Evidence map›Paper›PMID 34718944›Full record

ArticleJournal of applied genetics2022

Genetic diversity and population structure analysis for morphological traits in upland cotton (Gossypium hirsutum L.).

Pawan Kumar, Somveer Nimbal, Neeraj Budhlakoti, Varsha Singh, Rajvir Singh Sangwan

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Article in Journal of applied genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Pawan KumarDepartment of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, 125004, India.
Somveer NimbalDepartment of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, 125004, India. snimbal@hau.ac.in.
Neeraj BudhlakotiICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
Varsha SinghDepartment of Molecular Biology, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, 125004, Hisar, India.
Rajvir Singh SangwanDepartment of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, 125004, India.
Chaudhary Charan Singh Haryana Agricultural University · INIndian Agricultural Statistics Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 96 different genotypes of upland cotton (Gossypium hirsutum) were selected from the breeding material and germplasm available at CCS HAU, India, to find the novel marker-trait associations for morphological traits used for registration of variety in upland cotton. Twenty-three morphological traits of the selected genotypes were recorded in field trials conducted in two replication of randomized block design during Kharif 2018 and 2019. A total of 11 traits showed sufficient variations in the screened germplasm and the same were further used for association mapping. A total of 168 SSRs were used for genotyping, of which 97 SSRs showed polymorphism amplifying 293 different alleles with an average of 3.02 alleles per SSR. Clustering, principal component analysis, and population structure analysis advocated that the current germplasm panel has enough diversity to be considered for association mapping. A total of 20 significant marker-trait associations were identified by the mixed linear model (MLM) and compressed mixed linear model (CMLM), of which 15 were common to both models, hence considered as promising associations. To the best of our knowledge, it is a first attempt to identify the linked markers in relation to morphological traits for the cotton crop. Results of the present study will be highly useful in speeding up variety registration programmes of upland cotton complementing to Distinctiveness, Uniformity, and Stability (DUS) testing.

Indexed as

Cotton FiberGossypiumChromosome MappingPhenotypePolymorphism, GeneticCluster analysisCMLMG. hirsutumMLMMorphological traitsPCAPopulation structure

Identifiers

PMID34718944
OpenAlexW3208414956

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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.