ArticleFrontiers in plant science2020
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Image-based high-throughput phenotyping enables genetic analyses of pod morphological traits in mungbean (Vigna radiata (L.) R. Wilczek).G3 (Bethesda, Md.) · 2026Article
- Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.GigaScience · 2026Article
- Implementing marker covariates and multi-trait genomic selection models to improve grain milling, appearance, cooking, and edible quality in rice (Oryza sativa L.).The plant genome · 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
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions.Plant physiology · 2024Article
- Implementing multi-trait genomic selection to improve grain milling quality in oats (Avena sativa L.).The plant genome · 2024Article
- Deep learning-based elaiosome detection in milk thistle seed for efficient high-throughput phenotyping.Frontiers in plant science · 2024Article
- Phenotypic and transcriptomic responses of diverse rice accessions to transient heat stress during early grain development.Frontiers in plant science · 2024Article
- Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice.G3 (Bethesda, Md.) · 2023Article
- Growth and transcriptional response of wheat and rice to the tertiary amine BMVE.Frontiers in plant science · 2023Article
- Phenotyping Fusarium head blight through seed morphology characteristics using RGB imaging.Frontiers in plant science · 2022Article
- RiceFrontiers in plant science · 2022Article
- HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.Sensors (Basel, Switzerland) · 2021Article
- Review
- Allelic variation in rice Fertilization Independent Endosperm 1 contributes to grain width under high night temperature stress.The New phytologist · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software,
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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.