جستجوی مقالات مرتبط با کلیدواژه "تجزیه امی" در نشریات گروه "زراعت"

Canola (Brassica napus L.) is one of the most important edible oil seed after soybean (Glycin max L.). Canola is self-pollinated plant but it will be cross-pollinated in presence of insects nearly to 30% that use for hybrid variety with interested heterosis. A total of genotype, environment and interaction of these two factor effects resulte in a genotype yield value. The genotype × environment interaction reduce selection efficient of a genotype. So, The evaluation of genotype × environment interaction result in suitable variety selection. It is used different statistical nonparametric and parametric uni and multivariate methods to evaluate interaction of genotype × environment which one assess a specific aspect of genotypes yield. AMMI, GGE biplot and PCA are the common methods to evaluate interaction effects. In common, the aim of compatibility is gaining varieties with high yield in different environments but in specific concept, it means detection of varieties which have high yield in specific environments.

This research was conducted with aim to study of stability in 9 winter hybrid lines of canola which evaluated in primary yield experiment in cold and mild environments of country with 4 controls varieties, Ahmadi, Nima, Ocapi and Nafis and revealed their superiorities. The experiment was done in complete block design with three replications in six enviroments include Karaj, Esfahan, Khoy, Kermanshah, Hamedan and Zarghan during 2013-2014 and 2014- 2015. The cultivation was done according to common method in each environment and the genotypes were considered as constant factor. It was used of AMMI and GGE biplot models for selection of high yield genotypes and varieties with specific and common adaptability using R-project software.       

The results of combined analysis of variance for 12 environments revealed that the effect of environment, interaction of year × environment, genotype, interaction of genotype × year, interaction of genotype × environment and interaction of genotype × year × environment were 22.8%, 45.5%, 2.9%, 1.35%, 7.02% and 6.54%, respectively which the highest one was the changes resulted from year × environment effect. The significant effect of genotype × environment means to different response of genotypes to various environment in means of years and so, we can recognize compatible genotypes for specific environment. This effect resulted from changing in genotype ranking in different environments that show fluctuation of yield in the environments. In spite of significant genotype effect in combined analysis, the effect was not significant in separate variance analysis in each year which indicates the effect of year on genotypes reaction and means different stability of the genotypes. The interaction of genotype × environment were studied in detail by AMMI model. According to AMMI analysis, Okapi had the highest adaptability in experimental environments. BAL- 92, HW-92-4, BAL-90-3 and BAL- 92-1 had good adaptability in Kermanshah, Karaj and Hamedan, too. The genotypes BAL- 92- 3, BAL-92-11, HW-92-3 and Nafis were well compatible to Khoy and Nima and Ahmadi compatible to Zarghan. Also, GGE biplot model was used for more analysis. The results of the analysis revealed that Nafis had the lowest distance to ideal genotype and then, HW-92-1, BAL-92-6 and BAL-92-1 placed in next categories.

In present research, Nafis variety had the highest yield than to other experimental genotypes addition to suitable compatibility to all environments and then, HW-92-1, BAL-92-6 and BAL-92-1 showed more genetic potential for yield and compatibility than to others. It was found in the study that multivariate methods for compatibility studies were efficient due to simultaneous detection of different factors effects on a suitable genotype in canola. One of the results of the research was that the genotype effect was included a small part of variance change and the most of the change belong to environment factors. For the reason, GGE biplot was more functional method to delete environment effects in the results for compatibility studies in canola.

Cumin (Cuminum cyminum L.) is an aromatic, annual herbaceous plant from the Apiaceae family. Cumin is one of the tolerant medicinal plants to water deficit conditions with a short growth period, which can produce acceptable and economic yield under water deficit conditions. This plant is currently the second most used spice in the world after pepper (Pepper nigrum), suggesting its high importance. This experiment aimed to evaluate ecotypes, planting dates, and relationships between ecotypes and planting dates and to identify high-yield cumin stable ecotypes using AMMI and GGE bi-plot methods.

