing trade-offs between biotic and abiotic stress responses through leaf age-dependent variation in stress hormone cross-talk , 2019, Proceedings of the National Academy of Sciences.
[23] Aakash Chawade,et al. High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture , 2019, Agronomy.
[24] N. Ramankutty,et al. Influence of extreme weather disasters on global crop production , 2016, Nature.
[25] I. Lynch,et al. Corona of Thorns: The Surface Chemistry-Mediated Protein Corona Perturbs the Recognition and Immune Response of Macrophage. , 2019, ACS applied materials & interfaces.
[26] Volodymyr B. Koman,et al. Rational Design Principles for the Transport and Subcellular Distribution of Nanomaterials into Plant Protoplasts. , 2018, Small.
[27] Jungwon Yoon,et al. The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community , 2003, Nucleic Acids Res..
[28] K. Numata,et al. Targeted Gene Delivery into Various Plastids Mediated by Clustered Cell‐Penetrating and Chloroplast‐Targeting Peptides , 2019, Advanced science.
[29] Pouria Sadeghi-Tehran,et al. Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering , 2017, Front. Plant Sci..
[30] M. Bevan,et al. The Arabidopsis genome: a foundation for plant research. , 2005, Genome research.
[31] Achim Walter,et al. Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of Heterodera schachtii inoculation on sugar beets , 2017, Plant Methods.
[32] Elisabeth Georgii,et al. Monoterpenes Support Systemic Acquired Resistance within and between Plants , 2017, Plant Cell.
[33] Praveen Kumar,et al. Rhizosphere microbiome: revisiting the synergy of plant-microbe interactions , 2019, Annals of Microbiology.
[34] Kun Wu,et al. Modulating plant growth-metabolism coordination for sustainable agriculture , 2018, Nature.
[35] R. Kookana,et al. A critical evaluation of nanopesticides and nanofertilizers against their conventional analogues , 2018, Nature Nanotechnology.
[36] Heping Zhu,et al. Plant Pest Detection Using an Artificial Nose System: A Review , 2018, Sensors.
[37] Nobuhiro Suzuki,et al. ROS, Calcium, and Electric Signals: Key Mediators of Rapid Systemic Signaling in Plants1[OPEN] , 2016, Plant Physiology.
[38] Ming Yi,et al. Mechanisms of ROS Regulation of Plant Development and Stress Responses , 2019, Front. Plant Sci..
[39] Kurt K. Benke,et al. Future food-production systems: vertical farming and controlled-environment agriculture , 2017 .
[40] Y. Cohen,et al. Estimation of leaf water potential by thermal imagery and spatial analysis. , 2005, Journal of experimental botany.
[41] Charles Farber,et al. Advanced spectroscopic techniques for plant disease diagnostics. A review , 2019, TrAC Trends in Analytical Chemistry.
[42] Chunjiang Zhao,et al. Crop Phenomics: Current Status and Perspectives , 2019, Front. Plant Sci..
[43] M. Kenis,et al. Sentinel nurseries to assess the phytosanitary risks from insect pests on importations of live plants , 2018, Scientific Reports.
[44] N. Dudareva,et al. Plant Volatiles: Recent Advances and Future Perspectives , 2006 .
[45] R. Mittler,et al. Whole-plant live imaging of reactive oxygen species. , 2019, Molecular plant.
[46] Jian‐Kang Zhu. Abiotic Stress Signaling and Responses in Plants , 2016, Cell.
[47] Camila Caldana,et al. Mass spectrometry-based plant metabolomics: Metabolite responses to abiotic stress. , 2016, Mass spectrometry reviews.
[48] Achim Walter,et al. The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system. , 2016, Functional plant biology : FPB.
[49] M. Mihara,et al. Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions , 2012, Cell.
[50] Carolin Seyfferth,et al. Salicylic acid signal transduction: the initiation of biosynthesis, perception and transcriptional reprogramming , 2014, Front. Plant Sci..
[51] Alexander M. Jones,et al. Genetically Encoded Biosensors in Plants: Pathways to Discovery. , 2018, Annual review of plant biology.
[52] Chengzhou Zhu,et al. Electrochemical Sensors and Biosensors Based on Nanomaterials and Nanostructures , 2014, Analytical chemistry.
[53] S. Hacquard,et al. Microbial interactions within the plant holobiont , 2018, Microbiome.
[54] A. Dai. Increasing drought under global warming in observations and models , 2013 .
[55] S. Kruss,et al. Impact of Redox-Active Molecules on the Fluorescence of Polymer-Wrapped Carbon Nanotubes , 2016 .
[56] S. Kay,et al. A Genomic Analysis of the Shade Avoidance Response in Arabidopsis1[w] , 2003, Plant Physiology.
