Evidence map›Paper›PMID 38917065›Full record

ArticlePloS one2024

Genome-wide association analysis of four yield-related traits using a maize (Zea mays L.) F1 population.

Yong Zhang, Ziru Zeng, Feifei Tuo, Jin Yue, Zhu Wang, Weiming Jiang, Xue Chen, Xianya Wei, Qunkai Niu

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Yong ZhangSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.ORCID 0000-0002-8521-2859
Ziru ZengSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Feifei TuoSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Jin YueSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Zhu WangSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Weiming JiangSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Xue ChenSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Xianya WeiSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.
Qunkai NiuSchool of Agronomy and Horticulture, Chengdu Agricultural College, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing the yield of maize F1 hybrid is one of the most important target for breeders. However, as a result of the genetic complexity and extremely low heritability, it is very difficult to directly dissect the genetic basis and molecular mechanisms of yield, and reports on genetic analysis of F1 hybrid yield are rare. Taking F1 hybrid as the research object and dividing the yield into different affect factors, this approach may be the best strategy for clarifying the genetic mechanism of yield. Therefore, in this study, a maize F1 population consisting of 300 hybrids with 17,652 single nucleotide polymorphisms (SNPs) markers was used for genome-wide association study (GWAS) to filtrate candidate genes associated with the four yield-related traits, i.e., kernel row number (KRN), kernel number per row (KNPR), ear tip-barrenness (ETB), and hundred kernel weight (HKW). Combined with the results of previous studies and functional annotation information of candidate genes, a total of six candidate genes were identified as being associated with the four traits, which were involved in plant growth and development, protein synthesis response, phytohormone biosynthesis and signal transduction. Our results improve the understanding of the genetic basis of the four yield-related traits and may be provide a new strategy for the genetic basis of maize yield.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideZea maysGenes, PlantPhenotypeQuantitative Trait Loci

Identifiers

PMID38917065
PMCPMC11198826

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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.