AMMI Method Research Articles

Selection of rice genotypes based on agronomic traits and commercial grain quality

The study aimed to select rice genotypes based on agronomic traits and commercial grain quality. The study was carried out in the 2014/15 and 2015/16 harvests in eight growing environments, located in the state of Rio Grande do Sul, Brazil. Fourteen rice genotypes were sown in each environment. The experiment was conducted in a randomized block design with four replications. The following agronomic traits were evaluated: number of days to flowering and grain yield as well as commercial grain quality traits: percentage of whole grains and percentage of chalky area in the grains. AMMI, GGE and MGIDI methodologies were used to select the best performing genotypes. Using the AMMI, GGE and MGDI methods, genotypes G9 and G1 performed close to the ideal ideotype for the number of days to grain flowering, yield and quality.

Delineating G × E interactions by AMMI method for yield attributes in cowpea (Vigna unguiculata(L.) Walp.)

Delineating G × E interactions by AMMI method for yield attributes in cowpea (Vigna unguiculata(L.) Walp.)

Investigating of the Genotype × Environment Interaction Effect for Grain Yield in Red Bean Genotypes Using AMMI and GGE Biplot Methods

Investigating of the Genotype × Environment Interaction Effect for Grain Yield in Red Bean Genotypes Using AMMI and GGE Biplot Methods

Glucomannan Content Stability of Eddoe Taro Tuber based on Parametric, Non-Parametric, and Ammi Analysis

The consumption of taro tuber as an energy source is widespread due to its composition of complex carbohydrates, including starch and non-starch polysaccharides. Glucomannan is one of the non-starch polysaccharides found in taro tuber and has been shown to be a dietary fiber with positive effects on health and beauty. The development of new varieties of taro tuber with high glucomannan content is challenging and requires significant effort in order to produce high-quality food. Therefore, this study aimed to investigate the stability of glucomannan content among 14 eddoe taro tuber genotypes using parametric, non-parametric, and AMMI methods, and to determine genotypes with high glucomannan stability. The experiments were conducted in three different agro-climatic locations using a randomized full-block design. Glucomannan content of taro tuber was analyzed from a mixture of corms and cormlets harvested 5 months after planting following the gravimetric method. The combined analysis of variance for glucomannan content showed significant effects of the environment, genotypes, and G×E interaction. Genotypes S7, S35, S15, S18, S17, S34, and S24 produced glucomannan levels higher than the overall average, but genotypes S7, S17, S18, and S34 consistently displayed higher glucomannan content than the average in each experimental site. Parametric and non-parametric measurements provided comparable results. Based on parametric stability analysis, genotype S34 showed high-rank stability (Wᵢ², σ²ᵢ, CVi value). Additionally, genotypes S34 and S18 demonstrated high stability according to bᵢ, and genotypes S17 exhibited stability according to the s²dᵢ value. Non-parametric stability analysis showed that S34 was the most stable genotypes base on Nassar Huehn, Kang-Rangksum, and Thennarasu theories. Genotypes S7 was also identified as stable, according to Kang-Rangksum. The AMMI analysis indicated that genotypes S34, S17, and S7 were high glucomannan yielders, with S34 displaying wide adaptation and S17 and S7 having specific location adaptation.

STABILITAS PARAMETRIK HASIL 14 GENOTIPE TOMAT (Solanum lycopersicum L.) DI EMPAT LINGKUNGAN DATARAN RENDAH

This study aimed to obtain information stability results 14 tomato genotypes grown in four lowland locations using multiple methods of parametric stability analysis. The experiments were conducted at four locations, namely Purwakarta, Lombok, Tajur and Leuwikopo. Experiments at each location using Randomized Complete Block Design (RCBD) with three replications which replicates nested within location. The method used were Francis and Kannenberg, Wrickle ekovalens, Finlay and Wilkinson, Eberhart and Russel, Wrickle ekovalens and AMMI .
 Research carried out shows based on the concept of static stability using the method of Francis and Kannenberg and Russell Eberhart, who declared stable genotype were IPBT3, IPBT53 and IPBT78. Based on the concept of dynamic stability using Wrikle ekovalens and Finlay & Wilkinson methods, stable genotype were IPBT3, IPBT8, IPBT33, IPBT34, IPBT57, IPBT60, IPBT64 and Intan. IPBT3, IPBT33, IPBT34, IPBT60 and Intan as stable genotypes under AMMI methods.