The stability of the grain yield of seven cumin ecotypes (Bardascan, Birjand, Taibad, Davarzan, Ferdos, Salehabad, and Nehbandan) was investigated in an experiment based on randomized complete blocks design with three replications in four planting dates (November 6, December 6, January 5, and February 5) at the research farm of the Southern Kerman Agricultural and Natural Resources Research and Education Center during 2020-2021 crop year. The seeds were planted by hand on the rows at a depth of 1 cm with a distance of 5 cm from each other. The distance between the rows was 20 cm. Seeds were irrigated with the drip method, and weeds were controlled by hand. The plants were harvested after physiological maturity, and the grains were separated from other organs and recorded as the grain yield of each plot. The yield stability of the ecotypes was analyzed using the AMMI model, and the first and second interaction components of AMMI (IPCA1 & IPCA2) were used as stability parameters for the ecotypes and the planting dates (environments). The GGE bi-plot method was used to analyze the obtained data, interpret the ecotype and planting date interaction, and determine mega-environments.

The results of compound variance analysis showed significant effects of the environment (planting date), ecotype, and the interaction of planting date × ecotype. Due to the significance of the environmental effect and the justification of 80% of the variation by this effect, as well as the significance of the planting date × ecotype, stability analysis of grain yield was conducted for ecotypes in different planting dates. The results of AMMI analysis showed that the two components, IPCA1 (AMMI 1) and IPCA2 (AMMI 2), included 93.56% of the total variance of the genotype × environment interaction. The AMMI stability value (ASV) was used for the simultaneous use of all components. The ASV statistic indicated that the Nehbandan ecotype with the lowest value (1.91) was the most stable ecotype, and the Ferdos and Salehabad ecotypes with the highest ASV value were the most unstable ecotypes. The results of the GGE biplot method revealed that the first and second principal components accounted for 93% of the total variation related to the ecotype and planting date interaction, which indicated the validity of the GGE-biplot analysis. Based on GGE biplot results, planting dates of November 6 and December 6 were in the same megaenvironment and produced the highest grain yield. Similarly, the two planting dates of January 5 and February 5 were in the same megaenvironment and produced the lowest grain yield. The graphs showed that the Ferdos ecotype had high special adaptability with the planting dates of November 6 and December 6, and the Birjand and Davarzen ecotypes had high special  adaptability with the planting dates of January 5 and February 5. The Taibad, Salehabad, and Nehbandan ecotypes had no special compatibility with the studied planting dates. Ferdos and Birjand ecotypes had a higher average grain yield than the other ecotypes, but they were placed in the group of ecotypes with low stability due to their distance from the AEC line. The Nehbandan was the most stable ecotype due to its adjacency to the AEC line, but it produced a low grain yield. In addition, the results of the GGE bi-plot showed that the Birjand was the closest ecotype to the ideal genotype hence it was considered the most desirable ecotype. Bardascan, Ferdos, and Daverzan ecotypes were the ecotypes in the next ranks in terms of desirability, and Salehabad and Taibad ecotypes were identified as undesirable ecotypes due to their greatest distance from the ideal genotype.

The results of compound variance analysis showed significant effects of the environment (planting date), ecotype, and the planting date × ecotype interaction effect. The biplot results of AMMI analysis showed that the Nehbandan ecotype was the most stable and Ferdos and Salehabad ecotypes were the most unstable ecotypes. This was also confirmed through the ASV. The results of the GGE bi-plot indicated that the planting dates of November 6 December 6 with the highest average grain yields were located in a mega-environment, and the two January 5 and February 5 planting dates, with the lowest average grain yields, were also located in the same mega-environment. This can indicate the determination of the time range of the planting date to obtain an acceptable yield, although the yield decreased with a delay in planting. Finally, the figure showed that the Nehbandan was the most stable ecotype with below the average yield, and Birjand was the most ideal ecotype. Therefore, it can be concluded that the Birjand ecotype cultivation not only produces a high yield but also has high relative stability.

