01965naa a2200289 a 450000100080000000500110000800800410001910000230006024500950008326000090017852011460018765000190133370000200135270000200137270000180139270000200141070000190143070000190144970000160146870000160148470000220150070000250152270000200154770000230156770000190159077300660160920831192017-12-20       2017    bl uuuu     u00u1 u    #d1 aPELEGRIN, A. J. de  aAdaptability, stability and multivariate selection by mixed models.h[electronic resource]  c2017  aThe aim of this work was to estimate the adaptability and stability of grain yield per hectare and percentage of crude protein of maize grains combined in an index, and to establish a multicharacter selection through mixed models based on an objective character and 15 auxiliary traits. The trials were conducted in the 2013/2014 agricultural year in four growing environments of the Rio Grande do Sul, BR state. The experimental design was randomized blocks arranged in a factorial scheme, being four growing sites × 15 single cross maize hybrids, arranged in three repetitions. The genotypic index, composed by the grain yield and the crude protein percentage in the grains, is the best selection strategy to achieve maize superior genotypes. The multivariate genotypes selection, considering grain yield and crude protein, is efficient. The genotypes FORMULA TL®, AS1656PRO®, P30F53Hx®, LG6304YG® and 30F53 are more adapted and stable for grain yield and percentage of crude protein, in the conditions of this study. The mixed models were efficient to employ the multicharacter selection and to contribute for maize genetic breeding.  aPlant Breeding1 aCARVALHO, I. R.1 aNUNES, A. C. P.1 aDEMARI, G. H.1 aSZARESKI, V. J.1 aBARBOSA, M. H.1 aROSA, T. C. da1 aFERRARI, M.1 aNARDINO, M.1 aSANTOS, O. P. dos1 aRESENDE, M. D. V. de1 aSOUZA, V. Q. de1 aOLIVEIRA, A. C. de1 aMAIA, L. C. da  tAmerican Journal of Plant Sciencesgv. 8, p. 3324-3337, 2017.