How to create genotype by trait (GT) Biplot in R software?

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  • Опубликовано: 18 сен 2024
  • A genotype by trait biplot can help understand the relationships among traits (breeding objectives) and help identify traits that are positively or negatively associated, traits that are redundantly measured, and traits that can be used in indirect selection for another trait. It also helps to visualize the trait profiles (strength and weakness) of genotypes, which is important for parent as well as variety selection.
    The code
    How to compute GT Biplots in R ?
    library(metan)
    attach(data_ge2)
    View(data_ge2)
    mod =gtb(data_ge2, GEN, resp = contains("E"))
    Basic Biplot
    plot(mod,
    type = 1,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)
    #The Average Tester Coordination view for genotype-trait
    plot(mod,
    type = 2,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 3,repel=TRUE)
    Which-won-where
    plot(mod,
    type = 3,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)
    Discriminativeness vs. representativeness.
    plot(mod,
    type = 4,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)
    Examine trait
    plot(mod,
    type = 5,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)# not worked
    plot(mod,sel_env = "ENV")
    #Ranking traits
    plot(mod,
    type = 6,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)
    Examine a genotype
    plot(mod,
    type = 7,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)# not worked
    plot(mod,sel_gen = "GEN")
    #Ranking genotypes
    plot(mod,
    type = 8,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)
    #Compare two genotypes
    plot(mod,
    type = 9,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)# not worked
    plot(mod,sel_gen1 = "H1",sel_gen2 = "H10")
    Relationship among traits
    plot(mod,
    type = 10,
    col.gen = 'blue',
    col.env = 'red',
    size.text.gen = 4)

Комментарии • 13

  • @techalebirhan3704
    @techalebirhan3704 2 года назад +1

    I love the prediction part! Also it's good if you try genomic prediction! Its very nice Wake!

  • @chekolenigus9868
    @chekolenigus9868 3 месяца назад

    Wakjira could you help me on analysis for location grouping (LG) for mega environments and identifying target testing locations by biplot scripts. Which developed by Weikai Yan, 2019.Thank you

  • @plantgenetics6405
    @plantgenetics6405 Год назад +1

    i run into the following error when running the code:Error in svd(gt_mat) : infinite or missing values in 'x'. How can I resolve it?

  • @sylwiajedzura7516
    @sylwiajedzura7516 2 года назад

    Greate tutorial👍 thank you

  • @matinakand8874
    @matinakand8874 Год назад +1

    I am have a field data (single location) of three factor like 80% field capacity (no stress) 60% fc ( moderate stress) and 40% fc (sever stress) for evaluation of 20 genotype at rcbd design.. can i perform GT biplot by this data ?

    • @wakjiratesfahun3682
      @wakjiratesfahun3682  Год назад

      Yeah It is possible. You can do for single site. For more info please run the following word, ?gtb. Don't forget to run the metan package.

    • @matinakand8874
      @matinakand8874 Год назад

      @@wakjiratesfahun3682 thanks

  • @matinakand8874
    @matinakand8874 Год назад

    What is the difference between GT biplot vs GGE biplot??

    • @wakjiratesfahun3682
      @wakjiratesfahun3682  Год назад +1

      In GT there is inclusion of some traits and while the GGE focus on grain yield performance on the basis of genotype +genotype environmental interaction.

    • @matinakand8874
      @matinakand8874 Год назад

      @@wakjiratesfahun3682 thanks