Genomic prediction for tick resistance in Braford and Hereford cattle.

摘要: One of the main animal health problems in tropical and subtropical cattle production is bovine tick, which causes decreased performance, hide devaluation, increased costs with acaricide treatments, transmission infectious diseases. This study investigated utility genomic prediction as a tool to select Braford (BO) Hereford (HH) resistant ticks. The accuracy bias different methods for direct blended was assessed using 10,673 tick counts obtained from 3,435 BO 928 HH belonging Delta G Connection breeding program. A subset 2,803 652 samples were genotyped 41,045 markers remained after quality control. Log transformed records adjusted by pedigree repeatability model estimate variance components, genetic parameters, values (EBV) subsequently used obtain deregressed EBV. Estimated heritability 0.19 ± 0.03 0.29 0.01, respectively. Data split into 5 subsets k-means random clustering cross-validation predictions. Depending on method, value (DGV) accuracies ranged 0.35 Bayes least absolute shrinkage selection operator (LASSO) 0.39 BayesB between 0.42 BayesLASSO 0.45 BayesC clustering. All superior BLUP (PBLUP) 0.26 groups, highest gains (39%) (55%) groups. Blending historical phenotypic information further DGV 0.05 methods. However, observed single-step 0.48 -means 0.56, represent, respectively, 84 93% improvement over PBLUP. Observed breed-specific 0.36 0.55 0.61 BO, depending blending method. These moderately high demonstrate that predictions could be practical improve resistance ticks development lines this breed. For HH, are still low moderate side breed training population needs before reliably applied resistance.