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Biomedical subjects

B W Kennedy

Publications and source records attributed to B W Kennedy.

At least 19 recordsLinked to original sources

Fertility of dairy cows in Northern Ireland.

A comprehensive database was established on the milk production and reproductive performance of dairy cows in 19 selected herds in Northern Ireland, varying in size, management system and genetic merit. Data were obtained for 2471 cows, 1775 of which calved in a second year, and 693 were culled from the herd for specific reasons. The estimated mean rate of heat detection (assessed by the interheat interval during the main breeding season) in all the herds was 71 per cent, with a range from 53 to 92 per cent The average conception rate to first insemination was 37.1 per cent (range 21 to 66 per cent). The average calving interval for the retained cows was 407.2 days (range 359 to 448 days). Twenty-eight per cent of the cows that calved were culled, with infertility being the largest single reason (26.8 per cent of the cows culled). There were major differences in reproductive performance between the herds, but heat detection rate, conception rate and calving interval did not appear to be affeded by a herd's genetic merit. The herds with shorter calving intervals were characterised by better heat detection efficiency (83 v 61 per cent, P<0.01), a shorter interval from calving to first insemination (74 v 97 days; P<0.05), a higher conception rate to first insemination (45 v 34 per cent, P>0.10) and a lower removal rate (23 v 37 per cent, P<0.01). Furthermore, the cows in these herds had lower body condition scores (BCS) in the dry period (3.0 v 3.3; P<0.05) but lost less body condition in early lactation (0.3 v 0.6 BCS units, P<0.05). These results show that dairy herd fertility in Northern Ireland is generally low and similar to that previously reported for England and the USA, but that in some herds changes in herd management practices improved the cows' fertility.

Animal Nutritional Physiological Phenomena↗

Sensitivity of segregation analysis to data structure and transformation: a case study of trypanotolerance in mice.

Sensitivity of segregation analysis for data structure and data transformation was studied using data from two trials in which mice were challenged at three months of age with a cloned isolate of Trypanosoma congolense and survival time was recorded. Data included records from three inbred strains (C57BL/6 (tolerant), A/J, and BALB/c (both susceptible)) and their crosses. Data were standardized and normalized using a modified power transformation. Segregation analysis was applied to both untransformed and transformed data to determine the genetic inheritance of trypanotolerance in these mice. Data from the two trials were analysed separately and combined. Four genetic models were compared; a one locus model, a polygenic model, a mixed model with common variance, and a mixed model with different variances for each major genotype. Even though the separate data sets and the combined data set all supported the hypothesis of a major gene (or a tightly linked cluster of genes) with different variances within each genotype, parameter estimates were highly sensitive to data transformation and several sets of parameter estimates gave similar likelihood values because of high dependency between parameters. Based on the results segregation analysis can be very sensitive to data structure in a crossbreeding design and to data transformation. Interpretation of the results can be misleading if the entire parameter space is not studied carefully.

Animals↗

Estimation of genetic parameters for litter size in Canadian Yorkshire and Landrace swine with each parity of farrowing treated as a different trait.

Genetic variances and covariances for the number of pigs born in total (NOBT), the number of pigs born alive (NOBA), and the number of weaned pigs (NOW) were estimated by REML under an animal model. Data on 30,357 and 42,041 litters born between 1977 and 1992 from Yorkshire and Landrace sows, respectively, were obtained from the Quebec Record of Performance sow productivity program. Data of the first four parities of litter size were used for four different analyses under an animal model: univariate analyses with direct genetic effects only, univariate analyses with maternal and direct genetic effects , seri0s of bivariate analyses with each parity treated as a different trait, and a series of bivariate analyses between NOBT, NOBA, and NOW within each parity. Heritabilities of different parities from univariate analyses under a direct genetic effects model ranged from .10 to .15, .09 to .14, and .06 to .08 for NOBT, NOBA, and NOW, respectively. Estimates of direct heritability from bivariate analyses between parties were consistent with estimates from univariate analyses in Landrace but not in Yorkshire. Genetic correlations between first and secondary parity in Yorkshire were .59, .49, and .17 for NOBT, NOBA, and NOW, and in Landrace were .90, .93, and .81, respectively. Influence of maternal effects on moderate correlations between first and secondary parity in Yorkshire was suggested. Genetic correlations averaged over all parities between NOBA and NOBT or NOW were .97 and .65 in Yorkshire and .97 and .82 in Landrace. A multiple-trait animal model with parities treated as different traits was recommended.