[57] Anne-Katrin Mahlein. Plant Disease Detection by Imaging Sensors - Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping. , 2016, Plant disease.
[58] A. Fernie,et al. Gas chromatography mass spectrometry–based metabolite profiling in plants , 2006, Nature Protocols.
[59] S. Jackson. Rice: The First Crop Genome , 2016, Rice.
[60] Markita P Landry,et al. Nanoparticle-Mediated Delivery towards Advancing Plant Genetic Engineering. , 2018, Trends in biotechnology.
[61] P. Ciais,et al. The impacts of climate change on water resources and agriculture in China , 2010, Nature.
[62] Benno I. Simmons,et al. The environmental costs and benefits of high-yield farming , 2018, Nature Sustainability.
[63] K. Shinozaki,et al. Crosstalk between abiotic and biotic stress responses: a current view from the points of convergence in the stress signaling networks. , 2006, Current opinion in plant biology.
[64] V. Zhdanov. Formation of a protein corona around nanoparticles , 2019, Current Opinion in Colloid & Interface Science.
[65] Yi Zhang,et al. Efficient and transgene-free genome editing in wheat through transient expression of CRISPR/Cas9 DNA or RNA , 2016, Nature Communications.
[66] J. Liesche,et al. The molecular mechanism of shade avoidance in crops- How data from Arabidopsis can help to identify targets for increasing yield and biomass production , 2017 .
[67] Precision Agriculture and Remote Sensing , 2015 .
[68] R. Mittler,et al. Orchestrating rapid long-distance signaling in plants with Ca2+ , ROS and electrical signals. , 2017, The Plant journal : for cell and molecular biology.
[69] Michael Wagner,et al. Capturing the genetic makeup of the active microbiome in situ , 2017, The ISME Journal.
[70] Yingliang Liu,et al. Phytotoxicity, Uptake, and Translocation of Fluorescent Carbon Dots in Mung Bean Plants. , 2016, ACS applied materials & interfaces.
[71] Genesis Berlanga,et al. Remote Raman measurements of minerals, organics, and inorganics at 430 m range. , 2016, Applied optics.
[72] Achim Walter,et al. Opinion: Smart farming is key to developing sustainable agriculture , 2017, Proceedings of the National Academy of Sciences.
[73] G. Caldarelli,et al. The network of plants volatile organic compounds , 2017, Scientific Reports.
[74] Volodymyr B. Koman,et al. Chloroplast-selective gene delivery and expression in planta using chitosan-complexed single-walled carbon nanotube carriers , 2019, Nature Nanotechnology.
[75] J. P. Giraldo,et al. Standoff Optical Glucose Sensing in Photosynthetic Organisms by a Quantum Dot Fluorescent Probe. , 2018, ACS applied materials & interfaces.
[76] Thomas Lagkas,et al. A compilation of UAV applications for precision agriculture , 2020, Comput. Networks.
[77] M. Lefsrud,et al. Tomato proteomics: Tomato as a model for crop proteomics , 2018, Scientia Horticulturae.
[78] A. Pereira. Plant Abiotic Stress Challenges from the Changing Environment , 2016, Front. Plant Sci..
[79] Thomas Udelhoven,et al. Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review , 2019, Remote. Sens..
[80] Y. Choi,et al. NMR-based plant metabolomics: where do we stand, where do we go? , 2011, Trends in biotechnology.
[81] Y. Onoda,et al. Core microbiomes for sustainable agroecosystems , 2018, Nature Plants.
[82] Masayuki Hirafuji,et al. Field monitoring support system for the occurrence of Leptocorisa chinensis Dallas (Hemiptera: Alydidae) using synthetic attractants, Field Servers, and image analysis , 2012 .
[83] Hanhong Bae,et al. Genomics and evolutionary aspect of calcium signaling event in calmodulin and calmodulin-like proteins in plants , 2017, BMC Plant Biology.
[84] Xiuxiu Sun,et al. Changes in flavor-relevant compounds during vine ripening of tomato fruit and their relationship with ethylene production , 2018, Horticulture, Environment, and Biotechnology.
[85] Wolfgang J Parak,et al. A Decade of the Protein Corona. , 2017, ACS nano.
[86] Akira Fujishima,et al. Highly Sensitive Measurement of Bio-Electric Potentials by Boron-Doped Diamond (BDD) Electrodes for Plant Monitoring , 2015, Sensors.
[87] Yang Liu,et al. Insights into the Origin and Evolution of the Plant Hormone Signaling Machinery1 , 2015, Plant Physiology.
[88] Sonja J. Prohaska,et al. Ecological plant epigenetics: Evidence from model and non-model species, and the way forward , 2017, bioRxiv.
[89] Jeffrey W. White,et al. Rising Temperatures Reduce Global Wheat Production , 2015 .
