ABSTRACT.- Random-regression models (RRM) are used in national genetic evaluations for longitudinal traits. The outputs of RRM are an index based on random-regression coefficients and its reliability. The reliabilities are obtained from the inverse of the coefficient matrix of mixed model equations (MME). The reliabilities must be approximated for large datasets because it is impossible to invert the MME. There is no extensive literature on methods to approximate the reliabilities of RRM when genomic information is included by single-step GBLUP.

I. Presentación. -- II. Registros meteorológicos. (María José Cuitiño, Ing. Agr. (M.Sc.), Evaluación de Cultivares, INIA La Estanzuela; Ximena Morales,
Téc. Agríc. Gan., Evaluación de Cultivares, INIA La Estanzuela; Valeria Cardozo, Licenciada en TI., Evaluación de Cultivares, INIA La Estanzuela). -- III. Evaluación de sorgo para silo. -- 1. Materiales y métodos. -- 2. Resultados de sorgo para silo. (María José Cuitiño, Irene Purtscher, Silvina Stewart,
Ximena Cibils, Ximena Morales, Valeria Cardozo).