ADAPTIVE PROPERTIES OF NEW OAT VARIETIES IN THE MIDDLE VOLGA REGION

2020 ◽  
pp. 100-107
Author(s):  
V.G. Zakharov ◽  
◽  
О.G. Mishenkina ◽  
Keyword(s):  
Stability Index ◽  
Volga Region ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Average Yield ◽  
Middle Volga Region ◽  
Biplot Analysis ◽  
Middle Volga ◽  
Ideal Genotype ◽  
The Ideal

The research was conducted in 2016-2020 in the Ulyanovsk region. The aim was to assess the yield and genotype-environment interaction of varieties and promising lines of spring oats in the Middle Volga region. The source material was 9 varieties and 4 promising lines of oats created in the Ulyanovsk RAS. Contrasting moisture and temperature conditions provided differentiation of the studied material by yield and level of adaptability. Two-factor dispersion analysis revealed significant differences between genotypes in yield, media, and their interaction. The highest average yield among filmy varieties was formed by the Dragun variety (42.7 c/ha), the lowest by Vsadnik (37.0 c/ha). Naked varieties Azil and Griva showed the same yield (24.3 c / ha). The share of influence of environmental conditions (years) was 51.6%, varieties-33.8%. According to GGE biplot analysis, 2016, 2017, and 2020 were characterized by a high differentiating ability, while 2018 was the most representative. A rank assessment based on six adaptive criteria (regression coefficient (bi), stability index (S2 j), coefficient of variation (Vc), Martynov ultrastability (Hi), ultrastability (Hom) and selection value of the variety (Sc) V.V. Khangildin revealed the advantage of Grum (17), Dragun (22), Konkur (18), and Kenter (24) varieties, while Troika (64) had the lowest rank. Evaluation and ranking of genotypes by average yield and stability in different environments using GGE biplot analysis relative to the “ideal” genotype showed that the highest average yield was in the Dragun variety, which also has high stability, and practically corresponds to the «ideal» genotype. Next are the lines 479/11, 549/15, and the varieties Grum and Konkur, which are close to the « ideal» genotype. Less stable is the 537/15 line, which produced yields less than expected in 2016, 2018 and 2019 environments and more in 2017 and 2020. Biplot analysis of the yield of film varieties confirmed the results of the rank assessment for adaptability parameters, adjusting the location in the group of the best varieties.

scholarly journals Adaptability and phenotypic stability of sugarcane clones

2018 ◽  
Vol 53 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Jiuli Ani Vilas Boas Regis ◽  
João Antonio da Costa Andrade ◽  
Adriano dos Santos ◽  
Aparecido Moraes ◽  
Rafael William Romo Trindade ◽  
...  
Keyword(s):  
Block Design ◽  
Saccharum Officinarum ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Phenotypic Stability ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Ideal Genotype ◽  
The Ideal

Abstract: The objective of this work was to select superior sugarcane (Saccharum officinarum) clones with good stability and adaptability, considering the genotype x environment interaction in two productive cycles. Twenty-five early clones plus five control clones were evaluated during two cuts (ratoon cane and plant cane) in 24 environments. A randomized complete block design was used, with three replicates. Tons of stems per hectare and tons of pol per hectare were evaluated. To verify adaptability and stability, the bisegmented regression and the multivariate (AMMI and GGE biplot) methods were used. According to the three methods, which are complementary regarding the desired information, the most promising clones in terms of stability and general adaptability are G5, G12, and G13; the last two are closest to the ideal genotype. The G13 clone is highly productive in favorable and unfavorable environments, presenting the highest averages for ton of stems and pol per hectare. The G3, G4, G10, G15, G17, G18, G22, G23, G25, G26, and G30 clones are not recommended for the 24 evaluated environments.

scholarly journals GGE-Biplot analysis of multienvironments yield trials of Egyptian cotton (Gossypium barbadense L.,)

2021 ◽  
Vol 2 (1) ◽  
pp. 61
Author(s):  
Ahmed Mohamed Abdelmoghny ◽  
Reham Helmy Gibely ◽  
Mariz Sobhy Max ◽  
Emad Abdelazeim Amer ◽  
Salah Saber Hassan
Keyword(s):  
Block Design ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Cotton Yield ◽  
Comparative Performance ◽  
Genotype X Environment ◽  
Biplot Analysis ◽  
Cotton Genotypes ◽  
Egyptian Cotton ◽  
The Ideal

