Evidence map›Paper›PMID 37457234›Full record

ArticleSaudi journal of biological sciences2023

Microsatellite marker-based genetic diversity assessment among exotic and native maize inbred lines of Bangladesh.

Md Amraul Islam, Md Shahidul Alam, Md Maniruzzaman, Muhammad Shahidul Haque

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-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

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

4 citing papers in PubMed, 8 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

4 authors at 3 institutions in 1 country.

Md Amraul IslamOn Farm Research Division, Bangladesh Agricultural Research Institute, Mymensingh 2200, Bangladesh.
Md Shahidul AlamOn Farm Research Division, Bangladesh Agricultural Research Institute, Bagura, Bangladesh.
Md ManiruzzamanBangladesh Wheat and Maize Research Institute (BWMRI), Dinajpur, Bangladesh.
Muhammad Shahidul HaqueDepartment of Biotechnology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Bangladesh Agricultural Research Institute · BDBangladesh Agricultural University · BDBangladesh Wheat and Maize Research Institute · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybrid development is basically dependent on the variability among available genetic resources. Polymorphism among the maize inbreds is essentially needed for maize hybridization. This study aimed at the assessment of diversity among 22 maize inbreds by 18 microsatellite markers. The study identified 187 alleles at 18 SSR loci. The amplified allele frequency per microsatellite locus was 10.4 and the highest allele per locus was 17 in SSR primer pair phi026. SSR primer set p-umc1292, phi074 and phi090 showed the lowest 6 alleles per genotype per locus. The locus phi026 showed the highest degree of gene diversity (0.92), and the locus p-umc1292 had the lowest of gene diversity (0.77) with a mean value of 0.862 among the microsatellites. At each site, the most prevalent allele varied between 0.14 (bnlg371) and 0.36. (p-umc1292). At any given locus, an average of 0.22 out of the 22 selected maize inbred lines had a common major allele. The average value of the polymorphic information content (PIC) was 0.85, within the range of 0.74 at the lowest to 0.92 at the highest. The higher PIC values of phi026 and nc013 established them to be the best markers for maize inbred lines. The UPGMA clustering generated seven distinct groups having 12.5% of similarity coefficient. The results revealed that inbred lines E10, E27, E19, E34, E35, E4, E43, E28, E11, E21, E17, E38, E25, E34, E14, E16, E39 and E3 were more diversified. These lines are promising to be used as parent materials for hybrid maize development in the future.

Indexed as

Genetic variabilityInbredsPolymorphismSSR markersZea mays

Identifiers

PMID37457234
PMCPMC10339176
OpenAlexW4381611463

What OpenQuestion holds

Textmetadata
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.