77 research outputs found

    Maternal lineage effects and genetic diversity in the UK dairy population

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    There is a perceived importance of maternal families among dairy cattle breeders. The aim o f this study was to estimate the magnitude of the component of phenotypic variance attributable to maternal lineage for conformation and production traits in the UK Holstein Friesian dairy cow population. Various population parameters were also estimated.Advanced statistical methodology including restricted maximum likelihood was used to estimate maternal lineage variance. Production traits at the Langhill dairy herd were analysed to provide insight into feed intake and efficiency traits. Only fat yield had a significant component of phenotypic variance attributable to maternal lineage. In this trait 4% o f the variance was attributable to maternal lineage. Production records of over 50,000 cows from the UK Holstein Friesian population were used to estimate maternal lineage variance with a contemporary data structure. This data structure was used to reduce the average within maternal family nuclear genetic relationship while maintaining the same expected magnitude of maternal lineage variance.Dairy cattle breeders stress the importance of cow families in breeding for good conformation. To investigate this, type classification records of 32,000 heifers were analysed and maternal lineage variances estimated for all 23 conformation traits. Significance of the maternal lineage component was determined using a likelihood ratio test. Most researchers use an incorrect test when determining the significance level o f a component. An explanation of the correct test is given. Principal component analysis was used to determine the number of independent components accounting for the variance in type traits. This number was then used to establish the significance level of the variance component test statistic. The only type traits to show significant effects were stature, a linear type trait, and body, a composite trait. These traits had maternal lineage variance components of 1.0% and 1.5 % respectively.Population parameters of the UK Holstein Friesian cow population were estimated. Conservation biology parameters demonstrated that, when 1960 was treated as a pseudo founder generation, only an equivalent of 1% of the founders were responsible for the genomic diversity of the 1997 population. It was shown that the introduction of large numbers o f Holsteins from North America over recent years has reduced the level of inbreeding but at the same time reduced the genetic diversity of the population. It was found that in 1997 one ancestor accounted for 5% of the genome of the UK Holstein Friesian cow population. Average degree of relationship was also shown to be increasing at a rate o f 0.07% per year. It can be hypothesised that in the future the global Holstein Friesian population will show an increase in average inbreeding coefficient and average pairwise degree of relationship.A theoretical investigation was made of the consequences of incorrect maternal family assignment, through both pedigree errors and the inadequate tracing of pedigrees, on the magnitude of the variance component estimated. This demonstrated that the under­estimation of maternal lineage variance occurs unless complete family information is available and accurately recorded

    Implications of Host Genetic Variation on the Risk and Prevalence of Infectious Diseases Transmitted Through the Environment

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    Previous studies have shown that host genetic heterogeneity in the response to infectious challenge can affect the emergence risk and the severity of diseases transmitted through direct contact between individuals. However, there is substantial uncertainty about the degree and direction of influence owing to different definitions of genetic variation, most of which are not in line with the current understanding of the genetic architecture of disease traits. Also, the relevance of previous results for diseases transmitted through environmental sources is unclear. In this article a compartmental genetic–epidemiological model was developed to quantify the impact of host genetic diversity on epidemiological characteristics of diseases transmitted through a contaminated environment. The model was parameterized for footrot in sheep. Genetic variation was defined through continuous distributions with varying shape and degree of dispersion for different disease traits. The model predicts a strong impact of genetic heterogeneity on the disease risk and its progression and severity, as well as on observable host phenotypes, when dispersion in key epidemiological parameters is high. The impact of host variation depends on the disease trait for which variation occurs and on environmental conditions affecting pathogen survival. In particular, compared to homogeneous populations with the same average susceptibility, disease risk and severity are substantially higher in populations containing a large proportion of highly susceptible individuals, and the differences are strongest when environmental contamination is low. The implications of our results for the recording and analysis of disease data and for predicting response to selection are discussed

    Synthesis of direct and maternal genetic compounds of economically important traits from beef breed-cross evaluations

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    Published information on relative performance of beef breed crosses was used to derive combined estimates of purebred breed values for predominant temperate beef breeds. The sources of information were largely from the United States, Canada, and New Zealand, although some European estimates were also included. Emphasis was on maternal traits of potential economic importance to the suckler beef production system, but some postweaning traits were also considered. The estimates were taken from comparison studies undertaken in the 1970s, 1980s and 1990s, each with representative samples of beef breeds used in temperate agriculture. Weighting factors for breed-cross estimates were derived using the number of sires and offspring that contributed to that estimate. These weights were then used in a weighted multiple regression analysis to obtain single purebred breed effects. Both direct additive and maternal additive genetic effects were estimated for preweaning traits. Important genetic differences between the breeds were shown for many of the traits. Significant regression coefficients were estimated for the effect of mature weight on calving ease, both maternal and direct additive genetic, survival to weaning direct, and birth weight direct. The breeds with greater mature weight were found to have greater maternal genetic effects for calving ease but negative direct genetic effects on calving ease. A negative effect of mature weight on the direct genetic effect of survival to weaning was observed. A cluster analysis was done using 17 breeds for which information existed on nine maternal traits. Regression was used to predict breed-cross-specific heterosis using genetic distance. Only five traits, birth weight, survival to weaning, cow fertility, and preweaning and postweaning growth rate had enough breed-cross-specific heterosis estimates to develop a prediction model. The breed biological values estimated provide a basis to predict the biological value of crossbred suckler cows and their offspring

    Suboptimal herd performance amplifies the spread of infectious disease in the cattle industry

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    Farms that purchase replacement breeding cattle are at increased risk of introducing many economically important diseases. The objectives of this analysis were to determine whether the total number of replacement breeding cattle purchased by individual farms could be reduced by improving herd performance and to quantify the effects of such reductions on the industry-level transmission dynamics of infectious cattle diseases. Detailed information on the performance and contact patterns of British cattle herds was extracted from the national cattle movement database as a case example. Approximately 69% of beef herds and 59% of dairy herds with an average of at least 20 recorded calvings per year purchased at least one replacement breeding animal. Results from zero-inflated negative binomial regression models revealed that herds with high average ages at first calving, prolonged calving intervals, abnormally high or low culling rates, and high calf mortality rates were generally more likely to be open herds and to purchase greater numbers of replacement breeding cattle. If all herds achieved the same level of performance as the top 20% of herds, the total number of replacement beef and dairy cattle purchased could be reduced by an estimated 34% and 51%, respectively. Although these purchases accounted for only 13% of between-herd contacts in the industry trade network, they were found to have a disproportionately strong influence on disease transmission dynamics. These findings suggest that targeting extension services at herds with suboptimal performance may be an effective strategy for controlling endemic cattle diseases while simultaneously improving industry productivity
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