Evidence map›Paper›PMID 36466247›Full record

ArticleFrontiers in plant science2022

A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice.

Kelvin Dodzi Aloryi, Nnaemeka Emmanuel Okpala, Aduragbemi Amo, Semiu Folaniyi Bello, Selorm Akaba, Xiaohai Tian

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight atPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
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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

6 authors.

Kelvin Dodzi AloryiHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
Nnaemeka Emmanuel OkpalaHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
Aduragbemi AmoInstitute of Plant Breeding, Genetics and Genomics University of Georgia, Athens, GA, United States.
Semiu Folaniyi BelloDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.
Selorm AkabaSchool of Agriculture, University of Cape Coast, Cape Coast, Ghana.
Xiaohai TianHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving grain yield potential in rice is an important step toward addressing global food security challenges. The meta

Indexed as

candidate genesGenome-Wide Association Studiesgrain yieldmarker-assisted selectionMeta-QTL analysisrice

Identifiers

PMID36466247
PMCPMC9709451

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Registered trials

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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.