Evidence map›Paper›PMID 30092057›Full record

ArticlePloS one2018

Genome wide association mapping of agro-morphological traits among a diverse collection of finger millet (Eleusine coracana L.) genotypes using SNP markers.

Divya Sharma, Apoorv Tiwari, Salej Sood, Gautam Jamra, N K Singh, Prabina Kumar Meher, Anil Kumar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Genomic resources, opportunities, and prospects for accelerated improvement of millets.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
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  4. Finger millet: a hero in the making to combat food insecurity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  9. Improvement of millets in the post-genomic era.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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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

7 authors at 4 institutions in 1 country.

Divya SharmaDepartment of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Apoorv TiwariDepartment of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Salej SoodICAR-Vivekananda Institute of Hill Agriculture, Almora, Uttarakhand, India.
Gautam JamraDepartment of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India.
N K SinghDepartment of Genetics & Plant Breeding, College of Agriculture, G.B. Pant Univ. of Agriculture & Technology, Pantnagar, Uttarakhand, India.
Prabina Kumar MeherDivision of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Anil KumarDepartment of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India.ORCID 0000-0002-3174-5203
Govind Ballabh Pant University of Agriculture and Technology · INIndian Agricultural Statistics Research Institute · INSam Higginbottom Institute of Agriculture · INVivekananda Parvatiya Krishi Anusandhan Sansthan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finger millet (Eleusine coracana L.) is an important dry-land cereal in Asia and Africa because of its ability to provide assured harvest under extreme dry conditions and excellent nutritional properties. However, the genetic improvement of the crop is lacking in the absence of suitable genomic resources for reliable genotype-phenotype associations. Keeping this in view, a diverse global finger millet germplasm collection of 113 accessions was evaluated for 14 agro-morphological characters in two environments viz. ICAR-Vivekananda Institute of Hill Agriculture, Almora (E1) and Crop Research Centre (CRC), GBPUA&T, Pantnagar (E2), India. Principal component analysis and cluster analysis of phenotypic data separated the Indian and exotic accessions into two separate groups. Previously generated SNPs through genotyping by sequencing (GBS) were used for association mapping to identify reliable marker(s) linked to grain yield and its component traits. The marker trait associations were determined using single locus single trait (SLST), multi-locus mixed model (MLMM) and multi-trait mixed model (MTMM) approaches. SLST led to the identification of 20 marker-trait associations (MTAs) (p value<0.01 and <0.001) for 5 traits. While advanced models, MLMM and MTMM resulted in additional 36 and 53 MTAs, respectively. Nine MTAs were common out of total 109 associations in all the three mapping approaches (SLST, MLMM and MTMM). Among these nine SNPs, five SNP sequences showed homology to candidate genes of Oryza sativa (Rice) and Setaria italica (Foxtail millet), which play an important role in flowering, maturity and grain yield. In addition, 67 and 14 epistatic interactions were identified for 10 and 7 traits at E1 and E2 locations, respectively. Hence, the 109 novel SNPs associated with important agro-morphological traits, reported for the first time in this study could be precisely utilized in finger millet genetic improvement after validation.

Indexed as

Chromosome MappingPlant BreedingPolymorphism, Single NucleotideComputer SimulationEleusineEnvironmentGenome-Wide Association StudyGenotypeLinkage DisequilibriumModels, GeneticSpecies Specificity

Identifiers

PMID30092057
PMCPMC6084814
OpenAlexW2887319244

What OpenQuestion holds

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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.