No description available.

Methodologies have been devised to genotype the $ kappa$-casein ($ kappa$-CN) and $ beta$-lactoglobulin ($ beta$-LG) loci using the polymerase chain reaction (PCR) and restriction fragment length polymorphisms (RFLPs) analysis. A fragment of 432 base pair from the $ kappa$-CN gene which contains the nucleotide substitutions diagnostic of the A- and B-alleles of $ kappa$-CN was amplified. DNA amplified from the A-variant contained a unique HinfI restriction site, whereas DNA amplified from the B-variant contained a unique TaqI site. Thus, the genotype of the animal could be determined by restriction enzyme analysis. A region extending from exon IV to V of the $ beta$-LG gene was also amplified using PCR. In this region, the B-allele contains 2 HaeIII restriction sites which are not present in DNA amplified from the A-allele. The digestion of the PCR product with HaeIII thus allowed discrimination between the A- and B-alleles. Analysis of bulls (n = 68) used by artificial insemination (AI) centres after 1980, bulls (n = 27) used before 1960, a random sample of male calves (n = 102) and cows (n = 123) revealed a frequency of the B allele of $ kappa$-CN as 0.13, 0.37, 0.22 and 0.19 in these populations, respectively. In the populations of bulls (n = 69) used by AI centres after 1980, bulls (n = 27) used before 1960, a random sample of male calves (n = 99), and cows (n = 129), the B-allele of $ beta$-LG was present at frequencies of 0.60, 0.52, 0.67, and 0.65, respectively. Statistical analysis of these data shows the frequency of the B-allele of $ kappa$-CN was significantly higher in sires (n = 27) which were used by the AI centre before 1960 compared to more modern proven sires (n = 68) (P $<$ 0.01).

Single-strand conformation polymorphism analysis (SSCP) and restriction fragment length polymorphism analysis (RFLP) were used to determine the genotype of Holsteins at the $ kappa$-casein ($ kappa$-CN) locus. A 432-bp fragment within exon IV containing nucleotide substitutions diagnostic of the A- and B-variants of $ kappa$-CN was amplified using the polymerase chain reaction (PCR). The sires from the earliest years of the AI industry had a significantly higher (p $<$ 0.01) frequency of allele than sires in modern usage. These data indicate that selection or milk production parameters may discriminate against the B-allele. SSCP analysis was also used for detecting polymorphisms within the regulatory region of $ kappa$-CN gene. A 640-bp fragment within the 5$ sp prime$-flanking region of bovine $ kappa$-CN gene which contained the TATA box, CAAT box, and exon I was amplified using PCR. The SSCP analysis of this fragment revealed no variation, possibly due to the lower detection efficiency of SSCP with large fragment size. Nested primers were, therefore, designed to amplify fragments of 234- and 486-bp. Polymorphism was detected only in the 486-bp fragment and the two variants were designated M$ sb1$ and M$ sb2.$ The allelic frequencies of M$ sb1$ and M$ sb2$ in bulls used by AI industry before 1970 were 0.67 and 0.33, and in bulls used by AI industry after 1980 the frequencies were 0.68 and 0.32, respectively. The frequency of these alleles were not significantly different in Holsteins used by AI industry before 1970 and after 1980. Unlike the apparent change in frequency of the A- and B-variants noted within exon IV, this polymorphism seems to have not responded to selection. However, a higher frequency of M$ sb1$ allele appeared to be associated with B-variant (exon IV) genotypes. The presence of these variants within the regulatory region may possibly be involved in the quantitative expression of $ kappa$-CN gene. (Abstract shortened by UMI.)

No description available.

The objective of this study was to evaluate the variability of growth curves of dairy heifers and estimate genetic parameters. 15066 records taken from birth until 26 months (808 days) on 2754 heifers of Quebec were considered. The pedigree file comprised 10123 animals. The Mixed procedure of SAS with ordinary polynomials was used for simple phenotypic analyses, fitting fixed linear, quadratic and cubic regressions of body weight (in kilograms) on age (in months) as well as random intercept, and random linear and quadratic regressions for each animal. The Wombat program (Meyer, 2007), with Legendre polynomials was used to estimate the genetic parameters by fitting fixed herd-year-season of birth and quartic regression of body weight on age in days, as well as random regressions for quadratic additive genetic and cubic permanent environmental effects. Heritability estimates of body weight ranged from 0.22 at around 70 days to 0.45 at around 210 days. Heritabilities of body weight at birth and 808 days were 0.35 and 0.32, respectively. The additive genetic correlations between body weights at different ages ranged from -0.37 to 1.00. In general, the genetic correlations were higher than the permanent environmental and phenotypic correlations.

