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A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees. The methods are described in:\n Wellmann, R., and Pfeiffer, I. (2009) <doi:10.1017/S0016672309000202>.\n Wellmann, R., and Bennewitz, J. (2011) <doi:10.2527/jas.2010-3709>.\n Wellmann, R., Hartwig, S., Bennewitz, J. (2012) <doi:10.1186/1297-9686-44-34>.\n de Cara, M. A. R., Villanueva, B., Toro, M. A., Fernandez, J. (2013) <doi:10.1111/mec.12560>.\n Wellmann, R., Bennewitz, J., Meuwissen, T.H.E. (2014) <doi:10.1017/S0016672314000196>.\n Wellmann, R. (2019) <doi:10.1186/s12859-018-2450-5>.
Version: | 2.0.9 |
Depends: | R (≥ 3.5.0) |
Imports: | Matrix, plyr, kinship2, nadiv, pedigree, pspline, stringr, MASS, methods, stats, purrr, graphics, quadprog, data.table, magic, parallel, doParallel, foreach, ECOSolveR, reshape2, optiSolve, Rcpp (≥ 0.12.4) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, ggplot2, rmarkdown, alabama, cccp, nloptr, Rsymphony, smacof |
Published: | 2024-07-08 |
DOI: | 10.32614/CRAN.package.optiSel |
Author: | Robin Wellmann [aut, cre] |
Maintainer: | Robin Wellmann <r.wellmann at uni-hohenheim.de> |
License: | GPL-2 |
NeedsCompilation: | yes |
CRAN checks: | optiSel results |
Reference manual: | optiSel.pdf |
Vignettes: |
3. Optimum Contribution Selection 1. Pedigree-based Evaluations 2. Marker-based Evaluations |
Package source: | optiSel_2.0.9.tar.gz |
Windows binaries: | r-devel: optiSel_2.0.9.zip, r-release: optiSel_2.0.9.zip, r-oldrel: optiSel_2.0.9.zip |
macOS binaries: | r-release (arm64): optiSel_2.0.9.tgz, r-oldrel (arm64): optiSel_2.0.9.tgz, r-release (x86_64): optiSel_2.0.9.tgz, r-oldrel (x86_64): optiSel_2.0.9.tgz |
Old sources: | optiSel archive |
Reverse suggests: | MoBPS |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.