Special Issue "Genomic Selection for Quantitative Traits in Animals"

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".

Deadline for manuscript submissions: 31 August 2022.

Special Issue Editor

Dr. Shogo Tsuruta
E-Mail Website
Guest Editor
Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA
Interests: genomic selection; quantitative traits; genetic parameters; breeding values; genomic predictions; genetic gain

Special Issue Information

Since genomic selection started in 2009 in the US for dairy cattle, millions of animals have been genotyped. When genetic evaluation started with BLUP, genetic improvement was accelerated as accuracy in EBV increased. Now in the genomic era, because of the capacity to utilize SNP marker information as genotypes, more efficient genomic selection became possible. The genetic gain will increase significantly more, as accuracy in genomic EBV is higher using genomic relationships among animals, selection intensity is larger with more genotyped animals, and the generation interval is reduced by genotyping at younger age. In the future, genotyping embryos for many generations in a short period of time using germ cells from embryonic stem cells before having phenotypes will be possible. As a result, the genetic gain will be enormous. Genomic selection has such huge potential. Studies on genomic selection for quantitative traits will be more exciting and important than ever. Any research on genomic selection including theory, practical application, and biological aspects will be welcomed.

Dr. Shogo Tsuruta
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Genomic selection
  • quantitative traits
  • genetic parameters
  • breeding values
  • genomic predictions
  • genetic gain

Published Papers (1 paper)

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Research

Article
Application of Genomic Data for Reliability Improvement of Pig Breeding Value Estimates
Animals 2021, 11(6), 1557; https://doi.org/10.3390/ani11061557 - 27 May 2021
Viewed by 1340
Abstract
Replacement pigs’ genomic prediction for reproduction (total number and born alive piglets in the first parity), meat, fatness and growth traits (muscle depth, days to 100 kg and backfat thickness over 6–7 rib) was tested using single-step genomic best linear unbiased prediction ssGBLUP [...] Read more.
Replacement pigs’ genomic prediction for reproduction (total number and born alive piglets in the first parity), meat, fatness and growth traits (muscle depth, days to 100 kg and backfat thickness over 6–7 rib) was tested using single-step genomic best linear unbiased prediction ssGBLUP methodology. These traits were selected as the most economically significant and different in terms of heritability. The heritability for meat, fatness and growth traits varied from 0.17 to 0.39 and for reproduction traits from 0.12 to 0.14. We confirm from our data that ssGBLUP is the most appropriate method of genomic evaluation. The validation of genomic predictions was performed by calculating the correlation between preliminary GEBV (based on pedigree and genomic data only) with high reliable conventional estimates (EBV) (based on pedigree, own phenotype and offspring records) of validating animals. Validation datasets include 151 and 110 individuals for reproduction, meat and fattening traits, respectively. The level of correlation (r) between EBV and GEBV scores varied from +0.44 to +0.55 for meat and fatness traits, and from +0.75 to +0.77 for reproduction traits. Average breeding value (EBV) of group selected on genomic evaluation basis exceeded the group selected on parental average estimates by 22, 24 and 66% for muscle depth, days to 100 kg and backfat thickness over 6–7 rib, respectively. Prediction based on SNP markers data and parental estimates showed a significant increase in the reliability of low heritable reproduction traits (about 40%), which is equivalent to including information about 10 additional descendants for sows and 20 additional descendants for boars in the evaluation dataset. Full article
(This article belongs to the Special Issue Genomic Selection for Quantitative Traits in Animals)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: The effects of LTF and TNFα genes on milk composition are dependent on day in milk
Authors: Katarzyna Wojdak-Maksymiec; Joanna Szyda; Anna Stanisławczyk
Affiliation: West Pomeranian University of Technology in Szczecin
Abstract: So far, a lot of studies have focused on the genetic background of bovine milk production traits and applied heritability models which assumed that the effects of individual genes add up in a simple way and remain unchanged throughout a cow’s life, independently of external and internal factors. The aim of this research study was to verify this assumption by checking if the effects of individual alleles of LTF (substitution C/T in exon 3) and TNFα (substitution T/C in intron 6) genes are variable and depend on a cow’s internal environment (physiological state). The genetic material used in the study was collected from black-and-white Holstein-Friesian cows kept in a single barn in Poland. Daily milk yield and percentage content of fat, protein and lactose were examined once a month on the basis of test-day milkings. The study results show that the effects of individual LTF and TNFα gene alleles vary throughout lactation, that is they depend on a cow’s physiological state. Our findings shed a new light on the mechanisms of quantitative traits inheritance.

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