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Estimates of genetic and phenotypic parameters of lifetime performance traits and estimates of correlations between these and first lactation traits were obtained using multitrait mixed model and Restricted Maximum Likelihood (REML) methodologies, and accounting for all known additive genetic relationships amongst animals in sires pedigree. Part-lifetime performance traits, i.e. two-, three, and four-parity totals of yield and profit, were also included in the analysis. Data were on 82,835 Holstein cows, daughters of 703 sires, calving first between September 1979 and December 1984 in the herds enrolled in Quebec Dairy Herd Analysis Service (QDHAS). Lifetime performance records, however, continued through December 1989. / Results of analysis indicated low estimates of heritability for lifetime performance traits, e.g., lifetime production and profit (.11$ sim$.13) and longevity (.07$ sim$.09). However, production per day of productive life traits had moderate heritability (.28$ sim$.32). Estimates of genetic and phenotypic parameters decreased from part-lifetime to total lifetime performance because residual variances increased at a greater rate compared to rate of increase in sire variances. Both genetic and phenotypic correlations amongst lifetime production, lifetime profit and longevity traits were very high and approached unity in all cases. / Estimates of genetic and phenotypic correlations of first lactation production and profit traits with all measures of part and total lifetime performance were positive and high. These correlations decrease from part-lifetime to total lifetime performance due to part to whole relationships. / Estimates of parameters of lifetime performance traits were mostly free of the effects of selection on milk production. Positive and high genetic correlation of first lactation milk yield with all lifetime performance traits indicated that selection on first lactation milk yield alone will improve all measures of lifetime performance. However, some consideration should be given to measures of reproduction and health which may help in improving the longevity of dairy cattle. (Abstract shortened by UMI.)

In dairy cattle, treatment with exogenous growth hormone (GH) affects growth and function of mammary gland. The actions of GH are mediated via interaction with GH receptors (GHR). The first step in signal transduction is homodimerization of two GHR molecules by GH. This step is critical since mutation in either GH or GHR can block dimerization and thus target cell activation. However, association between milk related traits and combination of GH and GHR variations are not known. Accordingly, DNA genotypes in the GH and GHR genes were investigated for association with milk, fat and protein lactation yields in Holsteins. The marker data were obtained on 873 progeny tested bulls by using PCR-RFLP and PCR-SSCP analysis. There were five markers in GH and three in GHR. Estimated breeding values (EBVs) were obtained from Canadian Dairy Network for milk, fat, and protein lactation yields for the 873 genotyped bulls. / There was significant difference among GH6.1 alleles (C-to-G transversion at position 2141) for the milk yield (P < 0.05) and protein yield (p < 0.05). There were significant differences in GHR AluI (A-to-T transversion at -1182) for milk (p < 0.05) and fat (p < 0.05), and GHR StuI (C-to-T transversion at -232) for fat (p < 0.0001) and protein (p < 0.05). Allele frequencies for GH6.1 (C), GHR AluI (A) and GHR StuI (C) alleles in bulls genotyped were 0.95, 0.63 and 0.95, respectively. Bulls with GH6.1 (C/G) genotype had higher milk EBV (p < 0.05) compared to C/C bulls. Bulls with GHR AluI (A/A) genotype had higher milk EBV (p < 0.01) and fat EBVs (p < 0.05). Bulls with StuI (C/C) genotype had higher fat EBV (p < 0.0001) and protein EBV (p < 0.05) compared to StuI (C/T). This study indicates that the combination of GH and GHR markers could serve as a tool to aid in selection for improving milk, fat, and protein production.

