Genetics of Reproductive Traits in Farm Animal

A special issue of Veterinary Sciences (ISSN 2306-7381). This special issue belongs to the section "Veterinary Biomedical Sciences".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 13600

Special Issue Editors


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Guest Editor
Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina, MG, Brazil
Interests: animal breeding; omics; gene networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Animal Science, Universidade Federal de Viçosa, Viçosa 36570-000, MG, Brazil
Interests: genome wide association; genomic selection; nutrigenomic; functional genomic; intrauterine development and pregnancy; genetics and animal breeding; molecular biology of reproduction in females; myogenesis and muscle biology of meat quality

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Guest Editor
Embrapa Gado de Leite, Rua Eugênio do Nascimento, 610, Dom Bosco, 36038-330 Juiz de Fora, MG, Brazil
Interests: genomics; dairy cattle; bioinformatics; molecular markers; genomic selection; sequencing data

Special Issue Information

Dear Colleagues,

Reproductive traits are widely included in the selection indices of farm animal breeding programs due to their importance to the industry. These traits are directly involved with the higher production and welfare of progenies. Several genetic studies have been performed with the aim of acquiring a better understanding of the genetic architecture of reproductive traits. Nowadays, there are a variety of genetic tools to acquire this better understanding (e.g., genomics, transcriptomics, proteomics, and metabolomics). This Special Issue aims to present all genetic research to answer questions about reproductive traits in farm animals using genetic tools. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: genomic selection approaches, genome-wide association studies, genomics, transcriptomics, and proteomics, among others. 

We look forward to receiving your contributions.

Dr. Lucas Lima Verardo
Prof. Dr. Simone E. F. Guimarães
Dr. Marcos Vinícius G. B. Da Silva
Guest Editors

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Keywords

  • genomics
  • transcriptomics
  • proteomics
  • candidate genes
  • genomic selection

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Published Papers (3 papers)

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Research

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13 pages, 1537 KiB  
Article
Breeding Dairy Cattle for Female Fertility and Production in the Age of Genomics
by Joel Ira Weller, Moran Gershoni and Ephraim Ezra
Vet. Sci. 2022, 9(8), 434; https://doi.org/10.3390/vetsci9080434 - 15 Aug 2022
Cited by 5 | Viewed by 1955
Abstract
Phenotypic and genetic changes for female fertility and production traits in the Israeli Holstein population over the last three decades were studied in order to determine if long term selection has resulted in reduced heritability and negative genetic correlations. Annual means for conception [...] Read more.
Phenotypic and genetic changes for female fertility and production traits in the Israeli Holstein population over the last three decades were studied in order to determine if long term selection has resulted in reduced heritability and negative genetic correlations. Annual means for conception status, defined as the inverse of the number of inseminations to conception in percent, decreased from 55.6 for cows born in 1983 to 46.5 for cows born in 2018. Mean estimated breeding values increased by 1.8% for cow born in 1981 to cows born in 2018. Phenotypic records from 1988 to 2016 for the nine Israeli breeding index traits were divided into three time periods for multi-trait REML analysis by the individual animal model. For all traits, heritabilities increased or stayed the same for the later time periods. Heritability for conception status was 0.05. The first parity genetic correlation between conception status and protein yield was −0.38. Heritabilities decreased with the increase in parity for protein but remained the same for conception status. Realized genetic trends were greater than expected for cows born from 2008 through 2016 for somatic cell score, conception status and herd-life, and lower than expected for the production traits. Full article
(This article belongs to the Special Issue Genetics of Reproductive Traits in Farm Animal)
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15 pages, 1120 KiB  
Article
PRM1 Gene Expression and Its Protein Abundance in Frozen-Thawed Spermatozoa as Potential Fertility Markers in Breeding Bulls
by Berlin Pandapotan Pardede, Muhammad Agil, Ni Wayan Kurniani Karja, Cece Sumantri, Iman Supriatna and Bambang Purwantara
Vet. Sci. 2022, 9(3), 111; https://doi.org/10.3390/vetsci9030111 - 3 Mar 2022
Cited by 13 | Viewed by 4979
Abstract
Functional genes and proteins in sperm play an essential role in bulls’ reproductive processes. They are more accurate in determining bull fertility than conventional semen quality tests. Protamine-1 (PRM1) is a gene or protein crucial for packaging and protecting sperm DNA [...] Read more.
Functional genes and proteins in sperm play an essential role in bulls’ reproductive processes. They are more accurate in determining bull fertility than conventional semen quality tests. Protamine-1 (PRM1) is a gene or protein crucial for packaging and protecting sperm DNA until fertilization affects normal sperm function. This study analyzes the genes and proteins potential from PRM1 as fertility markers for different breeds of bulls utilized in the artificial insemination programs, expected to be an accurate tool in interpreting bull fertility in Indonesia. This study used Limousin, Holstein, and Ongole Grade bulls divided into two groups based on fertility, high-fertility (HF) and low fertility (LF). The semen quality assessment included progressive motility (computer-assisted semen analysis), viability (eosin-nigrosine), and plasma membrane integrity (HOS test). Sperm DNA fragmentation (SDF) was assessed using the acridine orange staining and the Halomax test. Sperm PRM deficiency was evaluated with the chromomycin A3 method. Moreover, PRM1 gene expression was measured using qRT-PCR, and the PRM1 protein abundance was measured with the enzyme immunoassay method. Semen quality values, relative expression of PRM1 gene, and quantity of PRM1 protein were significantly higher (p < 0.05) in HF bulls than in LF bulls. The SDF and PRM deficiency values in LF bulls were significantly higher (p < 0.05) than HF bulls. Additionally, PRM1 at the gene and protein levels correlated significantly (p < 0.01) with fertility. Therefore, PRM1 is a potential candidate for fertility markers in bulls in Indonesia. Full article
(This article belongs to the Special Issue Genetics of Reproductive Traits in Farm Animal)
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Review

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22 pages, 1222 KiB  
Review
An Appropriate Genetic Approach for Improving Reproductive Traits in Crossbred Thai–Holstein Cattle under Heat Stress Conditions
by Akhmad Fathoni, Wuttigrai Boonkum, Vibuntita Chankitisakul and Monchai Duangjinda
Vet. Sci. 2022, 9(4), 163; https://doi.org/10.3390/vetsci9040163 - 28 Mar 2022
Cited by 16 | Viewed by 5649
Abstract
Thailand is a tropical country affected by global climate change and has high temperatures and humidity that cause heat stress in livestock. A temperature–humidity index (THI) is required to assess and evaluate heat stress levels in livestock. One of the livestock types in [...] Read more.
Thailand is a tropical country affected by global climate change and has high temperatures and humidity that cause heat stress in livestock. A temperature–humidity index (THI) is required to assess and evaluate heat stress levels in livestock. One of the livestock types in Thailand experiencing heat stress due to extreme climate change is crossbred dairy cattle. Genetic evaluations of heat tolerance in dairy cattle have been carried out for reproductive traits. Heritability values for reproductive traits are generally low (<0.10) because environmental factors heavily influence them. Consequently, genetic improvement for these traits would be slow compared to production traits. Positive and negative genetic correlations were found between reproductive traits and reproductive traits and yield traits. Several selection methods for reproductive traits have been introduced, i.e., the traditional method, marker-assisted selection (MAS), and genomic selection (GS). GS is the most promising technique and provides accurate results with a high genetic gain. Single-step genomic BLUP (ssGBLUP) has higher accuracy than the multi-step equivalent for fertility traits or low-heritability traits. Full article
(This article belongs to the Special Issue Genetics of Reproductive Traits in Farm Animal)
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