Accurate study on the nature of genotype by environment interaction enables the identification of stable and adaptable genotypes for breeders and it has always been an important issue to address by breeders for the production and release of new sustainable and high-yielding varieties in breeding projects. To study the stability of yield and yield components of seven promising lines of mungbean as well as the check (Parto), three experiments were conducted in an RCBD with three replications in three regions of the country, i. e. Khuzestan (Agricultural and Natural Resources Research and Education Center of Safi Abad, Dezful), Golestan (Agricultural Experiment Station of Gonbad) and Fars (Agricultural Research Station of Zarghan) in 2014-2015 for two years. Each plot consisted of four four-meter-long rows. The traits studied were: the number of branches per plant, pods per plant, seeds per pod, 100-seed weight, plant length, and seed yield. A combined analysis of variance was performed. Because of the significant genotype by environment interaction and, as a result, the different responses of genotypes to various environments, stability indices were calculated to determine the stability of genotypes. To do this, Romer's environment variance, Francis and Kannenberg's environmental CV, and the regression coefficient of Finley and Wilkinson were determined. AMMI analysis was also performed. Based on Francis and Kannenberg's environmental CV and coefficient of Finley and Wilkinson genotypes VC6368 (46-40-4) and VC6371-94, and VC6469 and VC3960 were stable, respectively. Based on the CV of intra-location, VC3960-88 and VC6368 (46-40-4) were stable. According to stability analysis results and considering seed yield, seed weight and other suitable characters, genotypes VC6371, VC6368 (46-40-4) and VC3960-88 were selected for further studies.

Due to inadequate agricultural water in warm area of Iran, Identification and introduction of stable and adaptable genotypes with high grain yield in non-stress and drought stress conditions is the most important issue in durum wheat breeding program. In order to study adaptability and grain yield stability of durum wheat genotypes in non-stress and terminal drought stress conditions, 19 durum line/cultivars along with Mehregan, as a check commercial bread wheat cultivar, were used. Genotypes assessed in four locations, i.e. Ahvaz and Darab for drought stress conditions and Dezful and Khorramabad for normal conditions in two cultivation years, 2017-18 and 2018-19. The experiments were conducted in a RCBD design with three replications. For grain yield, combined analyses of variance and stability analysis using parametric and non-parametric methods such as AMMI, Ranking and STDEV of Ranking were undertaken. Based on the results, Genotypes with specific adaptation were included: D-96-4 and D-96-6 for Khorramabad; D-96-5, D-96-9 and D-96-18 for Ahvaz; D-96-3(Mehregan) and D-96-16 for Darab and Dezful. Genotypes D-96-11, D-96-17, D-96-18 and D-96-20 were selected as stable and wide adaptable based on mean yield and ASV parameter in AMMI1 model and genotypes D-96-13 and D-96-18 were selected based on ranking and STDEV of ranking. Finally, based on the results of two methods, Genotype D-96-18 with high grain yield and the low G×E interaction was selected as a superior durum wheat line in both non-stress and drought stress conditions.

Knowlege of genotype × environment interactions helps breeders to select the best genotypes for different regions.The main objective of this research was to obtain high yielding durum wheat genotypes selected from several elite lines so that can be compatible to climatic conditions of the tropical and subtropical rainfed regions and superior to check varieties. In this research, 16 durum wheat genotypes selected from advanced yield trials along with two check cultivars, Dehdasht and Seimareh, were studied in a randomized complete block design with four replications for three cropping seosons (2013-2016) in four locations (Gachsaran, Gonbad, Khoramabad and Moghan). Combined analysis of variance indicated that main effects of genotype, year and location and interactions of year × location and genotype × year × location were significant at 1% probability level. AMMI analysis of variance also showed that the first four principal components were significant and explained about 81% of the total variance of genotype × environment interaction. The highest grain yield was observed in genotype 6 (3592 kg.ha-1) and the lowest in genotype 18 (3229 kg.ha-1). Environments 10, 8, 11 and 12 with long vectors had high resolution ability. The results of this study based on AMMI indices showed that genotypes 3, 5, 6, 13 and 15 with higher grain yield than the total mean in most environment were stable and superior genotypes in this experiments. Among them, genotype 13 with suitable general adaptability can be a promising genotype and a candidate to introduce a new cultivar for tropical and subtropical rainfed areas.

