Evidence map›Paper›PMID 41671069›Full record

ArticlePlant biology (Stuttgart, Germany)2026

Multivariate trait profiling and genetic diversity in a global foxtail millet germplasm panel.

Y Zhao, H-J Wang, B Yang, P B Li, Z Kuerban, H Wang, G Feng, X Hu

Abstract read
In one paragraph

Article in Plant biology (Stuttgart, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Y ZhaoInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.ORCID https://orcid.org/0009-0009-2410-5687
H-J WangInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
B YangInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
P B LiInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
Z KuerbanInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
H WangInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
G FengInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.
X HuInstitute of Crop Research, Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi, Xinjiang, China.

Funding

National Industrial Technology System for Foxtail Millet and Sorghum CARS-06-B30
6 · The paper itself

Abstract

Foxtail millet (Setaria italica L.), known for its climate resilience and dual-purpose utility, is underutilized in breeding programs despite its agricultural potential. To address this, a comprehensive evaluation of 260 accessions from 19 countries was undertaken to assess phenotypic diversity and identify elite germplasms for breeding. Field-based assessments were conducted using 22 traits (8 quantitative and 14 qualitative) measured at seedling and maturity stages. Data were analysed using genetic diversity indices, correlation analysis, principal component analysis (PCA) and hierarchical clustering. Seven traits showed high variability, with yield (CV: 25.92%), grain weight per panicle and single panicle weight being most diverse. Yield positively correlated with plant architecture, panicle structure and biomass traits. PCA revealed four principal components explaining 80.20% of the total variation. Cluster analysis grouped accessions into four phenotypically distinct clusters. The study identified four key groups of accessions: lodging-resistant, dual-purpose high-yielding, early-maturing and agronomically balanced types. This integrative phenotypic analysis enables efficient identification of superior accessions and supports targeted breeding and conservation strategies to improve foxtail millet adaptation and productivity across diverse agroecological zones.

Indexed as

Genetic VariationSetaria PlantMultivariate AnalysisPhenotypePlant BreedingPrincipal Component AnalysisAgronomic characterizationfoxtail millet Setaria italica L.germplasm diversitymultivariate analysistrait association

Identifiers

PMID41671069
PMCPMC13175948

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Registered trials

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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.