Evidence map›Paper›PMID 35336681›Full record

ArticlePlants (Basel, Switzerland)2022

Genetic Diversity, Population Structure and Linkage Disequilibrium Analyses in Tropical Maize Using Genotyping by Sequencing.

Bhupender Kumar, Sujay Rakshit, Sonu Kumar, Brijesh Kumar Singh, Chayanika Lahkar, Abhishek Kumar Jha, Krishan Kumar, Pardeep Kumar, Mukesh Choudhary, Shyam Bir Singh and 6 more

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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

16 authors at 7 institutions in 1 country.

Bhupender KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Sujay RakshitICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Sonu KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Brijesh Kumar SinghICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Chayanika LahkarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Abhishek Kumar JhaICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Krishan KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-3474-6188
Pardeep KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-3814-8177
Mukesh ChoudharyICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-2828-4829
Shyam Bir SinghICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
John J AmalrajCentre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore 641003, India.
Bhukya PrakashICAR-Directorate of Poultry Research, Hyderabad 500030, India.
Rajesh KhulbeDepartment of Crop Imrovement, ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora 263601, India.
Mehar Chand KambojDepartment of Plant Breeding, CCS-Haryana Agricultural University, Regional Research Station, Uchani 132001, India.
Neeraja N ChirravuriDepartment of Crop Improvement, ICAR-Indian Institute of Rice Research, Hyderabad 500030, India.ORCID 0000-0002-2418-986X
Firoz HossainDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
ICAR-Indian Institute of Maize Research · INChaudhary Charan Singh Haryana Agricultural University · INDirectorate of Poultry Research · INIndian Agricultural Research Institute · INIndian Institute of Rice Research · INTamil Nadu Agricultural University · INVivekananda Parvatiya Krishi Anusandhan Sansthan · IN

Funding

ICAR and SERB ECR-2017-002638
6 · The paper itself

Abstract

Several maize breeding programs in India have developed numerous inbred lines but the lines have not been characterized using high-density molecular markers. Here, we studied the molecular diversity, population structure, and linkage disequilibrium (LD) patterns in a panel of 314 tropical normal corn, two sweet corn, and six popcorn inbred lines developed by 17 research centers in India, and 62 normal corn from the International Maize and Wheat Improvement Center (CIMMYT). The 384 inbred lines were genotyped with 60,227 polymorphic single nucleotide polymorphisms (SNPs). Most of the pair-wise relative kinship coefficients (58.5%) were equal or close to 0, which suggests the lack of redundancy in the genomic composition in the majority of inbred lines. Genetic distance among most pairs of lines (98.3%) varied from 0.20 to 0.34 as compared with just 1.7% of the pairs of lines that differed by <0.20, which suggests greater genetic variation even among sister lines. The overall average of 17% heterogeneity was observed in the panel indicated the need for further inbreeding in the high heterogeneous genotypes. The mean nucleotide diversity and frequency of polymorphic sites observed in the panel were 0.28 and 0.02, respectively. The model-based population structure, principal component analysis, and phylogenetic analysis revealed three to six groups with no clear patterns of clustering by centers-wise breeding lines, types of corn, kernel characteristics, maturity, plant height, and ear placement. However, genotypes were grouped partially based on their source germplasm from where they derived.

Indexed as

genetic puritygenotyping-by-sequencinghaplotypes blockslinkage disequilibriumpopulation structuretropical maize

Identifiers

PMID35336681
PMCPMC8955159
OpenAlexW4220685267

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LicenceCC BY
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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.