Sorghum is an important forage crop used as silage, fresh forage and dry forage. To evaluate the yield stability of 16 genotypes; cultivars, lines and hybrids, of forage sorghum, experiments were conducted using randomized complete block design with three replications during 2016-17 at Karaj, Isfahan, Gorgan, and Mashhad field stations, Iran. The results of combined analysis of variance showed that the effect of location, year, genotype and their interactions were significant on forage yield. Mean comparison showed that hybrids No. 8 (Siloking) and 12 (FGCSI12) were superior to other genotypes with 130.6 and 127.5 t.ha-1 of fresh forage yiled, and 26.97 and 27.17 t.ha-1 of dry forage yield, respectively. The hybrid No. 2 (Speedfeed), No. 9 (PHFS-27), No. 5 (Juicy Sweet BMR SSH.1) and No. 13 (Sucarose- Photo- BMR) had also high fresh forage yield of 105.6, 107.8, 108.2 and 107t.ha-1, respectively. The analysis of variance by AMMI method and fitting of principal components to the interaction effects of genotype and environment showed that the two principal components were significant for fresh and dry forage yield. According to the AMMI model and AMMI stability value (ASV), genotypes No. 8 (Siloking) and 12 (FGCSI12) with the high yield and stability were identified as suitable genotypes.

The objectives of this study were to analyze genotype by environment (GE) interactions on the seed yield of 19 safflower genotypes by the additive main effects and multiplicative interactions (AMMI) model and to evaluate genotype (G), environment (E) and GE interactions using statistics parameter i.e. AMMI stability value (ASV) and ecovalence (W2i). The trials were conducted at three locations: Shirvan, Sararood and Khoramabad for two successive cropping seasons (2010-12). Main effects due to E, G, and GE interactions as well as two first interaction principal components (IPCA1-2) were found to be significant. AMMI biplot was able to distinguish stable genotypes and environments, with high and low genotype discrimination ability. The genotypes 6 and 10 with higher mean seed yield than total mean were to be most stable genotypes, while the genotypes 18 and 3 with the highest contribution to GE interaction were to be most instable.

In order to evaluate oil yield stability in oilseed rape genotypes and genotype´environment interaction, 22 oilseed rape genotypes were evaluated using RCBD design with 4 replications in Agricultural Research Station of Islam Abad-e-Gharb during 3 cropping seasons in normal and delayed sowing date conditions. Combined variance analysis showed that genotype, environment and genotype´environment interaction were statistically significant. Proportion of environment effect followed by genotype´environment interaction was so greater than genotype effect. Based on biplot of two first genotype´environment interaction components, that explains proportion of oilseed rape genotypes in genotype´environment, genotypes Parade, Kristinia, Goliath, Shiralee, Kimberly and Elect were located next to center of biplot so that had the least proportion for the Genotype´Environment effect and were stable from the viewpoint of oil production. AMMI stability values (ASV) of genotypes confirmed the above mentioned results. Hyola401 and Zarfam were located away from the center of biplot so that were unstable genotypes for oil production. Biplot display indicated that environments E1, E3 and E4 had the most scores for genotype´environment interaction whereas E2 had the least proportion in genotype´environment interaction effect. Dissimilarity in ranking of selected genotypes from the viewpoint of oil yield based on other stability parameters suggests that it would be better using of numerous stability parameters to reliable and accurate selection of stable genotypes.

