Evidence map›Paper›PMID 32925954›Full record

ArticlePloS one2020

Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation.

Baffour Badu-Apraku, Samuel Adewale, Agre Angelot Paterne, Melaku Gedil, Johnson Toyinbo, Robert Asiedu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
  8. Genetic resources and breeding of maize forFrontiers in plant science · 2023
    Review
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Genome-Wide Association Studies forInternational journal of genomics · 2021
    Article
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 at 1 institution in 1 country.

Baffour Badu-AprakuInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.ORCID 0000-0003-0113-5487
Samuel AdewaleInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Agre Angelot PaterneInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.ORCID 0000-0003-1231-2530
Melaku GedilInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Johnson ToyinboInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Robert AsieduInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
International Institute of Tropical Agriculture · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Striga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga resistance for adequate genetic gains from selection. However, there is no report on the discovery of quantitative trait loci (QTL) for resistance to Striga in maize under artificial field infestation. In the present study, 198 BC1S1 families obtained from a cross involving TZEEI 29 (Striga resistant inbred line) and TZEEI 23 (Striga susceptible inbred line) plus the two parental lines were screened under artificial Striga-infested conditions at two Striga-endemic locations in Nigeria in 2018, to identify QTL associated with Striga resistance indicator traits, including grain yield, ears per plant, Striga damage and number of emerged Striga plants. Genetic map was constructed using 1,386 DArTseq markers distributed across the 10 maize chromosomes, covering 2076 cM of the total genome with a mean spacing of 0.11 cM between the markers. Using composite interval mapping (CIM), fourteen QTL were identified for key Striga resistance/tolerance indicator traits: 3 QTL for grain yield, 4 for ears per plant and 7 for Striga damage at 10 weeks after planting (WAP), across environments. Putative candidate genes which encode major transcription factor families WRKY, bHLH, AP2-EREBPs, MYB, and bZIP involved in plant defense signaling were detected for Striga resistance/tolerance indicator traits. The QTL detected in the present study would be useful for rapid transfer of Striga resistance/tolerance genes into Striga susceptible but high yielding maize genotypes using MAS approaches after validation. Further studies on validation of the QTL in different genetic backgrounds and in different environments would help verify their reproducibility and effective use in breeding for Striga resistance/tolerance.

Indexed as

Quantitative Trait LociDisease ResistanceNigeriaPlant DiseasesStrigaZea mays

Identifiers

PMID32925954
PMCPMC7489516
OpenAlexW3085073856

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.