ArticlePlant methods2018
Image-based methods for phenotyping growth dynamics and fitness components in
Article in Plant methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Large-scale GWAS integrated with image-based phenotyping reveals loci and trait-associated markers for Perilla frutescens seed traits.BMC plant biology · 2026Article
- siRNA-guided DNA-methylation at a sucrose transporter gene potentially contributes to climatic plant adaptation.PLoS biology · 2026Article
- AutoSiQ: a curated haploidFrontiers in plant science · 2026Article
- A major trade-off between growth and defense in Arabidopsis thaliana can vanish in field conditions.PLoS biology · 2025Article
- It's all in the timing: vegetative phase change alters selection under drought and contributes to local adaptation.bioRxiv : the preprint server for biology · 2025Article
- From Organelle Morphology to Whole-Plant Phenotyping: A Phenotypic Detection Method Based on Deep Learning.Plants (Basel, Switzerland) · 2024Article
- Accurate classification of wheat freeze injury severity from the color information in digital canopy images.PloS one · 2024Article
- Review
- Pervasive under-dominance in gene expression underlying emergent growth trajectories in Arabidopsis thaliana hybrids.Genome biology · 2023Article
- AraDiv: a dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana.Scientific data · 2023Article
- Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image.PloS one · 2023Article
- Article
- Leaf Count Aided Novel Framework for Rice (Plants (Basel, Switzerland) · 2022Article
- Article
- High-throughput measurement of plant fitness traits with an object detection method using Faster R-CNN.The New phytologist · 2022Article
- Into the range: a latitudinal gradient or a center-margins differentiation of ecological strategies in Arabidopsis thaliana?Annals of botany · 2022Article
- LED color gradient as a new screening tool for rapid phenotyping of plant responses to light quality.GigaScience · 2022Article
- High-resolution imaging as a tool for identifying quantitative trait loci that regulate photomorphogenesis inAoB PLANTS · 2021Article
- Open source 3D phenotyping of chickpea plant architecture across plant development.Plant methods · 2021Article
- Exploring genetic architecture for pod-related traits in soybean using image-based phenotyping.Molecular breeding : new strategies in plant improvement · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe model species
resultsWe developed two models to predict plant dry mass and fruit number from the parameters extracted with the analysis of rosette and inflorescence images. Predictive models were trained by sacrificing growing individuals for dry mass estimation, and manually measuring a fraction of individuals for fruit number at maturity. Using a cross-validation approach, we showed that quantitative parameters extracted from image analysis predicts more 90% of both plant dry mass and fruit number. When used on 451 natural accessions, the method allowed modeling growth dynamics, including relative growth rate, throughout the life cycle of various ecotypes. Estimated growth-related traits had high heritability (0.65 <
conclusionsThe method we propose here is an application of automated computerization of plant images with ImageJ, and subsequent statistical modeling in R. It allows plant biologists to measure growth dynamics and fruit number in hundreds of individuals with simple computing steps that can be repeated and adjusted to a wide range of laboratory conditions. It is thus a flexible toolkit for the measurement of fitness-related traits in large populations of a model species.
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