The growth hormone receptor gene (GHR) has been previously documented to be a good candidate gene for detection of a quantitative trait locus (QTL) which influences milk production in Holstein cattle. In this study, the promoter region of the GHR gene and microsatellite markers AGAL29 and BM5004 were studied. Their effects on milk yield (MY), fat yield (FY), protein yield (PY), fat percentage (FP) and protein percentage (PP) were examined. DNA was isolated from 1746 used by the artificial insemination (AI) industry representing 26 half-sibling families. Three polymorphisms in the GHR gene were genotyped (GHRAlu, GHRAcc and GHR Stu) along with both microsatellites. The markers were analyzed in a cross-family analysis. The model included a population mean, a fixed grandsire effect, a fixed allele effect and a random residual error. The data was also analyzed using a nested model in a granddaughter design to investigate a possible consistency in the allelic effect in individual families. Lastly, the data was analyzed using the haplotypes of GHRAlu and GHR Acc, using the same model as the cross-family analysis. It included an analysis of a fixed haplotype effect instead of a fixed allele effect. (Abstract shortened by UMI.)

No description available.

No description available.

Stearoyl-CoA desaturase1 (SCD1) catalyzes the synthesis of conjugated linoleic acid (CLA) and mono-unsaturated fatty acids (MUFA) in the mammary gland of ruminant animals. We hypothesized that single nucleotide polymorphisms (SNPs) in the coding region, 5' and 3' untranslted regions (UTRs) of the SCD1 gene would influence the activity of SCD1 enzyme and consequently account for some within-breed variations in milk CLA and MUFA. Sequence analysis of the coding region of the SCD1 gene of Jerseys and Holsteins revealed c.702A&rarr;G, c.762T&rarr;C and c.878C&rarr;T SNPs in exon 5 in both breeds and c.435G&rarr;A in exon 3 in Holsteins. The SNPs resulted in: A (G435A702T 762C878), A1 (A435A702T 762C878), B (G435G702C 762T878) and B1 (A435G702C 762T878) coding variants in Holsteins and only variants A and B in Jerseys. Only SNP 878C&rarr;T resulted in a non-synonymous codon change resulting in p.293Ala and p.293Val protein variants or alleles at the SCD1 locus. Subsequent association studies found significantly higher C10 index, C12 index and C14 index and consequently higher concentrations of C10:1 and C12:1 in p.293AA cows compared to the p.293VV cows in both breeds. The SCD1 genotype had no influence on concentrations of C141, C16:1, C18:1 and CLA in both breeds. / Sequence analysis of the 5' and 3' UTRs revealed no SNPs in the 5'UTR and a total of 14 SNPs in the 3'UTR of both breeds. The SNPs were in complete linkage disequilibrium resulting in 3 haplotypes or regulatory variants: H1 (G1571G1644C1763C2053A2584 A3007C3107G3208 T3290G 3497G3682A4399C4533G4881), H2 (G1571G1644A1763C2053A 2584G3007 C3107G3208T3290G3497G 3682A4399C4533G4881) and H3 (T 1571C1644A1763 T2053G2584G3007T 3107A3208C3290A3497A3682T 4399T4533A4881) in Holsteins and only H1 and H3 variants in Jerseys. A subsequent association study involving 862 Holstein cows, found the H1 regulatory variant to be associated with higher C10 and C12 desaturase indices and consequently with higher concentrations of C10:1 and C12:1 compared with the H3 variant. The effects of the H2 variant were intermediate to those of H1 and H3. 3'UTR genotype had no influence on the concentrations of C14:1, C16:1, C18:1 and CLA. The concentrations of C10:1 and C12:1 in milk fat could therefore be due to effects of SNPs in the open reading frame and the 3'UTR regions of the SCD1 gene. These results indicate that SNPs in the coding and 3'UTR regions of the SCD1 gene could be used as markers for genetic selection for increased C10:1 and C12:1 contents of milk.

No description available.