Evidence map›Paper›PMID 16307229›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2006

Development of an integrated genetic map of a sugarcane (Saccharum spp.) commercial cross, based on a maximum-likelihood approach for estimation of linkage and linkage phases.

A A F Garcia, E A Kido, A N Meza, H M B Souza, L R Pinto, M M Pastina, C S Leite, J A G da Silva, E C Ulian, A Figueira and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Development of an Axiom Sugarcane100K SNP array for genetic map construction and QTL identification.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  5. Article
  6. Article
  7. The Challenge of Analyzing the Sugarcane Genome.Frontiers in plant science · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A mixed model QTL analysis for sugarcane multiple-harvest-location trial data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

A A F GarciaDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba-SP, Brazil. aafgarci@esalq.usp.br
E A Kido
A N Meza
H M B Souza
L R Pinto
M M Pastina
C S Leite
J A G da Silva
E C Ulian
A Figueira
A P Souza

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane (Saccharum spp.) is a clonally propagated outcrossing polyploid crop of great importance in tropical agriculture. Up to now, all sugarcane genetic maps had been developed using either full-sib progenies derived from interspecific crosses or from selfing, both approaches not directly adopted in conventional breeding. We have developed a single integrated genetic map using a population derived from a cross between two pre-commercial cultivars ('SP80-180' x 'SP80-4966') using a novel approach based on the simultaneous maximum-likelihood estimation of linkage and linkage phases method specially designed for outcrossing species. From a total of 1,118 single-dose markers (RFLP, SSR and AFLP) identified, 39% derived from a testcross configuration between the parents segregating in a 1:1 fashion, while 61% segregated 3:1, representing heterozygous markers in both parents with the same genotypes. The markers segregating 3:1 were used to establish linkage between the testcross markers. The final map comprised of 357 linked markers, including 57 RFLPs, 64 SSRs and 236 AFLPs that were assigned to 131 co-segregation groups, considering a LOD score of 5, and a recombination fraction of 37.5 cM with map distances estimated by Kosambi function. The co-segregation groups represented a total map length of 2,602.4 cM, with a marker density of 7.3 cM. When the same data were analyzed using JoinMap software, only 217 linked markers were assigned to 98 co-segregation groups, spanning 1,340 cM, with a marker density of 6.2 cM. The maximum-likelihood approach reduced the number of unlinked markers to 761 (68.0%), compared to 901 (80.5%) using JoinMap. All the co-segregation groups obtained using JoinMap were present in the map constructed based on the maximum-likelihood method. Differences on the marker order within the co-segregation groups were observed between the two maps. Based on RFLP and SSR markers, 42 of the 131 co-segregation groups were assembled into 12 putative homology groups. Overall, the simultaneous maximum-likelihood estimation of linkage and linkage phases was more efficient than the method used by JoinMap to generate an integrated genetic map of sugarcane.

Indexed as

Crosses, GeneticGenetic LinkageLikelihood FunctionsChromosome MappingChromosome SegregationGenetic MarkersPolymorphism, Restriction Fragment LengthSaccharumGenetic Markers

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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.