The aim of this work was to use association rules to identify forces that govern bull trade with genetic evaluation by Programa Nelore Brasil. Those rules permit to highlight patterns implicit in the transactions of large databases, which indicate determining causes and effects of supply and trade of bulls. In the analysis, it was considered 19,736 records of traded bulls, 17 farms and 15 attributes related to expected differences on the progenies of sires, place and time of sale. A system with user-driven graphical interface that allows generation and interactive selection of association rules was used. Pareto analysis was applied for the three objective measures (support, trust and lift) that follow each one of the association rules to validate them. It was generated 2,667 association rules, 164 considered to be useful by the user and 107 valid for lift ≥ 1.0505. The farms participating in the Nelore Brasil program present expertise in bull offering according to maternal ability characteristics, weight gain, fertility, sexual precocity, longevity, yield and termination of carcass. The genetic profiles of the bulls are different for standard and Mocho Nellore varieties. Some Brazilian regions are market niche for sires without registered herd. The analysis of evolution of the market suggests that Mérito Genético Total (MGT), the official index of the Program Nelore Brasil has become an important index for commercialization of bulls. By using association rules, it was possible to discover market forces and to identify combinations of genetic, geographical and temporal attributes that determine commercialization of bulls in Nelore Brasil program.
bull trade; data mining; genetic improvement; information technology; market forces
