plot.fai_blup: Multi-trait selection index

In TiagoOlivoto/WAASB: Multi Environment Trials Analysis

Multi-trait selection index

Description

Plot the multitrait index based on factor analysis and ideotype-design proposed by Rocha et al. (2018).

Usage

## S3 method for class 'fai_blup'
plot(
  x,
  ideotype = 1,
  SI = 15,
  radar = TRUE,
  arrange.label = FALSE,
  size.point = 2.5,
  size.line = 0.7,
  size.text = 10,
  col.sel = "red",
  col.nonsel = "black",
  ...
)

Arguments

x	An object of class waasb
ideotype	The ideotype to be plotted. Default is 1.
SI	An integer (0-100). The selection intensity in percentage of the total number of genotypes.
radar	Logical argument. If true (default) a radar plot is generated after using coord_polar().
arrange.label	Logical argument. If TRUE, the labels are arranged to avoid text overlapping. This becomes useful when the number of genotypes is large, say, more than 30.
size.point	The size of the point in graphic. Defaults to 2.5.
size.line	The size of the line in graphic. Defaults to 0.7.
size.text	The size for the text in the plot. Defaults to 10.
col.sel	The colour for selected genotypes. Defaults to "red".
col.nonsel	The colour for nonselected genotypes. Defaults to "black".
...	Other arguments to be passed from ggplot2::theme().

Value

An object of class ⁠gg, ggplot⁠.

Author(s)

Tiago Olivoto [e-mail]

References

Rocha, J.R.A.S.C.R, J.C. Machado, and P.C.S. Carneiro. 2018. Multitrait index based on factor analysis and ideotype-design: proposal and application on elephant grass breeding for bioenergy. GCB Bioenergy 10:52-60. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/gcbb.12443")}

Examples

library(metan)

mod <- waasb(data_ge,
             env = ENV,
             gen = GEN,
             rep = REP,
             resp = c(GY, HM))

FAI <- fai_blup(mod,
                DI = c('max, max'),
                UI = c('min, min'))
plot(FAI)

TiagoOlivoto/WAASB documentation built on March 20, 2024, 4:18 p.m.