Evidence map›Paper›PMID 35505891›Full record

ArticleEvolutionary applications2022

Evaluating new species for aquaculture: A genomic dissection of growth in the New Zealand silver trevally (

Noemie Valenza-Troubat, Elena Hilario, Sara Montanari, Peter Morrison-Whittle, David Ashton, Peter Ritchie, Maren Wellenreuther

Abstract read
In one paragraph

Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Computer vision in aquaculture: a case study of juvenile fish counting.Journal of the Royal Society of New Zealand · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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.

Noemie Valenza-TroubatThe New Zealand Institute for Plant and Food Research Limited Nelson New Zealand.ORCID https://orcid.org/0000-0003-2479-2009
Elena HilarioThe New Zealand Institute for Plant and Food Research Limited Auckland New Zealand.
Sara MontanariThe New Zealand Institute for Plant and Food Research Limited Motueka New Zealand.
Peter Morrison-WhittleThe New Zealand Institute for Plant and Food Research Limited Nelson New Zealand.
David AshtonThe New Zealand Institute for Plant and Food Research Limited Nelson New Zealand.
Peter RitchieSchool of Biological Sciences Victoria University of Wellington Wellington New Zealand.
Maren WellenreutherThe New Zealand Institute for Plant and Food Research Limited Nelson New Zealand.ORCID https://orcid.org/0000-0002-2764-8291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaculture is the fastest-growing food production sector worldwide, yet industry has been slow to implement genomic techniques as routine tools. Applying genomics to new breeding programmes can provide important information about pedigree structure and genetic diversity; key parameters for a successful long-term breeding programme. It can also provide insights on potential gains for commercially important, yet complex, quantitative traits such as growth rate. Here we investigated a population of 1100 captive-bred F

Indexed as

aquacultureCarangidaegenetic diversitygrowth traitsheritability

Identifiers

PMID35505891
PMCPMC9046765

What OpenQuestion holds

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LicenceCC BY
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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.