Evidence map›Paper›PMID 33224163›Full record

ArticleFrontiers in plant science2020

Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping, and Genomic Prediction in Tropical Maize Germplasm.

Maguta Kibe, Sudha K Nair, Biswanath Das, Jumbo M Bright, Dan Makumbi, Johnson Kinyua, L M Suresh, Yoseph Beyene, Michael S Olsen, Boddupalli M Prasanna and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

21 citing papers in PubMed, 42 citations in OpenAlex.

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  6. Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  19. Genetic dissection of maize disease resistance and its applications in molecular breeding.Molecular breeding : new strategies in plant improvement · 2021
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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

11 authors at 3 institutions in 2 countries.

Maguta KibeInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Sudha K NairInternational Maize and Wheat Improvement Center, Hyderabad, India.
Biswanath DasInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Jumbo M BrightInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Dan MakumbiInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Johnson KinyuaJomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
L M SureshInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Yoseph BeyeneInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Michael S OlsenInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Boddupalli M PrasannaInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Manje GowdaInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
International Maize and Wheat Improvement Center · KEInternational Maize and Wheat Improvement Center · INJomo Kenyatta University of Agriculture and Technology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gray leaf spot (GLS) is one of the major maize foliar diseases in sub-Saharan Africa. Resistance to GLS is controlled by multiple genes with additive effect and is influenced by both genotype and environment. The objectives of the study were to dissect the genetic architecture of GLS resistance through linkage mapping and genome-wide association study (GWAS) and assessing the potential of genomic prediction (GP). We used both biparental populations and an association mapping panel of 410 diverse tropical/subtropical inbred lines that were genotyped using genotype by sequencing. Phenotypic evaluation in two to four environments revealed significant genotypic variation and moderate to high heritability estimates ranging from 0.43 to 0.69. GLS was negatively and significantly correlated with grain yield, anthesis date, and plant height. Linkage mapping in five populations revealed 22 quantitative trait loci (QTLs) for GLS resistance. A QTL on chromosome 7 (

Indexed as

disease resistanceGLSGPGWASJLAMSNP

Identifiers

PMID33224163
PMCPMC7667048
OpenAlexW3095178402

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.