GGE biplot technique is one of the most appropriate methods for investigating the genotype x environment interaction. A total of twenty one Egyptian cotton genotypes were tested to evaluate stability and adaptability during two agricultural years at four environments using randomized complete block design with six replications. The analysis of variance showed that the effect of environments, years, environment x years, genotypes, and genotype x environment was highly significant for lint cotton yield / plot. Also, the interaction effect due to G x Y x E was also significant. The variation of sum of squares was divided for genotypes, years, environments, and GEI to 25.261 %, 0.574 %, 36.660 % and 3.396 % respectively of total variance for lint cotton yield / plot. The analysis of environments revealed that the cotton genotypes showed maximum mean values for lint cotton yield in El-Gharbiya then Kafr El-Sheikh. Comparative performance of genotypes through genotype by environment interaction (GEI) revealed that genotypes produced maximum lint cotton yield during 2019 at El-Gharbiya followed by Kafr El-Sheikh. The results of biplot analysis showed that the first and second principle components accounted 87.96 % and 5.86 %, respectively, and in total of 93.82 % lint cotton yield variance. The polygon view led to the identification of top six genotypes. G6, G7 and G15 were the ideal genotypes which has the highest mean performance coupled with maximum stability. The ideal genotype could be used as a benchmark for selection. While, the desirable genotypes was (G2, G4 and G5) characterized by high mean yield but less ideal genotypes. E2 was the ideal environment across four environments which have the highest ability to discriminate the genotypes. Four environments had long vectors with small angles (acute) are highly correlated and clustered as one mega-environment. The cotton breeder should evaluate the genotypes under new environments to reduce the costs.     

scholarly journals GGE Biplot Analysis of Yield Stability in Multi-environment Trials of Lentil Genotypes under Rainfed Condition

2013 ◽  
Vol 5 (2) ◽  
pp. 256-262 ◽  
Author(s):  
Rahmatollah KARIMIZADEH ◽  
Mohtasham MOHAMMADI ◽  
Naser SABAGHNI ◽  
Ali Akbar MAHMOODI ◽  
Barzo ROUSTAMI ◽  
...  
Keyword(s):  
Block Design ◽  
Gge Biplot ◽  
Average Yield ◽  
Ge Interaction ◽  
Rainfed Condition ◽  
Yield Variation ◽  
Randomized Complete Block Design ◽  
Ideal Genotype ◽  
Genotype G1 ◽  
The Ideal

This investigation was done to study GE interaction over twelve environments for seed yield in 18 genetically diverse genotypes. Grain yield performances were evaluated for three years at four locations in Iran using a randomized complete block design. The first two principal components (IPC1 and IPC2) were used to create a two-dimensional GGE biplot that accounted percentages of 49% and 20% respectively of sums of squares of the GE interaction. The combined analysis of variance indicated that year and location were the most important sources affecting yield variation and these factors accounted for percentages of 50.0% and 33.3% respectively of total G+E+GE variation. The GGE biplot suggested the existence of three lentil mega-environments with wining genotypes G1, G11 and G14. According to the ideal-genotype biplot, genotype G1 was the better genotype demonstrating high mean yield and high stability of performance across test locations. The average tester coordinate view indicated that genotype G1 had the highest average yield, and genotypes G1 and G12 recorded the best stability. The study revealed that a GGE biplot graphically displays interrelationships between test locations as well as genotypes and facilitates visual comparisons.

scholarly journals YIELD PROPERTIES AND ADAPTABILITY OF SAFFLOWER (CARTHAMUS TINCTORIUS) VARIETIES IN THE CONDITIONS OF FOREST-STEPPE OF THE MIDDLE VOLGA REGION

2020 ◽  
Author(s):  
Т.Я. Прахова ◽  
А.Н. Кшникаткина ◽  
А.А. Щанин
Keyword(s):  
Stability Index ◽  
Carthamus Tinctorius ◽  
Climatic Conditions ◽  
Volga Region ◽  
High Yield ◽  
Forest Steppe ◽  
Scientific Center ◽  
Middle Volga Region ◽  
Middle Volga ◽  
The Stability

