Modelling growth in Suffolk and Charollais sheep populations using random regression models and validation of constrained polynomial correlation values.

Abstract excerpt

Random regression modelling has been used across multiple animal species to model longitudinal data. The random regression model for growth accounts for the genetic correlation between measures of the same trait over time and the wide environmental variability in growth, but this requires adequate weight records across the age range. However, contemporary management practices in sheep in the United Kingdom...

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