Stability analyses of red kernel rice landraces of Tamil Nadu based on AMMI and GGE biplot methods

Stability analyses of red kernel rice landraces of Tamil Nadu based on AMMI and GGE biplot methods

Genetic variability and stability analysis of chili in three environments

Chili is an important vegetable crop consumed by most Indonesian people. Chili production is affected by the limited varieties and low adaptability to growing in different environments. This study aimed to identify the variability of 22 chili pepper on morphology, the genotype x environment interaction, and the stability of 10 chili pepper genotypes in 3 different environments. The study was conducted from July 2020 to February 2022 in Sleman DIY, Bogor, and Blitar. The experimental design used a single-factor randomized complete block design, each consisting of three replicates. The genotypes evaluated were HCR 17-003, HCR 17-004, HCR 17-007, HCR 17-008, HCR17-012, HCR 17-013, HCR 17-014, HCR 17-017, F7-1, F7-2, F7-3, Ca011, Ca013, Ca020, Ca021, Cf002, Cf005, Cf007, Cf010, Cf015, Bonita, and Loblita. Ten genotypes were evaluated in stability analysis, i.e., PKHT A, PKHT B, Bara, Genie, Centil, PKHT C, PKHT D, Bonita, Sona, and Tunduk. The biplot analysis for genetic diversity study showed a total diversity was 40.5% for the two main components. The genotype x environment interaction had a significant effect on productivity. PKHT C and Sona were identified as stable based on the Francis-Kannenberg method. PKHT C, Sona, PKHT B, and Bonita were stable based on the Wricke method. PKHT A and Bonita were stable based on Finlay-Wilkilson methods. PKHT B, PKHT C, Sona, and Bonita were identified as stable based on the AMMI method. The genotype which is stable based on all stability methods was PKHT C.
 Keywords: AMMI; GxE interaction; parametric stability; variety.

Application of multivariate analysis for assessment of stability in winter safflower (Carthamus tinctorius L.) genotypes under rainfed conditions

Assessment of genotype x environment interaction (GEI) is an important constituent of cultivar selection process in multi-environment traits (MET). A set of 15 genotypes of winter safflower (Carthamus tinctorius L.) were evaluated for grain yield, compatibility, yield stability and GEI in diverse environments under rainfed conditions. The analysis of variance conducted through AMMI method showed significant variation in grain yield with respect to mean squares of environments, genotypes, and GEI. The two main components, IPCA1 and IPCA2, accounted for 85.29% of the variation and GEI, indicating almost high biplot validity. The polygon biplot analysis identified six superior and stable genotypes and two mega-environments

POSITIONING OF WHITE OAT CULTIVARS IN DIFFERENT ENVIRONMENTS FOR HIGH GRAIN PRODUCTIVITY IN ORGANIC SYSTEM

<p><strong>Background. </strong>White oat is a multifunctional species with significant benefits to human health, so the positioning of genotypes in the organic system is substantial to promote the expression of maximum productive potential. <strong>Objective.</strong> To select and identify the genotypes with greater stability and productive adaptability. <strong>Methodology.</strong> The study was carried out in 11 environments located in the countries of Brazil (states of Rio Grande do Sul and Paraná) and Paraguay (Itapúa) in 2019 and 2020, evaluating in each of them four genotypes of white oats (<em>Avena sativa</em>) (URS Corona, URS Brava, IPR Artemis and IPR Afrodite) each considered as treatments. The experimental design was randomized blocks with four replications per treatment. The variables analyzed were grain yield (GY, kg ha<sup>-1</sup>) and the cycle in days from emergence to physiological maturity (PM). With the presence of G x E interaction, AMMI and GGE biometric methods were used to study adaptability and stability. <strong>Results.</strong> With the data obtained, it was possible to form three mega-environments with the identification of specifically adapted genotypes. The URS Brava genotype was characterized as the ideal genotype, with high stability and wide adaptability for grain yield, which can be positioned in all environments. High altitudes promoted a longer crop cycle and lower grain yield, while low altitudes induced a shorter cycle and grain yield maximization of white oat genotypes. <strong>Implications.</strong> The current results indicate that it is possible to position a single genotype within a region formed by similar environments, as well as it was identified that the crops should preferably be carried out in regions of lower altitudes. <strong>Conclusion.</strong> The URS Brava genotype is considered the ideal genotype with high potential for productivity at low altitudes.</p>

