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Efficiency of data transformation strategies is evaluated to correct heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies. Four data structures of bovine weaning weights were simulated: herds with and without heterogeneity for means and variances, and herds with and without genetic connectedness. In the genetic evaluations, data were used in the original scale and transformed (Logarithmic, Square root, standardization and ratio by phenotypic standard deviation). The evaluated data transformation strategies were not efficient in eliminating the negative effects of heterogeneity among cattle in the genetic evaluation of bulls, cows and progenies.  O objetivo deste estudo foi avaliar a eficiência de estratégias de transformação de dados para correção da heterogeneidade entre rebanhos na avaliação genética de touros, vacas e progênies. Quatro estruturas de dados relativos a peso à desmama de bovinos foram simuladas: rebanhos com e sem heterogeneidade para médias e variâncias, e rebanhos com e sem conexidade genética. Nas avaliações genéticas, utilizaram-se dados na escala original e transformados (Logarítmica, Raiz quadrada, Padronização e Razão pelo desvio-padrão fenotípico). As estratégias de transformação de dados avaliadas não foram eficientes para eliminar os efeitos negativos da heterogeneidade entre rebanhos sobre a avaliação genética de touros, vacas e progênies

Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity