Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems.
about
Advanced imaging techniques for the study of plant growth and developmentLarge-scale sequestration of atmospheric carbon via plant roots in natural and agricultural ecosystems: why and howA simple and versatile 2-dimensional platform to study plant germination and growth under controlled humidityRoot System Markup Language: Toward a Unified Root Architecture Description LanguagePlant Water Uptake in Drying SoilsA Novel Image-Analysis Toolbox Enabling Quantitative Analysis of Root System ArchitectureRoots Withstanding their Environment: Exploiting Root System Architecture Responses to Abiotic Stress to Improve Crop ToleranceDigital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomicsA practical introduction to skeletons for the plant sciencesHigh-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response.Matching roots to their environmentRoot-root interactions: extending our perspective to be more inclusive of the range of theories in ecology and agriculture using in-vivo analysesHigh-throughput imaging and analysis of root system architecture in Brachypodium distachyon under differential nutrient availabilityRoot system architecture: insights from Arabidopsis and cereal cropsLeaf extraction and analysis framework graphical user interface: segmenting and analyzing the structure of leaf veins and areolesBreeding crop plants with deep roots: their role in sustainable carbon, nutrient and water sequestrationOptimizing root system architecture in biofuel crops for sustainable energy production and soil carbon sequestrationHigh-throughput phenotyping (HTP) identifies seedling root traits linked to variation in seed yield and nutrient capture in field-grown oilseed rape (Brassica napus L.).Belowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy.DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots.Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification.Quantifying the impact of soil compaction on root system architecture in tomato (Solanum lycopersicum) by X-ray micro-computed tomographyThe maize Gα gene COMPACT PLANT2 functions in CLAVATA signalling to control shoot meristem size.Using flatbed scanners to collect high-resolution time-lapsed images of the arabidopsis root gravitropic response.An integrated method for quantifying root architecture of field-grown maize.Analysis of maize (Zea mays L.) seedling roots with the high-throughput image analysis tool ARIA (Automatic Root Image Analysis).A novel mesh processing based technique for 3D plant analysisGiA Roots: software for the high throughput analysis of plant root system architecture.A review of imaging techniques for plant phenotyping.Genome-wide association mapping of root traits in a japonica rice panel.Cherenkov luminescence imaging in transparent media and the imaging of thin or shallow sources.Natural genetic variation of root system architecture from Arabidopsis to Brachypodium: towards adaptive valueIntensive field phenotyping of maize (Zea mays L.) root crowns identifies phenes and phene integration associated with plant growth and nitrogen acquisitionPhenotyping for drought tolerance of crops in the genomics era.3D imaging and mechanical modeling of helical buckling in Medicago truncatula plant roots.PhenoPhyte: a flexible affordable method to quantify 2D phenotypes from imageryRelationships between root diameter, root length and root branching along lateral roots in adult, field-grown maize.Genotypic recognition and spatial responses by rice roots.Using high resolution computed tomography to visualize the three dimensional structure and function of plant vasculature.3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture
P2860
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P2860
Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Imaging and analysis platform ...... ranking of plant root systems.
@en
Imaging and analysis platform ...... ranking of plant root systems.
@nl
type
label
Imaging and analysis platform ...... ranking of plant root systems.
@en
Imaging and analysis platform ...... ranking of plant root systems.
@nl
prefLabel
Imaging and analysis platform ...... ranking of plant root systems.
@en
Imaging and analysis platform ...... ranking of plant root systems.
@nl
P2093
P2860
P356
P1433
P1476
Imaging and analysis platform ...... ranking of plant root systems.
@en
P2093
Heather Belcher
John Harer
Joshua S Weitz
Olga Symonova
Philip N Benfey
Yueling Hao
Yuriy Mileyko
P2860
P304
P356
10.1104/PP.109.150748
P407
P577
2010-01-27T00:00:00Z