Czech Journal of Animal Science, 2013 (vol. 58), issue 3
Growth of bifidobacteria in mammalian milkOriginal Paper
Š. Ročková, V. Rada, J. Havlík, R. Švejstil, E. Vlková, V. Bunešová, K. Janda, I. Profousová
Czech J. Anim. Sci., 2013, 58(3):99-105 | DOI: 10.17221/6666-CJAS 
Microbial colonization of the mammalian intestine begins at birth, when from a sterile state a newborn infant is exposed to an external environment rich in various bacterial species. An important group of intestinal bacteria comprises bifidobacteria. Bifidobacteria represent major intestinal microbiota during the breast-feeding period. Animal milk contains all crucial nutrients for babies' intestinal microflora. The aim of our work was to test the influence of different mammalian milk on the growth of bifidobacteria. The growth of seven strains of bifidobacteria in human milk, the colostrum of swine, cow's milk, sheep's milk, and rabbit's milk was...
Evaluation of the effects of tropical tanniferous plants on rumen microbiota using qRT PCR and DGGE analysisOriginal Paper
C. Longo, A.L. Abdalla, J. Liebich, I. Janzik, J. Hummel, P.S. Correa, K.-H. Südekum, P. Burauel
Czech J. Anim. Sci., 2013, 58(3):106-116 | DOI: 10.17221/6667-CJAS
Tanniferous forages may have bacteriostatic and/or bactericidal effect on different rumen microbial populations. We investigated the influence of the tropical tanniferous plants Styzolobium aterrimum (STA), Styzolobium deeringianum (STD), Leucaena leucocephala (LEU), and Mimosa caesalpiniaefolia (MIC) containing 20, 64, 56, and 105 g condensed tannis (CT)/kg dry matter (DM) and Cynodon spp. cv. Tifton 85 (CYN) as control on Fibrobacter succinogenes and methanogenic microbes in rumen liquor from sheep using the in vitro gas production technique (Hohenheim gas test). The relative...
Changes of sperm quality parameters in Caspian roach (Rutilus rutilus caspicus) during spawning migrationOriginal Paper
A. Golpour, M. Akhoundian, H. Khara, M. Rahbar, H. Dadras
Czech J. Anim. Sci., 2013, 58(3):117-124 | DOI: 10.17221/6668-CJAS
In this study, changes of pH, ionic (Na+, K+, Ca2+,and Mg2+), biochemical (total protein, glucose, and cholesterol)compositions of seminal plasma, sperm motility traits (percentage of motile spermatozoa and sperm movement duration), and sperm production characteristics (sperm volume, spermatocrit, and sperm density) were studied in Caspian roach, Rutilus rutilus caspicus, during spawning migration. Sperm of 10 males was collected three times during the spawning migration (in February, March, and April). The results showed that sperm motility parameters (percentage of motile spermatozoa and...
Genetic and environmental parameters estimation for milk traits in Slovenian dairy sheep using random regression modelOriginal Paper
A. Komprej, Š. Malovrh, G. Gorjanc, D. Kompan, M. Kovač
Czech J. Anim. Sci., 2013, 58(3):125-135 | DOI: 10.17221/6669-CJAS
(Co)variance components for daily milk yield, fat, and protein content in Slovenian dairy sheep were estimated with random regression model. Test-day records were collected by the ICAR A4 method. Analysis was done for 38 983 test-day records of 3068 ewes in 36 flocks. Common flock environment, additive genetic effect, permanent environment effect over lactations, and permanent environment effect within lactation were included into the random part of the model and modelled with Legendre polynomials on the standardized time scale of days in lactation. Estimation of (co)variance components was done with REML. The eigenvalues of covariance functions for...
Testing different single nucleotide polymorphism selection strategies for prediction of genomic breeding values in dairy cattle based on low density panelsOriginal Paper
J. Szyda, K. Żukowski, S. Kamiński, A. Żarnecki
Czech J. Anim. Sci., 2013, 58(3):136-145 | DOI: 10.17221/6670-CJAS
In human and animal genetics dense single nucleotide polymorphism (SNP) panels are widely used to describe genetic variation. In particular genomic selection in dairy cattle has become a routinely applied tool for prediction of additive genetic values of animals, especially of young selection candidates. The aim of the study was to investigate how well an additive genetic value can be predicted using various sets of approximately 3000 SNPs selected out of the 54 001 SNPs in an Illumina BovineSNP50 BeadChip high density panel. Effects of SNPs from the nine subsets of the 54 001 panel were estimated using a model with a random uncorrelated SNPs effect...