Целью исследований являлась оценка урожайных свойств и основных параметров адаптивности сортов сафлора красильного в агроклиматических условиях лесостепи Среднего Поволжья. Исследования проводили в 2017-2019 гг. на опытном поле Пензенского института сельского хозяйства. Объектом исследований являлись шесть сортов сафлора красильного. Метеорологические условия периода вегетации характеризовались как засушливые, где гидротермический коэффициент (ГТК) колебался от 0,4 до 0,82 единиц. Индекс условий среды варьировал в пределах от - 0,61 до 0,13 единиц. Наиболее оптимальные условия для развития культуры сложились в 2019 году (Ii – 0,13), где сформировалась наиболее высокая урожайность семян по всем сортам 1,34-1,53 т/га. Высокий урожай отмечен у сортов Заволжский 1 и Александрит, продуктивность которых составила 1,37 и 1,42 т/га, соответственно. Коэффициент изменчивости урожайности составил 6,58-14,19 %. Низкая вариация урожая по годам отмечена у сортов Ершовский 4 и Астрахансий 747 (6,58-7,71 %), что говорит об их стабильности. У данных сортов был наиболее высокий показатель уровня стабильности сорта (ПУСС) и составил 0,26 и 0,22 соответственно. Сорта Заволжский 1, Астраханский 747 и Александрит сформировали крупные семена, масса 1000 семян их достигала в среднем 41,4-41,6 г. Содержание жира в семянках колебалась в пределах 23,70-27,45 %. В условиях Пензенской области лучшими по экологической адаптивности были сорта Заволжский 1 и Александрит, параметры адаптивности которых составили bi = 0,99-1,01; σdr2 = 0,09. Наиболее высокие значения индекса стабильности (0,17 и 0,20) имели сорта Александрит и Ершовский 4, что показывает их большую приспособленность к конкретным условиям. The purpose of the research was to evaluate the yield properties and the main parameters of adaptability of safflower (Carthamus tinctorius) varieties in the agricultural climatic conditions of forest-steppe of the Middle Volga Region. The research was conducted in 2017-2019 on the experimental field of the Federal Scientific Center of Bast Crops. The object of research was the six varieties of safflower (Carthamus tinctorius). Meteorological conditions of the growing season can be characterized as dry; the hydrothermal coefficient (HTC) ranged from 0.4 to 0.82 units. The index of environmental conditions varied from - 0.61 to 0.13 units. The most optimal conditions for the growth of culture were formed in 2019 (Ii – 0.13), where the highest seed yield for all varieties was formed – 1.34-1.53 t/ha. Zavolzhskij 1 and Alexandrit varieties were registered with the high yield, whose productivity was 1.37 and 1.42 t/ha, respectively. The coefficient of yield variability was 6,58-14,19 %. On an annual basis, the low variation in yield was observed in the varieties Ershovskij 4 and Astrahanskij 747 (6.58-7.71 %). This fact indicates the stability of these varieties. These varieties had the highest variety stability level and amounted to 0.26 and 0.22, respectively. Varieties Zavolzhskij 1, Astrahanskij 747 and Alexandrit formed large seeds. The weight of 1000 seeds reached 41.4-41.6 g on an average. The fat content in the achenes ranged from 23.70-27.45 %. In the conditions of the Penza region, in terms of environmental adaptability, the best varieties were Zavolzhskij 1 and Alexandrit, whose adaptability parameters were bi = 0.99-1.01; σdr2 = 0.09. The varieties Alexandrit and Ershovskij 4 had the highest values of the stability index (0.17 and 0.20). This fact shows their greater adaptability to specific conditions.

scholarly journals Multi-Locational Evaluation of Medium-Staple Cotton Genotypes for Seed-Cotton Yield under the Middleveld Agro-Ecological Zones of Zimbabwe

2020 ◽  
Author(s):  
Marco Mare ◽  
Blessing Chapepa ◽  
Washington Mubvekeri
Keyword(s):  
Analysis Of Variance ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Cotton Yield ◽  
Cotton Production ◽  
Seed Cotton ◽  
Yield Performance ◽  
Seed Cotton Yield ◽  
Biplot Analysis ◽  
The Ideal

