pheno: Phenotypic information for Jersey

In brnn: Bayesian Regularization for Feed-Forward Neural Networks

Phenotypic information for Jersey

Description

The format of the phenotype dataframe is animal ID, herd, number of lactations, average milk yield, average fat yield, average protein yield, yield deviation for milk, yield deviation for fat, and yield deviation for protein. Averages are adjusted for age, days in milk, and milking frequency. Yield deviations are adjusted further, for herd-year-season effect. You may wish to use yield deviations, because there are relatively few cows per herd (farmers don't pay to genotype all of their cows, just the good ones).

Source

University of Wisconsin at Madison, USA.

References

Gianola, D. Okut, H., Weigel, K. and Rosa, G. 2011. "Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat". BMC Genetics, 12,87.

brnn documentation built on Nov. 10, 2023, 9:08 a.m.