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

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.

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Adaptability and phenotypic stability of sugarcane clones

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2018000100005 ◽

2018 ◽

Vol 53 (1) ◽

pp. 42-52 ◽

Cited By ~ 2

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.

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ADAPTIVE PROPERTIES OF NEW OAT VARIETIES IN THE MIDDLE VOLGA REGION

Vestnik of Ulyanovsk state agricultural academy ◽

10.18286/1816-4501-2020-4-100-107 ◽

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.

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

10.21203/rs.3.rs-648764/v1 ◽

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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Genotype by Trait Interaction (GT) in Maize Hybrids on Complete Fertilizer

Plants ◽

10.3390/plants10112388 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2388

Author(s):

Seyed Mohammad Nasir Mousavi ◽

Csaba Bojtor ◽

Árpád Illés ◽

János Nagy

Keyword(s):

Block Design ◽

Principal Component ◽

Gge Biplot ◽

Maize Hybrids ◽

Maize Cultivars ◽

Randomized Complete Block Design ◽

Total Data ◽

Ammi Model ◽

Complete Fertilizer ◽

The University

We investigated the interaction between genotype by trait, and an experiment was conducted at the University of Debrecen. Two maize cultivars, FAO340 and FAO410, were studied in a randomized complete block design with four replications. This experiment was applied to the six fertilization treatments. Fertilizer levels were NPK0 (control) (N:0, P2O5:0, K2O:0), NPK1 (N:30, P2O5:23, K2O:27), NPK2 (N:60, P2O5:46, K2O:54), NPK3 (N:90, P2O5:69, K2O:81), NPK4 (N:120, P2O5:92, K2O:108), and NPK5 (N:150, P2O5:115, K2O:135). The first principal component showed 54.24%, and the second principal component showed 20.75%, which explained the total squares interaction using the AMMI model in the case of the FAO410 hybrid. As regards the FAO340 hybrid, the first principal component showed 58.18%, and the second principal component showed 18.04%, explaining the total squares interaction using the AMMI model in the FAO410 hybrid. In the GGE biplot on FAO410, the first and the second principal components covered 91.20% of the total data in this analysis. Accordingly, the desirable treatment was NPK5, followed by NPK4, NPK2, NPK3, NPK1, and NPK0. NPK4 and NPK5 had the most desirable treatments for the number of seeds per row, chlorophyll, weight of 1000 seeds, and stem diameter in the case of the FAO410 hybrid.

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Adaptability and stability of erect cowpea genotypes via REML/BLUP and GGE Biplot

Bragantia ◽

10.1590/1678-4499.280 ◽

2016 ◽

Vol 75 (3) ◽

pp. 299-306 ◽

Cited By ~ 15

Author(s):

Adriano dos Santos ◽

Gessi Ceccon ◽

Paulo Eduardo Teodoro ◽

Agenor Martinho Correa ◽

Rita de Cássia Félix Alvarez ◽

...

Keyword(s):

Grain Yield ◽

The State ◽

Gge Biplot ◽

Phenotypic Stability ◽

Ge Interaction ◽

Mato Grosso ◽

Mato Grosso Do Sul ◽

The Ideal

ABSTRACT The objective of this study was to investigate the association between the GGE Biplot and REML/BLUP methods and select cowpea genotypes that meet simultaneously high grain yield, adaptability and stability in the Mato Grosso do Sul environments. The experiments were carried out from February to July 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The experiments in Chapadão do Sul were conducted only in the years of 2010 and 2011, totaling eight environments. After detecting significant genotypes × environments (GE) interaction, the adaptability and the phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and REML/BLUP methods. These methods were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The BRS- Tumucumaque and BRS-Guariba cultivars are the closest to the ideal in terms of high grain yield and phenotypic stability, being suitable for cultivation in the State.

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Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

Experimental Agriculture ◽

10.1017/s0014479721000144 ◽

2021 ◽

pp. 1-13

Author(s):

Aliya Momotaz ◽

Per H. McCord ◽

R. Wayne Davidson ◽

Duli Zhao ◽

Miguel Baltazar ◽

...

Keyword(s):

Block Design ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Gge Biplot ◽

Genotype By Environment ◽

Biplot Analysis ◽

Genotype Environment Interaction ◽

Area 5 ◽

Randomized Complete Block Design ◽

Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

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PSXII-14 Fiber content in diets for feedlot lambs: performance

Journal of Animal Science ◽

10.1093/jas/skz258.841 ◽

2019 ◽

Vol 97 (Supplement_3) ◽

pp. 424-424

Author(s):

Evandro M Ferreira ◽

Nathalia R Eckermann ◽

Janaina S Biava ◽

Jamile Comelli ◽

Thamires U Sturion ◽

...

Keyword(s):

