Evidence map›Paper›PMID 35456424›Full record

ArticleGenes2022

Population Structure Analysis and Association Mapping for Turcicum Leaf Blight Resistance in Tropical Maize Using SSR Markers.

Bhupender Kumar, Mukesh Choudhary, Pardeep Kumar, Krishan Kumar, Sonu Kumar, Brijesh Kumar Singh, Chayanika Lahkar, Meenakshi, Pushpendra Kumar, Zahoor Ahmed Dar and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.9field-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

5 citing papers in PubMed, 22 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

14 authors at 4 institutions in 1 country.

Bhupender KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Mukesh ChoudharyICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-2828-4829
Pardeep KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-3814-8177
Krishan KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-3474-6188
Sonu KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Brijesh Kumar SinghICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0002-6934-3007
Chayanika LahkarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
MeenakshiICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Pushpendra KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Zahoor Ahmed DarDryland Agriculture Research Station, SKUAST-K, Srinagar 190001, India.ORCID 0000-0001-7584-8477
Rakesh DevlashCSKHPKV, HAREC, Bajaura 175125, India.
Karambir Singh HoodaICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Satish Kumar GuleriaCSKHPKV, HAREC, Bajaura 175125, India.
Sujay RakshitICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
ICAR-Indian Institute of Maize Research · INChaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya · INNational Bureau of Plant Genetic Resources · INSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize is an important cereal crop in the world for feed, food, fodder, and raw materials of industries. Turcicum leaf blight (TLB) is a major foliar disease that can cause more than 50% yield losses in maize. Considering this, the molecular diversity, population structure, and genome-wide association study (GWAS) for TLB resistance were studied in 288 diverse inbred lines genotyped using 89 polymorphic simple sequence repeats (SSR) markers. These lines werescreened for TLB disease at two hot-spot locations under artificially inoculated conditions. The average percent disease incidence (PDI) calculated for each genotype ranged from 17 (UMI 1201) to 78% (IML 12-22) with an overall mean of 40%. The numbers of alleles detected at a locus ranged from twoto nine, with a total of 388 alleles. The polymorphic information content (PIC) of each marker ranged between 0.04 and 0.86. Out of 89 markers, 47 markers were highly polymorphic (PIC ≥ 0.60). This indicated that the SSR markers used were very informative and suitable for genetic diversity, population structure, and marker-trait association studies.The overall observed homozygosity for highly polymorphic markers was 0.98, which indicated that lines used were genetically pure. Neighbor-joining clustering, factorial analysis, and population structure studies clustered the 288 lines into 3-5 groups. The patterns of grouping were in agreement with the origin and pedigree records of the genotypesto a greater extent.A total of 94.10% lines were successfully assigned to one or another group at a membership probability of ≥0.60. An analysis of molecular variance (AMOVA) revealed highly significant differences among populations and within individuals. Linkage disequilibrium for r

Indexed as

Genome-Wide Association StudyZea maysGenetic VariationGenotypeLinkage Disequilibriumgeneral linear and mixed linear modelsgenetic diversitygenome-wide association studymaizepopulation structuresimple sequence repeatsturcicum leaf blight

Identifiers

PMID35456424
PMCPMC9030036
OpenAlexW4220737095

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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.