Análises de adaptabilidade e estabilidade da soja ao sistema orgânico por meio de metodologias AMMI, GGE Biplot e modelos mistos

ABSTRACT: This research determined the adaptability and stability of soybean yield for organic systems in different environments. Grain yield data (GY, kg ha-1) from experiments with six soybean genotypes evaluated in six environments in Brazil and one environment in Paraguay were used. The experimental design used was randomized blocks, organized in an incomplete factorial scheme, with six environments in Brazil (Toledo- PR, Palotina- PR, Mangueirinha- PR, Três Passos- RS, Passo Fundo- RS, Major Vieira- SC) and one in Paraguay (Bela Vista do Norte- PY) with six soybean genotypes (BRS 284, BRS 391, BRS 511, BRS 523, BRS 525, BRS 535) arranged in four replications per environment. BRS 511 genotype was characterized by high average grain yield and stability by the AMMI method. BRS 284 genotype was identified as the ideal genotype in the GGE biplot method. WAASBY and BLUP index selected BRS511 and BRS284 genotypes.

EVALUATION OF WINTER BREAD WHEAT GENOTYPES BASED ON REMOTE SENSING DATA AND AGRONOMIC TRAITS RELATED TO YIELD

Genetic improvement of wheat requires enhancement and application of more effective methods of phenotyping and assessment of genetic gain of breeding lines. Purpose. To evaluate the possibility of using spectral vegetation indices with the involvement of determined genotypic values, to compare the genetic increase in grain yield and other traits, to select the best wheat genotypes using a multi-trait indices and multivariate statistical methods. Methods: field, determination of vegetation indices using UAV, multiple regression, AMMI, GGE-biplot and REML/BLUP methods. Selection indices were calculated based on a set of traits. Results. There were evaluated 12 varieties and lines of bread winter wheat by grain yield, NDVI index and other characteristics. When using GGE-biplot and AMMI analysis, a comprehensive evaluation of genotypes for productivity and stability was carried out. With application of REML/BLUP analysis, genetic parameters and genotypic values were determined for a number of investigated traits. On the basis of the obtained data, selection indices were calculated based on a set of traits. The possibility of using spectral vegetation indices obtained from UAVs in breeding process has been established. More accurate identification of genotypes by a set of features is provided by the combined use of multivariate statistical methods, selection indices and NDVI index. The REML/BLUP method in combination with the multivariate AMMI and GGE-biplot methods with the graphical identification of genotypes by the Z index allows to determine the promising set of traits. The Lines LUT 55198 LUT 37519, LUT 60049, LUT 60107 and the cultivars MIP Lada, MIP Dnipryanka were selected for further use in breeding programs. The prospect of further research is to increase the accuracy of assessment and selection of potentially high-yielding and stable wheat lines using remote sensing.

Classical and AMMI methods to select progenies, testers and topcrosses hybrids in corn

Classical and AMMI methods to select progenies, testers and topcrosses hybrids in corn

Evaluation of grain yield stability of tritipyrum as a novel cereal in comparison with triticale lines and bread wheat varieties through univariate and multivariate parametric methods.

