ArticleJournal of experimental botany2015
X-ray computed tomography to study rice (Oryza sativa L.) panicle development.
Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Size measurement and filled/unfilled detection of rice grains using backlight image processing.Frontiers in plant science · 2023Article
- Recent trends in root phenomics of plant systems with available methods- discrepancies and consonances.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Review
- Phenotyping Complex Plant Structures with a Large Format Industrial Scale High-Resolution X-Ray Tomography Instrument.Methods in molecular biology (Clifton, N.J.) · 2022Article
- A non-destructive coconut fruit and seed traits extraction method based on Micro-CT and deeplabV3+ model.Frontiers in plant science · 2022Article
- Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed Tomography.Plant phenomics (Washington, D.C.) · 2020Article
- Characterizing 3D inflorescence architecture in grapevine using X-ray imaging and advanced morphometrics: implications for understanding cluster density.Journal of experimental botany · 2019Article
- Investigating the microstructure of plant leaves in 3D with lab-based X-ray computed tomography.Plant methods · 2018Article
- Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.Plant methods · 2017Article
- Non-destructive determination of floral staging in cereals using X-ray micro computed tomography (µCT).Plant methods · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational tomography is an important technique for developing digital agricultural models that may help farmers and breeders for increasing crop quality and yield. In the present study an attempt has been made to understand rice seed development within the panicle at different developmental stages using this technique. During the first phase of cell division the Hounsfield Unit (HU) value remained low, increased in the dry matter accumulation phase, and finally reached a maximum at the maturation stage. HU value and seed dry weight showed a linear relationship in the varieties studied. This relationship was confirmed subsequently using seven other varieties. This is therefore an easy, simple, and non-invasive technique which may help breeders to select the best varieties. In addition, it may also help farmers to optimize post-anthesis agronomic practices as well as deciding the crop harvest time for higher grain yield.
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.