جستجوی مقالات مرتبط با کلیدواژه « مدل های رگرسیونی » در نشریات گروه « بیوتکنولوژی و ژنتیک گیاهی »

Analysis of the genotype×environment (GE) interaction of barley (Hordeum vulgare L.) can aid in detecting genotype performance better under diverse and harsh environments. Sixteen advanced breeding lines and two cultivars were tested across five locations at Gachsaran, Gonbad, Ilam, Lorestan and Mughan districts during three years of 2017 to 2019. Stability analysis was determined using 19 different variance and regression methods with 26 univariate statistics because each method explores stability from different aspects and all of them can reflect a comprehensive stability characteristic of genotypes. The result showed that environment, genotype and GE contributed 92, 2 and 8% of the total variation and there is no strongest genetic control. According to the GE sum squares-based parameters, genotypes G13, G12 and G15 were more stable. The coefficient of line slope and residual variance of common and adjusted linear regression, manifested G1, G2, G12 and G18 as the most stable and responsive genotypes. The selective value of genotype (SVG) identified G6, G10 and G11 as the most stable genotypes while G2, G5 and G13 were the most stable genotypes based on superiority measure (SM). According to H parameter, genotypes G2, G13 and G18 were identified as the most stable genotypes while the dynamic CV and dynamic regression introduced G3 and G15 as the most stable genotypes. The relative superiority (RS), proposed G1, G2 and G5 as the most stable genotypes. Finally, H statistic, RS and SM could be recommended for stability analysis in future breeding programs for the simultaneous selection of yield and stability.