mtmps: Multi-trait mean performance and stability index

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/mtmps.R

Description

[Experimental]

Computes the multi-trait stability index proposed by Olivoto et al. (2019) considering different parametric and non-parametric stability indexes.

Usage

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mtmps(model, SI = 15, mineval = 1, verbose = TRUE)

Arguments

model

An object of class mtmps

SI

An integer (0-100). The selection intensity in percentage of the total number of genotypes.

mineval

The minimum value so that an eigenvector is retained in the factor analysis.

verbose

If verbose = TRUE (Default), some results are shown in the console.

Value

An object of class mtmps with the following items:

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com

References

Olivoto, T., A.D.C. L\'ucio, J.A.G. da silva, B.G. Sari, and M.I. Diel. 2019. Mean performance and stability in multi-environment trials II: Selection based on multiple traits. Agron. J. 111:2961-2969. doi: 10.2134/agronj2019.03.0220

See Also

mgidi(), mps(), get_model_data()

Examples

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library(metan)
# The same approach as mtsi()
# mean performance and stability for GY and HM
# mean performance: The genotype's BLUP
# stability: the WAASB index (lower is better)
# weights: equal for mean performance and stability

model <-
mps(data_ge,
    env = ENV,
    gen = GEN,
    rep = REP,
    resp = everything())
selection <- mtmps(model)

# gains for stability
selection$sel_dif_stab

# gains for mean performance
selection$sel_dif_trait

metan documentation built on Nov. 10, 2021, 9:11 a.m.