Mathematical Modeling and Software Tools for Breeding Value Estimation Based on Phenotypic, Pedigree and Genomic Information of Holstein Friesian Cattle in Serbia.

In this paper, six univariate and two multivariate best linear unbiased prediction (BLUP) models were tested for the estimation of breeding values (BV) in Holstein Friesian cattle in Serbia. Two univariate models were formed using the numerator relationship matrix (NRM), four using the genomic relationship matrix (GRM). Multivariate models contained only an NRM. Two cases were studied, the first when only first lactations were observed, and the second when all lactations were observed using a repeatability model. A total of 6041 animals were included, and of them, 2565 had data on milk yield (MY), milk fat yield (FY), milk fat content (FC), milk protein yield (PY) and milk protein content (PC). Finally, out of those 2565 cows, 1491 were genotyped. A higher accuracy of BV was obtained when using a combination of NRM and GRM compared to NRM alone in univariate analysis, while multivariate analysis with repeated measures gave the highest accuracy with all 6041 animals. When only genotyped animals were observed, the highest accuracy of the estimated BV was calculated by the ssGBLUPp model, and the lowest by the univariate BLUP model. In conclusion, the current breeding programs in Serbia should be changed to use multivariate analysis with repeated measurements until the optimal size of the reference population, which must include genotyping data on both bulls and cows, is reached.

Genetic diversity of Banat Naked Neck, indigenous chicken breed from Serbia, inferred from mitochondrial DNA D-loop sequence and microsatellite markers.

Banat Naked Neck is the most important indigenous breed of chickens in Serbia. Marginalized until recently, it is becoming increasingly popular due to its adaptability and good productivity in alternative production systems. However, its history and the current breeding model pose challenges for breed preservation and future improvement. This study aimed to assess the genetic diversity and structure of four subpopulations of Banat Naked Neck from different districts in Serbia (West Backa, North Banat, South Banat and Kolubara) using D-loop mitochondrial DNA sequences and a set of 30 microsatellite markers. Seven haplotypes in the phylogenetic analysis of D-loop mitochondrial DNA suggested maternal origin related to the Indian subcontinent, while haplotype and nucleotide diversity averaged 0.731 ± 0.053 and 0.0067 ± 0.0018, respectively. Microsatellite genotyping showed an average detected number of alleles per locus of 5.129 ± 0.237, while the observed and expected heterozygosity averaged 0.560 ± 0.018 and 0.631 ± 0.014, respectively. Genetic differentiation estimated through FST was 0.051 (p < .001). Two clusters in STRUCTURE analysis showed possible separation of two older subpopulations (South Banat and Kolubara) from the two more recent ones (West Backa and North Banat). This first comprehensive study of genetic diversity serves as the basis for future preservation, use and improvement of the Banat Naked Neck breed.