Salinity is a major abiotic stress affecting cereal production. Thus, tritipyrum (x. Tritipyrum), a potential novel salt-tolerant cereal, was introduced as an appropriate alternative for cereal production. The purposes of this study were to evaluate agronomic traits, yield, and yield stability of eight primary tritipyrum lines, five promising triticale lines, and four bread wheat varieties and to screen a stable yielding line. The experiments were conducted in randomized complete block designs with three replicates in three locations during four growing seasons. Analysis of variance in each environment and Bartlett's test for the variance homogeneity of experimental errors were made. Subsequently, separate experiments were analyzed as a combined experiment. The stability of grain yield was analyzed according to Eberhart and Russell's regression method, environmental variance, Wrick's ecovalance, Shokla's stability variance, AMMI, and Tai methods. Genotype × environment interactions (GEI) and environments were significant for the agronomic traits. Stability analysis revealed that combined primary tritipyrum line (Ka/b)(Cr/b)-5 and triticale 4115, 4108, and M45 lines had good adaptability in all environments. The results of the AMMI3 model and pattern analysis showed that the new cereal, tritipyrum, had the most stable response in various environments. The tritipyrum line (Ka/b)(Cr/b)-5 had the best yield performance and general adaptability. Based on Tai's method, the contribution of spike number to the stability of grain yield over different environments was higher than that of other yield components. Also, tritipyrum lines demonstrated higher stability compared with wheat and triticale. Totally, M45 triticale and tritipyrum (Ka/b)(Cr/b)-5 lines were the most stable genotypes with high grain yield. Complementary agronomic experiments may then release a new grain crop of triticale and a new pasture line of combined primary tritipyrum for grain and forage. Moreover, the combined tritipyrum line can be used in bread wheat breeding programs for producing salt-tolerant wheat cultivars.

Evaluation of Stability and Adaptability in the Selected Lines of Some Iranian Eggplant (Solanum melongena L.) by AMMI and GGE Biplot Methods

Evaluation of Stability and Adaptability in the Selected Lines of Some Iranian Eggplant (Solanum melongena L.) by AMMI and GGE Biplot Methods

GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran

ABSTRACT Due to increasing farmers’ attention to sorghum (Sorghum bicolor (L.) Moench) cultivation in arid and semi-arid regions, it is necessary to introduce new, suitable sorghum cultivars. The present study aimed to evaluate the yield stability of grain sorghum genotypes via AMMI and GGE biplot analyses to identify high-yielding and best adapted genotypes for release in Iran’s warm-temperate regions. Seven promising grain sorghum lines (KGS15, KGS19, KGS23, KGS25, KGS27, KGS32, and KGS36), along with three commercial cultivars (Kimiya, Payam, and Sepideh), were studied in seven regions of Iran (Karaj, Isfahan, Gorgan, Birjand, Shiraz, Zabol, and Hamedan) during the 2019 and 2020 growing seasons. AMMI analysis showed that genotypes G7, G3, and G6 had the lowest AMMI stability values (ASV). GGE biplot analysis showed that genotype G6 had the highest grain yield (GY) in most environments, whereas genotype G1 was specifically adapted to the Hamedan province. According to the average-environment coordination of the GGE biplot, genotype G6 was the most desirable genotype, significantly better than the second and third best genotypes G4 and G3 (G4 was missed by AMMI). This study also indicated that the GGE biplot method was more effective than the AMMI method in analyzing genotype by environment and identifying superior genotypes. Overall, G6 can be introduced as the superior-most genotype for cultivation in Iran’s warm-temperate regions.

The Evaluation of Grain Yield Stability in Sunflower Varieties Using Univariate Analysis and AMMI Method

The Evaluation of Grain Yield Stability in Sunflower Varieties Using Univariate Analysis and AMMI Method

Stability assessment for selection of elite sugarcane clones across multi-environment based on AMMI and GGE-biplot models