In order to determine yield stability of 20 durum wheat genotypes, a trial was carried as randomized complete block design with four replications in four years during 2009- 2014 in Sarab-Changae station of Khorramabad, Iran. Analysis of combine variance showed that environment, genotype and genotype × environment interaction were significant at 1% probability level. Variance analysis of additive main effects and multiplicative (AMMI) showed that two IPCAs were significant at 1% probability level. Also, AMMI stability value (ASV) was used for simultaneously using information obtained from two significant components of AMMI. According to ASV index, genotypes G2, G12, G14 and G19 had the lowest ASV value and were known as the most stable genotypes. Genotype G9 had the highest ASV value and distance from the center of Bi-plot. Therefore, it was known as stable genotype. Also, Genotype G9 had the highest grain yield. Using cluster analysis of genotypes based on ASV, genotypes divided to three groups that genotypes of each group were similar as stable.

Title: Stability analysis of seed yield in safflower genotypes
Safflower (Carthamus tinctorius L.) is an annual plant and has been used for dye, food coloring, medicine, vegetable, hay, birdseed, edible oil and both fresh-cut and dried flowers. Spatial variability is inherent in all field experiments. The relative performance of lines varies with environment, and this genotype × environment (G×E) interaction hampers selection of lines for cultivation over a wide region. The objectives of this study were to analyze genotype by environment (GE) interactions on the seed yield of 30 safflower genotypes by the additive main effects and multiplicative interactions (AMMI) model and to evaluate genotype (G), environment (E) and GE interactions using statistics parameter i.e. AMMI stability value (ASV) and ecovalence (W2i).
Thirty safflower genotypes were evaluated over a three year period (2012-15) across two research stations in Iran and there were 6 growing environments in total. The individual trials were conducted using a randomized complete block design with 3 replications. The experiments were planted in autumn of each year. Each genotypes was sown in plots (9 m2) of 6 rows, 5-m long with spacing of 30-cm between rows. Normal agronomic operations like weed and pest control were done. Each plot was harvested leaving 30 cm on both ends of the rows in order to exclude border effects. Simple analyses of variance in all environments were done for seed yield, separately. Combined analysis of variance was performed assuming genotype effect as fixed, environment effect as random factor.
The results of combined analysis of variance showed that there were highly significant differences (P In this study, according to the AMMI model, the G2 and G4 were the genotypes with the best adaptation and superior in all environments.
Acknowledgements: I would like to thank E. Neyestani and other members of the Agricultural and Natural Resources Research and Education Center of Khorasan Shomali for their kind advices. The collaborations of A. Hakimi, A. Saburi and M. Hakimi at Shirvan agricultural research station are greatly acknowledged.

The objectives of present study was analyzing genotype by environment (GE) interaction on the grain yields of 97promising bread wheat lines (Triticum aistivum L. (along with three control varieties under salt stress and normal conditions using additive main effects and multiplicative interaction (AMMI) model .The trials were conducted at four research locations including Yazd and Mahan of Kerman (normal conditions) and Ardakan and Ekhtiarabad of Kerman (salt stress conditions). Based on results of AMMI analysis, main effect due to E and GE interaction as well as two first interaction principal components were found to be significant (P

