Evidence map›Paper›PMID 22801872›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

Quality control genotyping for assessment of genetic identity and purity in diverse tropical maize inbred lines.

Kassa Semagn, Yoseph Beyene, Dan Makumbi, Stephen Mugo, B M Prasanna, Cosmos Magorokosho, Gary Atlin

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

30 citing papers in PubMed.

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  17. Review
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  20. Development of species diagnostic SNP markers for quality control genotyping in four rice (Molecular breeding : new strategies in plant improvement · 2018
    Article
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

7 authors.

Kassa SemagnInternational Maize and Wheat Improvement Center (CIMMYT), Village Market, P.O. Box 1041, Nairobi, 00621, Kenya. k.semagn@cgiar.org
Yoseph Beyene
Dan Makumbi
Stephen Mugo
B M Prasanna
Cosmos Magorokosho
Gary Atlin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality control (QC) genotyping is an important component in breeding, but to our knowledge there are not well established protocols for its implementation in practical breeding programs. The objectives of our study were to (a) ascertain genetic identity among 2-4 seed sources of the same inbred line, (b) evaluate the extent of genetic homogeneity within inbred lines, and (c) identify a subset of highly informative single-nucleotide polymorphism (SNP) markers for routine and low-cost QC genotyping and suggest guidelines for data interpretation. We used a total of 28 maize inbred lines to study genetic identity among different seed sources by genotyping them with 532 and 1,065 SNPs using the KASPar and GoldenGate platforms, respectively. An additional set of 544 inbred lines was used for studying genetic homogeneity. The proportion of alleles that differed between seed sources of the same inbred line varied from 0.1 to 42.3 %. Seed sources exhibiting high levels of genetic distance are mis-labeled, while those with lower levels of difference are contaminated or still segregating. Genetic homogeneity varied from 68.7 to 100 % with 71.3 % of the inbred lines considered to be homogenous. Based on the data sets obtained for a wide range of sample sizes and diverse genetic backgrounds, we recommended a subset of 50-100 SNPs for routine and low-cost QC genotyping, verified them in a different set of double haploid and inbred lines, and outlined a protocol that could be used to minimize errors in genetic analyses and breeding.

Indexed as

InbreedingTropical ClimateAllelesGenetic HeterogeneityGenetic LociGenotypeGenotyping TechniquesHaploidyPhylogenyPolymorphism, Single NucleotideQuality ControlSelection, GeneticZea mays

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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.