Evidence map›Paper›PMID 18651127›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2008

Multi-trait association mapping in sugar beet (Beta vulgaris L.).

Benjamin Stich, Hans-Peter Piepho, Britta Schulz, Albrecht E Melchinger

Abstract read
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Article
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  10. Association mapping of seed quality traits using the Canadian flax (Linum usitatissimum L.) core collection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  11. Genetic diversity and linkage disequilibrium analysis in elite sugar beet breeding lines and wild beet accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  12. Identification of agronomically important QTL in tetraploid potato cultivars using a marker-trait association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  13. Article
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  19. Accuracy of multi-trait genomic selection using different methods.Genetics, selection, evolution : GSE · 2011
    Article
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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.

Benjamin StichInstitute for Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593 Stuttgart, Germany. stich@uni-hohenheim.de
Hans-Peter Piepho
Britta Schulz
Albrecht E Melchinger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association mapping promises to overcome the limitations of linkage mapping methods. The main objective of this study was to examine the applicability of multivariate association mapping with an empirical data set of sugar beet. A total of 111 diploid sugar beet inbreds was selected from the seed parent heterotic pool to represent a broad diversity with respect to sugar content (SC). The inbreds were genotyped with 26 simple sequence repeat markers chosen according to their map positions in proximity to previously identified quantitative trait loci for SC. For SC and beet yield (BY), the genotypic variances were highly significant (P < 0.01). Based on the global test of the bivariate mixed-model approach, four markers were significantly associated with SC, BY, or both at a false discovery rate of 0.025. All four markers were significantly (P < 0.05) associated with BY but only two with SC. The identification of markers associated with SC, BY, or both indicated that association mapping can be successfully applied in a sugar beet breeding context for detection of marker-phenotype associations. Furthermore, based on our results multivariate association mapping can be recommended as a promising tool to discriminate with a high mapping resolution between pleiotropy and linkage as reasons for co-localization of marker-phenotype associations for different traits.

Indexed as

Beta vulgarisBreedingCarbohydrate MetabolismChromosome MappingDiploidyDNA, PlantGenome, PlantGenome-Wide Association StudyMinisatellite RepeatsPhenotypeQuantitative Trait LociDNA, Plant

Identifiers

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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.