The objectives of this study were to analyze genotype by environment (GE) interactions effects on the forage yield of 8 corn hybrids by computing AMMI analysis and evaluating genotype (G), environments (E) and GE interactions using stability parameter i.e., AMMI stability value(ASV) and Wrick,s ecovalance (W2i). Experiments were conducted at five regions (karaj, Neysahbur, Gorgan, Brojerd and Isfahan Research Station), during 2005-2006 crop season. The result’s of AMMI analysis for forage yield indicated that the Genotype (G) main effects, environment (E) and GE interactions as well as three first interaction principal components (IPCA1-3) were significant. AMMI biplot was able to distinguish stable genotypes and environments with high discrimination ability from low one,s. AMMI ANNOVA selected different hybrids for each regions: No. 5, 8 and 1 for Karaj , 5, 2 and 8 for Neyshabur, 1 and 5 for Gorgan, 8, 5and 1 for Brojerd and finally hybrids No. 5, 8 and 2 for Isfahan. According to the AMMI analysis and the parameters investigated, genotype 5, with forage yield higher than grand mean, was the most stable hybrid and with high adaptation to the environment was studied, meanwhile Hybrids No. 7 and 8 had the greatest influence on the interaction but were the unstable genotypes tested in all years and areas.

The development of high yielding cultivars with wide adaptability is the ultimate aim of plant breeders. However, attaining this goal is made more complicated by genotype-environment interactions. The genotype by environment interaction is a major problem in the study of quantitative traits because it complicates the interpretation of genetic experiments and makes predictions difficult, also it reduces grain yield stability in different environments. Multi-environment trials are often analyzed to assess the yield stability of genotypes. Additive main effects and multiplicative interaction (AMMI) model proved to be a powerful tool in diagnosing genotype × environment interaction patterns. The AMMI statistical model has been widely used to explain complicate G×E interaction, to enhance selection efficiency and to ensure genetic gain from selection. The objective of this study was to investigate the response of the lines in studied locations and to identify lines adapted to the test environments.

Order to investigate response of wheat lines to different environmental conditions and determination of yield stability, this study was conducted by 76 recombinant inbred lines derived the cross between Roshan× Superhead based on randomized complete block design with two replications in five environments. The trials were performed at five locations in Kerman, Jopar, Mahan, Yazd and Ardakan. In order to evaluate the interaction and determine the stable lines, the stability analysis was done using AMMI methods. The data were subjected to statistical analysis using SAS and Excel software.

The results of the combined analysis of variance revealed significant differences of grain yield among lines, environment and also line× environment interaction (P<0.01). Since interaction of line × environment was significant, stability analysis was performed using AMMI analysis in order to more accurate evaluate and status of lines stability. The results of Ammi2 bi-plot showed that the least distance from the center of bi-plot with minimum interaction were identified lines 3, 33, 22, 9, 271, 36, 309, 200, 114, 11, 264, 320, 194, 20, 280, 1, 26, 250, 19, 18, 25, 5, 322, 169, 152, 161 and 32 as stable lines. Lines 258, 218, 176, 48, 82 and 314 for Yazd and line 225 for Ardakan indicated the best response and they had private adaptation to these places.

Overall, based on results of this experiment, among evaluated lines, were introduced lines 9, 3 and 22 based on AMMI1, AMMI2 and AMMI stability value (ASV) parameter as general stable lines. Therefore, the identified promising lines can be recommended to complementary studies for introduce to farmers.

Yield stability of 17 genotypes including eight of tritipyrum lines، five promising triticale lines and four Iranian bread wheat varieties were studied in a randomized completely block design with three replications in seven environment during growing seasons of 2001-2002، 2002-2003، 2005-2006 and 2010-2011 in three locations. Analysis of additive main effects and multiplicative interaction effects (AMMI) showed that environment main effects and genotype × environment interaction were highly significant، so 89. 49 percent of its sum of squares explained by the first three principal components (IPCI). Biplot results of genotypic and environmental components of interaction in the first، second and third principal components and mean yield of genotypes and environments، stability parameters of SIPC3 and EV3 in AMMI3 model and pattern analysis showed bread wheat cultivars had the unstable reaction to weak stability، triticale lines {4115، 4108} and Kavir wheat cultivar showed the specific adaptation to the sixth environment (Kerman) but، tritipyrum lines had the most stable reaction in different environments and combined primary line {(Ka/b) (Cr/b) -6} showed the specific adaptation to the Neyriz area. Combined primary tritipyrum line (Ka/b) (Cr/b) -5 with the higher yield than the mean yield and good general adapatibility was known the best genotype that can be used as a pasture line for further study forage and grain production

