Special Issue "Phenotypic and Genotypic Characterization of Farm 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 October 2021.

Special Issue Editor

Dr. E. Ann Staiger
E-Mail Website
Guest Editor
Department of Animal Sciences, Auburn University, Auburn, AL 36849, USA
Interests: genomics; animal genetics; epigenetics; animal Breeding; precision phenotyping

Special Issue Information

Dear Colleagues,

Until recently, much of animal genetics/genomics research has focused on sequencing animal genomes and applying genome-wide association studies to identify genetic variation associated with economically important traits, and then using the genomic variation to select for predicted phenotypic variation. Phenotyping technologies have not developed as quickly as genotyping technologies in animals, therefore the ability to generate accurate and reproducible phenotypes is a major limitation in the ability to characterize and predict an animal’s phenotype based on its genotype and environment.

This special issue invites original research papers that address methods for phenotyping farm animal species for genetic/genomic mapping, along with the application of modern molecular genetic methods to define genetic variation among farm animals. Papers in the areas of population genetics, genomics/proteomics, epigenetics, and the application of novel phenotyping methods such as biomarkers, computer learning algorithms, etc. for health, nutrition, production, and reproduction are welcome.

Dr. E. Ann Staiger
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

  • Genomics
  • Population Analysis
  • Livestock
  • aquaculture
  • technology

Published Papers (1 paper)

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Research

Article
Genetic Aspects of Somatic Cell Count in Holstein Dairy Cows in Iran
Animals 2021, 11(6), 1637; https://doi.org/10.3390/ani11061637 - 01 Jun 2021
Viewed by 1277
Abstract
The aim of this study was to estimate the genetic parameters of somatic cell count (SCC) and its relationship with production traits in the first three parities in Iranian Holstein dairy cows. Data were 1,891,559 test-day records of SCC, milk yield, and milk [...] Read more.
The aim of this study was to estimate the genetic parameters of somatic cell count (SCC) and its relationship with production traits in the first three parities in Iranian Holstein dairy cows. Data were 1,891,559 test-day records of SCC, milk yield, and milk compositions on 276,217 lactations on 147,278 cows distributed in 134 herds. The number of test-day records in the first, second and third parities were 995,788 (on 147,278 cows), 593,848 (on 85,153 cows), and 301,923 (on 43,786 cows), respectively. Test-day SCCs were transformed to somatic cell scores (SCS). A random regression test-day animal model through four-trait three-lactation was used to estimate variance components for test-day records of SCS and lactation traits were included. Gibbs sampling was used to obtain marginal posterior distributions for the various parameters using a single chain of 200,000 iterates in which the first 50,000 iterates of each chain were regarded as a burn-in period. The mean heritability estimates for SCS (0.15 to 0.18) were lower than those for milk yield (0.36 to 0.38), fat yield (0.30 to 0.31), protein yield (0.31 to 0.32), fat percentage (0.21 to 0.25), and protein percentage (0.21 to 0.22). Low negative genetic correlations ranging from −0.05 to −0.30 were found between SCS and yield traits (milk, fat, and protein yields). The genetic correlation found between SCS and fat percentage was close to zero, however, a low positive genetic correlation ranging from 0.12 to 0.17 was found between SCS and protein percentage. Based on the results, it can be concluded that genetic selection for decreasing SCS would also increase lactation yield. The estimates found in this study can be used to perform breeding value estimations for national genetic evaluations in Iranian Holsteins using a multiple-trait, multiple-lactation random regression model. Full article
(This article belongs to the Special Issue Phenotypic and Genotypic Characterization of Farm Animals)
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