ArticleScientific reports2025
Mapping of low-nitrogen tolerance genes in Japonica rice at seedling stage by genome-wide association study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Nitrogen is an essential nutrient, which plays an important role in plant growth and development process and increases crop production. However, excessive nitrogen application will lead to a series of problems such as water eutrophication and economic costs. Therefore, it is of great significance to explore rice low-nitrogen tolerance genes and breed new varieties with higher nitrogen utilization efficiency for improving the economic benefits and agricultural sustainability of agricultural production. In this study, 295 japonica rice varieties were used as materials to measure root dry weight, leaf dry weight and root-shoot ratio at seedling stage under low and high nitrogen conditions. By using Genome-wide association analysis and haplotype analysis of 587 genes among the 47 QTLs obtained, we finally identified significant phenotypic differences between the different haplotypes of the 96 genes. Based on the criteria of |log
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.