[90] Leanne M. Gilbertson,et al. Opportunities and challenges for nanotechnology in the agri-tech revolution , 2019, Nature Nanotechnology.
[91] Zhiqiang Lai,et al. Full-color emissive carbon-dots targeting cell walls of onion for in situ imaging of heavy metal pollution. , 2019, The Analyst.
[92] Yufeng Ge,et al. A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding , 2016, Comput. Electron. Agric..
[93] Thea King,et al. Food safety for food security: Relationship between global megatrends and developments in food safety , 2017 .
[94] Freddy T. Nguyen,et al. A Fiber Optic Interface Coupled to Nanosensors: Applications to Protein Aggregation and Organic Molecule Quantification. , 2020, ACS nano.
[95] T. Swager,et al. Trace Ethylene Sensing via Wacker Oxidation , 2020, ACS central science.
[96] Leanne Bischof,et al. A portable fluorescence spectroscopy imaging system for automated root phenotyping in soil cores in the field , 2016, Journal of experimental botany.
[97] A. Fernie,et al. Metabolite profiling: from diagnostics to systems biology , 2004, Nature Reviews Molecular Cell Biology.
[98] Nathaniel R. Gomer,et al. Remote Raman Spectroscopy for Planetary Exploration: A Review , 2012, Applied spectroscopy.
[99] C. Pipper,et al. Reducing shade avoidance responses in a cereal crop , 2017, AoB PLANTS.
[100] K. Numata,et al. Selective Gene Delivery for Integrating Exogenous DNA into Plastid and Mitochondrial Genomes Using Peptide-DNA Complexes. , 2018, Biomacromolecules.
[101] M. Strano,et al. Nanocarriers for Transgene Expression in Pollen as a Plant Biotechnology Tool , 2020 .
[102] U. Hoecker,et al. Arabidopsis COP1 and SPA Genes Are Essential for Plant Elongation But Not for Acceleration of Flowering Time in Response to a Low Red Light to Far-Red Light Ratio1[W] , 2012, Plant Physiology.
[103] J. Araus,et al. Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.
[104] L. Prokopy,et al. Why farmers adopt best management practice in the United States: a meta-analysis of the adoption literature. , 2012, Journal of environmental management.
[105] A. Kushalappa,et al. Metabolo-proteomics to discover plant biotic stress resistance genes. , 2013, Trends in plant science.
[106] S. Kapoor,et al. Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India , 2016, Rice.
[107] Francis M. Epplin,et al. The economic potential of precision nitrogen application with wheat based on plant sensing , 2009 .
[108] R. K. Sharma,et al. Next Generation Sequencing Technologies: The Doorway to the Unexplored Genomics of Non-Model Plants , 2015, Front. Plant Sci..
[109] Jenny Renaut,et al. Proteome analysis of non-model plants: a challenging but powerful approach. , 2008, Mass spectrometry reviews.
[110] Qin Zhang,et al. A Review of Imaging Techniques for Plant Phenotyping , 2014, Sensors.
[111] Jennifer D. Lewis,et al. The enemy within: phloem-limited pathogens. , 2018, Molecular plant pathology.
[112] Daniel B. Müller,et al. The Plant Microbiota: Systems-Level Insights and Perspectives. , 2016, Annual review of genetics.
[113] C. Casteel,et al. Vector-Borne Bacterial Plant Pathogens: Interactions with Hemipteran Insects and Plants , 2016, Front. Plant Sci..
[114] H. Scharr,et al. phenoSeeder - A Robot System for Automated Handling and Phenotyping of Individual Seeds1[OPEN] , 2016, Plant Physiology.
[115] Z. Qi,et al. Teaching an Old Hormone New Tricks: Cytosolic Ca2+ Elevation Involvement in Plant Brassinosteroid Signal Transduction Cascades1[W][OPEN] , 2013, Plant Physiology.
[116] Andy Lin,et al. PlantCV v2: Image analysis software for high-throughput plant phenotyping , 2017, PeerJ.
[117] J. Giovannoni,et al. Genetics and control of tomato fruit ripening and quality attributes. , 2011, Annual review of genetics.
[118] Jianbing Yan,et al. Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement , 2019, Nature Genetics.
[119] Neil McRoberts,et al. The global burden of pathogens and pests on major food crops , 2019, Nature Ecology & Evolution.
[120] Ardemis A. Boghossian,et al. Plant nanobionics approach to augment photosynthesis and biochemical sensing. , 2014, Nature materials.
[121] S. Long,et al. Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential , 2015, Cell.
[122] K. Nagel,et al. Crop Improvement from Phenotyping Roots: Highlights Reveal Expanding Opportunities. , 2019, Trends in plant science.
[123] Marilena Hadjidemetriou,et al. Nanomedicine: Evolution of the nanoparticle corona. , 2017, Nature nanotechnology.
