02443naa a2200325 a 450000100080000000500110000800800410001902200140006010000160007424501050009026000090019550001320020452013840033665000200172065000160174065000160175665000150177265000150178765000180180265000240182065300180184465300380186265300270190070000190192770000220194670000160196870000210198470000190200577300930202419602182017-09-21 2012 bl uuuu u00u1 u #d a0100-204X1 aPETRINI, J. aDegree of multicollinearity and variables involved in linear dependence in additive-dominant models. c2012 aTítulo em português: Grau de multicolinearidade e variáveis envolvidas na dependência linear em modelos aditivo-dominantes. aThe objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive‑dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non‑additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03?70.20 for RM and 1.03?60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non‑additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition. aAnimal breeding aBeef cattle aBos indicus aBos taurus aCruzamento aGado de corte aMelhoramento animal aCrossbreeding aFator de inflação da variância aMatriz de correlação1 aDIAS, R. A. P.1 aPERTILE, S. F. N.1 aELER, J. P.1 aFERRAZ, J. B. S.1 aMOURÃO, G. B. tPesquisa Agropecuária Brasileira, Brasília, DFgv. 47, n. 12, p. 1743-1750, dez. 2012.