Jul 2026· International Journal of Environmental & Agriculture Research· 0 citations
TL;DR
This review summarizes the historical evolution, fundamental principles, methodological developments, and practical applications of genomic selection in livestock breeding while highlighting emerging innovations and future research directions that are expected to shape next-generation animal improvement programs.
Abstract
Genomic selection (GS) has transformed modern animal breeding by enabling the prediction of genetic merit using dense genome-wide molecular markers rather than relying solely on pedigree and phenotypic information. Since its conceptual introduction in 2001, GS has become a cornerstone of genetic improvement programs in livestock species, particularly dairy cattle, and has subsequently expanded to beef cattle, sheep, goats, swine, poultry, and aquaculture. The integration of high-density single nucleotide polymorphism (SNP) genotyping with advanced statistical prediction models has substantially increased the accuracy of breeding value estimation, shortened generation intervals, and accelerated rates of genetic gain. Compared with conventional best linear unbiased prediction (BLUP) and marker-assisted selection (MAS), genomic selection captures the combined effects of thousands of loci distributed throughout the genome, making it highly effective for complex quantitative traits governed by many genes of small effect. Recent advances, including single-step genomic BLUP, Bayesian prediction methods, whole-genome sequence analysis, functional genomics, multi-omics integration, artificial intelligence, and precision livestock farming technologies, have further enhanced the scope and efficiency of genomic prediction. These innovations are facilitating simultaneous improvement in productivity, fertility, feed efficiency, disease resistance, animal welfare, and environmental sustainability. Moreover, genomic information is increasingly being integrated with genome editing technologies such as CRISPR to support precision breeding strategies. This review summarizes the historical evolution, fundamental principles, methodological developments, and practical applications of genomic selection in livestock breeding while highlighting emerging innovations and future research directions that are expected to shape next-generation animal improvement programs.
Genomic selection; A Modern perspective in Animal breeding which has revolutionized the Dairy and Beef industry. It has enabled us to predict the genetic merit of candidate animals early and accurately by means of Genome Wide testing technologies. This review article focuses on the key advancements in genomic selection...
Muhammad Hassan Raza, Muhammad Ali Raza, Abdullah Basra et al.· Discoveries in Agriculture a...· 0 citations
Goats (Capra hircus) are among the world’s most important livestock, providing milk, meat, and fiber across diverse agro-ecological zones. Traditional breeding relying on pedigree-based estimated breeding values (EBVs) has driven steady genetic progress but is constrained by long generation intervals and limited accura...
Ting-Chieh Kang, Hisn-Hung Lin, Kai-Fei Tseng et al.· Frontiers in Veterinary Scie...· 0 citations
The exponential increase in the number of genotyped animals, combined with the availability of high-density SNP chips has introduced computational challenges for routine genomic evaluations, particularly during the construction of the genomic relationship matrix. Although higher-density SNP panels can facilitate the id...
A. R. Ogunbawo, H. Mulim, J. Hidalgo et al.· bioRxiv· 0 citations
Abstract Genomic prediction has become a central paradigm in biology, enabling quantitative inference of genetic contributions to complex traits across humans, animals, and plants. Although genomic research in human genetics and animal breeding shares a highly homologous methodological foundation, significant barriers...
Jin-Bu Wang, Li-Li Du, Zhi-Da Zhao et al.· Briefings in Bioinformatics· 0 citations
A comprehensive overview of GS methodologies is provided, first covering the statistical foundations of linear mixed and Bayesian models, and then modern ML and DL approaches, to provide practical guidance for optimizing genomic evaluation strategies in the era of big data breeding.
Li-Fei Zhang, Mingzhu Zhang, Xinle Wang et al.· Journal of Animal Science an...· 1 citation
By using genome-wide markers to predict an individual’s genetic potential, the introduction of Genomic Selection (GS) has transformed animal breeding. This greatly accelerated selection for complex traits by lowering reliance on drawn-out field trials, allowing for faster genetic gains in livestock. However, there is l...
V. Vohra, Parth Gaur, V. Sahana et al.· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.