Increase in profits corresponding to a one unit increase in Estimated Breeding Value (EBV) for 3 production traits and for 21 type traits were estimated from 31,123 merged "Official" first lactation records, type records and Estimated Breeding Value (EBVs) records of Canadian Holstein cows using multivariate REML and a mixed model accounting for herd and year of calving effects. The same regression model was used to estimate the same profit increases corresponding to a one unit change in EBVs from 336 merged "Non-Official" first lactation records, type records and EBV records of Canadian Holstein Cows to investigate whether purebred breeders are selecting their animals according to type and production performances while commercial producers are selecting animals that maximize their milk profits. Finally, the usefulness of DHAS cow records for increasing milk profits was investigated by comparing the average profit level of cows with "Official" milk records and their time of registration under the DHAS scheme. / Size had the largest negative impact on profits, with estimates ranging from $-$41.70 $ pm$ 6.60 to $-$26.62 $ pm$ 5.91. Chest width and fore attachment had the largest positive impact on profits, with estimates ranging from 4.30 $ pm$ 5.94 to 16.82 $ pm$ 6.00 and from 4.71 $ pm$ 3.52 to 14.57 $ pm$ 3.97 respectively. Grade cows were found to have on average lower EBVs for most type and production traits than purebred cows. However, grade and purebred cows generated similar milk profits. Finally, the efficiency of using information provided by DHAS to increase profits did not increase with the number of years of participation with DHAS.

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This study, being part of a larger project - "Canadian/New Zealand GxE Interaction Trial" - is comparing Canadian and New Zealand sired heifers for growth traits within Canada, since differences for growth traits were found in the Polish strain comparison (Jasiorowski et al., 1987) and due to selection programs in the two countries. Twenty Canadian Holstein and twenty New Zealand Friesian progeny tested, A.I. bulls were randomly mated to over 1,000 cows in 10 Canadian herds. 3,539 records of weight and wither height from 475 heifers (i.e. 241 Canadian and 234 New Zealand sired) were generated. Subsets of the data for different stages of heifer maturity were analyzed separately. Herd and strain effects least squares means were estimated using analysis of variance. Genetic and phenotypic and correlations and heritability for weight and wither height were estimated by a Derivative-Free Restricted Maximum Likelihood (DFREML) algorithm and an animal model (AM). No differences were found between sire strains for weight except at 15 and 18 months where sib groups of Canadian (CN) sires were heavier than their New Zealand (NZ) contemporaries (393 vs 386 kg and 447 vs 445 kg, respectively). CN sired heifers were taller at all ages except at birth, 3 and 9 months of age. At 24 months CN heifers were 136 cm while NZ heifers were 133 cm. Heritability estimates for weight at birth was 0.62 for the CN strain and 0.59 for the NZ strain. CN estimates (3 to 6 months) and NZ estimates (3 to 9 months) were close to zero. Between 9 to 24 months CN strain estimates ranged from 0.44 to 0.69 while NZ estimates were 0.17 to 0.51. The joint estimates ranged from 0.10 to 0.66. Heritability estimates for wither height for CN strain at birth and between 9 to 21 months were between 0.34 to 0.66 and close to zero between 3 to 6 and at 24 months. The NZ estimates at birth, 18, 21 and 24 months were between 0.36 to 0.93 but close to zero between 3 to 15 months. The joint estimates ranged from 0.32 to 0.75 between 12 to 24 months. Genetic correlations between weight and wither height ranged from 0.62 to 1.0 for CN strain and from -0.04 to 0.91 for NZ strain between 4.5 to 21 months. At six months of age the genetic correlation for CN strain was -0.01 and NZ strain was 0.54. At birth, both sire groups had a genetic correlation of 1.0. At 24 months NZ strain had a genetic correlation of 0.84 while that of the CN strain was 0. Genetic correlations for the joint analysis ranged from 0.61 to 1.0 for all ages except at 6 months (0.18). Phenotypic correlations between weight and wither height were between 0.33 to 0.60 for CN group and 0.33 to 0.62 for NZ group. The joint estimates were 0.36 to 0.61. There were no differences in the phenotypic variances except at 9, 12 and 15 months. Genetic variances were different at all ages except at birth for weight. / Land and Food Systems, Faculty of / Graduate