Aging↗

Genetic parameters for common health disorders of Holstein cows.

Observations on 7416 Canadian Holstein cows were examined to estimate genetic parameters for the most common diseases of dairy cows. Mastitis, ovarian cyst, ketosis, milk fever, abomasal displacement, and culling that is due to reproductive failure or leg problems were analyzed as binomial traits, assuming an underlying threshold model that included fixed and random effects. Sire and residual components of variance were estimated by REML to provide heritability estimates from paternal half-sibs. A multiple-trait mixed model was also used to estimate genetic and environmental correlations between production and disease traits. Heritabilities of disease traits were relatively low and ranged from 0 to .15, except for displaced abomasum (h2 = .28). Evidence of genetic antagonism existed between incidence of mastitis and milk production. Incidence of milk fever was genetically associated with cows of lower genetic potential for production. Genetic associations between displaced abomasum and production traits were small, and estimates of genetic correlations between ovarian cyst and milk production were inconsistent across lactations. Ketosis was antagonistically associated genetically with production of milk and fat but was favorably associated with production of protein. The long-term cumulative effect of genetic selection against diseases might be useful to diminish their incidence.

Abomasum↗

Production traits of Holstein cattle: estimation of nonadditive genetic variance components and inbreeding depression.

Additive, dominance, and additive by additive components of genetic variance and inbreeding depression were estimated for production traits from a group of daughters of young sires from the Canadian Holstein population. First lactations of 92,838 cows were analyzed. Three sire and dam models (additive, additive plus dominance, additive plus dominance plus additive by additive genetic effects), all including regression of the trait on inbreeding coefficient of the cow, were used to estimate the effect of inbreeding on production traits. For all production traits, heritability in the narrow sense was overestimated with the simplest model, in which only the additive effect was fitted. Estimates of dominance variance were low for all traits, .9 to 3%. Additive by additive components were low for milk, 2.8%, and fat yield, 2.8%, but higher for protein yield, 6.8%, and for fat, 9%, and protein percentages, 8.9%. Estimates of inbreeding depression for the five traits were similar across all models (-25, -.9, and -.8 kg; .05% and .05% per 1% increase in inbreeding for milk, fat, and protein production and fat and protein percentages, respectively). More accurate estimates of additive effects might be obtained with the inclusion of nonadditive effects for genetic evaluation. If the estimation of inbreeding depression is the only objective, simple models and small random samples of the population may be adequate.

Animals↗

Opioid peptides, adrenocorticotrophic hormone, and idiopathic (orthostatic) edema.

The effect of dextroamphetamine sulfate (Dexedrine) on plasma opioid peptides, hormones, and other metabolites was studied in eight female subjects with idiopathic (orthostatic) edema and five healthy females. All subjects were given 20 mg of dextroamphetamine sulfate, a drug widely used in the treatment of this disorder, and blood samples were collected before and 30, 60, and 90 minutes after treatment. Patients with idiopathic (orthostatic) edema had significantly lower plasma sodium levels but higher blood urea nitrogen, aldosterone, and renin levels. D-amphetamine decreased aldosterone and renin levels in both groups. Plasma adrenocorticotropin levels were lower whereas met-enkephalin levels were higher in idiopathic (orthostatic) edema subjects compared to control subjects. D-amphetamine had no significant effect on plasma beta-endorphin, adrenocorticotrophic hormone, or enkephalins. Our data indicate that opioid peptides, especially enkephalins, and adrenocorticotrophic hormone may be involved in the pathogenesis of idiopathic (orthostatic) edema syndrome, but they seem uninvolved in the aldosterone- and renin-lowering action of amphetamine. It is possible that amphetamine is acting further down the chain, either directly on the adrenal and kidney or the microvasculature, rather than at hypothalamus-pituitary axis.