Abstract BackgroundThe Zimbabwean national cotton breeding programme has the mandate to develop superior cotton (Gossypium Hirsutum) varieties with good field performance and high fibre properties. Cotton productivity in Zimbabwe has remained very low, with national average seed cotton yield record of 650kg ha-1 (AMA Report, 2019) compared to the potential 2000kg ha-1. Since this is a result of many biotic and abiotic factors, field experiments laid in a Randomized Complete Block Design were conducted on ten genotypes (seven test genotypes and three check varieties) from 2012 to 2019 across 13 diverse locations in Zimbabwe to evaluate cotton yield performance, stability and adaptability by Analysis of Variance (ANOVA) and Genotype and Genotype by Environment Interaction (GGE) Biplot methods. ResultsThe Analysis of Variance indicated significant (P< 0.001) effects of Genotype (G), Environment (E) and their Interaction (GE). The highest percentage of variation was explained by E/G/GE (60.34%) while G/E+GE together explained the rest of the variation (<40%). Joint effects of G and GE were partitioned using the GGE biplot analysis explaining total of 59.08% (PC1 = 36.96% and PC2 =22.12%) of the GGE sum of squares. The biplot analysis revealed that candidates 917-05-7, TN96-05-9, 912-05-1 and GN 96 (b)-05-8 were the ideal and stable genotypes. The candidate variety 917-05-7 significantly (P< 0.001) showed superior yield performance over checks CRI-MS1 and CRI-MS2 recording 5% and 5.5% yield increase respectively. Candidate 917-05-7 recorded a higher earliness index (78.11%) over checks CRI-MS1 and CRI-MS2 (77 and 76% respectively) thus indicating potential attributes for good cotton production with more pick-able bolls earlier than the current commercial varieties.ConclusionCandidate 917-05-7 has been identified as the ideal genotype in terms of high yielding potential, and stability hence recommended for commercial release and use as breeding parent for future breeding programs.

scholarly journals AMMI and GGE Biplot Analysis for G×E Interaction of Wheat Genotypes under Different Irrigation and Sowing Condition

2021 ◽  
Author(s):  
Ragini Dolhey ◽  
V.S. Kandalkar
Keyword(s):  
Concentric Circle ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Wheat Genotypes ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Significant Difference ◽  
Ammi Model ◽  
Ideal Genotype ◽  
Main Effects

Background: AMMI analysis showed that genotype, environment and genotype-environment interaction had a highly significant variation for 20 wheat genotypes analyzed over four environments. ASV ranking revealed G15 (RVW-4275) as a stable genotype while G3 (RVW-4263) and G9 (RVW-4269) as unstable genotypes. GGE biplot analysis for environment interrelationship revealed that E1 (Irrigated timely sown), E2 (Restricted irrigation timely sown) were correlated forming one group and E3 (Irrigated late sown), E4 (Restricted irrigation late sown) were correlated forming another group. Polygon view showed that G9 (RVW-4269) was found stable and better performing in E1, G12 (RVW-4272) was stable under the E2 environment and G3 (RVW-4263) was stable in E3. Ideal genotype graph with concentric circles having ideal genotype at the center and genotypes G12(RVW-4272), G18(RVW-4278), G13(RVW-4273), G11(RVW-4271), G10 (RVW4270) present in a concentric circle close to the center can to considered as stable and desirable genotypes.Methods: In the present study the plant material comprised of 20 wheat genotypes. These genotypes were randomly allocated in different replication under different environmental condition. The field trial was evaluated at four different environments viz., E1- Irrigated timely sown, E2- Restricted irrigation is timely sown (RI- 2 irrigation), E3- Irrigated late sown, E4- Restricted irrigation late sown during Rabi season of 2016-2017 at research farms, college of agriculture, Gwalior, MP. The genotype main effects and genotype × environment interaction effects (GGE) model and additive main effects and multiplicative interaction (AMMI) model were two statistical approaches used to determine stable genotype in R software.Result: Highly significant difference was seen for genotype and G×E interaction in our study, revealing that genotype yield output was highly impacted by G×E. In all four environments and G3, G9 as unstable genotypes in all four environments, ASV ranking revealed G15 as a stable genotype. For further breeding, these genotypes G12, G18, G13, G11, G2, G10 and G15 may be used to grow genotypes adapted to conditions of partial irrigation or drought stress.

