PPT-Computation of Large-Scale Genomic Evaluations

Early genomic theory NejatiJavaremi et al 1997 tested use of genomic relationship matrix in BLUP Meuwissen et al 2001 tested linear and nonlinear estimation of haplotype effects. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . for innovation and social transformation through . Govt. -CSO partnerships. Naresh Singh. Director-General, Partnerships with Canadians Branch, CIDA.. The development context. Most development interventions are not only complicated they are also complex. Few are simple, such as digging wells in a community where the wells is all you have to account for. Most humanitarian assistance actions might be complicated but are not complex (they become increasingly complex as we move on the spectrum to long term reconstruction and development.). livestock. Dr Indrasen Chauhan. Scientist, CSWRI, Avikanagar. Tonk-304501. – . B. ased . on individual records, pedigree or progeny performance or family performance. . SI=WT9 +1DMY90. Conventional selection . Daniel Neafsey. April 19. th. , 2017. Institute for Disease Modeling Symposium. New data types and technologies. New investments in modeling needed. Malaria Genomic Epidemiology. COIL (Complexity of Infection by Likelihood). Selection and Sustainable Cattle Production: Are the Incentives Aligned. ?. Ellen Goddard. Albert . Boaitey. , Anahita . Matin. , Violet . Muringai. , . Getu. . Hailu. (U. of Guelph). Canadian Cattle . Adrian Farrel. Old Dog Consulting. adrian@olddog.co.uk. History of PCE. We know where PCE comes from. Simple CSPF computation of paths for MPLS-TE. But RFC 4655 was not quite so limited in its definition. Comm. 301. Reasons for changes in SNP set. History. Single list created across breeds. Poor performing SNPs removed. SNP selection criteria changed. Updated assembly changed SNP locations. Additional QTLs as . Abstr. . 16462. Causative variants. Benefits of knowing causative variant. Supports an exact test . (particularly useful for undesirable conditions). No linkage decay when used in evaluation . Increased reliability of genomic evaluations as causative variants replace less informative SNP. Overview. Details about design consultant evaluations. Evolution. Open discussion. Why Measure Performance?. Create expectations. Communicate performance. Prompt feedback for improvement on subsequent phases. March 2012 AIPL Update Topics Genomics overview April 2012 changes Accounting for bias Selection index adjustments Cow adjustments Calving traits update Whole-genome selection Use many markers to track inheritance of chromosomal segments Dina Paltoo, Ph.D., M.P.H.. NIH Office of Science Policy. Laura Lyman Rodriguez, Ph.D.. National Human Genome Research Institute. October 4, 2017. Housekeeping. Participants must register to join the webinar. Dairy Cattle. 9 million cows in US. Attempt to have a calf born every year. Replaced after 2 or 3 years of milking. Bred via AI. Bull semen collected several times/week. Diluted and frozen. Popular bulls have 10,000+ progeny. Dr. Breno Fragomeni. Assistant Professor. Animal Science - UConn. Where are the labels?. Introduction . Why genomic prediction?. Higher accuracy. Shorter generation interval . Higher genetic gain. Genetic gain per year. biology – lessons from dairy cattle breeding. Dairy Cattle. 9 million cows in US. Attempt to have a calf born every year. Replaced after 2 or 3 years of milking. Bred via AI. Bull semen collected several times/week. Diluted and frozen.