Evidence map›Paper›PMID 25061822›Full record

ArticlePloS one2014

Quantitative trait loci for thermal time to flowering and photoperiod responsiveness discovered in summer annual-type Brassica napus L.

Matthew N Nelson, Ravikesavan Rajasekaran, Alison Smith, Sheng Chen, Cameron P Beeck, Kadambot H M Siddique, Wallace A Cowling

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. QTL mapping of flowering time inFrontiers in plant science · 2025
    Article
  3. Article
  4. CRISPR/Cas9-Mediated Targeted Mutagenesis ofInternational journal of molecular sciences · 2022
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  9. Review
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  18. Article
  19. Genome-wide association study reveals the genetic architecture of flowering time in rapeseed (Brassica napus L.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  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

7 authors.

Matthew N NelsonSchool of Plant Biology, The University of Western Australia, Crawley, Australia; The UWA Institute of Agriculture, The University of Western Australia, Crawley, Australia.
Ravikesavan RajasekaranCentre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, India.
Alison SmithNational Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, Australia.
Sheng ChenSchool of Plant Biology, The University of Western Australia, Crawley, Australia; The UWA Institute of Agriculture, The University of Western Australia, Crawley, Australia.
Cameron P BeeckSchool of Plant Biology, The University of Western Australia, Crawley, Australia.
Kadambot H M SiddiqueThe UWA Institute of Agriculture, The University of Western Australia, Crawley, Australia.
Wallace A CowlingThe UWA Institute of Agriculture, The University of Western Australia, Crawley, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time of flowering is a key adaptive trait in plants and is conditioned by the interaction of genes and environmental cues including length of photoperiod, ambient temperature and vernalisation. Here we investigated the photoperiod responsiveness of summer annual-types of Brassica napus (rapeseed, canola). A population of 131 doubled haploid lines derived from a cross between European and Australian parents was evaluated for days to flowering, thermal time to flowering (measured in degree-days) and the number of leaf nodes at flowering in a compact and efficient glasshouse-based experiment with replicated short and long day treatments. All three traits were under strong genetic control with heritability estimates ranging from 0.85-0.93. There was a very strong photoperiod effect with flowering in the population accelerated by 765 degree-days in the long day versus short day treatments. However, there was a strong genetic correlation of line effects (0.91) between the long and short day treatments and relatively low genotype x treatment interaction indicating that photoperiod had a similar effect across the population. Bivariate analysis of thermal time to flowering in short and long days revealed three main effect quantitative trait loci (QTLs) that accounted for 57.7% of the variation in the population and no significant interaction QTLs. These results provided insight into the contrasting adaptations of Australian and European varieties. Both parents responded to photoperiod and their alleles shifted the population to earlier flowering under long days. In addition, segregation of QTLs in the population caused wide transgressive segregation in thermal time to flowering. Potential candidate flowering time homologues located near QTLs were identified with the aid of the Brassica rapa reference genome sequence. We discuss how these results will help to guide the breeding of summer annual types of B. napus adapted to new and changing environments.

Indexed as

Gene-Environment InteractionAllelesAustraliaBrassica napusChromosome MappingFlowersGenotypePhotoperiodQuantitative Trait LociSeasons

Identifiers

PMID25061822
PMCPMC4111298

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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.