فهرست مطالب معصوم خیرگو

The aim of this study was to select of the barley superior lines based on some of morpho-phenological traits using various indices based on REML/BLUP model and as well as the SIIG index and comparison of these indices. A set of 17 promising lines along two checks were evaluated in a RCBD with three replications at three research stations including Zabol, Darab, and Gonbad Kavous during the 2020-2021 cropping year. The results showed that there was a significant difference between the test regions and genotypes in terms of all measured traits. The results obtained by REML model indicated that the highest and lowest heritability values were related to 1000-grain weight and grain filling period, respectively. The MTSI index identified lines G9, G2 and G3 as superior lines, while the FAI-BLUP index identified G13, G11 and G3 as the best lines based on their traits and grain yield. Based on the SIIG index, lines G7, G2, G8 and G17 were identified as the most superior lines. In general, by comparing the results obtained from different indices, selected lines with SIIG index due to high grain yield and high 1000-grain weight were chosen as selected genotypes for complementary tests. In addition, the selected genotypes using FAI-BLUP and MGIDI indices were early maturity and had a high 1000-grain weight, but their grain yield were lower than both checks of experiment.

This study was conducted to investigate the yield stability and determine the portion of some Morpho-phonological traits in the GEI effect in barley. For this purpose, a total of 20 barley genotypes were investigated at five tropical research stations of Iran during the 2018-2020 cropping seasons. In all trials, a RCBD with three replications was used. Stability analysis was performed using two set of stability models including parametric statistics and REML/BLUP-based statistics. The results of parametric were pooled in genotype SIIG as a unique stability index. Morpho-phonological data were analyzed using the path analysis. The days-to heading (X1) and days-to maturity (X2), plant height (X3), and 1000-kernels weight (X4) were considered to be sequential traits for the development of grain yield productivity (Y). Based on results, genotypes G6, G2, G3, G5, G13, G17, G11, G12 and G14 with greater grain yield than average grain yields and high values of stability statistics were identified as desirable genotypes in terms of yield performance and stability. Furthermore, three BLUP-based statistics, HMGV, RPGV and HMRPGV, were recognized genotypes G20, G6, G2, G3, G11, G12 and G17 as the high-yielding and stable genotypes. In total, lines G6, G3 and G11, which were superior in both methods, were selected. The results of path analysis revealed that DHE has a positive relationship with grain yield; hence more emphasis should be placed on selection based on spike emergence later to improve the yield potential of barley in warm regions of Iran.

The analyses of genotype × environment interaction in multi-environment yield trials are very important for evaluation, selection and recommendation of crop varieties. The purpose of this study was to identify high yielding and stable barley lines for introduction in different regions of warm climates of the Iran.

17 barley promising lines (with two checks Auxin and WB-94-3) will be evaluated in two years (2017 – 2019) using RCBD with three replications in five stations of warm zone including Ahvaz, Darab, Zabol, Gonbad and Moghan.

The results of variance analysis showed that the effects of location, genotype and genotype × location, genotype × year and genotype × year × location interactions were significant at the 0.01 probability level. The polygon-view of GGE biplot led to the identification of four superior lines (G18, G10, G19, and G17), six poor lines and three mega-environments. Among the test locations, Gonbad had a high discriminating ability to show differences between the genotypes and Moghan showed the least of discriminating; Also, Gonbad showed the highest amount of broad sense heritability of grain yield (0.780) and Moghan showed the lowest amount of broad sense heritability of grain yield (0.018).

Comparison of the studied lines with the ideal genotype showed that lines G18, G10, G19 and G17 were the closest lines to the ideal genotype with high yield and relative yield stability. Finally, these four lines were selected as the top lines for additional studies.

Evaluation of genotypes under multiple environments is the prerequisite for the development of stable and superior genotypes for sustainable barley production in different environmental conditions. In order to evaluate the yield stability and determine the portion of different morpho-phonologic traits in the interaction of genotype × environment in promising barley lines, 17 barley promising lines with three checks including Nimrooze/Sahra and Auxin cultivars and WB-94-3 line) were evaluated in two years (2017 – 2019) using RCBD with three replications in five stations of warm zone including Ahvaz, Darab, Zabol, Gonbad and Moghan. Stability analysis was performed using different nonparametric methods. The results of the nonparametric methods were integrated using selction index of ideal genotype (SIIG). The morpho-phonologic data were analyzed by path analysis model which is composed of a main effect and four multiplicative effects. The flowering time (X1), maturity time (X2), plant height (X3), and 1000-kernel weight (X4) were assumed to be sequential characters to justify grain yield productivity (Y) in barley. The results of analysis of variance of grain yield using parametric and non-parametric methods showed that the effect of genotype, environment and genotype × environment interaction was significant at the level of 1% probability. The results showed that based on the nonparametric methods (SIIG index), lines no. G10, G18, G19, G16 and G15 were stable lines and higher than average grain yield. The positive correlation of SIIG with genotypic components of flowering time (V1) and 1000-kernal weight (V4) indicated that the 1000-kernal weight and flowering time are the main contributor towards GE interaction for grain yield in warm zone barley.

To determine the yield stability of barley promising lines, 17 lines along with three control genotypes were evaluated in five warm zone stations during two years (2017-2019) in randomized complete block design with three replications and their stability was determined using AMMI (additive main effects and multiplicative interaction) and SHMM (Shifted multiplicative model). Analysis of variance of grain yield using AMMI model showed that the effect of genotype, environment and genotype × environment interaction was significant at 1% probability level. Genotype × environment interaction analysis based on AMMI model showed that the four main components of interaction were significant at the level of 1% probability. These four components explained 84.7% of the changes in genotype × environment interaction. The lowest value of RMS PD was related to AMMI1 model. Therefore, the interpretation of the results using the AMMI1 model is more valid than the AMMI2 model. According to the AMMI2 model, lines WB-96-8 and WB-96-9 had specific adaptability with the Zabol region and line WB-96-12 had specific adaptability with Moghan. Lines WB-96-10, WB-96-17, WB-96-18 and WB-96-19 were the high-performance lines in this study. The grouping of locations based on the SHMM model created two groups. The first group includes Darab, Ahvaz and Zabol, which are part of the warm zone stations in the south of the country. The second group included Moghan and Gonbad stations (warm northern zone).