Exploring the possibilities of genetic improvement from traceability data: An example in the Pirenaica beef cattle

Abstract

The aim of this study is to explore the potential use of the information generated by the Spanish traceability program (SIMOGAN) for animal breeding purposes in the Pirenaica beef cattle breed. The traits included in the study were: cold carcass weight (CW, n = 20,010), conformation (CON, n = 15,808), fat cover (FC, n = 13,739) and colour (COL, n = 3477) from the SIMOGAN database; and weaning weight (WW, n = 15,561) from the Breeders Association (CONASPI) database. Posterior marginal estimates of genetic parameters were obtained using Bayesian inference, implemented via a Gibbs sampling scheme. Posterior marginal means of heritabilities were 0.34, 0.28, 0.19, 0.23 and 0.38 for CW, CON, FC, COL and WW, respectively. Moreover, posterior marginal distributions of genetic correlations between CW-CON, CW-WW, CON-FC and FC-WW do not include the zero within the Highest Posterior Density (HPD) at 95%, and their posterior mean estimates were 0.30, 0.54, − 0.35 and 0.23, respectively. These results indicate that there is enough genetic variability for selection in CW, CON, FC, COL and WW. The availability of records is potentially abundant at a very low cost, thus they can be easily included in the selection criteria. Consequences of the current selection criteria (WW) and other possible alternatives are discussed.