Evidence map›Paper›PMID 27317774›Full record

ArticleG3 (Bethesda, Md.)2016

Genetic Analysis of Kernel Traits in Maize-Teosinte Introgression Populations.

Zhengbin Liu, Arturo Garcia, Michael D McMullen, Sherry A Flint-Garcia

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Plants (Basel, Switzerland) · 2024
    Article
  4. Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Fine mapping of a kernel length-related gene with potential value for maize breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Zhengbin LiuDivision of Plant Sciences, University of Missouri, Columbia, Missouri 65211.
Arturo GarciaU.S. Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211.
Michael D McMullenDivision of Plant Sciences, University of Missouri, Columbia, Missouri 65211 U.S. Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211.
Sherry A Flint-GarciaDivision of Plant Sciences, University of Missouri, Columbia, Missouri 65211 U.S. Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211 Sherry.Flint-Garcia@ars.usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed traits have been targeted by human selection during the domestication of crop species as a way to increase the caloric and nutritional content of food during the transition from hunter-gather to early farming societies. The primary seed trait under selection was likely seed size/weight as it is most directly related to overall grain yield. Additional seed traits involved in seed shape may have also contributed to larger grain. Maize (Zea mays ssp. mays) kernel weight has increased more than 10-fold in the 9000 years since domestication from its wild ancestor, teosinte (Z. mays ssp. parviglumis). In order to study how size and shape affect kernel weight, we analyzed kernel morphometric traits in a set of 10 maize-teosinte introgression populations using digital imaging software. We identified quantitative trait loci (QTL) for kernel area and length with moderate allelic effects that colocalize with kernel weight QTL. Several genomic regions with strong effects during maize domestication were detected, and a genetic framework for kernel traits was characterized by complex pleiotropic interactions. Our results both confirm prior reports of kernel domestication loci and identify previously uncharacterized QTL with a range of allelic effects, enabling future research into the genetic basis of these traits.

Indexed as

Quantitative Trait LociAllelesChromosome MappingImage Processing, Computer-AssistedPhenotypePrincipal Component AnalysisSeedsZea maysdomesticationintrogression populationkernel size and shapekernel weightMPPMultiparent Advanced Generation Inter-Cross (MAGIC)multiparental populationsquantitative trait loci (QTL)

Identifiers

PMID27317774
PMCPMC4978905

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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.