G: Genomic additive relationship matrix for the Jersey dataset.

Description Source References


A matrix has been 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)},



University of Wisconsin at Madison, USA.


Gianola, D. Okut, H., Weigel, K. and Rosa, G. 2011. "Predicting complet quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat". BMC Genetics 12(1), 87-92. .

snnR documentation built on May 2, 2019, 8:54 a.m.

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