Evidence map›Paper›PMID 41451279›Full record

ArticleFrontiers in plant science2025

Genome-wide association studies and genomic selection for leaf-related traits in maize.

Xinyu Yang, Penghao Wu, Wentao Cui, Dilinigeer Alimu, Kaixiang Wang, Jiaojiao Ren

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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

6 authors.

Xinyu Yang *College of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Penghao Wu *College of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Wentao CuiCollege of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Dilinigeer AlimuCollege of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Kaixiang WangCollege of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Jiaojiao RenCollege of Agronomy, Xinjiang Agricultural University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf morphological characteristics are critical factors affecting plant architecture and canopy photosynthesis, all of which ultimately affect grain yield. Elucidation of the genetic basis of maize leaf-related traits could assist breeders in designing effective breeding strategies. Genomic selection (GS) is an effective method to accelerate the breeding process. We performed a genome-wide association study (GWAS) and GS for leaf-related traits in a natural maize population consisting of 291 inbred lines. The GWAS panel was phenotyped at four environments for the leaf length of the first leaf above the upmost ear (L1), the upmost ear leaf (L2), the first leaf below the upmost ear (L3), leaf width of L1, L2, and L3, leaf area of L2 (LAr2), and leaf number above the upmost ear (LNAE), and genotyped by sequencing. The heritability of leaf-related traits was ranged from 77.93% to 87.54%. A total of 24 unique significant SNPs were identified for leaf length at the

Indexed as

genome-wide association studygenomic selectionleaf lengthleaf number above the upmost earleaf widthmaize

Identifiers

PMID41451279
PMCPMC12731249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.