Adrenocorticotropic Hormone↗

Genetic parameters for growth rate and backfat in Canadian Yorkshire, Landrace, Duroc, and Hampshire pigs.

Records on 47,360 Yorkshire, 28,762 Landrace, 14,020 Duroc, and 9,983 Hampshire pigs for backfat depth and days to 100 kg made between 1989 and 1992 in herds on the Ontario Swine Improvement Program (OSIP) were used to estimate additive genetic (animal), common environmental (litter), and residual variances and covariances of the two traits. Analysis was by the DFREML program of K. Meyer using a multiple-trait individual animal model with fixed effects of genetic groups and herd-year-season-sex and random effects of animal, litter, and residual. A complete relationship matrix was used. Heritabilities were .51, .53, .55, and .50 for backfat and .31, .30, .26, and .32 for days to 100 kg in Yorkshire, Landrace, Duroc, and Hampshire, respectively. Genetic correlations between backfat and days to 100 kg were -.16, -.06, -.17, and -.10 for Yorkshire, Landrace, Duroc, and Hampshire. Respective phenotypic correlations were -.08, -.04, -.12, and -.09. Litter effects were large, particularly for days to 100 kg. Resulting common environmental (c2) effects were .11, .10, .10, and .11 for backfat and .26, .27, .29, and .22 for days to 100 kg for Yorkshire, Landrace, Duroc, and Hampshire. Estimates were highly consistent across breeds and average heritabilities of backfat and days to 100 kg were .52 and .30. Corresponding average c2 effects were .10 and .26. Average genetic and phenotypic correlations between backfat and days to 100 kg were -.13 and -.08.

Adipose Tissue↗

Genetic parameters for litter size of different parities in Duroc, Landrace, and large white sows.

Univariate and multivariate analyses were performed for litter size born alive and at 21 d in Duroc, Landrace, and Large White sows raised in southern Brazil. Variance and covariance components were estimated for first, second, and third parities, and for different sets of parities using DFREML under animal models with direct and maternal genetic effects. Additive direct genetic variances were different for breeds and for parities within breeds. Most estimates of heritability of direct effects were higher than the average value of .10 reported in the literature, and were two to five times the size of their standard errors, indicating that opportunities for genetic improvement of litter size in these breeds may be greater than assumed on the basis of previous reports. Maternal additive genetic variances were higher in second than in first or third parities, but were significant only for Large White sows. Genetic correlations for all breeds were high between first and third, and between second and third parities, but were low, in the range of .32 and .48, between first and second parities. For this reason, multiple-trait genetic evaluation of animals for litter size should be used to estimate breeding values when first and later parity records are involved.

Analysis of Variance↗

Method and effect of adjustment for heterogeneous variance of Holstein conformation traits.

Type classification records of Canadian Holsteins were investigated for evidence of heterogeneous variance across herds. Data consisted of records for 1,139,104 cows from 20,226 herds with classifications on 26 conformation traits collected from 1982 through 1992 and 338,046 cows from 9600 herds with classifications on 2 additional traits from 1990 through 1992. Phenotypic standard deviations of herd-round-classifier were fitted to a mixed model that included round, classifier, and region as fixed effects, herd size as a covariant, and herd as a random effect. Estimates of the variance components, solutions of fixed effects, and BLUP estimates for herd were obtained by maximum likelihood procedures. Repeatability of within-herd standard deviation across rounds ranged from 1.4 to 10.3% for the 28 traits. Type classification data were subsequently standardized for phenotypic standard deviations of herd-round-classifier that were derived from estimates of the fixed effects and the BLUP estimate of the herd effect. Genetic evaluations for cows and bulls were produced from adjusted and unadjusted data. Correlations between 3754 sire and 1,142,782 cow estimated transmitting abilities obtained from unadjusted and adjusted data were essentially unity. Although some evidence of heterogeneous variance existed across herds for 28 conformation traits, standardization of the classification records had only a minor effect on genetic evaluations.

