Evidence map›Paper›PMID 36127632›Full record

ArticleBMC plant biology2022

Genome wide association analysis for yield related traits in maize.

Tingru Zeng, Zhaodong Meng, Runqing Yue, Shouping Lu, Wenlan Li, Wencai Li, Hong Meng, Qi Sun

Abstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  15. The chromatin accessibility landscape during early maize seed development.The Plant journal : for cell and molecular biology · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Tingru ZengMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Zhaodong MengMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Runqing YueMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Shouping LuMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Wenlan LiMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Wencai LiMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Hong MengMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Qi SunMaize Institute, Shandong Academy of Agricultural Sciences, Jinan, China. 15069169013@sina.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the genetic basis of yield related traits contributes to the improvement of grain yield in maize.

resultsUsing 291 excellent maize inbred lines as materials, six yield related traits of maize, including grain yield per plant (GYP), grain length (GL), grain width (GW), kernel number per row (KNR), 100 kernel weight (HKW) and tassel branch number (TBN) were investigated in Jinan, in 2017, 2018 and 2019. The average values of three environments were taken as the phenotypic data of yield related traits, and they were statistically analyzed. Based on 38,683 high-quality SNP markers in the whole genome of the association panel, the MLM with PCA model was used for genome-wide association analysis (GWAS) to obtain 59 significantly associated SNP sites. Moreover, 59 significantly associated SNPs (P < 0.0001) referring to GYP, GL, GW, KNR, HKW and TBN, of which 14 SNPs located in yield related QTLs/QTNs previously reported. A total of 66 candidate genes were identified based on the 59 significantly associated SNPs, of which 58 had functional annotation.

conclusionsUsing genome-wide association analysis strategy to identify genetic loci related to maize yield, a total of 59 significantly associated SNP were detected. Those results aid in our understanding of the genetic architecture of maize yield and provide useful SNPs for genetic improvement of maize.

Indexed as

Genome-Wide Association StudyZea maysChromosome MappingEdible GrainPhenotypeQuantitative Trait LociGenome-wide association studyMaizeMarker-assisted selectionQuantitative trait nucleotideYield related trait

Identifiers

PMID36127632
PMCPMC9490995

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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.