[Truncated abstract] During the last fifty years mathematical models of catchment hydrology have been widely developed and used for hydrologic forecasting, design and water resources management. Most of these models need large numbers of parameters to represent the flow generation process. The model parameters are estimated through calibration techniques and often lead to ‘unrealistic’ values due to structural error in the model formulations. This thesis presents a new strategy for developing catchment hydrology models for representing streamflow and salinity generation processes. The strategy seeks to ‘learn from data’ in order to specify a conceptual framework that is appropriate for the particular space and time scale under consideration. Initially, the conceptual framework is developed by considering large space and time scales. The space and time scales are then progressively reduced and conceptual model complexity systematically increased until ultimately, an adequate simulation of daily streamflow and salinity is achieved. This strategy leads to identification of a few key physically meaningful parameters, most of which can be estimated a priori and with minimal or no calibration. Initially, the annual streamflow data from ten experimental catchments (control and cleared for agriculture) were analysed. The streamflow increased in two phases: (i) immediately after clearing due to reduced evapotranspiration, and (ii) through an increase in stream zone saturated area. The annual evapotranspiration losses from native vegetation and pasture, the ‘excess’ water (resulting from reduced transpiration after land use change), runoff and deep storage were estimated by a simple water balance model. The model parameters are obtained a priori without calibration. The annual model was then elaborated by analysing the monthly rainfall-runoff, groundwater and soil moisture data from four experimental catchments. Ernies (control, fully forested) and Lemon (53% cleared) catchments are located in zone with a mean annual rainfall of 725 mm. Salmon (control, fully forested) and Wights (100% cleared) are located in zone with mean annual rainfall of 1125 mm. Groundwater levels rose and the stream zone saturated area increased significantly after clearing. From analysis of this data it was evident that at a monthly time step the conceptual model framework needed to include a systematic gain/loss to storage component in order to adequately describe the observed lags between peak monthly rainfall and runoff.

This diploma thesis summarizes knowledge of significant genetically contitioned deseases occurring in border collies. There is described a total of 14 diseases, some with the location of causal mutation not yet known. Primary focus of this thesis is g.4411956_4411960delGTTT mutation of gene VPS13B causing Trapped Neuthrophil Syndrome (TNS), MDR1 gene's mutation AF045016.1: c.227_230delATAG associated with multidrug resistance (MDR1) and CUBN gene's mutation c.8392delC which causes intestinal malabsorption of cobalamin by another name ImerslundGräsbeck syndrome (IGS). A genotype analysis of 89 border collies with a proof of origin was performed. The DNA was extracted from buccal mucosal swabs, the isolation of DNA was performed by Chelex-100 from the native material. The analysis was proceeded by optimized PCR-RFLP method using restrictive MboI (MDR1) and Msl I (IGS) enzymes. There were detected 4 g.4411956_4411960delGTTT mutation vectors causing TNS. As for the MDR1 and IGS there wasn't detected any affected case.

<p>  </p> <p>With the discovery and treatment of any disease comes the important question of its genetic prevalence. This is especially important for animals under strict breeding control, such as dogs, because this can provide essential information regarding breeding pair decisions. Thus, the focus of this thesis is to investigate the genetic prevalence of three different diseases: 1) Factor VII Deficiency (FVIID), 2) Collie Eye Anomaly (CEA), and 3) Progressive Rod-Cone Degeneration-Progressive Retinal Atrophy (prcd-PRA). Factor VII Deficiency (FVIID) is a clotting disorder observed in both humans and dogs, characterized by impeded function of the Factor VII protein. In dogs, FVIID is caused by a single nucleotide substitution (c.407G>A) in the <em>F7 </em>gene. This mutation, identified in a colony of research Beagles, is also present in dogs with a wide variety of distantly-related breed backgrounds and in mixed-breed dogs, suggesting an ancient, ancestral origin. Given the relatively common presence of this variant, it was hypothesized that this genetic mutation could be contributing to excessive bleeding in canine autopsy cases that could not be attributed to typical causes. DNA from formalin-fixed paraffin-embedded tissues (n = 67 cases) were Sanger sequenced for the FVIID c.407G>A mutation, and all were determined to be homozygous wild-type. Therefore, the tested variant is not associated with the unexplained bleeding in these cases, and it is not a logical diagnostic test to apply to similar cases in the future.</p> <p><br></p> <p>CEA and prcd-PRA are ophthalmic genetic diseases of concern often included in commercial genetic testing panels. A large dataset spanning 15+ years provided by a commercial partner company (OptiGen/Wisdom Panel, Kinship) encompassed dogs tested for the CEA-associated <em>NHEJ1</em> deletion (n = 33,834 dogs) and the prcd-PRA causal mutation in <em>PRCD</em> (n = 86,667 dogs). Disease trends were observed graphically and analyzed with Chi-square goodness-of-fit testing and regression modeling for disease status and genotype classification. Both diseases had a statistically significant change in genotype frequencies from the first year of data to the last; both diseases also had a negative association between progression of time and overall probability of a dog being disease-positive or a carrier/heterozygous. This suggests that genetic testing results are being incorporated into breeding decisions, although affected dogs were still being identified by the end of this study. Different breeds, AKC groups, FCI groups, genetic clades, and geography were also investigated to determine impact on overall disease trend. </p>