Genomic Approaches to Disease Resistance in Livestock

Abstract

Purpose: The main objective of this study was to explore the use of genomics and selective breeding to enhance disease resistance in livestock populations.

Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Findings: The findings revealed that there exists a contextual and methodological gap relating to genomic approaches to disease resistance in livestock. Preliminary empirical review revealed that genomic approaches to disease resistance in livestock have emerged as powerful tools in the field of animal breeding and management. Over the past few years, research and empirical studies have consistently demonstrated the immense potential of genomics to revolutionize the way we address disease challenges in livestock populations. These approaches have allowed for delving deep into the genetic makeup of animals, identifying specific markers and genetic traits associated with disease resistance. By doing so, we can now make more informed breeding decisions, selecting animals with superior resistance profiles and improving overall herd or flock health.

Unique Contribution to Theory, Practice and Policy: The theory of Evolution by Natural Selection, Quantitative Genetics theory and the Genomic Selection theory may be used to anchor future studies on genomic approaches in disease resistance. The study made the following recommendations: implementing genomic selection programs, promoting collaborative research, focusing on sustainable breeding practices, enhancing biosecurity measure, investing in genomic education and training and monitoring long term impacts.