Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Meat Science
Characterizing Linkage Disequilibrium In Pig Populations, Feng-Xing Du, Archie C. Clutter, Michael M. Lohuis
Characterizing Linkage Disequilibrium In Pig Populations, Feng-Xing Du, Archie C. Clutter, Michael M. Lohuis
Department of Animal Science: Faculty Publications
Knowledge of the extent and range of linkage disequilibrium (LD), defined as non-random association of alleles at two or more loci, in animal populations is extremely valuable in localizing genes affecting quantitative traits, identifying chromosomal regions under selection, studying population history, and characterizing/managing genetic resources and diversity. Two commonly used LD measures, r2 and D’, and their permutation based adjustments, were evaluated using genotypes of more than 6,000 pigs from six commercial lines (two terminal sire lines and four maternal lines) at ~4,500 autosomal SNPs (single nucleotide polymorphisms). The results indicated that permutation only partially removed the dependency of …
A General Review Of Competition Genetic Effects With An Emphasis On Swine Breeding, C. Y. Chen, Rodger K. Morota, S. Newman, L. D. Van Vleck
A General Review Of Competition Genetic Effects With An Emphasis On Swine Breeding, C. Y. Chen, Rodger K. Morota, S. Newman, L. D. Van Vleck
Department of Animal Science: Faculty Publications
A review of previous studies is presented on estimates of genetic parameters and responses to selection with traditional breeding approaches, on correlations between agonistic behavior and growth performance, and on theoretical frameworks for selection incorporating interactions among individuals and on practical methods for incorporating competition effects in breeding programs.
Managing The Risk Of Comparing Estimated Breeding Values Across Flocks Or Herds Through Connectedness: A Review And Application, L. A. Kuehn, Ronald M. Lewis, D. R. Notter
Managing The Risk Of Comparing Estimated Breeding Values Across Flocks Or Herds Through Connectedness: A Review And Application, L. A. Kuehn, Ronald M. Lewis, D. R. Notter
Department of Animal Science: Faculty Publications
Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, herds) is challenging if units have different genetic means. Unbiased estimates of differences in BV may be obtained by assigning base animals to genetic groups according to their unit of origin, but units must be connected to estimate group effects. If many small groups exist, error of BV prediction may be increased. Alternatively, genetic groups can be excluded from the statistical model, which may bias BV predictions. If adequate genetic connections exist among units, bias is reduced. Several measures of connectedness have been proposed, but their relationships …