Evidence map›Paper›PMID 38528443›Full record

ArticleGenetics, selection, evolution : GSE2024

Estimation of genetic parameters for the implementation of selective breeding in commercial insect production.

Laura Skrubbeltrang Hansen, Stine Frey Laursen, Simon Bahrndorff, Morten Kargo, Jesper Givskov Sørensen, Goutam Sahana, Hanne Marie Nielsen, Torsten Nygaard Kristensen

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Functional gut microbiomes enhance performance in house fly larvae.Applied and environmental microbiology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. 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

8 authors at 2 institutions in 1 country.

Laura Skrubbeltrang HansenCenter for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000, Aarhus, Denmark. lsh@qgg.au.dk.ORCID http://orcid.org/0000-0002-4270-6365
Stine Frey LaursenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-7879-8660
Simon BahrndorffDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0838-4008
Morten KargoCenter for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-1981-2722
Jesper Givskov SørensenDepartment of Biology, Aarhus University, Ny Munkegade 116, 8000, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-9149-3626
Goutam SahanaCenter for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-7608-7577
Hanne Marie NielsenCenter for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-8001-5629
Torsten Nygaard KristensenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-6204-8753
Aarhus University · DKAalborg University · DK

Funding

Danmarks Frie Forskningsfond DFF-0136-00171BNovo Nordisk Fonden NNF21OC0070910
6 · The paper itself

Abstract

backgroundThere is a burgeoning interest in using insects as a sustainable source of food and feed, particularly by capitalising on various waste materials and by-products that are typically considered of low value. Enhancing the commercial production of insects can be achieved through two main approaches: optimising environmental conditions and implementing selective breeding strategies. In order to successfully target desirable traits through selective breeding, having a thorough understanding of the genetic parameters pertaining to those traits is essential. In this study, a full-sib half-sib mating design was used to estimate variance components and heritabilities for larval size and survival at day seven of development, development time and survival from egg to adult, and to estimate correlations between these traits, within an outbred population of house flies (Musca domestica), using high-throughput phenotyping for data collection.

resultsThe results revealed low to intermediate heritabilities and positive genetic correlations between all traits except development time and survival to day seven of development and from egg to adulthood. Surprisingly, larval size at day seven exhibited a comparatively low heritability (0.10) in contrast to development time (0.25), a trait that is believed to have a stronger association with overall fitness. A decline in family numbers resulting from low mating success and high overall mortality reduced the amount of available data which resulted in large standard errors for the estimated parameters. Environmental factors made a substantial contribution to the phenotypic variation, which was overall high for all traits.

conclusionsThere is potential for genetic improvement in all studied traits and estimates of genetic correlations indicate a partly shared genetic architecture among the traits. All estimates have large standard errors. Implementing high-throughput phenotyping is imperative for the estimation of genetic parameters in fast developing insects, and facilitates age synchronisation, which is vital in a breeding population. In spite of endeavours to minimise non-genetic sources of variation, all traits demonstrated substantial influences from environmental components. This emphasises the necessity of thorough attention to the experimental design before breeding is initiated in insect populations.

Indexed as

Quantitative Trait, HeritableSelective BreedingAnimalsGenotypeInsectaPhenotype

Identifiers

PMID38528443
PMCPMC10962107
OpenAlexW4393149902

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.