Evidence map›Paper›PMID 31640296›Full record

ArticlePlants (Basel, Switzerland)2019

Genome-Wide Association Analysis of Plant Height Using the Maize F1 Population.

Yong Zhang, Jiyu Wan, Lian He, Hai Lan, Lujiang Li

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  7. Integrative mapping in large inbred and hybrid association panels along with an FTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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

5 authors.

Yong ZhangMaize Research Institute, Sichuan Agricultural University/Key Laboratory of Crop Genetic Resources and Improvement, Ministry of Education, Chengdu 611130, Sichuan, China. YongZhang978812203@163.com.
Jiyu WanMaize Research Institute, Sichuan Agricultural University/Key Laboratory of Crop Genetic Resources and Improvement, Ministry of Education, Chengdu 611130, Sichuan, China. wanjiyu61@163.com.
Lian HeMaize Research Institute, Sichuan Agricultural University/Key Laboratory of Crop Genetic Resources and Improvement, Ministry of Education, Chengdu 611130, Sichuan, China. helian912@126.com.
Hai LanMaize Research Institute, Sichuan Agricultural University/Key Laboratory of Crop Genetic Resources and Improvement, Ministry of Education, Chengdu 611130, Sichuan, China. lanhai_maize@163.com.
Lujiang LiMaize Research Institute, Sichuan Agricultural University/Key Laboratory of Crop Genetic Resources and Improvement, Ministry of Education, Chengdu 611130, Sichuan, China. lilujiang@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drastic changes in plant height (PH) are observed when maize adapt to a higher plant density. Most importantly, PH is an important factor affecting maize yield. Although the genetic basis of PH has been extensively studied using different populations during the past decades, genetic basis remains unclear in the F1 population, which was a widely used population in production. In this study, a genome-wide association study (GWAS) was conducted using an F1 population consisting of 300 maize hybrids with 17,652 single nucleotide polymorphisms (SNPs) makers to identify candidate genes for controlling PH. A total of nine significant SNPs makers and two candidate genes were identified for PH. The candidate genes, Zm00001d018617 and Zm00001d023659, were the genes most probable to be involved in the development of PH. Our results provide new insights into the genetic basis of PH in maize.

Indexed as

F1GWASmaizeplant height

Identifiers

PMID31640296
PMCPMC6843250

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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.