Evidence map›Paper›PMID 41288734›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Candidate genes for kernel ratio in maize identified via combined GWAS and QTL mapping across multiple environments.

Fengli Ye, Ranjan K Shaw, Babar Ijaz, Fuyan Jiang, Jiachen Sun, Tao Dai, Yaqi Bi, Xiaoli Hong, Xingming Fan

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In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Fengli YeSchool of Agriculture, Yunnan University, Kunming, 650500, China.
Ranjan K ShawInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Babar IjazInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Fuyan JiangInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Jiachen SunInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Tao DaiSchool of Agriculture, Yunnan University, Kunming, 650500, China.
Yaqi BiInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Xiaoli HongSchool of Agriculture, Yunnan University, Kunming, 650500, China.
Xingming FanInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China. xingmingfan@163.com.ORCID http://orcid.org/0009-0009-4742-9246

Funding

the High-level Scientific and Technological Talents and Innovation Team Program of Yunnan Province 202405AS350030
6 · The paper itself

Abstract

key messageThis study is the first to establish an association between Zm00001eb257890 and maize kernel ratio (KR), offering novel insights into the genetic mechanisms regulating KR. These findings enhance our understanding of the genetic architecture of KR and provide promising targets for molecular breeding strategies aimed at improving maize yield. Kernel Ratio (KR) is a crucial trait determining kernel yield and the efficiency of assimilate partitioning to maize kernels. To explore its genetic basis, a multi-parent population (MPP) was developed by crossing the temperate inbred line Ye107 with five tropical/temperate inbred lines, generating 678 F

Indexed as

Genes, PlantQuantitative Trait LociSeedsZea maysChromosome MappingEnvironmentGenome-Wide Association StudyGenotypePhenotypePlant BreedingPolymorphism, Single Nucleotide

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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.