Animals↗

Effect of selection of swine for high and low immune responsiveness on monocyte superoxide anion production and class II MHC antigen expression.

Monocyte function was investigated in second (G2) and third (G3) generation pigs selected for high and low antibody and cell-mediated immune responsiveness. In groups of pigs from the high-and low-immune response lines, monocyte release of superoxide anion (O2-) was assayed in response to phorbol 12-myristate-13-acetate and expression of the Class II-MHC (MHC-II) antigens SLA-DR and SLA-DQ, determined using flow cytometry. Analysis of variance using a linear model demonstrated no significant intergroup differences in O2- production by lymphokine-activated monocytes from G2 pigs. In G3 pigs, there were no significant intergroup differences in the percentage of MHC-II+ cells or in the density of expression of either SLA-DR or SLA-DQ. In individual pigs, monocyte SLA-DR and SLA-DQ expression was similar in terms of the percentage of MHC-II+ cells and in the magnitude of MHC-II expression. Litter contributed significantly to variation in monocyte O2- production in G2 pigs (P < or = 0.005) and SLA-DQ (P < or = 0.01) expression. Although the lines differed significantly in correlates of antibody and cell-mediated immune response, there was no apparent effect of selection for high and low immune responsiveness in swine on monocyte O2- production and MHC-II expression.

Animals↗

A method of screening for genes of major effect.

This paper describes a method for screening animal populations on an index of calculated probabilities of genotype status at an unknown single locus. Animals selected by such a method might then be candidates in test matings and genetic marker analyses for major gene detection. The method relies on phenotypic measures for a continuous trait plus identification of sire and dam. Some missing phenotypes and missing pedigree information are permitted. The method is an iterative two-step procedure, the first step estimates genotype probabilities and the second step estimates genotypic effects by regressing phenotypes on genotype probabilities, modeled as true genotype status plus error. Prior knowledge or choice of major locus-free heritability for the trait of interest is required, plus initial starting estimates of the effect on phenotype of carrying one and two copies of the unknown gene. Gene frequency can be estimated by this method, but it is demonstrated that the consequences of using an incorrect fixed prior for gene frequency are not particularly adverse where true frequency of the allele with major effect is low. Simulations involving deterministic sampling from the normal distribution lead to convergence for estimates of genotype effects at the true values, for a reasonable range of starting values, illustrating that estimation of major gene effects has a rational basis. In the absence of polygenic effects, stochastic simulations of 600 animals in five generations resulted in estimates of genotypic effects close to the true values. However, stochastic simulations involving generation and fitting of both major genotype and animal polygenic effects showed upward bias in estimates of major genotype effects. This can be partially overcome by not using information from relatives when calculating genotype probabilities-a result which suggests a route to a modified method which is unbiased and yet does use this information.

Alleles↗

Drug-induced hyperthermia.

Drugs with antidopaminergic properties and those capable of stimulating serotonin release can be responsible for hyperthermia syndromes such as neuroleptic malignant syndrome and serotonin syndrome. Dopamine and serotonin are important neurotransmitters in temperature regulation and it is likely that these reactions result from drug-induced changes in neurotransmitter levels. We describe three cases of drug-induced hyperthermia, discuss their aetiology and management, with both general measures and therapies designed to redress neurotransmitter imbalance.

