ArticleScientific reports2026
Marker-trait association analysis revealed loci linked to salinity tolerance in a worldwide collection of safflower.
Article in Scientific reports, 2026. 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present investigation was designed to identify molecular marker loci linked to essential agronomic traits and oil content under contrasting salinity regimes, and to evaluate the stability of these associations within a globally representative safflower (Carthamus tinctorius L.) germplasm collection. Over two successive years, 100 accessions were evaluated, generating 341 polymorphic amplified fragment length polymorphism (AFLP) markers using 10 EcoRI/MseI primer combinations. These markers were subsequently employed in association mapping analyses encompassing 17 agronomic traits and their derived indices. Population structure assessment revealed three genetically distinct subgroups within the panel. Mixed linear model (MLM) analysis facilitated the identification of 140 significant MTAs under non-saline conditions and 128 MTAs under salinity stress. Several loci exhibited associations with multiple traits, suggesting either pleiotropic regulatory functions or tight genetic linkage. Markers M61/E37-1, M61/E37-16, M62/E41-15, M60/E38-9, M51/E41-31, M61/E40-20, and M47/E37-9 were consistently associated with salinity tolerance across environments. After confirmation, these MTAs represent valuable resources for marker-assisted selection and for the targeted introgression of favorable alleles into safflower breeding programs adapted to both optimal and saline conditions. Furthermore, the results provide a critical framework for fine-scale genetic mapping and the eventual isolation of causal genes and quantitative trait loci (QTLs) that confer salinity tolerance.
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.