The paper assesses the behavior of triticale genotypes in the evolution of the environment in Timisoara area during 2001 - 2011. The triticale varieties and lines were bred in the Eastern part of Romania [RICIC Fundulea] with a different climate pattern than Timisoara. We intended to see the yield evolution during a long period of cultivation [10 years--3 varieties bred before 2000; Group 1] and the new genotypes bred after 2000; Group 2] cultivated during 6 - 2 years. Each year, new different varieties (in total 32) and new lines (in total 78) were also under observation. For 10 years, the best variety from the first Group was Titan [5643.2 ± 710.2 kg/ha; CV% = 39.8]. From the second Group, the highest yield average revealed Haiduc variety [6207.2 ± 715.0 kg/ha; CV% = 34.6. During 3 years of cultivation Nera, Matroz and Negoiu pointed out 7936 kg/ha, 7542 kg/ha and 7266 kg/ha respectively. Nedeea and Oda overpasses 8500 and 7500 kg/ha during 2010 - 2011 respectively. The 2011 agricultural year was improper for cereals. It was affected by high temperature, and small amounts of precipitations. Only 64.16% of the average amounts of precipitation were accumulated. In these conditions the best varieties were Gorun and Haiduc performing 7190 kg/ha and 7058 kg/ha respectively. 40% of the tested varieties yielded less than 4500 kg/ha. From the farmers' point of view the best varieties were Titan and Gorun. In terms of the eight plant traits studied in 2011, the phenotypic similarity [ps] between varieties was variable. According to obtained results, we advise the farmers to compose a complex of varieties that should be proper for their specific environment. The favorable combination for cultivation in a stable environmental condition are Gorun [7190 kg/ha] and Matroz [6863 kg/ha] with ps = 93.23% revealing a high similarity. In an unstable environment, the best variety combination for cultivation are: Titan [6025 kg/ha] and Haiduc [7058 kg/ha] [ps = 49.94%], Titan [6025 kg/ha] and Gorun [7190 kg/ha] [ps = 47.93%]. The biplot analysis for the quantitative and qualitative traits highlighted the significant contribution of the number of spikes per unit area.

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