3,4-Methylenedioxyamphetamine↗

Personality traits as predictors of anxiety prior to caesarean section under regional anaesthesia.

One hundred and fifteen patients scheduled for elective Caesarean section under regional anaesthesia were questioned to determine their personality profiles and anxiety state. Positive correlations were found between neuroticism and anxiety scores (p < 0.05). Patients with tendencies towards both neuroticism and introversion had higher pre-operative anxiety scores than other personality types (p = 0.015). In general, previous experience did not reduce pre-operative anxiety and personality appeared to be a better predictor of anxiety prior to Caesarean section under regional anaesthesia. Some personality types might benefit from additional support to improve their ability to cope with this stressful event.

Adult↗

Effect of selection for maternal and direct genetic effects on genetic improvement of litter size in swine.

Optimum weighting ratios of maternal:direct EBV for litter size using an animal model were examined to achieve maximum genetic improvement (direct plus maternal response). Stochastic simulation of a 120-sow herd over a 10-yr period of selection was used (20 replicates). Directional selection was based on a merit function of maternal and direct EBV for first-parity litter size. Optimum weighting ratios for maternal to direct EBV in pure- and crossbreeding schemes with different genetic correlations between maternal and direct effects were obtained. Genetic gain in maternal and direct effects was more sensitive to change in weighting ratios of maternal to direct estimates of breeding values under an animal model than earlier theoretical studies showed for selection index. In the purebreeding scheme, the weighting ratios of maternal:direct effects of 1:1, 1.25:1, and -.5:1 resulted in the highest overall response of 3.11, 1.73, and .69 pigs after 10 yr of selection with genetic correlations between maternal and direct effects of 0, -.5, and -.9, respectively. In the crossbreeding scheme with a male dam line selected for direct effects only and a female dam line selected for an optimum weighting ratio of maternal and direct effects the overall response was always higher with 3.19, 1.89, and 1.31 pigs/10 yr for the genetic correlations 0, -.5, and -.9, respectively, than in the purebreeding scheme. With a large negative correlation between maternal and direct effects a meaningful overall response of litter size was achieved only in the crossbreeding scheme. The effect of negative weighting of maternal effects to increase direct response with a large negative correlation between maternal and direct effects was also examined as well as the influence of weighting ratios on accuracy of evaluation, additive genetic variance, prediction error variance, and correlation between maternal and direct EBV.

Animals↗

Genetic and statistical properties of residual feed intake.

Residual feed intake is defined as the difference between actual feed intake and that predicted on the basis of requirements for production and maintenance of body weight. Formulas were developed to obtain genetic parameters of residual feed intake from knowledge of the genetic and phenotypic parameters of the component traits. Genetic parameters of residual feed intake were determined for a range of heritabilities (h2 = .1, .3, or .5) for component traits of feed intake and production, and genetic (rg = .1, .5, or .9) and environmental (re = .1, .5, or .9) correlations between them. Resulting heritability of residual feed intake ranged from .03 to .84 and the genetic correlation between residual feed intake and production ranged from -.90 to .87. Heritability of residual feed intake depends considerably on the environmental correlation between feed intake and production. Residual feed intake based on phenotypic regression of feed intake on production usually contains a genetic component due to production. Residual feed intake based on genotypic regression of feed intake on production is genetically independent of production and its use is equivalent to use of a selection index restricted to hold production constant. Multiple-trait selection on residual feed intake, based on either phenotypic or genetic regressions, and production is equivalent to multiple-trait selection on feed intake and production. Residual energy intake in dairy cattle was examined as an example. Heritability of residual energy intake based on genotypic regression was close to zero and indicated that measurement of feed intake provides little additional genetic information over and above that provided by milk production and body weight. The principles outlined in this study have broader application than just to residual feed intake and apply to any trait that is defined as a linear function of other traits.

Animals↗

Efficiency of an approximate animal model for maternal and direct genetic effects of litter size in swine.

