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The Genetic Architecture Of Maize Height

Overview of attention for article published in Genetics, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 news outlet
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7 X users
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30 patents
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1 Facebook page

Readers on

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522 Mendeley
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1 CiteULike
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Article details
Title
The Genetic Architecture Of Maize Height
Published in
Genetics, April 2014
DOI 10.1534/genetics.113.159152
Pubmed ID
Authors
Abstract

Height is one of the most heritable and easily measured traits in maize (Zea mays L.). Given a pedigree or estimates of the genomic identity-by-state among related plants, height is also accurately predictable. But, mapping alleles explaining natural variation in maize height remains a formidable challenge. To address this challenge, we measured the plant height, ear height, flowering time, and node counts of plants grown in >64,500 plots across 13 environments. These plots contained >7300 inbreds representing most publically available maize inbreds in the United States and families of the maize Nested Association Mapping (NAM) panel. Joint-linkage mapping of quantitative trait loci (QTL), fine mapping in near isogenic lines (NILs), genome-wide association studies (GWAS), and genomic best linear unbiased prediction (GBLUP) were performed. The heritability of maize height was estimated to be >90%. Mapping NAM family-nested QTL revealed the largest explained 2.1 ± 0.9% of height variation. The effects of two tropical alleles at this QTL were independently validated by fine mapping in NIL families. Several significant associations found by GWAS colocalized with established height loci, including brassinosteroid-deficient dwarf1, dwarf plant1, and semi-dwarf2. GBLUP explained >80% of height variation in the panels and outperformed bootstrap aggregation of family-nested QTL models in evaluations of prediction accuracy. These results revealed maize height was under strong genetic control and had a highly polygenic genetic architecture. They also showed that multiple models of genetic architecture differing in polygenicity and effect sizes can plausibly explain a population's variation in maize height, but they may vary in predictive efficacy.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 522 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 1%
Mexico 3 <1%
Brazil 3 <1%
Nigeria 2 <1%
New Zealand 1 <1%
Netherlands 1 <1%
Italy 1 <1%
India 1 <1%
Israel 1 <1%
Other 4 <1%
Unknown 498 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 122 23%
Researcher 100 19%
Student > Master 57 11%
Student > Doctoral Student 35 7%
Professor 24 5%
Other 81 16%
Unknown 103 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 337 65%
Biochemistry, Genetics and Molecular Biology 45 9%
Environmental Science 6 1%
Engineering 4 <1%
Psychology 3 <1%
Other 17 3%
Unknown 110 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2026.
All research outputs
#2,221,461
of 30,457,780 outputs
Outputs from Genetics
#551
of 8,178 outputs
Outputs of similar age
#19,022
of 250,623 outputs
Outputs of similar age from Genetics
#13
of 71 outputs
Altmetric has tracked 30,457,780 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,178 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,623 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.