Improving disease resistance or tolerance in animal herds by managing genetic resources is a strong strategy for disease control. There are a variety of benefits to incorporating genetic factors into disease management regimes, and these depend on the nature of the problem and the available resources. Possible strategies include the selection of the right breed for the production environment, or cross-breeding to incorporate disease resistance genes. Traditional breeding methods have had a lot of success with many economic qualities; but, because milk production has a moderate heritability, traditional breeding hasn't yielded as much. It is well established that milk production is a polygenetic trait, meaning it is controlled by several genes. Thus, identification of markers and the underlying mechanism for controlling phenotypes is the main focus of research today in animal science. Various genetic approaches including RNA-sequencing, whole-genome sequencing, mapping of quantitative trait loci (QTL), candidate gene analysis and genome-wide association study (GWAS) have been utilized to identify fundamental genes or their polymorphisms correlated with animal production phenotypic traits.
We can discover genetically superior animals at a young age via genomic selection. Before they reach sexual maturity, DNA-tested animals can receive accurate genomically increased breeding values. Furthermore, the generation interval can be reduced due to the increased employment of young, genetically superior males and females in genomic selection. Breeders can increase the intensity of selection by using genomic testing to discover a bigger pool of possibly superior animals. The rate of genetic development for commercially important animal production qualities can be nearly doubled by improving the accuracy and intensity of selection and shortening the generation interval. Furthermore, the identification of genetic markers for both production and disease resistance could be utilized in future for animal production sustainability.
We welcome mini-reviews, full-length reviews and original research articles to following area of research:
• Total RNAs sequencing profiling in reproductive and productive traits.
• Mapping of quantitative trait loci (QTL).
• Candidate gene analysis and genome-wide association study (GWAS).
• Markers study for production and disease resistance.
• Integrative Analysis of Metabolomic and Transcriptomic Data.
• Gene editing
Improving disease resistance or tolerance in animal herds by managing genetic resources is a strong strategy for disease control. There are a variety of benefits to incorporating genetic factors into disease management regimes, and these depend on the nature of the problem and the available resources. Possible strategies include the selection of the right breed for the production environment, or cross-breeding to incorporate disease resistance genes. Traditional breeding methods have had a lot of success with many economic qualities; but, because milk production has a moderate heritability, traditional breeding hasn't yielded as much. It is well established that milk production is a polygenetic trait, meaning it is controlled by several genes. Thus, identification of markers and the underlying mechanism for controlling phenotypes is the main focus of research today in animal science. Various genetic approaches including RNA-sequencing, whole-genome sequencing, mapping of quantitative trait loci (QTL), candidate gene analysis and genome-wide association study (GWAS) have been utilized to identify fundamental genes or their polymorphisms correlated with animal production phenotypic traits.
We can discover genetically superior animals at a young age via genomic selection. Before they reach sexual maturity, DNA-tested animals can receive accurate genomically increased breeding values. Furthermore, the generation interval can be reduced due to the increased employment of young, genetically superior males and females in genomic selection. Breeders can increase the intensity of selection by using genomic testing to discover a bigger pool of possibly superior animals. The rate of genetic development for commercially important animal production qualities can be nearly doubled by improving the accuracy and intensity of selection and shortening the generation interval. Furthermore, the identification of genetic markers for both production and disease resistance could be utilized in future for animal production sustainability.
We welcome mini-reviews, full-length reviews and original research articles to following area of research:
• Total RNAs sequencing profiling in reproductive and productive traits.
• Mapping of quantitative trait loci (QTL).
• Candidate gene analysis and genome-wide association study (GWAS).
• Markers study for production and disease resistance.
• Integrative Analysis of Metabolomic and Transcriptomic Data.
• Gene editing