Evidence map›Paper›PMID 19760215›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2009

Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection.

Ming L Wang, Chengsong Zhu, Noelle A Barkley, Zhenbang Chen, John E Erpelding, Seth C Murray, Mitchell R Tuinstra, Tesfaye Tesso, Gary A Pederson, Jianming Yu

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  9. Sorghum breeding in the genomic era: opportunities and challenges.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
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  19. Article
  20. Effect of Harvesting Stage on Sweet Sorghum (TheScientificWorldJournal · 2017
    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

10 authors.

Ming L WangUSDA-ARS, PGRCU, Griffin, GA 30223, USA. mingli.wang@ars.usda.gov
Chengsong Zhu
Noelle A Barkley
Zhenbang Chen
John E Erpelding
Seth C Murray
Mitchell R Tuinstra
Tesfaye Tesso
Gary A Pederson
Jianming Yu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweet sorghum has the potential to become a versatile feedstock for large-scale bioenergy production given its sugar from stem juice, cellulose/hemicellulose from stalks, and starch from grain. However, for researchers to maximize its feedstock potential a first step includes additional evaluations of the 2,180 accessions with varied origins in the US historic sweet sorghum collection. To assess genetic diversity of this collection for bioenergy breeding and population structure for association mapping, we selected 96 accessions and genotyped them with 95 simple sequence repeat markers. Subsequent genetic diversity and population structure analysis methods identified four subpopulations in this panel, which correlated well with the geographic locations where these accessions originated or were collected. Model comparisons for three quantitative traits revealed different levels of population structure effects on flowering time, plant height, and brix. Our results suggest that diverse germplasm accessions curated from different geographical regions should be considered for plant breeding programs to develop sweet sorghum cultivars or hybrids, and that this sweet sorghum panel can be further explored for association mapping.

Indexed as

Genetics, PopulationGenetic VariationBiofuelsCrops, AgriculturalCrosses, GeneticDNA, PlantGenetic MarkersGenotypeHumansModels, GeneticRepetitive Sequences, Nucleic AcidSorghumUnited StatesBiofuelsDNA, PlantGenetic Markers

Identifiers

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Registered trials

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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.