Evidence map›Paper›PMID 37159650›Full record

ArticlePlant molecular biology reporter2023

Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs.

Stella Bigirwa Ayesiga, Patrick Rubaihayo, Bonny Michael Oloka, Isaac Onziga Dramadri, Richard Edema, Julius Pyton Sserumaga

Abstract read
In one paragraph

Article in Plant molecular biology reporter, 2023. 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
–field-weighted citation impact
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

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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.

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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

6 authors.

Stella Bigirwa AyesigaDepartment of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda.ORCID 0000-0003-2730-3792
Patrick RubaihayoDepartment of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda.
Bonny Michael OlokaNational Crops Resources Research Institute, National Agricultural Research Organization, P.O. Box 7084, Kampala, Uganda.
Isaac Onziga DramadriDepartment of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda.
Richard EdemaDepartment of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda.
Julius Pyton SserumagaNational Livestock Resources Research Institute, National Agricultural Research Organization, P.O. Box 5704, Kampala, Uganda.ORCID 0000-0001-5152-2835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of molecular markers allows for precise estimates of genetic diversity, which is an important parameter that enables breeders to select parental lines and designing breeding systems. We assessed the level of genetic diversity and population structure in a panel of 151 tropical maize inbred lines using 10,940 SNP (single nucleotide polymorphism) markers generated through the DArTseq genotyping platform. The average gene diversity was 0.39 with expected heterozygosity ranging from 0.00 to 0.84, and a mean of 0.02. Analysis of molecular variance showed that 97% of allelic diversity was attributed to individual inbred lines within the populations while only 3% was distributed among the populations. Both neighbor-joining clustering and STRUCTURE analysis classified the inbred lines into four major groups. The crosses that involve inbred lines from most divergent subgroups are expected to generate maximum heterosis and produce wide variation. The results will be beneficial for breeders to better understand and exploit the genetic diversity available in the set of maize inbred lines we studied. Supplementary Information: The online version contains supplementary material available at 10.1007/s11105-022-01358-2.

Indexed as

Genetic diversityMaize inbred linesPopulation structureSNP markers

Identifiers

PMID37159650
PMCPMC10160135

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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.