02130nam a2200265 a 450000100080000000500110000800800410001910000190006024501100007926001480018950004150033752009060075265300160165865300220167465300110169665300200170770000190172770000170174670000170176370000160178070000160179670000190181270000170183170000160184810619262021-03-31 2014 bl uuuu u01u1 u #d1 aCARDOSO, F. F. aAccuracy of genomic prediction for tick resistance in Braford and Hereford cattle.h[electronic resource] aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713.c2014 aAcknowledgments: Research supported by CNPq - National Council for Scientific and Technological Development grant 478992/2012-2, Embrapa - Brazilian Agricultural Research Corporation grants 02.09.07.004 and 01.11.07.002.07, and CAPES - Coordination for the Improvement of Higher Level Personnel grant PNPD 02645/09-2. Authors acknowledge the Delta G Connection for providing animals and data for this research. aABSTRACT. This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repeated 10,673 tick counts were obtained from 3,435 BO and 928 HH cattle from Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate breeding values (EBV), subsequently used to obtained deregressed EBV. Data were split into five subsets for cross-validation using k-means and random clustering. Genomic predictions with moderate accuracies (0.38 to 0.60) were obtained by best unbiased linear prediction (GBLUP), BayesB and single step GBLUP indicating that, despite some bias, genomic selection could be used as practical tool to improve cattle genetic resistance to ticks. aBeef cattle aGenomic selection aHealth aTick resistance1 aSOLLERO, B. P.1 aCOMIN, H. B.1 aGOMES, C. G.1 aROSO, V. M.1 aHIGA, R. H.1 aCAETANO, A. R.1 aYOKOO, M. J.1 aAGUILAR, I.