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        1 - Genotype ×environment interaction effect and grain yield stability of barley genotypes
        behrouz vaezi rahmattolah mohammadi asghar mehraban tahmaseb hossienpour narges rahmani moghadam
        Genetic× environment interaction for genetic, plant breeder and animal breeding is very important. Insight of G×E helps to plant breeders for genotypes evaluating precisely until select the best genotypes and release the stable genotypes for general and spec More
        Genetic× environment interaction for genetic, plant breeder and animal breeding is very important. Insight of G×E helps to plant breeders for genotypes evaluating precisely until select the best genotypes and release the stable genotypes for general and special environments. Present study in order to achievement to high yield and yield stable in the different years, was done on the 20 advance barley lines with Mahoor and Khorram cultivars as checks in the 2010-2013 growing season at the 4 stations namely; Gachsaran, Moghan, Gonbad and Lorestan. Each genotype was planted in 6 rows with 7.03 meters length, 17.5 cm spacing from each other by cereal seed planter device based on RCBD design with 4 replications. During growing season recording data was done from agronomic and morpho- physiological characters. Combine analysis of variance was accomplished and yield stability was surveyed by parametric, nonparametric and multivariate analysis. Combine analysis of variance was done by general linear models (GLM) and mix models so that all of effects such as Environment, genotype and genotype* environment interaction effects were significant at probability levels (P<0.001). Grain yield ordered form 3.536 tha-1 to 4.148 tha-1 for G7 and G3 respectively with 87.6% and 102.6% relative preference to checks cultivars. In addition to G17 and G9 about yield was sorted at the next steps.Stability parameters results showed that G17 and G9 detected as the stable and yielded cultivars. Site regression (SREG) and AMMI analysis showed that 47.7% and 85.6% of G×E justify which was may be due to high efficiency of AMMI analysis for this study. Site regression analysis (GGE) showed that all environments and barley genotypes were placed at 3 and 4 groups. For this reason could be said that we have a high G*E interaction effects. According to GGE results, G1, G18 and G3 having high stability and yielded more than checks among barley genotypes. Manuscript profile
      • Open Access Article

        2 - Tolerant to drought stress of advance barley genotypes
        behrouz vaezi nages ramanimoghadam
        Present study was consisted on 18 advance barley genotypes which was investigated at Gachsaran Agricultural Research Station for two years with RCBD design with 4 replications. During growing year recording data form agronomic important characters. For statistical analy More
        Present study was consisted on 18 advance barley genotypes which was investigated at Gachsaran Agricultural Research Station for two years with RCBD design with 4 replications. During growing year recording data form agronomic important characters. For statistical analysis was performed by software's such as SAS 9.4, Genstat and GGbiplot. Combine analysis of variance was done for grain yield and some agronomic characters at stress and non stress condition and grain yield mean comparisons was accomplished via Duncan at 1% probability level. Grain yield Combine analysis of variance at stress condition showed that year effect and year× variety interaction effect were significant at 1% probability level and variety effect not significant. But at non stress condition just year effect was significant and other effects not significant. Grain yield mean comparisons at 1% probability level indicated that L13 with 4.483 t/ha and 5.814 t/ha at stress and non stress condition was placed at the first class. Considering drought stress tolerant indices showed that L13 detected as the best tolerant genotype to stress condition. Principle components analysis results showed that just 2 components explained 98.2% of total diversity among data. The first components having high and positive correlation with grain yield at stress condition and stress indices such as mean productivity, harmonic mean, geometrical mean productivity, yield index, yield stability index, stress tolerance index, modified stress tolerance index in stress and non stress condition and finally drought index. For this reason the first component identified as the stress tolerant component. But the 2nd component just with justifying 1.8% of total variation having correlation with TOL index and stress susceptibility index identified as the sensitive component. Manuscript profile