Czech Journal of Animal Science, 2020 (vol. 65), issue 12
Prof. Václav Jakubec, DrSc. - 90th birthdayBibliographical Notice
Ludmila Zavadilová, Josef Přibyl
Czech J. Anim. Sci., 2020, 65(12):443-444 | DOI: 10.17221/282/2020-CJAS 
The use of genomic data and imputation methods in dairy cattle breedingReview
Anita Klímová, Eva Kašná, Karolína Machová, Michaela Brzáková, Josef Přibyl, Luboš Vostrý
Czech J. Anim. Sci., 2020, 65(12):445-453 | DOI: 10.17221/83/2020-CJAS
The inclusion of animal genotype data has contributed to the development of genomic selection. Animals are selected not only based on pedigree and phenotypic data but also on the basis of information about their genotypes. Genomic information helps to increase the accuracy of selection of young animals and thus enables a reduction of the generation interval. Obtaining information about genotypes in the form of SNPs (single nucleotide polymorphisms) has led to the development of new chips for genotyping. Several methods of genomic comparison have been developed as a result. One of the methods is data imputation, which allows the missing SNPs to be calculated...
Current challenges for trait economic values in animal breedingReview
Zuzana Krupová, Emil Krupa, Ludmila Zavadilová, Eva Kašná, Eliška Žáková
Czech J. Anim. Sci., 2020, 65(12):454-462 | DOI: 10.17221/161/2020-CJAS
Modern selection approaches are expected to bring about the cumulative and permanent improvement of animal performance and profitability of animal production. Breeding values of traits along with trait economic values (EVs) are utilised for economic selection purposes with many species all over the world. Currently, some challenges related to trait EVs in animal breeding should be considered. First, the selection response based on the higher accuracy of genomic selection may be reduced due to improper weighting of the trait breeding values of selection candidates. A comprehensive approach applied in bioeconomic models allows suitable trait EV calculations....
Genetic parameters for clinical mastitis in Czech Holstein cattleOriginal Paper
Ludmila Zavadilová, Eva Kašná, Zuzana Krupová, Michaela Brzáková
Czech J. Anim. Sci., 2020, 65(12):463-472 | DOI: 10.17221/151/2020-CJAS
Genetic parameters were estimated for clinical mastitis in Czech Holstein cattle. The datasets included 14 329 cows with 28 626 lactations. Clinical mastitis was defined as 0/1 occurrence per lactation. Single- or multi-trait repeatability linear animal models were employed for estimation of (co)variances and prediction of conventional or genomic breeding values. The inclusion of the random herd-year-month effect in the model was analysed. The estimated heritability for clinical mastitis ranged from 2.10% to 2.72%, while permanent environmental variance ratios or random herd-year-month effect ratios were twice higher than heritability. In the multi-trait...
Evaluation of gestation length in Czech Holstein cattleOriginal Paper
Eva Kašná, Ludmila Zavadilová, Emil Krupa, Zuzana Krupová, Anita Kranjčevičová
Czech J. Anim. Sci., 2020, 65(12):473-481 | DOI: 10.17221/150/2020-CJAS
An objective of our study was to evaluate gestation length and its genetic variability in the Czech Holstein population. Data set consisted of 770 865 records of gestation length in 375 574 Holstein cows and covered the period from 2012 to 2018. Mean gestation length was 277 ± 4.9 days, and it was 1.4 days longer in male calves compared to females, and 1.1 days longer in cows compared to heifers. Animal repeatability model with maternal effect was employed for variance component estimation. The direct genetic effect explained the highest proportion of variability, and it corresponded with moderate direct heritability (0.48), while maternal heritability...
Use of SNPs from Illumina BovineSNP50K BeadChip v3 for imputation of microsatellite alleles for parentage verification and QTL reportingOriginal Paper
Michaela Přibáňová, Daniela Schroffelová, David Lipovský, Josef Kučera, Vladimír Šteiger, Jarmila Hromádková, Lucie Němcová
Czech J. Anim. Sci., 2020, 65(12):482-490 | DOI: 10.17221/208/2020-CJAS
The present study aimed to test the possibility of avoiding expensive retesting of the whole parental generation for single nucleotide polymorphisms (SNPs), to provide additional analysis of microsatellites in offspring in the transitional period and to analyse the likelihood of imputation of the International Society for Animal Genetics-recommended microsatellite markers from selected SNPs. The imputation and pedigree verification of 9 520 animals (representing 84 dairy bulls, 285 dairy cows, 3 202 beef bulls and 5 949 beef cows) were analysed by the method using 9 410 SNP haplotypes (incorporating an average of 73 SNPs per haplotype). The imputation...