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IPLGP  

Identification of Parental Lines via Genomic Prediction
View on CRAN: Click here


Download and install IPLGP package within the R console
Install from CRAN:
install.packages("IPLGP")

Install from Github:
library("remotes")
install_github("cran/IPLGP")

Install by package version:
library("remotes")
install_version("IPLGP", "2.0.4")



Attach the package and use:
library("IPLGP")
Maintained by
Ping-Yuan Chung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2023-04-06
Description:
Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) . Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.
How to cite:
Ping-Yuan Chung (2021). IPLGP: Identification of Parental Lines via Genomic Prediction. R package version 2.0.4, https://cran.r-project.org/web/packages/IPLGP
Previous versions and publish date:
0.1.0 (2021-02-17 21:20), 1.1.0 (2021-04-20 11:50), 1.2.0 (2021-04-23 17:00), 1.3.0 (2021-09-08 12:40), 2.0.0 (2021-12-13 07:10), 2.0.1 (2022-06-10 14:20), 2.0.2 (2022-06-21 11:10), 2.0.3 (2022-09-02 11:10)
Other packages that cited IPLGP R package
View IPLGP citation profile
Other R packages that IPLGP depends, imports, suggests or enhances
Functions, R codes and Examples using the IPLGP R package
Some associated functions: GA.Dscore . GBLUP.fit . geno.d . output.best . output.gain . phe.sd . simu.GDO . simu.GEBVGD . simu.GEBVO . simu.gamete . 
Some associated R codes: GA.Dscore.R . GBLUP.fit.R . geno.d.R . output.best.R . output.gain.R . phe.sd.R . simu.GDO.R . simu.GEBVGD.R . simu.GEBVO.R . simu.gamete.R .  Full IPLGP package functions and examples
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