Evidence map›Paper›PMID 22159754›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

A mixed model QTL analysis for sugarcane multiple-harvest-location trial data.

M M Pastina, M Malosetti, R Gazaffi, M Mollinari, G R A Margarido, K M Oliveira, L R Pinto, A P Souza, F A van Eeuwijk, A A F Garcia

Open access · hybridAbstract read
In one paragraph

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Leveraging probability concepts for cultivar recommendation in multi-environment trials.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  8. Review
  9. 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
  10. Article
  11. Article
  12. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. MicroRNAs and drought responses in sugarcane.Frontiers in plant science · 2015
    Review
  20. 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

10 authors at 4 institutions in 2 countries.

M M PastinaDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, SP, Brazil.
M Malosetti
R Gazaffi
M Mollinari
G R A Margarido
K M Oliveira
L R Pinto
A P Souza
F A van Eeuwijk
A A F Garcia
Universidade de São Paulo · BRWageningen University & Research · NLSugarcane Research Center (Brazil) · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane-breeding programs take at least 12 years to develop new commercial cultivars. Molecular markers offer a possibility to study the genetic architecture of quantitative traits in sugarcane, and they may be used in marker-assisted selection to speed up artificial selection. Although the performance of sugarcane progenies in breeding programs are commonly evaluated across a range of locations and harvest years, many of the QTL detection methods ignore two- and three-way interactions between QTL, harvest, and location. In this work, a strategy for QTL detection in multi-harvest-location trial data, based on interval mapping and mixed models, is proposed and applied to map QTL effects on a segregating progeny from a biparental cross of pre-commercial Brazilian cultivars, evaluated at two locations and three consecutive harvest years for cane yield (tonnes per hectare), sugar yield (tonnes per hectare), fiber percent, and sucrose content. In the mixed model, we have included appropriate (co)variance structures for modeling heterogeneity and correlation of genetic effects and non-genetic residual effects. Forty-six QTLs were found: 13 QTLs for cane yield, 14 for sugar yield, 11 for fiber percent, and 8 for sucrose content. In addition, QTL by harvest, QTL by location, and QTL by harvest by location interaction effects were significant for all evaluated traits (30 QTLs showed some interaction, and 16 none). Our results contribute to a better understanding of the genetic architecture of complex traits related to biomass production and sucrose content in sugarcane.

Indexed as

Models, GeneticPhenotypeBrazilBreedingChromosome MappingCrosses, GeneticQuantitative Trait LociSaccharumSucroseTime FactorsSucrose

Identifiers

PMID22159754
PMCPMC3284670
OpenAlexW2168368131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.