ArticleFunctional & integrative genomics2024
Breaking the yield-quality tradeoff: OsNLP3 in rice.
Article in Functional & integrative genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Natural Variation and Expression of OsCFF1 Affect the Formation of Rice Chalkiness.Rice (New York, N.Y.) · 2026Article
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
Abstract
A recent study by Sun et al. OsNLP3 enhances grain weight and reduces grain chalkiness in rice sheds new insight on the crucial role of OsNLP3 in regulating grain weight and chalkiness through its interaction with OsCEP6.1 and OsNF-YA8 and suppress their expression. The research reveals a promising pathway for developing strategies to reduce chalkiness while enhancing grain yield, paving the way for improved rice crop productivity.
Indexed as
Identifiers
39570466What 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.