Project Number: 8042-31000-101-00
Start Date: Jul 24, 2012
End Date: Jul 23, 2017
Information from phenotypes, genotypes, and pedigrees will be collected and combined into more accurate genetic evaluations, which will aid in improving the production efficiency of future dairy animals. Statistical methods will be derived, and advanced and efficient computer programs will be developed to process the rapidly growing database of international genomic information and remove bias caused by genomic preselection. Evaluations for additional traits will be developed if their estimated economic values and heritabilities are sufficiently high to justify selection. All traits will be combined into updated genetic-economic indexes to guide breeders with selection goals, and an index targeted to grazing herds will be developed. Methods to combine genotypes from all breeds and crossbreds in the same model will be further developed and tested. Profits from alternative breeding programs and potential investments in data will be compared using simulations and deterministic models. Cooperation with other scientists in ARS, universities, and industry will result in more cost-effective genotyping tools and will maximize benefits from the data collected. Protocols for efficient international sharing of genotype and pedigree data will be developed. Phenotypic effects of management practices and interactions of genotype with environment will also be documented using the national database. Nonadditive genomic effects such as dominance and epistasis will be investigated, and precision mating strategies will be derived to reduce economic loss from inbreeding. Higher density genotyping and full or targeted sequencing may lead to discovering causative mutations that affect important traits and to including quantitative trait loci (QTLs) in predictions instead of only markers. The QTLs and markers with largest effects will be included on smaller, special-purpose chips to provide greater accuracy with less genotyping cost. Methods to impute higher density genotypes from less dense genotypes will be improved. Other species may also be improved by using the genomic selection methods developed in this research as an example.