Productivity and adaptability of white clover lines in the forest-steppe of the Middle Volga region

2020 ◽  
pp. 39-43
Author(s):  
О.Ю. Тимошкина ◽  
О.А. Тимошкин
Keyword(s):  
White Clover ◽  
Stability Index ◽  
Volga Region ◽  
Forest Steppe ◽  
Middle Volga Region ◽  
Hydrothermal Coefficient ◽  
Variety Trial ◽  
Federal Research ◽  
Trial Field ◽  
Middle Volga

Цель исследований — оценка перспективных сортообразцов клевера ползучего по продуктивности и адаптивности в условиях лесостепи Среднего Поволжья. Исследования проводили на опытном поле Обособленного подразделения в г. Пензе ФГБНУ «Федеральный научный центр лубяных культур» в 2016–2019 годах. Объектом исследования были перспективные сортообразцы клевера ползучего в питомнике конкурсного сортоиспытания, заложенном в 2015 году. Агроклиматические условия в годы исследований различались. Оптимальные условия для роста и развития клевера складывались в 2016 (ГТК за период отрастания – созревания семян составил 1,1) и в 2017 годах (ГТК = 1,2); 2018 и 2019 годы были засушливыми, ГТК в эти годы составлял 0,5 и 0,4 соответственно. В среднем за 2016–2019 годы урожайность сухого вещества клевера ползучего колебалась в пределах 2,43–2,76 т/га, лучшим по урожайности оказался сортообразец Пл-90-5 (2,76 т/га). Изменчивость урожайности у всех сортов высокая. Почти все сортообразцы показали высокую экологическую адаптивность и пластичность: значение bi у них варьировалось в пределах 0,95–1,15. Наиболее адаптивными и пластичными сортообразцами были Пл-90-2, Пл-90-3, Пл-90-4 и Пл-90-5 (bi=0,95–1,10, σd2=0,0–0,07). Наиболее высоким показателем уровня стабильности сорта отличился сортообразец Пл-90-5 (116,7%), ещё у двух сортообразцов он составил 110,2–115,5%. Наиболее высокий индекс стабильности для данной культуры (0,06) отмечен у четырёх сортообразцов, в том числе у стандарта. Из изучаемых сортообразцов четыре показали коэффициент адаптивности 1,0–1,07, наибольший показатель — у Пл-90-5. Образцы Пл-90-2 и Пл-90-3 обладали наибольшей стрессоустойчивостью. Наибольшая генетическая гибкость между генотипом и факторами среды была отмечена у сортообразцов Пл-90-4 и Пл-90-5 (2,74–2,77). The aim of this research was to evaluate promising genotypes of white clover with regard to its productivity and resistance in the forest-steppe of the Middle Volga region. The experiment took place on the trial field of the Penza branch of the Federal Research Center of Fibre Crops in 2016–2019. A competitive variety trial started in 2015. Environmental conditions varied among years of study. Optimal conditions were in 2016 and 2017, hydrothermal coefficient amounted to 1.1 and 1.2, respectively. Weather of 2018 and 2019 was dry, hydrothermal coefficient reached 0.5 and 0.4, respectively. Dry matter (DM) productivity varied within 2.43–2.76 t ha-1. Pl-90-5 line performed the best producing 2.76 t DM ha-1. Yield variation was high among all the genotypes. Plants showed high adaptability and plasticity: bi varied within 0.95–1.15. Such lines as Pl-90-2, Pl-90-3, Pl-90-4 and Pl-90-5 had the best adaptability and plasticity (bi=0.95–1.10, σd2=0.0–0.07). Pl-90-5 had the highest stability of 116.7%. The highest stability index of 0.06 was determined for four genotypes, including standard variety. Four genotypes had adaptability coefficient of 1.0–1.07, Pl-90-5 showed the highest adaptability. Pl-90-2 and Pl-90-3 had the highest stress-resistance. The highest plasticity between genotype and environment was observed for Pl-90-4 and Pl-90-5 (2.74–2.77).

scholarly journals Multi-Locational Evaluation of Medium-Staple Cotton Genotypes for Seed-Cotton Yield under the Middleveld Agro-Ecological Zone of Zimbabwe.

