Evidence map›Paper›PMID 25526782›Full record

ArticleBMC genetics2014

Genetic variation, heritability and genotype by environment interaction of morphological traits in a tetraploid rose population.

Virginia W Gitonga, Carole F S Koning-Boucoiran, Kathryn Verlinden, Oene Dolstra, Richard G F Visser, Chris Maliepaard, Frans A Krens

Abstract read
In one paragraph

Article in BMC genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  13. Genetic determinism of prickles in rose.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  14. Article
  15. Article
  16. Multi-environment QTL analysis of plant and flower morphological traits in tetraploid rose.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  17. 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.

Virginia W GitongaWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. V.Gitonga@DNAGreenGroup.com.
Carole F S Koning-BoucoiranWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Carole.Boucoiran@wur.nl.
Kathryn VerlindenWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Kathryn.Verlinden@syngenta.com.
Oene DolstraWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Oene.Dolstra@wur.nl.
Richard G F VisserWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Richard.Visser@wur.nl.
Chris MaliepaardWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Chris.Maliepaard@wur.nl.
Frans A KrensWageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, the Netherlands. Frans.Krens@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal trade has ensured that the ornamental horticulture continues to grow worldwide, with rose hybrids being the most economically important genus (Rosa x hybrida). Due to changes in global trade and an increase in energy costs the ornamental industry has seen a shift in the production and sale of flowers from the US and Europe alone to production in Africa and Latin America. As Kenya is a major exporter of roses to Europe we studied the genetic variation and heritability of specific morphological traits in a tetraploid population grown in the Netherlands and in Kenya. The aim was to estimate genotype by environment interaction (G × E) and to investigate the implications of (G × E) for rose breeding.

resultsA tetraploid rose population (K5) from a cross between two tetraploid parents was field tested over two seasons in the Netherlands (summer and winter) and two locations in Kenya (Nairobi and Njoro). Ten traits were compared per genotype across the four environments. There were differences in trait association across the four environments showing that the traits were partially influenced by the environment. The traits that had a low ratio of σ(2) ge/σ(2) g also showed a high value for heritability. For the traits number of petals, prickles on petioles, prickles on stems the interaction is minimal. For the traits chlorophyll content, stem width and side shoots we observed a much higher interaction ratio of 0.83, 1.43 and 3.13 respectively. The trait number of petals had the highest heritability of 0.96 and the lowest σ(2) ge/σ(2) g ratio (0.08). The trait number of side shoots (SS) with the lowest heritability (0.40) also had the highest σ(2) ge/σ(2) g ratio of 3.13.

conclusionAttained by this experiment showed that we have different magnitudes of non-crossover G × E interactions. For the traits number of petals, prickles on stems and prickles on petioles with a low interaction and high heritability, selection can be done at any of the environments. Thus, these traits can be confirmed at the breeding site. For the traits stem width, side shoots and chlorophyll content that had a higher interaction selection for or against these traits should be done at the production location or at least be verified there.

Indexed as

FlowersGene-Environment InteractionGenes, PlantGenetic Association StudiesGenotypePlant StemsRosaTetraploidy

Identifiers

PMID25526782
PMCPMC4293809

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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.