Evidence map›Paper›PMID 38474217›Full record

ArticleInternational journal of molecular sciences2024

Genome-Wide Association Analysis of Effective Tillers in Rice under Different Nitrogen Gradients.

Yuzhuo Liu, Wei Xin, Liqiang Chen, Yuqi Liu, Xue Wang, Cheng Ma, Laiyuan Zhai, Yingying Feng, Jiping Gao, Wenzhong Zhang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Yuzhuo LiuCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Wei XinCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Liqiang ChenCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Yuqi LiuCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Xue WangCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Cheng MaCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Laiyuan ZhaiShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Yingying FengCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.
Jiping GaoCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0000-0002-1545-7201
Wenzhong ZhangCollege of Agriculture, Shenyang Agricultural University, Shenyang 110866, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen is a crucial element that impacts rice yields, and effective tillering is a significant agronomic characteristic that can influence rice yields. The way that reduced nitrogen affects effective tillering is a complex quantitative trait that is controlled by multiple genes, and its genetic basis requires further exploration. In this study, 469 germplasm varieties were used for a genome-wide association analysis aiming to detect quantitative trait loci (QTL) associated with effective tillering at low (60 kg/hm

Indexed as

Genome-Wide Association StudyOryzaChromosome MappingNitrogenQuantitative Trait LociNitrogengenome-wide association studiesnitrogenricetillering

Identifiers

PMID38474217
PMCPMC10932320

What OpenQuestion holds

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LicenceCC BY
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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.