Evidence map›Paper›PMID 34388196›Full record

ArticlePloS one2021

Comparative evolution of vegetative branching in sorghum.

WenQian Kong, Pheonah Nabukalu, T Stan Cox, Valorie Goff, Jon S Robertson, Gary Pierce, Cornelia Lemke, Rosana Compton, Jaxk Reeves, Andrew H Paterson

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

WenQian KongPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0002-4540-6165
Pheonah NabukaluThe Land Institute, Salina, Kansas, United States of America.
T Stan CoxThe Land Institute, Salina, Kansas, United States of America.
Valorie GoffPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Jon S RobertsonPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Gary PiercePlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Cornelia LemkePlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Rosana ComptonPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
Jaxk ReevesDepartment of Statistics, University of Georgia, Athens, Georgia, United States of America.
Andrew H PatersonPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, United States of America.
University of Georgia · USThe Land Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tillering and secondary branching are two plastic traits with high agronomic importance, especially in terms of the ability of plants to adapt to changing environments. We describe a quantitative trait analysis of tillering and secondary branching in two novel BC1F2 populations totaling 246 genotypes derived from backcrossing two Sorghum bicolor x S. halepense F1 plants to a tetraploidized S. bicolor. A two-year, two-environment phenotypic evaluation in Bogart, GA and Salina, KS permitted us to identify major effect and environment specific QTLs. Significant correlation between tillering and secondary branching followed by discovery of overlapping sets of QTLs continue to support the developmental relationship between these two organs and suggest the possibility of pleiotropy. Comparisons with two other populations sharing S. bicolor BTx623 as a common parent but sampling the breadth of the Sorghum genus, increase confidence in QTL detected for these two plastic traits and provide insight into the evolution of morphological diversity in the Eusorghum clade. Correspondence between flowering time and vegetative branching supports other evidence in suggesting a pleiotropic effect of flowering genes. We propose a model to predict biomass weight from plant architecture related traits, quantifying contribution of each trait to biomass and providing guidance for future breeding experiments.

Indexed as

Quantitative Trait LociSorghumBiological EvolutionBiomassFlowersGenotypePhenotype

Identifiers

PMID34388196
PMCPMC8362987
OpenAlexW3189631079

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.