Evidence map›Paper›PMID 33564080›Full record

ArticleScientific reports2021

Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population.

A López-Malvar, A Butron, R A Malvar, S J McQueen-Mason, L Faas, L D Gómez, P Revilla, D J Figueroa-Garrido, R Santiago

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Deciphering the regulatory network of lignocellulose biosynthesis in bread wheat through genome-wide association studies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Review
  5. Overcoming roadblocks forFrontiers in plant science · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

9 authors.

A López-MalvarFacultad de Biología, Departamento de Biología Vegetal y Ciencias del Suelo, Universidad de Vigo, As Lagoas Marcosende, 36310, Vigo, Spain. alopezmalvar@uvigo.es.
A ButronMisión Biológica de Galicia (CSIC), Pazo de Salcedo, Carballeira 8, 36143, Pontevedra, Spain.
R A MalvarMisión Biológica de Galicia (CSIC), Pazo de Salcedo, Carballeira 8, 36143, Pontevedra, Spain.
S J McQueen-MasonDepartment of Biology, Centre for Novel Agricultural Products, CNAP, University of York, York, YO10 5DD, UK.
L FaasDepartment of Biology, Centre for Novel Agricultural Products, CNAP, University of York, York, YO10 5DD, UK.
L D GómezDepartment of Biology, Centre for Novel Agricultural Products, CNAP, University of York, York, YO10 5DD, UK.
P RevillaMisión Biológica de Galicia (CSIC), Pazo de Salcedo, Carballeira 8, 36143, Pontevedra, Spain.
D J Figueroa-GarridoFacultad de Biología, Departamento de Biología Vegetal y Ciencias del Suelo, Universidad de Vigo, As Lagoas Marcosende, 36310, Vigo, Spain.
R SantiagoFacultad de Biología, Departamento de Biología Vegetal y Ciencias del Suelo, Universidad de Vigo, As Lagoas Marcosende, 36310, Vigo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellulosic ethanol derived from fast growing C4 grasses could become an alternative to finite fossil fuels. With the potential to generate a major source of lignocellulosic biomass, maize has gained importance as an outstanding model plant for studying the complex cell wall network and also to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study (GWAS) was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multi-Parent Advanced Generation Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover. We identified 13 SNPs significantly associated with increased stover yield that corresponded to 13 QTL, and 2 SNPs significantly associated with improved saccharification efficiency, that could be clustered into 2 QTL. We have pointed out the most interesting SNPs to be implemented in breeding programs based on results from analyses of averaged and yearly data. Association mapping in this MAGIC population highlight genomic regions directly linked to traits that influence the final use of maize. Markers linked to these QTL could be used in genomic or marker-assisted selection programs to improve biomass quality for ethanol production. This study opens a possible optimisation path for improving the viability of second-generation biofuels.

Identifiers

PMID33564080
PMCPMC7873224

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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.