[124] Jörg-Peter Schnitzler,et al. Practical approaches to plant volatile analysis. , 2006, The Plant journal : for cell and molecular biology.
[125] Leanne M. Gilbertson,et al. Technology readiness and overcoming barriers to sustainably implement nanotechnology-enabled plant agriculture , 2020, Nature Food.
[126] J. Eisen,et al. Research priorities for harnessing plant microbiomes in sustainable agriculture , 2017, PLoS biology.
[127] L. G. Santesteban,et al. High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard , 2017 .
[128] Alisdair R Fernie,et al. Application of GC-MS for the detection of lipophilic compounds in diverse plant tissues , 2009, Plant Methods.
[129] Xiaohu Gao,et al. Designing multifunctional quantum dots for bioimaging, detection, and drug delivery. , 2010, Chemical Society reviews.
[130] Cristina E. Davis,et al. Advanced methods of plant disease detection. A review , 2014, Agronomy for Sustainable Development.
[131] T. Mockler,et al. High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field. , 2017, Current opinion in plant biology.
[132] Michael S. Strano,et al. The Emergence of Plant Nanobionics and Living Plants as Technology , 2019, Advanced Materials Technologies.
[133] M. Kummu,et al. Feeding ten billion people is possible within four terrestrial planetary boundaries , 2020, Nature Sustainability.
[134] D. Does,et al. Genetic modification to improve disease resistance in crops , 2019, The New phytologist.
[135] Alice C. McHardy,et al. Functional overlap of the Arabidopsis leaf and root microbiota , 2015, Nature.
[136] R. Prasanna,et al. Prospecting the characteristics and significance of the phyllosphere microbiome , 2018, Annals of Microbiology.
[137] Gajendra Pratap Singh,et al. Early Diagnosis and Management of Nitrogen Deficiency in Plants Utilizing Raman Spectroscopy , 2020, Frontiers in Plant Science.
[138] Amir Kaplan,et al. Nanosensor Technology Applied to Living Plant Systems. , 2017, Annual review of analytical chemistry.
[139] J. Reyes-De-Corcuera,et al. GC-MS metabolomic differentiation of selected citrus varieties with different sensitivity to citrus huanglongbing. , 2012, Plant physiology and biochemistry : PPB.
[140] Ashutosh Kumar Singh,et al. Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives. , 2018, Trends in plant science.
[141] L. Xiong,et al. Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions , 2018, Front. Plant Sci..
[142] Volodymyr B. Koman,et al. Nitroaromatic detection and infrared communication from wild-type plants using plant nanobionics. , 2017, Nature materials.
[143] Hao Yang,et al. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives , 2017, Front. Plant Sci..
[144] Volodymyr B. Koman,et al. Real-time detection of wound-induced H2O2 signalling waves in plants with optical nanosensors , 2020, Nature Plants.
[145] Juan Pablo Giraldo,et al. Nanobiotechnology approaches for engineering smart plant sensors , 2019, Nature Nanotechnology.
[146] U. Schurr,et al. Plant Phenotyping: Past, Present, and Future , 2019, Plant phenomics.
[147] S. Robinson,et al. Climate Change, Agriculture and Food Security , 2019, Sustainable Food and Agriculture.
[148] Patricia Garrido,et al. Handheld Raman spectroscopy for the early detection of plant diseases: Abutilon mosaic virus infecting Abutilon sp. , 2016 .
[149] C. Ballaré,et al. The shade-avoidance syndrome: multiple signals and ecological consequences. , 2017, Plant, cell & environment.
[150] Miguel A Blázquez,et al. Evolution of Plant Hormone Response Pathways. , 2020, Annual review of plant biology.
[151] Yiannis Ampatzidis,et al. UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence , 2019, Remote. Sens..
[152] A. Kushalappa,et al. Integrated Metabolo-Proteomic Approach to Decipher the Mechanisms by Which Wheat QTL (Fhb1) Contributes to Resistance against Fusarium graminearum , 2012, PloS one.
[153] Shauhrat S Chopra,et al. A framework for sustainable nanomaterial selection and design based on performance, hazard, and economic considerations , 2018, Nature Nanotechnology.
[154] R. M. Rivero,et al. Abiotic and biotic stress combinations. , 2014, The New phytologist.
[155] Yanpeng Wang,et al. CRISPR/Cas Genome Editing and Precision Plant Breeding in Agriculture. , 2019, Annual review of plant biology.
[156] M. Sillanpää,et al. Dynamic Quantitative Trait Locus Analysis of Plant Phenomic Data. , 2015, Trends in plant science.
[157] Petr Havlik,et al. Comparing impacts of climate change and mitigation on global agriculture by 2050 , 2018, Environmental Research Letters.