Evidence map›Paper›PMID 31877962›Full record

ArticleGenes2019

Genome-Wide Analyses and Prediction of Resistance to MLN in Large Tropical Maize Germplasm.

Christine Nyaga, Manje Gowda, Yoseph Beyene, Wilson T Muriithi, Dan Makumbi, Michael S Olsen, L M Suresh, Jumbo M Bright, Biswanath Das, Boddupalli M Prasanna

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. 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
6.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 52 citations in OpenAlex.

  1. Achieving High-Density and Stress-Resilient Maize Breeding Via Germplasm Innovation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Exploiting genomic tools for genetic dissection and improving the resistance to Fusarium stalk rot in tropical maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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  17. Genetic dissection of maize disease resistance and its applications in molecular breeding.Molecular breeding : new strategies in plant improvement · 2021
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  19. Article
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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 at 2 institutions in 1 country.

Christine NyagaDepartment of Agricultural Science and Technology, Kenyatta University, Nairobi 43844-00100, Kenya.
Manje GowdaInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.ORCID 0000-0003-4434-6364
Yoseph BeyeneInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.
Wilson T MuriithiDepartment of Agricultural Science and Technology, Kenyatta University, Nairobi 43844-00100, Kenya.
Dan MakumbiInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.ORCID 0000-0002-1801-5986
Michael S OlsenInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.ORCID 0000-0002-8818-6238
L M SureshInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.
Jumbo M BrightInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.
Biswanath DasInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.
Boddupalli M PrasannaInternational Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.
International Maize and Wheat Improvement Center · KEKenyatta University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize lethal necrosis (MLN), caused by co-infection of maize chlorotic mottle virus and sugarcane mosaic virus, can lead up to 100% yield loss. Identification and validation of genomic regions can facilitate marker assisted breeding for resistance to MLN. Our objectives were to identify marker-trait associations using genome wide association study and assess the potential of genomic prediction for MLN resistance in a large panel of diverse maize lines. A set of 1400 diverse maize tropical inbred lines were evaluated for their response to MLN under artificial inoculation by measuring disease severity or incidence and area under disease progress curve (AUDPC). All lines were genotyped with genotyping by sequencing (GBS) SNPs. The phenotypic variation was significant for all traits and the heritability estimates were moderate to high. GWAS revealed 32 significantly associated SNPs for MLN resistance (at

Indexed as

Chromosome MappingChromosomes, PlantDisease ResistanceGenome-Wide Association StudyGenomicsGenotypePhenotypePlant DiseasesPolymorphism, Single NucleotidePotyvirusQuantitative Trait LociSeedsTombusviridaeZea maysmaize chlorotic mottle virusGPGWASmaize lethal necrosismarkersresistancevalidation

Identifiers

PMID31877962
PMCPMC7016728
OpenAlexW2995091540

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.