ArticlePlant physiology2021
SeedQuant: a deep learning-based tool for assessing stimulant and inhibitor activity on root parasitic seeds.
Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 48 citations in OpenAlex.
- LYCOPENE β-CYCLASE overexpression improves growth, modulates hormone content, and affects rhizospheric interactions in tobacco and tomato roots.Plant cell reports · 2025Article
- Arabidopsis response to the apocarotenoid zaxinone involves interference with strigolactone signaling via binding to DWARF14.Nature communications · 2025Article
- Disruption of the karrikin receptor DWARF 14 LIKE (D14L) gene leads to distinct effects on root and shoot growth, and reprogramming of central metabolism in rice.Journal of experimental botany · 2025Article
- LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation.Plant phenomics (Washington, D.C.) · 2025Article
- A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Evaluation of formulated strigolactone analogs for Striga management in Kenyan agriculture.Journal of agriculture and food research · 2025Article
- Zaxinone Synthase overexpression modulates rice physiology and metabolism, enhancing nutrient uptake, growth and productivity.Plant, cell & environment · 2025Article
- SeedGerm-VIG: an open and comprehensive pipeline to quantify seed vigor in wheat and other cereal crops using deep learning-powered dynamic phenotypic analysis.GigaScience · 2025Article
- Structural substitutions on the methoxybenzene ring retain the biological activity of the zaxinone mimics MiZax3.Frontiers in plant science · 2025Article
- New-generation rice seed germination assessment: high efficiency and flexibility via SeedRuler web-based platform.Frontiers in plant science · 2025Article
- Chromosome-scale pearl millet genomes reveal CLAMT1b as key determinant of strigolactone pattern and Striga susceptibility.Nature communications · 2024Article
- Disruption of the riceProceedings of the National Academy of Sciences of the United States of America · 2023Article
- New Series of Zaxinone Mimics (MiZax) for Fundamental and Applied Research.Biomolecules · 2023Article
- ZAXINONE SYNTHASE 2 regulates growth and arbuscular mycorrhizal symbiosis in rice.Plant physiology · 2023Article
- Canonical strigolactones are not the major determinant of tillering but important rhizospheric signals in rice.Science advances · 2022Article
- Article
- Protocol for characterizing strigolactones released by plant roots.STAR protocols · 2022Article
- Article
- MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision.Plant methods · 2022Article
- A New Formulation for Strigolactone Suicidal Germination Agents, towards SuccessfulPlants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Witchweeds (Striga spp.) and broomrapes (Orobanchaceae and Phelipanche spp.) are root parasitic plants that infest many crops in warm and temperate zones, causing enormous yield losses and endangering global food security. Seeds of these obligate parasites require rhizospheric, host-released stimulants to germinate, which opens up possibilities for controlling them by applying specific germination inhibitors or synthetic stimulants that induce lethal germination in the host's absence. To determine their effect on germination, root exudates or synthetic stimulants/inhibitors are usually applied to parasitic seeds in in vitro bioassays, followed by assessment of germination ratios. Although these protocols are very sensitive, the germination recording process is laborious, representing a challenge for researchers and impeding high-throughput screens. Here, we developed an automatic seed census tool to count and discriminate germinated seeds (GS) from non-GS. We combined deep learning, a powerful data-driven framework that can accelerate the procedure and increase its accuracy, for object detection with computer vision latest development based on the Faster Region-based Convolutional Neural Network algorithm. Our method showed an accuracy of 94% in counting seeds of Striga hermonthica and reduced the required time from approximately 5 min to 5 s per image. Our proposed software, SeedQuant, will be of great help for seed germination bioassays and enable high-throughput screening for germination stimulants/inhibitors. SeedQuant is an open-source software that can be further trained to count different types of seeds for research purposes.
Indexed as
Identifiers
What OpenQuestion holds
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.