ArticlePlant direct2026
Analysis of Genetic Variation of Rice Straw Characteristics and Its Influence on Biomass.
Article in Plant direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Rice straw sample preparation protocol for cell wall major constituent analysis via Raman spectroscopy.STAR protocols · 2026Article
- Article
- Analysis of Genetic Variation of Rice Straw Characteristics and Its Influence on Biomass.Plant direct · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice straw is a key source of lignocellulosic biomass. GWAS can be used to identify genetic loci controlling stem morphological traits that influence biomass. This study aimed to investigate the genotypic diversity of rice straw internodes through GWAS, using 34,232 single-nucleotide polymorphic sites with a minor allelic frequency (MAF) greater than 0.05. Morphological traits (32) were evaluated in 149 rice accessions at the heading stage. Among the 32 measured traits, 26 were found to be significant. GWAS identified 173 significant SNPs located within 64 QTLs with a putative function in biomass production. Among all the putative genes identified, 21 were selected as candidate genes, including
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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 Socratic graph.