output.gain: Summary For Genetic Gain

In IPLGP: Identification of Parental Lines via Genomic Prediction

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

IPLGP documentation built on April 6, 2023, 5:23 p.m.