Plant Methods

Papers
(The TQCC of Plant Methods is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
The influence of water content on the longitudinal modulus of elasticity of maize stalk pith and rind tissues105
Targeted gene deletion with SpCas9 and multiple guide RNAs in Arabidopsis thaliana: four are better than two103
Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology99
TreeJ: an ImageJ plugin for interactive cell lineage reconstruction from static images74
Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids67
Stability investigation of air-dried olive ribo nucleic acids for metavirome studies62
The isolation strategy and chemical analysis of oil cells from Asari Radix et Rhizoma62
A novel method for extraction of high purity and high production Phytophthora sojae oospores57
A deep learning approach to track Arabidopsis seedlings’ circumnutation from time-lapse videos53
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network52
Small-scale sequencing enables quality assessment of Ribo-Seq data: an example from Arabidopsis cell culture50
An automated method for stem diameter measurement based on laser module and deep learning47
The semi-automated development of plant cell wall finite element models46
Optimized synthesis of layered double hydroxide lactate nanosheets and their biological effects on Arabidopsis seedlings45
Determination of phosphorus compounds in plant tissues: from colourimetry to advanced instrumental analytical chemistry43
Non-destructive real-time monitoring of underground root development with distributed fiber optic sensing43
Fast estimation of plant growth dynamics using deep neural networks42
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography42
Complementarity of Raman and Infrared spectroscopy for rapid characterization of fucoidan extracts41
Orthogonal control of gene expression in plants using synthetic promoters and CRISPR-based transcription factors40
A simple and efficient method to quantify the cell parameters of the seed coat, embryo and silique wall in rapeseed37
Electrical impedance spectroscopy (EIS) in plant roots research: a review37
Meta-analysis of the role of zinc in coordinating absorption of mineral elements in wheat seedlings36
Improved wood species identification based on multi-view imagery of the three anatomical planes34
An improved bacterial mRNA enrichment strategy in dual RNA sequencing to unveil the dynamics of plant-bacterial interactions33
RiboPlotR: a visualization tool for periodic Ribo-seq reads32
Combination of long-term 13CO2 labeling and isotopolog profiling allows turnover analysis of photosynthetic pigments in Arabidopsis leaves32
Innovation of strip fertilization planting for rice straw crushing with back-throwing and interrow-laying32
High-throughput estimation of allele frequencies using combined pooled-population sequencing and haplotype-based data processing30
Optimization of ribosome profiling in plants including structural analysis of rRNA fragments29
Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation29
Local mapping of root orientation traits by X-ray micro-CT and 3d image analysis: A study case on carrot seedlings grown in simulated vs real weightlessness29
Synchrotron tomography applications in agriculture and food sciences research: a review29
A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics28
A global non-invasive methodology for the phenotyping of potato under water deficit conditions using imaging, physiological and molecular tools28
A method of two-dimensional correlation spectroscopy combined with residual neural network for comparison and differentiation of medicinal plants raw materials superior to traditional machine learning28
ScAnalyzer: an image processing tool to monitor plant disease symptoms and pathogen spread in Arabidopsis thaliana leaves27
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot27
An advanced method for the release, enrichment and purification of high-quality Arabidopsis thaliana rosette leaf trichomes enables profound insights into the trichome proteome27
Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics27
Inter-row navigation line detection for cotton with broken rows27
Using near-infrared spectroscopy to predict nitrogen and phosphorus concentrations of herbarium specimens under different storage conditions27
RGB image-based method for phenotyping rust disease progress in pea leaves using R26
Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images26
GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling24
Development and application of a virus-induced gene silencing protocol for the study of gene function in narrow-leafed lupin24
Evaluation of deep learning for predicting rice traits using structural and single-nucleotide genomic variants24
DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification24
Assembly and operation of an imaging system for long-term monitoring of bioluminescent and fluorescent reporters in plants23
A new and effective method to induce infection of Phyllachora maydis into corn for tar spot studies in controlled environments23
A rapid and non-destructive method for spatial–temporal quantification of colonization by Pseudomonas syringae pv. tomato DC3000 in Arabidopsis and tomato23
