G: Genomic additive relationship matrix for the Jersey dataset.

Description Source References

Description

A matrix, similar to this was used in Gianola et al. (2011) for predicting milk, fat and protein production in Jersey cows. In this software version we do not center the incidence matrix for the additive effects.

G=\frac{X_a X_a'}{2∑_{j=1}^p p_j (1-p_j)},

where

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 Sept. 10, 2021, 1:06 a.m.

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