ReviewCurrent opinion in biotechnology2019
Uncovering the hidden half of plants using new advances in root phenotyping.
Review in Current opinion in biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
152 citing papers in PubMed.
- RootQuantV2: Adapting a Vision Foundation Model for Root-Trait Regression from Minirhizotron Imagery.ArXiv · 2026Article
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- An introduction to the fundamentals of root systems research in cultivated plants.Annals of botany · 2026Review
- Soil Warming Shifts Seasonal and Soil Depth-Related Root Growth Dynamics in Subarctic Grasslands.Global change biology · 2026Article
- Integrating soil imaging with spatial omics to uncover root-soil interactions.Plant communications · 2026Review
- Deep aerenchyma: a transformer-based pipeline for scalable phenotyping of rice root aerenchyma lacunae across environments.Plant methods · 2026Article
- Integrating 3D phenotyping and functional-structural plant models for crop ideotype breeding.Nature communications · 2026Review
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- GrowScreen-Rhizo 3 - automated large-scale high throughput greenhouse phenotyping of plant root and shoot development.Plant phenomics (Washington, D.C.) · 2026Article
- Magnetometry for Agriculture and Animal Systems: From Classical Sensors to Quantum-Enabled Biosensing.Biosensors · 2026Review
- Genetic dissection of root traits in barley identifies major QTLs and domestication signature.Plant cell reports · 2026Article
- Physiological and morphological drivers of early-spring vigor in warm-climate crops under suboptimal temperatures.Scientific reports · 2026Article
- Root anatomical gradients and cultivar differences underlie variation in root hydraulic properties in German winter wheat.Journal of experimental botany · 2026Article
- Root segmentation beyond species boundaries: A generalizable framework for anatomical analysis.Plant phenomics (Washington, D.C.) · 2026Article
- The Rapid Anatomics Tool (RAT): A low-cost root anatomical phenotyping platform reveals changes in root anatomy along the root axis.Plant phenomics (Washington, D.C.) · 2026Article
- Effect of Silicon on Early Root and Shoot Phenotypes of Rice in Hydroponic and Soil Systems.Plants (Basel, Switzerland) · 2026Article
- Phenological growth stages of Finger millet (Frontiers in plant science · 2026Article
- Deciphering plant stress resilience in different millet crops: from multi-omics discoveries to predictive breeding for climate-resilient crop enhancement.Frontiers in plant science · 2026Review
- AnFrontiers in plant science · 2026Article
- Root growth and function in New Zealand pasture systems: a perspective on research needs, methods, and system integration.Frontiers in plant science · 2026Article
92 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Major increases in crop yield are required to keep pace with population growth and climate change. Improvements to the architecture of crop roots promise to deliver increases in water and nutrient use efficiency but profiling the root phenome (i.e. its structure and function) represents a major bottleneck. We describe how advances in imaging and sensor technologies are making root phenomic studies possible. However, methodological advances in acquisition, handling and processing of the resulting 'big-data' is becoming increasingly important. Advances in automated image analysis approaches such as Deep Learning promise to transform the root phenotyping landscape. Collectively, these innovations are helping drive the selection of the next-generation of crops to deliver real world impact for ongoing global food security efforts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.