Evidence map›Paper›PMID 35505887›Full record

ReviewEvolutionary applications2022

Genomics applied to livestock and aquaculture breeding.

José M Yáñez, Peng Xu, Roberto Carvalheiro, Ben Hayes

Abstract readReview
In one paragraph

Review in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. 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.

José M YáñezFacultad de Ciencias Veterinarias y Pecuarias Universidad de Chile Santiago Chile.ORCID https://orcid.org/0000-0002-6612-4087
Peng XuFujian Key Laboratory of Genetics and Breeding of Marine Organisms College of Ocean and Earth Sciences Xiamen University Xiamen China.ORCID https://orcid.org/0000-0002-1531-5078
Roberto CarvalheiroDepartamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias UNESP - Univ Estadual Paulista Jaboticabal Brazil.ORCID https://orcid.org/0000-0002-4506-0555
Ben HayesCentre for Animal Science Queensland Alliance for Agriculture and Food Innovation The University of Queensland Brisbane Qld Australia.ORCID https://orcid.org/0000-0002-5606-3970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing global demand for food, due to the continuous growth of human population, requires improvements in the efficiency and sustainability of animal production systems. In addition, several challenges facing farming of aquatic and terrestrial organisms need to be overcome to ensure food security in the upcoming decades, e.g. adaptation to climate change, reduced availability of conventional animal feed ingredients, emerging infectious and parasitic diseases, among others. Genomic technologies such as massive parallel sequencing, high-throughput genotyping, genome selection and gene editing, combined with highly efficient computational methods can accelerate the rate of genetic progress in animal breeding. Thus, such technologies can help us meet the needs for protein sources for human consumption in the upcoming years. This Special Issue aims at presenting current advancements in the field of genomic tools applied to aquatic and terrestrial farmed animal populations.

Indexed as

aquaculturegenomicslivestockselective breeding

Identifiers

PMID35505887
PMCPMC9046759

What Socratic 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 Socratic graph.