A simulated population of 120 sows and 24 boars in service per year was used to compare genetic evaluations for first-parity litter size and selection response when approximate and complete animal models were used. The complete animal model included maternal and direct effects. The approximate model did not account for covariances between maternal breeding values, or between maternal and direct breeding values, but included a random litter effect of birth of sow. After 10 yr of selection, the overall response (maternal plus direct) was 2.94, 1.61, and .77 pigs using the approximate model and 3.11, 1.65, and .67 pigs using the complete model with equal weighting of maternal and direct genetic effects in the aggregated breeding value for genetic correlations between maternal and direct effects of 0, -.5, and -.9, respectively. Higher reduction was obtained in direct genetic response that was 5, 8, and 19% lower using the approximate model than the complete model for genetic correlations of 0, -.5, and -.9, respectively. Use of the approximate model over 10 yr of selection resulted in a bias of estimation of direct genetic trend of .24, .54, and .48 pigs and in bias in estimated overall response (maternal plus direct) of -.49, .67, and 1.28 pigs for genetic correlations between maternal and direct effects of 0, -.5, and -.9, respectively. Bias in environmental trend estimated from year-season effects was of the same magnitude as the bias in estimated overall response but with an opposite sign. With the approximate model, maternal genetic response was due to a correlation between maternal genetic effects and direct EBV, which for an embedded trait such as maternal genetic effects occurred even when there was no correlation between their true genetic effects. Findings suggested that over the short term the approximate model can be used without substantial loss of overall response but the use of the complete model was recommended because of unbiased estimates in genetic and environmental trend and higher direct genetic response.

Animals↗

Considerations on genetic connectedness between management units under an animal model.

Connectedness among management units (e.g., herds or regions) is of concern in genetic evaluation. When genetic evaluation is under an animal model, connections occur through A, the numerator relationship matrix. It is argued that the most appropriate measure of connectedness is the average prediction error variance (PEV) of differences in EBV between animals in different management units. It is shown that PEV of differences is influenced by average genetic relationship between and within management units, which in turn affects the variances of estimates of differences between management unit effects. When PEV of differences cannot be computed, use of one of three alternative measures is proposed; the gene-flow method that measures the exchange of genes between management units, measurement of genetic drift variance based on average relationships between and within management units, and measurement of the variance of estimated differences between management units effects. These were correlated with PEV of differences in a test simulation. The gene-flow method, which is simplest to compute, had the lowest correlation (.671). The drift variance and variance of management unit effects methods were highly correlated with PEV of differences (.924 and .995, respectively).

Animals↗

The influence of maternal effects on accuracy of evaluation of litter size in swine.

The influence of maternal genetic effects on response to selection was examined by stochastic simulation. The selection process of a closed herd of 120 sows, with 24 boars entering the breeding herd each year, was simulated over 10 yr. Effects of different magnitudes of maternal heritability (0, .025, .05), genetic correlations between maternal and direct effects (0, -.5, -.9) and evaluation models (with or without maternal effects, referred to as complete or incomplete model) on response to selection, accuracy of evaluation, prediction error variance (PEV), bias, and mean squared error (MSE) were analyzed for litter size with a direct heritability of .10. Directional selection of replacement animals was on EBV of direct effects for first-parity litter size under an animal model. Using a complete animal model with maternal effects, response in direct genetic effects increased with magnitude of maternal heritability (0 to .05) from 2.22 to 2.32 pigs after 10 yr, when there was no correlation between direct and maternal effects. Additionally, a positive maternal response was achieved (with maternal heritability > 0), although no selection was on maternal EBV. Reduction in direct response due to negative genetic correlations between direct and maternal effects was up to 18% after 10 yr of selection. More important was the negative maternal response, which was up to -1.27 pigs after 10 yr for a genetic correlation of -.9. Consequently, the overall genetic merit (maternal plus direct) was reduced up to 77% compared with when maternal and direct effects were genetically independent.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