How Can Data Science Improve Livestock Outcomes?
Genstat is a flexible and easy to use menu-driven statistical package ideal for those involved in animal breeding activities. Genstat uses a standard menu and dialog interface where only a few inputs, selections and mouse clicks are needed to undertake simple or more complex analyses.
Genstat users in the animal breeding sector have a wealth of analysis models available to them including linear, generalised linear and non-linear regression models and multivariate analysis. Genstat analysis tools most commonly used by researchers in the field are:
REML: Estimate breeding values and heritability from genetic models including the animal model, maternal trait model, common environmental effects model, and full-sib, half-sib and sire parental models
Genomic selection: Genstat offers a suite of procedures for statistical genetics including genomic prediction (or genomic selection) and selection indexes.
GxE: Genstat helps you easily explore the phenotypic performance of animals in different environments using a GGE biplot or AMMI model.
QTL: Identify the genetic factors underlying phenotypic variation in animals by means of QTL linkage analysis or association linkage disequilibrium (LD) mapping from a genome-wide association study (GWAS).