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gge biplot  (SAS institute)


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    Structured Review

    SAS institute gge biplot
    Polygon view of <t>GGE</t> <t>biplot</t> method for determining the appropriate cultivars in every environment. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Gge Biplot, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gge+biplot/gge+biplot/pmc07382153-80-15-0
    Average 90 stars, based on 1 article reviews
    gge biplot - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "A study on genotype–environment interaction based on GGE biplot graphical method in sunflower genotypes ( Helianthus annuus L.)"

    Article Title: A study on genotype–environment interaction based on GGE biplot graphical method in sunflower genotypes ( Helianthus annuus L.)

    Journal: Food Science & Nutrition

    doi: 10.1002/fsn3.1610

    Polygon view of GGE biplot method for determining the appropriate cultivars in every environment. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Figure Legend Snippet: Polygon view of GGE biplot method for determining the appropriate cultivars in every environment. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)

    Techniques Used:

    Simultaneous evaluation of grain yield and yield stability of the 12 sunflower genotypes in 5 environments by GGE biplot method (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Figure Legend Snippet: Simultaneous evaluation of grain yield and yield stability of the 12 sunflower genotypes in 5 environments by GGE biplot method (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)

    Techniques Used:

    GGE biplot for ranking of the sunflower genotypes based on the ideal genotype. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Figure Legend Snippet: GGE biplot for ranking of the sunflower genotypes based on the ideal genotype. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)

    Techniques Used:

    Ranking biplot for comparison of the environments with the ideal environment (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Figure Legend Snippet: Ranking biplot for comparison of the environments with the ideal environment (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)

    Techniques Used: Comparison

    Biplot graph show relationship among locations in sunflower genotypes test. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)
    Figure Legend Snippet: Biplot graph show relationship among locations in sunflower genotypes test. (G1: Progress, G2: Gabur, G3: Zargol, G4: Armaverski, G5: Azargol, G6: Master, G7: SHF81‐90, G8: Zaria, G9: Favorite, G10: Record, G11: Lakumka, G12: Bulg3)

    Techniques Used:

    Related Articles

    Software:

    Article Title: A study on genotype–environment interaction based on GGE biplot graphical method in sunflower genotypes ( Helianthus annuus L.)
    Article Snippet: .. SAS v.9.1 software was used for Bartlett's test and combined variance analysis of data and GGE biplot based on five patterns: (a) determining the best genotype in each environment, (b) coordinates of average environment, (c) ranking the genotypes based on the ideal genotype, (d) ranking the environments based on the ideal environment, and (e) examining the relationship among the environments was used for graphical analysis. ..



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    Image Search Results


    The polygon view of “Which-won-where” model of GGE biplot representing the performance of wheat genotypes and their interactions with environment. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Journal: Scientific Reports

    Article Title: Exploring the genotype-environment interaction of bread wheat in ambient and high-temperature planting conditions: a rigorous investigation

    doi: 10.1038/s41598-024-53052-w

    Figure Lengend Snippet: The polygon view of “Which-won-where” model of GGE biplot representing the performance of wheat genotypes and their interactions with environment. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Article Snippet: The “metan” package of R studio was practical for AMMI analysis, while the GGE Biplot GUI package was working for GGE biplot based analysis.

    Techniques:

    “Ranking of genotypes” model of biplot assess other wheat genotypes against the ideal genotype conferring genotype interaction and genotype x environment interactions. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Journal: Scientific Reports

    Article Title: Exploring the genotype-environment interaction of bread wheat in ambient and high-temperature planting conditions: a rigorous investigation

    doi: 10.1038/s41598-024-53052-w

    Figure Lengend Snippet: “Ranking of genotypes” model of biplot assess other wheat genotypes against the ideal genotype conferring genotype interaction and genotype x environment interactions. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Article Snippet: The “metan” package of R studio was practical for AMMI analysis, while the GGE Biplot GUI package was working for GGE biplot based analysis.

    Techniques:

    The “Discrimitiveness vs. Representativeness” model of biplot evaluate the wheat genotypes against the ideal genotypes, conferring genotype interaction and genotype x environment interactions. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Journal: Scientific Reports

    Article Title: Exploring the genotype-environment interaction of bread wheat in ambient and high-temperature planting conditions: a rigorous investigation

    doi: 10.1038/s41598-024-53052-w

    Figure Lengend Snippet: The “Discrimitiveness vs. Representativeness” model of biplot evaluate the wheat genotypes against the ideal genotypes, conferring genotype interaction and genotype x environment interactions. ( a ) grain yield under normal sown environment, ( b ) grain filling rate under normal sown environment, ( c ) grain yield under heat stress environment ( d ) grain filling rate under heat stress environment.

    Article Snippet: The “metan” package of R studio was practical for AMMI analysis, while the GGE Biplot GUI package was working for GGE biplot based analysis.

    Techniques:

    The four-quadrant diagram of economic resistance and recoverability (a) and biplot of economic resilience (b).

    Journal: PLOS ONE

    Article Title: Measurement of economic resilience under the COVID-19 based on nighttime light remote sensing: Case of Hubei province

    doi: 10.1371/journal.pone.0307613

    Figure Lengend Snippet: The four-quadrant diagram of economic resistance and recoverability (a) and biplot of economic resilience (b).

    Article Snippet: Furthermore, GGE biplot in R studio [ ] was utilized to graphically rank the economic resilience of cities in the second and third quadrants, taking into account their overall performance in terms of resistance and recoverability during the COVID-19 pandemic ( ).

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