A high-throughput phenotyping method for sugarcane rind penetrometer resistance and breaking force characterization by near-infrared spectroscopy23
Improvement of germination rate and hybridization to facilitate breeding of an industrial oil crop, Euphorbia lagascae Spreng22
A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation22
Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling21
Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants21
Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat21
Quantitative phenotyping of crop roots with spectral electrical impedance tomography: a rhizotron study with optimized measurement design21
An electrophoretic mobility shift assay using the protein isolated from host plants21
SYMPATHIQUE: image-based tracking of symptoms and monitoring of pathogenesis to decompose quantitative disease resistance in the field21
BerryPortraits: Phenotyping Of Ripening Traits in cranberry (Vaccinium macrocarpon Ait.) with YOLOv820
In vitro micropropagation protocols for two endangered Dianthus species - via in vitro culture for conservation and recultivation purposes20
Scoring the number of B chromosomes in Zea mays L. using droplet digital PCR assay20
Spectral estimation of the aboveground biomass of cotton under water–nitrogen coupling conditions20
Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model20
A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification19
Statistical analysis of organelle movement using state-space models19
WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression network19
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)18
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning18
Ribozyme-mediated CRISPR/Cas9 gene editing in pyrethrum (Tanacetum cinerariifolium) hairy roots using a RNA polymerase II-dependent promoter18
Refining bulk segregant analyses: ontology-mediated discovery of flowering time genes in Brassica oleracea18
Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley18
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning18
Insights into lncRNA-mediated regulatory networks in Hevea brasiliensis under anthracnose stress17
A hybrid CNN–SVM classifier for weed recognition in winter rape field17
A method to determine antifungal activity in seed exudates by nephelometry17
Assessing data analysis techniques in a high-throughput meiosis-like induction detection system17
Optimizing cannabis cultivation: an efficient in vitro system for flowering induction16
A custom library construction method for super-resolution ribosome profiling in Arabidopsis16
Acceleration of wheat breeding: enhancing efficiency and practical application of the speed breeding system16
Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED)16
Automating high-throughput screening for anthracnose resistance in common bean using allele specific PCR16
Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein–protein interactions16
Transmembrane potential, an indicator in situ reporting cellular senescence and stress response in plant tissues16
Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion16
Mitochondrial DNA editing in potato through mitoTALEN and mitoTALECD: molecular characterization and stability of editing events16
A high-throughput approach for quantifying turgor loss point in grapevine15
Efficient mutagenesis and genotyping of maize inbreds using biolistics, multiplex CRISPR/Cas9 editing, and Indel-Selective PCR15
A deep learning approach for deriving wheat phenology from near-surface RGB image series using spatiotemporal fusion15
A vector-free gene interference system using delaminated Mg–Al-lactate layered double hydroxide nanosheets as molecular carriers to intact plant cells15
Monitoring of plant water uptake by measuring root dielectric properties on a fine timescale: diurnal changes and response to leaf excision15
An efficient chromatin immunoprecipitation (ChIP) protocol for studying histone modifications in peach reproductive tissues15
Tracking deuterium uptake in hydroponically grown maize roots using correlative helium ion microscopy and Raman micro-spectroscopy15
Genotyping of polyploid plants using quantitative PCR: application in the breeding of white-fleshed triploid loquats (Eriobotrya japonica)15
DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics15
A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize15
Mapping and quantifying unique branching structures in lentil (Lens culinaris Medik.)14
Characterizing the effects of different chemicals on stem bending of cut snapdragon flower14
Improved genomic prediction using machine learning with Variational Bayesian sparsity14
A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information14
AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlings14
Sensor-based phenotyping of above-ground plant-pathogen interactions14
Culture types and period impact gametophyte morphogenesis and sporophyte formation of eastern bracken14
Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants14
Accelerating eucalypt clone selection pipeline via cloned progeny trials and molecular data14
Low-cost and reliable substrate-based phenotyping platform for screening salt tolerance of cutting propagation-dependent grass, paspalum vaginatum14
BioCurve Analyzer: a web-based shiny app for analyzing biological response curves14
