GREEN HERBAGE YIELD ASSESSMENTS OF MAIZE CULTIVARS THROUGH GGE BIPLOT ANALYSIS METHOD

Abstract

The present study was conducted to assess green herbage yields of hybrid maize cultivars grown under different environments for two years. GGE biplot analysis method and regression coefficients were used to assess genotype x environment interaction and to identify the most stable cultivars for green herbage yield. Experiments were conducted in six different environments, green herbage yields in the environments varied between 6.0 t da-1 (E5) and 10.4 t da-1 (E1) and green herbage yield yields of the cultivars varied between 6.8 t da-1 (G14) and 10.9 t da-1 (G18). In GGE biplot analysis, the first two principle component (PC) axis explained about 82.45% of total variation. The genotypes with high PC1 and low PC2 values and regression coefficient of 1.0 were assessed as stable. The cultivar Safak (G18) with such values was identified as the most stable cultivar. The regression coefficient of 1.0 and the greatest green herbage yield proved the stability of that cultivar. The cultivars with higher PC1 and lower PC2 values [30B74 (G2), Seme Kukuruza 877 (G22), ADV 2898 (G24), Wayne (G17), and Safak (G18)] generally had higher green herbage yield than the general average. Safak (G18), 30B74 (G2), Seme Kukuruza 877 (G22), ADV 2898 (G24) and Wayne (G17) cultivars can be use green herbage yield production in south eastern Anatolia will allow the growers to have a profitable production.