ArticlePlant physiology2014
Image-based high-throughput field phenotyping of crop roots.
Article in Plant physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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Who cites it
97 citing papers in PubMed.
- Evolution of crop phenotypic spaces through domestication.The New phytologist · 2026Article
- Improving 3D reconstruction quality for root phenotyping: assessing the impact of camera calibration and imaging parameters.Plant methods · 2026Article
- Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Root system architecture and drought adaptation: emerging tools and genetic insights.Frontiers in plant science · 2026Review
- YOLO-based high-throughput phenotyping pipeline for soybean nodulation traits in genomic research.Frontiers in plant science · 2026Article
- AnFrontiers in plant science · 2026Article
- Research neglect of root system architecture in root and tuber crops important for Sub-Saharan African Food Security.PloS one · 2026Article
- Non-Invasive Phenotyping of Sugar Beet and Maize Roots Using Field-Scale Spectral Electrical Impedance Tomography.Plant, cell & environment · 2025Article
- A molecular perspective on the role of FERONIA in root growth, nutrient uptake, stress sensing and microbiome assembly.Journal of advanced research · 2025Review
- Phenome-to-genome insights for evaluating root system architecture in field studies of maize.The plant genome · 2025Article
- Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Phenotyping, genome-wide dissection, and prediction of maize root architecture for temperate adaptability.iMeta · 2025Article
- Toward an Automated System for Nondestructive Estimation of Plant Biomass.Plant direct · 2025Article
- Genome-wide association study and genomic prediction of root system architecture traits in Sorghum (Sorghum bicolor (L.) Moench) at the seedling stage.BMC plant biology · 2025Article
- Modulation of polar auxin transport identifies the molecular determinants of source-sink carbon relationships and sink strength in poplar.Tree physiology · 2024Article
- The soil microbiome modulates the sorghum root metabolome and cellular traits with a concomitant reduction of Striga infection.Cell reports · 2024Article
- The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review.Plant phenomics (Washington, D.C.) · 2024Review
- Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges.Frontiers in plant science · 2024Review
- Root phenotypes for improved nitrogen capture.Plant and soil · 2024Review
- Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models.Plant methods · 2023Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current plant phenotyping technologies to characterize agriculturally relevant traits have been primarily developed for use in laboratory and/or greenhouse conditions. In the case of root architectural traits, this limits phenotyping efforts, largely, to young plants grown in specialized containers and growth media. Hence, novel approaches are required to characterize mature root systems of older plants grown under actual soil conditions in the field. Imaging methods able to address the challenges associated with characterizing mature root systems are rare due, in part, to the greater complexity of mature root systems, including the larger size, overlap, and diversity of root components. Our imaging solution combines a field-imaging protocol and algorithmic approach to analyze mature root systems grown in the field. Via two case studies, we demonstrate how image analysis can be utilized to estimate localized root traits that reliably capture heritable architectural diversity as well as environmentally induced architectural variation of both monocot and dicot plants. In the first study, we show that our algorithms and traits (including 13 novel traits inaccessible to manual estimation) can differentiate nine maize (Zea mays) genotypes 8 weeks after planting. The second study focuses on a diversity panel of 188 cowpea (Vigna unguiculata) genotypes to identify which traits are sufficient to differentiate genotypes even when comparing plants whose harvesting date differs up to 14 d. Overall, we find that automatically derived traits can increase both the speed and reproducibility of the trait estimation pipeline under field conditions.
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