De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L.14
A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families14
Determining water status of walnut orchards using the crop water stress index and canopy temperature measurements14
Eggsplorer: a rapid plant–insect resistance determination tool using an automated whitefly egg quantification algorithm14
One pattern analysis (OPA) for the quantitative determination of protein interactions in plant cells13
Apnet: Lightweight network for apricot tree disease and pest detection in real-world complex backgrounds13
A cassava common mosaic virus vector for virus-induced gene silencing in cassava13
Advancing radiation-induced mutant screening through high-throughput technology: a preliminary evaluation of mutant screening in Arabidopsis thaliana13
Publisher Correction: New improvements in grapevine genome editing: high efficiency biallelic homozygous knock-out from regenerated plantlets by using an optimized zCas9i13
Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning13
Simple and efficient isolation of plant genomic DNA using magnetic ionic liquids12
Metric learning for image-based flower cultivars identification12
Clarification of the infection pattern of Xanthomonas citri subsp. citri on citrus fruit by artificial inoculation12
RhizoMAP: a comprehensive, nondestructive, and sensitive platform for metabolic imaging of the rhizosphere12
A cell P system with membrane division and dissolution rules for soybean leaf disease recognition12
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield12
A non-destructive approach for measuring rice panicle-level photosynthetic responses using 3D-image reconstruction12
A rapid and efficient in vivo inoculation method for introducing tree stem canker pathogens onto leaves: suitable for large-scale assessment of resistance in poplar breeding progeny12
Correction: Rapid and cost-effective molecular karyotyping in wheat, barley, and their crossprogeny by chromosome-specific multiplex PCR12
ShinyCore: An R/Shiny program for establishing core collection based on single nucleotide polymorphism data12
Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.)12
Segmentation and counting of wheat spike grains based on deep learning and textural feature12
Non-wounding contact-based Inoculation of fruits with fungal pathogens in postharvest12
Standardization of electrolyte leakage data and a novel liquid nitrogen control improve measurements of cold hardiness in woody tissue12
Deep learning for detecting herbicide weed control spectrum in turfgrass11
Establishment of an NPK nutrient monitor system in yield-graded cotton petioles under drip irrigation11
Quality assurance of hyperspectral imaging systems for neural network supported plant phenotyping11
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture11
A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass11
Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging11
In-depth evaluation of root infection systems using the vascular fungus Verticillium longisporum as soil-borne model pathogen11
Rapid real-time quantitative colorimetric LAMP methodology for field detection of Verticillium dahliae in crude olive-plant samples11
Development of a semi-open chamber system for the gas exchange measurement of whole-canopy under steady and unsteady states in cucumber seedlings11
PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time11
Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification11
Characterization of leaf surface phenotypes based on light interaction11
Accelerating leaf area measurement using a volumetric approach11
Overexpressing Arabidopsis thaliana ACBP6 in transgenic rapid-cycling Brassica napus confers cold tolerance11
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning11
DNA-free high-quality RNA extraction from 39 difficult-to-extract plant species (representing seasonal tissues and tissue types) of 32 families, and its validation for downstream molecular application11
Development of a highly efficient virus-free regeneration system of Salvia miltiorrhiza from Sichuan using apical meristem as explants11
The mechanisms and prediction of non-structural carbohydrates accretion and depletion after mechanical wounding in slash pine (Pinus elliottii) using near-infrared reflectance spectroscopy10
Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM10
Swin-Unet++: a study on phenotypic parameter analysis of cabbage seedling roots10
A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)10
High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat10
In-vivo Raman microspectroscopy reveals differential nitrate concentration in different developmental zones in Arabidopsis roots10
Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species10
An automated phenotyping method for Chinese Cymbidium seedlings based on 3D point cloud10
Photolysis of caged cytokinin in single cells of Arabidopsis thaliana10
Developing non-invasive 3D quantificational imaging for intelligent coconut analysis system with X-ray10
Exploring the impact of light intensity under speed breeding conditions on the development and growth of lentil and chickpea10
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods10
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