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PI-Plat: A high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

https://doi.org/10.1101/835306
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Fundamentals of Surface Voxelization
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Plant Heat Stress Response and Thermotolerance
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Interactions of elevated [CO2] and night temperature on rice growth and yield
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Towards robust metric reconstruction via a dynamic uncalibrated stereo head
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Rice seed quality development and temperature during late development and maturation
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Solutions for a cultivated planet
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High-throughput measurement of rice tillers using a conveyor equipped with x-ray computed tomography
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High night temperature induces contrasting responses for spikelet fertility, spikelet tissue temperature, flowering characteristics and grain quality in rice
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Rice yields decline with higher night temperature from global warming
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Architectural Evolution and its Implications for Domestication in Grasses
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Selectable traits to increase crop photosynthesis and yield of grain crops
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3D lidar imaging for detecting and understanding plant responses and canopy structure
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Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes
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HYPOTrace: Image Analysis Software for Measuring Hypocotyl Growth and Shape Demonstrated on Arabidopsis Seedlings Undergoing Photomorphogenesis
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Rice Fertilization-Independent Endosperm1 Regulates Seed Size under Heat Stress by Controlling Early Endosperm Development
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High-Resolution Inflorescence Phenotyping Using a Novel Image-Analysis Pipeline, PANorama
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3D sorghum reconstructions from depth images identify QTL regulating shoot architecture
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Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS
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Direct motion stereo for passive navigation
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In-field segmentation and identification of plant structures using 3D imaging
inferredcites →https://doi.org/10.1109/tcbb.2018.2824814openalex-snapshot
Machine Vision System for 3D Plant Phenotyping
inferredcites →https://doi.org/10.1111/j.1439-037x.1993.tb00135.xopenalex-snapshot
Within‐Panicle Variability of Grain Filling in Rice Cultivars with Different Maturities
inferredcites →https://doi.org/10.1111/j.1469-8137.2005.01609.xopenalex-snapshot
PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit
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Survey of contemporary trends in color image segmentation
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Method for registration of 3-D shapes
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Breeding Technologies to Increase Crop Production in a Changing World
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Food Security: The Challenge of Feeding 9 Billion People
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Future Scenarios for Plant Phenotyping
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HTPheno: An image analysis pipeline for high-throughput plant phenotyping
inferredcites →https://doi.org/10.1186/1471-2229-13-122openalex-snapshot
P-TRAP: a Panicle Trait Phenotyping tool
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LAMINA: a tool for rapid quantification of leaf size and shape parameters
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Accurate inference of shoot biomass from high-throughput images of cereal plants
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A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice
inferredcites →https://doi.org/10.1186/s12284-016-0101-xopenalex-snapshot
Rice panicle plasticity in Near Isogenic Lines carrying a QTL for larger panicle is genotype and environment dependent
inferredcites →https://doi.org/10.1186/s12870-018-1504-1openalex-snapshot
A genome-wide association study using a Vietnamese landrace panel of rice (Oryza sativa) reveals new QTLs controlling panicle morphological traits
inferredcites →https://doi.org/10.1186/s13007-015-0072-8openalex-snapshot
Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review
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TIPS: a system for automated image-based phenotyping of maize tassels
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Yield Trends Are Insufficient to Double Global Crop Production by 2050
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Yield Potential: Its Definition, Measurement, and Significance
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MVE - A Multi-View Reconstruction Environment
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PerformanceAnalytics: Econometric Tools for Performance and Risk Analysis
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Combining Image Analysis, Genome Wide Association Studies and Different Field Trials to Reveal Stable Genetic Regions Related to Panicle Architecture and the Number of Spikelets per Panicle in Rice
inferredcites →https://doi.org/10.3389/fpls.2018.01768openalex-snapshot
Transient Heat Stress During Early Seed Development Primes Germination and Seedling Establishment in Rice
inferredcites →https://doi.org/10.3389/fpls.2019.01443openalex-snapshot
Metabolic Dynamics of Developing Rice Seeds Under High Night-Time Temperature Stress
inferredcites →https://doi.org/10.3390/rs9050508openalex-snapshot
3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System
inferredcites →https://doi.org/10.3390/s141120078openalex-snapshot
A Review of Imaging Techniques for Plant Phenotyping
inferredcites →https://doi.org/10.3390/s150921204openalex-snapshot
vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques
inferredcites →https://doi.org/10.5376/pgt.2010.01.0001openalex-snapshot
TraitMill: a Discovery Engine for Identifying Yield-enhancement Genes in Cereals

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ppj2.20015openalex-snapshot
PhenoImage : An open‐source graphical user interface for plant image analysis
inferred← citeshttps://doi.org/10.1111/pce.14103openalex-snapshot
Endoplasmic reticulum stress pathway mediates the early heat stress response of developing rice seeds
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