Interaction Effect ◽

Block Design ◽

Fiber Content ◽

Great Success ◽

Real Possibility ◽

Quadratic Effect ◽

Randomized Complete Block Design ◽

Ram Lambs ◽

Feedlot Lambs ◽

The Ideal

Abstract High-grain diets have been used with great success in the feedlot systems for lambs production in Brazil. Then it became important to define the ideal dietary fiber content in the diet when the goal is to produce heavy lambs for early slaughter. The objective in this trial was to evaluate the levels of fiber on performance of lambs feed high-grain diet. Fifty-eight Dorper x Santa Inês ram lambs (initial BW 20.7 ± 1.19 kg and 75 ± 10.83 d old) were assigned to a randomized complete block design. The treatments were defined by the fiber (“Coastcross” hay) content in diets (CP: 16,12% ± 0.92): 0F: no forage diet (NDF: 10.4%); 5F: 5% of forage (NDF: 12.1%); 10F: 10% of forage (NDF: 15%); 15F: 15% of forage (NDF: 15.5%); 20F: 20% of forage (NDF: 20.8%) and 25F: 25% of forage (NDF: 23.5%). The experiment lasted 89 days and lambs were weighted after 16 hours fasting on days 0, 31, 57 and 89. DMI, ADG and FE were determined in each period. There was no interaction effect between diets and periods. There was a quadratic effect in DMI (0F: 0.96; 5F: 0.97; 10F: 1.04; 15F: 1.00; 20F: 1.02; 25F: 0.88 kg/d; P = 0.02), ADG (0F: 0.27; 5F: 0.26; 10F: 0.28; 15F: 0.28; 20F: 0.26; 25F: 0.21 kg/d; P = 0.01) and FE (0F: 0.28; 5F: 0.28; 10F: 0.28; 15F: 0.29; 20F: 0.26; 25F: 0.25; P = 0.05). Consequently, the increased levels of forage result in quadratic effect on final BW (0F: 44.5; 5F: 44.7; 10F: 46.1; 15F: 45.5; 20F: 43.9; 25F: 39.7 kg; P < 0.01). In conclusion, the inclusion of 10–15% of forage improves the performance of feedlot lambs feed high-concentrate diets, but it was proved the real possibility of finishing lambs with diet without forage source.

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Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

Euphytica ◽

10.1007/s10681-019-2515-1 ◽

2019 ◽

Vol 215 (11) ◽

Cited By ~ 2

Author(s):

Jan Bocianowski ◽

Jerzy Księżak ◽

Kamila Nowosad

Keyword(s):

Pisum Sativum ◽

Block Design ◽

Interaction Model ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Ge Interaction ◽

Multiplicative Interaction ◽

Genotype By Environment ◽

Randomized Complete Block Design ◽

Main Effects

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.

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Establecimiento y producción de materia seca de gramíneas promisorias en el departamento de Jutiapa, Guatemala

Agronomía Mesoamericana ◽

10.15517/am.v2i0.25229 ◽

2016 ◽

Vol 2 ◽

pp. 71

Author(s):

Sergio Reyes A. ◽

Raúl A. Soto O. ◽

Bugo Vargas B. ◽

Miguel Gutiérrez O. ◽

Gonzalo Roldán P.

Keyword(s):

Dry Matter ◽

Block Design ◽

Ground Cover ◽

Average Yield ◽

Matter Production ◽

Pasture Grasses ◽

Randomized Complete Block Design ◽

Cutting Frequency ◽

Improved Pasture ◽

Better Than

With the aim of sclecting improved pasture grasses for the sub-humid forcst conditions in the department of Jutiapa, Guatemala, Courteen acccssions previously selected wercevaluated. A split plot randomized complete block design with four replications was used where the main plots were accessions and sub plots cutting frequency (3,5,7 and 9 weeks). Measurements were made during the periods of maximum and minimum precipitation in 1988 and 1989. Mean ground cover was 82.9% ± 8.15 and 72.5% ± 8.34 for maximum and minimum precipitation periods, respectively. Significant (P<0.01) effects of year, precipitation period, accession, cutting frequency and interactions between these variables werc found for dry matter production. The average yield under maximum precipitation was 4.3 ton/ha with B. Dictyoneura, and 6.63 ton/ha for CIAT 6133, both of which being significantly better than the other materials (P ≤ 0.05). Under minimum precipitation, cutting frequencies of 7 and 9 wceks were equal or superior to 3 and 5 weeks, with mean yield of 4.92 t / ha. Entries B. decumbens CIAT 606, P. maximun CIAT 673, P. maximun (local), and P. purpureum cv. Mott were modcrately affected by insects. The entries P. maximun (local) and C. nlemfuensis EAP 138 showed moderate damage by discase.

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AMMI and GGE biplots for G×E analysis of wheat genotypes under rain fed conditions in central zone of India

Journal of Applied and Natural Science ◽

10.31018/jans.v7i2.662 ◽

2015 ◽

Vol 7 (2) ◽

pp. 656-661 ◽

Cited By ~ 2

Author(s):

Ajay Verma ◽

Ravish Chatrath ◽

Indu Sharma

Keyword(s):

Maximum Yield ◽

Central Zone ◽

Concentric Circle ◽

Environment Interaction ◽

Wheat Genotypes ◽

Ammi Analysis ◽

Concentric Circles ◽

Ideal Genotype ◽

Genotype G1 ◽

The Ideal

The highly significant environments, genotypes and G×E interaction observed by AMMI analysis of 17 wheat genotypes evaluated at 8 locations in the central zone of the country. Environments(E), genotypes -environment interaction(GE) and genotypes explained 68.8%, 17.6% and 3.2% of the total sum of squares respectively. First four interaction principal components accounted 33.7%, 30.2%, 14.6% and 12.6% of the G×E interaction variation, respectively. The highest positive IPCA1 score of genotype G8 followed by G11 and G10 supported by yield higher than the grand mean 21.8q/ha. Environments E4 (Jabalpur) and E8 (Partapgarh) recorded maximum yield 32.6q/ha and 28.4q/ha while lowest yield was realized in E1 (Arnej). GGE biplot analysis under polygon view indicated that G13 was better in E6 (Sagar), whereas G1 was better in E7 (Bilaspur) and E8 (Partapgarh). The genotype G1, at the centre of concentric circles, was the ideal genotype in terms of yield performance as compared to the other genotypes. In addition, G15 and G12, located on the next consecutive concentric circle, may be regarded as desirable genotypes.

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