The objectives of this study were to analyze genotype by environment(GE) interactions on the forage yield of 15 sorghum lines by the additive main effects and multiplicative interaction(AMMI) model and to evaluate genotype(G), environment(E) and GE interactions using stability parameter i.e., AMMI stability value(ASV) and Wrick, s ecovalance (W2 i). The trials were conducted at two research station(Neyshabur and Torogh Mashhad) for three successive years2007-2009(). The result’s of AMMI analysis for forage yield indicated that the Genotype main effects, environment, and GE interactions as well as two first interaction principal components (IPCA1-2) were significant. AMMI biplot was able to distinguish stable genotypes and environments with high and low genotype discrimination ability. The genotypes 5 and 15 with higher mean yield than total mean were to be most stable genotypes, while the genotype 1 and 3 with the highest contribution to GE interaction, were to be the most instable. The result of recommended genotypes based on AMMI analysis showed that the genotypes 1 and 3 were highly adapted to Neyshabur and genotypes 5 and 15 were adapted to Mashhad environments during this study.

This study was conducted to determine the yield stability of 10 cold region bread wheat genotypes, using a randomized complete block design with 3 replications for 4 years (2009-2013) at the Agricultural and Natural Resources Research Center of East Azerbaijan, Iran. Combined analysis of variance showed significant differences (p

The objectives of this study were to analyze genotype by environment (GE) interactions on the grain yields of 18 promising durum wheat lines selected from joint project between Iran and ICARDA along with two national durum (Zardak) and bread wheat (Sardari) checks by the additive main effects and multiplicative interaction (AMMI) model and to evaluate genotype (G)، environment (E) and GE interactions using statistics parameters i. e.، AMMI stability value (ASV) and ecovalence (W2). The trials were conducted at four locations، representative for multi-location durum yield trials، in Iran under rain-fed (unfavorable) and supplemental irrigation (favorable) conditions for three successive cropping seasons (2005-07). Main effects due to E، G and GE interaction as well as three first interaction principal component axes (IPCA 1-3) were found to be significant (P <0. 01). AMMI biplots were able to distinguish genotypes، with wide and specific adaptation، and environments، with high and low genotype discrimination ability. The genotype G9 with the highest mean yield was to be most stable genotype، while the G16، G17 and G18 with the highest contribution to GE interaction were to be most instable. The results of recommended genotypes based on AMMI analysis showed the G15، G9 and G12 were highly adapted to rain-fed and supplemental irrigation conditions of Kermanshah. The all genotypes from ICARDA (G16، G17، G18) were highly adapted to both rain-fed and irrigation conditions of Ilam. The best genotypes for rain-fed condition of Maragheh were G15 and G1 while the G15 and G16 were the best for supplemental irrigation condition. The genotypes G15، G9 and G1 were the best for Shirvan. In this study the G15 was the genotype with the best adaptation in three locations of Sararood، Maragheh and Shirvan.

In order to study effect of G×E interaction on yield of genotypes in three environment. These genotypes were planted using RCB design with 3 replications in Esfahan, Kermanshah and Varamin. The results of combined analysis of variance for yield showed significant difference for genotype, location and G×E interaction effects. Because of significant G×E interaction stability analysis methods AMMI were used for determination of desirable genotypes for yield. Based on AMMI method, genotypes No. 5, 6, 11, 15, 16 and Marvdasht variety showed general adaptability and genotypes 17 and 18 recognized to have specific adaptability to Varamin and genotypes No. 4, 19 and 20 had specific adaptability to Kermanshah. Overall, based on stability analysis on yield genotypes No. 15, 16 and Marvdasht with having good adaptability were determined as desirable genotypes.