GGE-BIPLOT ANALYSIS FOR GENOTYPE ENVIRONMENT INTERACTIONS IN SOME QUALITY TRAITS OF SILAGE MAIZE GENOTYPES

Seventeen hybrid maize genotypes were evaluated at four different locations in 2005 and 2006 cropping seasons under irrigated conditions in Turkey. The analysis of variance showed that mean squares of environments (E), genotypes (G) and GE interactions (GEI) were highly significant and accounted for 74, 7 and 19 % of treatment combination sum squares, respectively. To determine the effects of GEI on grain yield, the data were subjected to the GGE biplot analysis. Maize hybrid G16 can be proposed as reliably growing in test locations for high grain yield. Also, only the Yenisehir location could be best representative of overall, locations for deciding about which experimental hybrids can be recommended for grain yield in this study. Consequently, using of grain yield per plant instead of grain yield per plot in hybrid maize breeding programs could be preferred by private companies due to some advantages.

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Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis

Notulae Botanicae Horti Agrobotanici Cluj-Napoca ◽

10.15835/nbha48312058 ◽

2020 ◽

Vol 48 (3) ◽

pp. 1387-1397 ◽

Cited By ~ 1

Author(s):

Dragan BOŽOVIĆ ◽

Vera POPOVIĆ ◽

Vera RAJIČIĆ ◽

Marko KOSTIĆ ◽

Vladimir FILIPOVIĆ ◽

...

Keyword(s):

Total Variation ◽

Phenotypic Variance ◽

Gge Biplot ◽

Total Phenotypic Variance ◽

Maize Productivity ◽

Biplot Analysis ◽

Growing Seasons ◽

Maize Genotypes ◽

Ammi Model

The objective of this study was to estimate genotype by locality, by year, by treatments (G×LxYxT) interaction using AMMI model, to identify maize genotypes with stable number of rows of grains performance in different growing seasons. The trials conducted with seven maize lines/genotypes, four treatments, two years and at the two locations. The results showed that the influence of genotype (G), year (Y), locality (L), and G×L, G×T, G×L×T, G×Y×T, G×Y×L×T interaction on maize number of rows of grains were significant (p<0.01). The genotype share in the total phenotypic variance for the grains number rows of was 53.50%, and the interaction was 21.15%. The results also show that the sums of the squares of the first and second major components (PC1 and PC2) constitute 100% of the sum of the squares of the interaction G×L. The first PC1 axis belongs to all 100%, which points to the significance of the genotype in the total variation and significance of the genotype for overall interaction with other observed sources of variability. The highest stability in terms of expression of the grains number of rows had the genotype L-6, followed by the genotypes L-4, L-5 and L-3. The lowest stability was demonstrated by the genotypes L-2 and L-1, which confirmed that these genotypes are not important for further selection in terms of this trait.

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GGE Biplot Analysis of Genotype-by-environment Interactions for Melon Fruit Yield and Quality Traits

HortScience ◽

10.21273/hortsci14760-19 ◽

2020 ◽

Vol 55 (4) ◽

pp. 533-542

Author(s):

Sat Pal Sharma ◽

Daniel I. Leskovar ◽

Kevin M. Crosby ◽

A.M.H. Ibrahim

Keyword(s):

Fruit Yield ◽

Quality Traits ◽

Fruit Firmness ◽

Gge Biplot ◽

Genotype By Environment ◽

Biplot Analysis ◽

Yield And Quality ◽

South Central ◽

Central Texas ◽

Β Carotene

The stability of yield and quality traits in nine orange-fleshed melon (Cucumis melo L.) genotypes was studied over nine environments in south-central Texas (College Station, Uvalde, and Weslaco) over 3 years (2010, 2011, and 2012). Besides yield traits, fruit -quality components such as soluble solids content (SSC), β-carotene, and fruit firmness were also measured. Data were subjected to the combined analysis of variance and trait stability by GGE Biplot. The significant genotype-by-location interactions for yield traits demonstrated the potential to develop location-specific cultivars. However, the temporal fluctuations in productivity emphasized the need to select for stability over several years in potential cultivars for the target environments. Cultivar Mission was confirmed as the most stable and average performing genotype for marketable yield and quality traits at all locations. Uvalde was identified as the ideal location for selecting generally adapted genotypes for south-central Texas. Biplot analysis indicated that Orange Dew was the highest mean performing genotype for SSC. The hybrid Oro Duro, followed by TAMU 146, ranked highest for mean and stability of β-carotene content, but it ranked lowest for fruit firmness. TAMU Orange Casaba exhibited specific adaptation, producing the highest mean fruit yield at Weslaco, while Journey had the highest fruit yield at College Station and Uvalde. Understanding of genotype-by-environment interactions for multiple traits in melon is critical for developing cultivars with high mean performance and stability in target growing environments.

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Evaluation of genotype × environment relationship in silage maize genotypes using biplot analysis and stability index

Turkish Journal of Food and Agriculture Sciences ◽

10.14744/turkjfas.2020.010 ◽

2020 ◽

pp. 50-61

Author(s):

Erkan Ozata

Keyword(s):

Total Variation ◽

Analysis Of Variance ◽

Dry Matter ◽

Block Design ◽

Dry Matter Yield ◽

Gge Biplot ◽

Ge Interaction ◽

Biplot Analysis ◽

Silage Maize ◽

Herbage Yield

This study was conducted to evaluate the adaptability and stability of silage maize hybrids determing herbage and dry matter yield using Biplot analysis and some stability indexes. The studies were carried out using five registered corn varieties under irrigated conditions for six years (2013-2018) in Çarşamba plain of Samsun province, Turkey. The experimental layout was a Randomized Complete Block Design with four replications. Finlay and Wilkenson's regression and Eberhart and Russel's deviation from regression (S2d) coefficients were used in statistical analysis. Genotype (G) x environment (E) interactions were studied using the additive main effects and multiplicative interaction (AMMI) and G + GE (GGE) biplot models. The combined analysis of variance revealed significant (P<0.01) effects of G, E and G × E interaction on herbage and dry matter yields. The analysis of variance indicated that 62.70% of variation in the herbage yield explained by E, 29.79% by the differences in G and 7.49% by the GE interaction. The analysis of variance indicated that 62.80% of the total variation in the dry matter yield accounted for E, 30.20% of the total variation by G and G × E interaction explained only 7.00% of the total variation in the data. The results of AMMI and GGE biplot models and stability analyses (R2, bi and S2di) revealed that PR31Y43 and Burak hybrids were stable in both herbage yield and dry matter yield.

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