output.gain {IPLGP} | R Documentation |
Summary For Genetic Gain
Description
Output the GEBV average of parental lines, the GEBV average of the last generation in simulation process, and the genetic gain average over repetitions for each target trait.
Usage
output.gain(result)
Arguments
result |
list. The data list of the output from simu.GEBVO, simu.GDO, or simu.GEBVGD. |
Value
The output contains the table of the GEBV average of parental lines, the GEBV average of the last generation in simulation process, and the genetic gain average over repetitions for each target trait.
References
Chung PY, Liao CT. 2020. Identification of superior parental lines for biparental crossing via genomic prediction. PLoS ONE 15(12):e0243159.
See Also
simu.GEBVO
simu.GDO
simu.GEBVGD
Examples
# generate simulated data
set.seed(2000)
t1 <- rnorm(10,30,10)
t2 <- rnorm(10,10,5)
t3 <- NULL
t4 <- NULL
t5 <- NULL
geno.test <- matrix(sample(c(1, -1), 200, replace = TRUE), 10, 20)
marker.test <- cbind(rep(1:2, each=10), rep(seq(0, 90, 10), 2))
fit <- GBLUP.fit(t1, t2, t3, t4, t5, geno = geno.test)
fitvalue <- fit$fitted.value
geno.candidate <- matrix(sample(c(1,-1), 300, replace = TRUE), 15, 20)
# run
result <- simu.GEBVO(fitvalue, geno.t = geno.test, marker = marker.test,
geno.c = geno.candidate, nprog = 5, nsele = 10, ngen = 5, nrep = 5)
# summary for genetic gain
output <- output.gain(result)
output
[Package IPLGP version 2.0.4 Index]