ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025
Genome-wide association analyses for revealing QTN, QTN-by-environment and QTN-by-QTN interactions in soybean phenology.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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
No grant is acknowledged in the PubMed record.
Abstract
contextPhenology plays an important role in determining the yield and environmental adaptation of soybean, but easily affected by quantitative trait nucleotides (QTN)-by-environment interactions (QEI) and QTN-by-QTN interactions (QQIs). Detailed understanding of the genetic basis and the interactions between genome and environments is critical for the development of cultivars with geographical-appropriate phenology.
methodsA compressed variance component mixed model (3VmrMLM) was used to detect QTNs, QEIs and QQIs for four key phenological traits of 345 soybean accessions. These traits include days from emergence to first flower (R1), pod beginning (R3), seed formation (R5) and maturity initiation (R7). Meanwhile, QTNs, QEIs and QQIs were identified in at least ten environments and Best Linear Unbiased Prediction (BLUP) value.
results(i) A total of 110-193 QTNs, 10-31 QEIs and 4-8 QQIs were identified for each trait. (ii) Sixty-six genes involved in regulation of flower to maturity were identified by functional annotations of GO. (iii) Further haplotype analysis assigned soybean phenology-associated genes into 34 haplotype blocks with 136 haplotypes. (iv) Fifty-nine genes contained within 31 haplotype blocks can be considered as candidate genes for regulating soybean phenology, because changes in these haplotypes led to significant variations in the corresponding phenological traits.
conclusionsExtensive genetic analysis of the QEIs and QQIs was conducted on key phenological stages in soybean. The candidate genes predicted provide valuable information for functional validation to elucidate the molecular mechanism underlying the soybean phenology.
Indexed as
Identifiers
40407902What 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.