Evidence map›Paper›PMID 24524684›Full record

ArticleBMC genetics2014

Quantitative genetic parameters for yield, plant growth and cone chemical traits in hop (Humulus lupulus L.).

Erin L McAdam, René E Vaillancourt, Anthony Koutoulis, Simon P Whittock

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pre evaluation of cassava (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  5. Article
  6. 3D Molecular Cytology of Hop (Frontiers in plant science · 2018
    Article
  7. Genomic approaches to selection in outcrossing perennials: focus on essential oil crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Review
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.

Erin L McAdamSchool of Biological Sciences, University of Tasmania, Private Bag 55 Hobart, TAS 7001, Australia. Erin.Howard@utas.edu.au.
René E Vaillancourt
Anthony Koutoulis
Simon P Whittock

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost traits targeted in the genetic improvement of hop are quantitative in nature. Improvement based on selection of these traits requires a comprehensive understanding of their inheritance. This study estimated quantitative genetic parameters for 20 traits related to three key objectives for the genetic improvement of hop: cone chemistry, cone yield and agronomic characteristics.

resultsSignificant heritable genetic variation was identified for α-acid and β-acid, as well as their components and relative proportions. Estimates of narrow-sense heritability for these traits (h2 = 0.15 to 0.29) were lower than those reported in previous hop studies, but were based on a broader suite of families (108 from European, North American and hybrid origins). Narrow-sense heritabilities are reported for hop growth traits for the first time (h2 = 0.04 to 0.20), relating to important agronomic characteristics such as emergence, height and lateral morphology. Cone chemistry and growth traits were significantly genetically correlated, such that families with more vigorous vegetative growth were associated with lower α-acid and β-acid levels. This trend may reflect the underlying population structure of founder genotypes (European and North American origins) as well as past selection in the Australian environment. Although male and female hop plants are thought to be indistinguishable until flowering, sex was found to influence variation in many growth traits, with male and female plants displaying differences in vegetative morphology from emergence to cone maturity.

conclusionsThis study reveals important insights into the genetic control of quantitative hop traits. The information gained will provide hop breeders with a greater understanding of the additive genetic factors which affect selection of cone chemistry, yield and agronomic characteristics in hop, aiding in the future development of improved cultivars.

Indexed as

Quantitative Trait, HeritableBreedingCrops, AgriculturalGenetic VariationHumulusLikelihood FunctionsLinear ModelsModels, GeneticPhenotype

Identifiers

PMID24524684
PMCPMC3927220

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Registered trials

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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.