ReviewScientifica2016
Updated Methods for Seed Shape Analysis.
Review in Scientifica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Ecological study on alien Amaranthus spinosus L. in the Egyptian Nile Valley.Scientific reports · 2026Article
- Digitalised phenotyping of pepper (Capsicum spp.) using effective RGB imaging and optimised camera positioning.Scientific reports · 2026Article
- Genome-wide association study to identification of candidate genes influencing key seed traits in Perilla frutescens.BMC plant biology · 2025Article
- Diversity of Phytochemical Content, Antioxidant Activity, and Fruit Morphometry of Three Mallow,Plants (Basel, Switzerland) · 2025Article
- Evaluation of the Spike Diversity of Seven Hexaploid Wheat Species and an Artificial Amphidiploid Using a Quadrangle Model Obtained from 2D Images.Plants (Basel, Switzerland) · 2024Article
- Automatic Measurement of Seed Geometric Parameters Using a Handheld Scanner.Sensors (Basel, Switzerland) · 2024Article
- Morphological Seed Traits Predict Early Performance of Native Species to Pelletized Seed Enhancement Technologies.Plants (Basel, Switzerland) · 2024Article
- Analyzing Medicago spp. seed morphology using GWAS and machine learning.Scientific reports · 2024Article
- Article
- Pilot study: is there an influence of lower limb positioning during magnetic resonance imaging on muscle cross section shape assessment in the thigh?BMC research notes · 2023Article
- Genome-Wide Association Study of Seed Morphology Traits in Senegalese Sorghum Cultivars.Plants (Basel, Switzerland) · 2023Article
- Estimation of morphological variation in seed traits ofFrontiers in plant science · 2023Article
- Evaluating relationships between seed morphological traits and seed dormancy inFrontiers in plant science · 2023Article
- The Outline of Seed Silhouettes: A Morphological Approach toPlants (Basel, Switzerland) · 2022Article
- QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing.Plants (Basel, Switzerland) · 2022Article
- High-throughput measurement of plant fitness traits with an object detection method using Faster R-CNN.The New phytologist · 2022Article
- New Geometric Models for Shape Quantification of the Dorsal View in Seeds ofPlants (Basel, Switzerland) · 2022Article
- Seed Morphology in Species from thePlants (Basel, Switzerland) · 2022Article
- Metalliferous habitats and seed microbes affect the seed morphology and reproductive strategy ofPlant and soil · 2022Article
- Relationship between the Characteristics of Bread Wheat Grains, Storage Time and Germination.Plants (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Morphological variation in seed characters includes differences in seed size and shape. Seed shape is an important trait in plant identification and classification. In addition it has agronomic importance because it reflects genetic, physiological, and ecological components and affects yield, quality, and market price. The use of digital technologies, together with development of quantification and modeling methods, allows a better description of seed shape. Image processing systems are used in the automatic determination of seed size and shape, becoming a basic tool in the study of diversity. Seed shape is determined by a variety of indexes (circularity, roundness, and J index). The comparison of the seed images to a geometrical figure (circle, cardioid, ellipse, ellipsoid, etc.) provides a precise quantification of shape. The methods of shape quantification based on these models are useful for an accurate description allowing to compare between genotypes or along developmental phases as well as to establish the level of variation in different sets of seeds.
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.