Seven field experiments were conducted at three experiment stations representing major sugarcane producing regions in Egypt. Each experiment comprised a randomized complete block design with three replications. Fourteen elite breeding lines typical of those routinely generated in the three final selection stages of sugarcane breeding programs in Egypt, along with one check variety (GT54-9) were evaluated for cane and sugar yield in this study during the 2018/2019, 2019/2020 and 2020/2021 seasons. Stability parameters including cultivar stability rank and superiority index were determined. The data was also investigated using GGE-biplots, the additive main effects and multiplicative interaction model (AMMI), and the AMMI stability value (ASV). The genotype main effect was used to visualize the G x E interaction. The results of these trials are of significance in guiding the selection and recommendation of superior sugarcane varieties and more stable in sugarcane production zones. The clone G.2016–129 had a mean sugar yield and cultivar superiority index for sugar yield exceeding that of GT54-9, and hence was recommended for commercial planting. Because of local conditions in Egypt, an elite sugarcane variety would have high and stable yield and would adapt to a wide range of environments. In the present study, only one clone G.2016–129 fit that definition by producing higher and more stable sugar yield than the commercial variety GT 54–9.. At the side of multivariate analyses, the ASV (AMMI stability value) supports selection of stable varieties in the AMMI Method. Varieties with lowest ASV are stable. Therefore, the results of this study exposed that G.2016–95, F-150 and G.2016–129 with lowest ASV for cane yield by contrast, G.2009–11, G.2016–128, F-150 and G.2016–95 with lowest ASV for sugar yield, were stable clones for cane and sugar yields, respectively.

Stability and Compatibility of some Iranian Eggplant (Solanum melongena L.) Lines using AMMI Method

Eggplant has high variation in the world and there are many landraces of the eggplant in Iran. In the previous studies, five landraces of Minab’s eggplant have been collected from the main production regions with the aim to select the pure lines, consequently 15 superior genotypes were selected from these landraces and their stability and compatibility were analyzed. In the present study, 15 eggplant genotypes together with two superior mother landraces were studied for the two successive years in the three regions of Iran including Minab, Karaj, and Jiroft. Based on the results of the means comparison of yield in the studied lines in each region from average of two years, GHE12 line in Minab region, SA13 line in Jiroft region, and AM4, SA15, and SA5 lines in Karaj region had acceptable yield than the other studied lines. According to the results of general compatibility and stability analysis, the three genotypes of Y7, AM7 and SA15 were recognized as the most stable genotypes with having the least interaction; therefore, they categorized as the first ranking of stability. According to the results of special compatibility and stability analysis, AM7, Y7 and GHE12 lines for Minab region; AM5 and SA5 lines for Jiroft region and SA5 and AM4 lines for the Karaj region can be recommended.

Genotype by environment interaction analysis for grain yield of wheat in irrigated and rain-fed mega-environments using AMMI and GGE bipolt models

Wheat (Triticum aestivum L.) is the major and strategic cereal crop globally. It is grown worldwide under a wide range of agro-ecological conditions. The performance of quantitative traits, for example grain yield, often varies due to significant effects of the genotype and environment interaction (GEI). Therefore, the integration of higher grain yield with stable performance is one of the common objectives in wheat-breeding programs. The present investigation was carried out to evaluate the GEI through GGE biplot and AMMI analysis over six environments (rain-fed and irrigated conditions during three years) using 29 diverse wheat genotypes. The analysis of variance revealed that the effect of environments (E), genotypes (G) and GEI are significant. The first two AMMI components justified 72.6% of the GEI variation. In the other hands, the first two principal components of the GGE biplot explained 58.3% of the observed variation for the grain yield. The GGE biplot suggested suitability of the tester E6 based on discrimination ability and representativeness, which is ideal for selecting superior genotypes. Based on the similar results of AMMI and GGE-biplot methods, the genotype G6 was the best performing genotypes at the rain-fed mega-environment. In addition, the entries G1 and G29 were suitable for the irrigated mega-environment.

Genotype by Environment Interaction and yield Stability Assessment in new promising Cotton Genotypes by Parametric, AMMI and GGE Biplot Analysis Methods

Genotype by Environment Interaction and yield Stability Assessment in new promising Cotton Genotypes by Parametric, AMMI and GGE Biplot Analysis Methods