2020 ◽  
Author(s):  
Marco Mare ◽  
Blessing Chapepa ◽  
Washington Mubvekeri
Keyword(s):  
Analysis Of Variance ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Cotton Yield ◽  
Cotton Production ◽  
Seed Cotton ◽  
Yield Performance ◽  
Seed Cotton Yield ◽  
Biplot Analysis ◽  
The Ideal

Abstract Background The Zimbabwe national cotton breeding programme has the mandate to develop superior cotton (Gossypium Hirsutum) varieties with good field performance and high fibre properties. Cotton productivity in Zimbabwe has remained very low, with national average seed cotton yield record of 650 kg/ha (AMA Report, 2019) compared to the potential 2000 kg/ha. Though this is a result of many biotic and abiotic factors, field experiments laid in a Randomized Complete Block Design were conducted on ten genotypes (seven test genotypes and three check varieties) from 2012 to 2019 across 13 diverse locations in Zimbabwe to evaluate cotton yield performance, stability and adaptability by Analysis of Variance (ANOVA) and Genotype and Genotype by Environment Interaction (GGE) Biplot methods.Results The Analysis of Variance indicated significant (P < .001) effects of Genotype (G), Environment (E) and their Interaction (GE). The highest percentage of variation was explained by E/G/GE (60.34%) while G/E + GE together explained the rest of the variation (< 40%). Joint effects of G and GE were partitioned using the GGE biplot analysis explaining total of 59.08% (PC1 = 36.96% and PC2 = 22.12%) of the GGE sum of squares. The biplot analysis revealed that candidates 917-05-7, TN96-05-9, 912-05-1 and GN 96 (b)-05-8 were the ideal and stable genotypes. The candidate variety 917-05-7 significantly (P < .001) showed superior yield performance over checks CRI-MS1 and CRI-MS2 recording 5% and 5.5% yield increase respectively. Candidate 917-05-7 recorded a higher earliness index (78.11%) over checks CRI-MS1 and CRI-MS2 (77 and 76% respectively) thus indicating potential attributes for good cotton production with more pick-able bolls earlier than the current commercial varieties.Conclusion Candidate 917-05-7 has been identified as the ideal genotype in terms of high yielding potential, and stability hence recommended for commercial release and use as breeding parent for future breeding programs.

scholarly journals Stability and G × E Analysis of Oil Yield of Sunflower Single Cross Hybrids In Diverse Environments

2021 ◽  
Author(s):  
Mehdi Ghaffari ◽  
Amir Gholizadeh ◽  
Seyyed Abbasali Andarkhor ◽  
َAsadolah Zareei Siahbidi ◽  
Seyed Ahmad Kalantar Ahmadi ◽  
...  
Keyword(s):  
Graphical Method ◽  
Block Design ◽  
Oil Yield ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Growing Seasons ◽  
Superior Genotypes ◽  
Ideal Genotype ◽  
Selection Of ◽  
The Ideal

Abstract Multi-environment trials have a fundamental role in selection of the best genotypes across different environments before its commercial release. This study was carried out to identify high-yielding stable sunflower genotypes using the graphical method of the GGE biplot. For this purpose, 11 new hybrids along with four cultivars were evaluated in a randomized complete block design with four replications across 8 environments (combination of years and locations) during 2018–2020 growing seasons. The results indicated that genotype (G), environment (E) and genotype × environment (G×E) effects were significant for oil yield. The G, E and G×E interaction effects accounted for 51.94, 9.50 and 18.67% of the total variation, respectively. Results of biplot analysis showed that the first and second principle components accounted 45.9% and 20.4%, respectively, and in total 66.3% of oil yield variance. GGE biplot analysis indicated two major mega-environments of sunflower testing locations in Iran. Based on the hypothetical ideal genotype biplot, the genotypes G3 and G5 were better than the other genotypes for oil yield and stability, and had the high general adaptation to all environments. Ranking of genotypes based on the ideal genotype from the most appropriate to most inappropriate genotypes is as follows: G5 ˃ G3 ˃ G8 ˃ G14 ˃ G6 ˃ G2 ˃ G13 ˃ G12 ˃ G10 ˃ G11 ˃ G1 ˃ G7 ˃ G4 ˃ G15 ˃ G9. Furthermore, ranking the environments based on the ideal environment introduced Sari location as the best environment. Therefore, the Sari location can be used as suitable test location for selecting superior genotypes of sunflower in Iran. Generally, our results showed the efficiency of the graphical method of the GGE biplot for selection of the genotypes that are stable, high yielding, and responsive.

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