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  "Title": "Optimum Contribution Selection and Population Genetics",
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  "Date": "2026-02-18",
  "Authors@R": "c(person(\"Robin\", \"Wellmann\", \nrole  = c(\"aut\", \"cre\"),\nemail = \"ro.wellmann@gmail.com\"))",
  "Description": "A framework for the optimization of breeding programs via\noptimum contribution selection and mate allocation. An easy to\nuse set of function for computation of optimum contributions of\nselection candidates, and of the population genetic parameters\nto be optimized. These parameters can be estimated using\npedigree or genotype information, and include kinships,\nkinships at native haplotype segments, and breed composition of\ncrossbred individuals. They are suitable for managing genetic\ndiversity, removing introgressed genetic material, and\naccelerating genetic gain. Additionally, functions are provided\nfor computing genetic contributions from ancestors, inbreeding\ncoefficients, the native effective size, the native genome\nequivalent, pedigree completeness, and for preparing and\nplotting pedigrees. The methods are described in:\\n Wellmann,\nR., and Pfeiffer, I. (2009) <doi:10.1017/S0016672309000202>.\\n\nWellmann, R., and Bennewitz, J. (2011)\n<doi:10.2527/jas.2010-3709>.\\n Wellmann, R., Hartwig, S.,\nBennewitz, J. (2012) <doi:10.1186/1297-9686-44-34>.\\n de Cara,\nM. A. R., Villanueva, B., Toro, M. A., Fernandez, J. (2013)\n<doi:10.1111/mec.12560>.\\n Wellmann, R., Bennewitz, J.,\nMeuwissen, T.H.E. (2014) <doi:10.1017/S0016672314000196>.\\n\nWellmann, R. (2019) <doi:10.1186/s12859-018-2450-5>.",
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