ArticlePlant direct2025
Identification of Novel Candidate Genes Associated With the Symbiotic Compatibility of Soybean With Rhizobia Under Natural Conditions.
Article in Plant direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- YOLO-based high-throughput phenotyping pipeline for soybean nodulation traits in genomic research.Frontiers in plant science · 2026Article
- Correction to "Identification of Novel Candidate Genes Associated With the Symbiotic Compatibility of Soybean With Rhizobia Under Natural Conditions".Plant direct · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A robust symbiotic relationship between soybean and rhizobia can enhance the yield and quality of soybeans by reducing nitrogen fertilizer input, thereby contributing to sustainable agriculture. However, the genetic interplay between soybean cultivars and the rhizobial species colonizing their roots under natural conditions is yet to be sufficiently assessed. In this study, we build on previous observations that have revealed a significant variation in the prevalence of rhizobial species associated with the soybean cultivars "Peking" and "Tamahomare." Using recombinant inbred lines derived from a cross between Peking and Tamahomare, we performed quantitative trait loci (QTL) analysis of the proportion of
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Registered trials
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