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<p>*missing page 78*</p> / <p>This thesis reflects an attempt to arrive at a full description of the ancient and medieval Indian Spring Festival (Vasantotsava) on the basis of descriptions found in Sanskrit texts and an analysis of the ritual activities of which this festival is composed. The thesis is divided into three chapters. The first contains a discussion of some of the problems encountered in studying the Spring Festival such as the time at which it was celebrated, differences in the manner in which it was celebrated and various sources which describe the festival. Chapter Two contains a description and analysis of the festival on the basis of five primary texts, the Ratnaval1, the Kathasaritsagara, the Vikramacarita, two chapters from the Bhavisya Purana, and the Virupaksavasantotsavacampu. Chapter Three provides a general concluding statement pertaining to the Vasantotsava and examines Vedic precedents often cited for this festival as well as selected descriptions of modern manifestations of this festival.</p> <p>The classic Ratnaval1, written by Ratnavali in the seventh century A. D. in central India, not only contains a detailed and vivid description of the Spring Festival but was written to be performed on this occasion as well. The Ratnaval1, in its description, emphasizes the rowdiness which characterizes this festival. Participants engage in drinking, singing, and dancing as well as the ritual of powder throwing. The Ratnaval1 also gives us information regarding the ritual worship of Kama, the Hindu god of love.</p> / Doctor of Philosophy (PhD)

In cold and snowy countries, water resources management and planning require accurate and reliable spring peak flow forecasts which call for adequate snowmelt estimation techniques. Thus, exploring the potential of snowmelt models to improve the spring peak flow prediction has been an active research area. Snow models vary in degree of complexity from simple empirical models to complex physically based models. Whereas majority of studies on snowmelt modeling have focused on comparing the performance of empirical snowmelt estimation techniques with physically based methods, very few studies have investigated empirical methods and conceptual models for hydrological applications. This study investigates the potential of a simple Degree-Day Method (DDM) to effectively and accurately predict peak flows compared to sophisticated SNOW-17 model at La-Grande River Basin (LGRB), Quebec and Upper Assiniboine river at Shellmouth Reservoir (UASR), Manitoba. Moreover, since hydrologic models highly rely on estimated parameter vectors to produce accurate streamflow simulations, accurate and efficient parameter optimization techniques are essential. The study also investigates the benefits of seasonal model calibration versus annual model calibration approach. The study is performed using two hydrological models, namely MAC-HBV (McMaster University Hydrologiska Byrans Vattenbalansavdelning) and SAC-SMA (Sacramento Soil Moisture Accounting) and their model combinations thereof. Results indicate that the simple DDM performed consistently better at both study sites and showed significant improvement in prediction accuracy at UASR. Moreover, seasonal model calibration appears to be an effective and efficient alternative to annually calibrated model especially when extreme events are of particular interest. Furthermore, results suggest that SAC-SMA model outperformed MAC-HBV model, no matter what snowmelt computation method, calibration approach or study basin is used. Conclusively, DDM and seasonal model optimization approach coupled with SAC-SMA hydrologic model appears to be a robust model combination for enhanced spring peak flow prediction. A significant advantage of aforementioned modeling approach for operational hydrology is that it demonstrates computational efficiency, ease of implementation and is less time-consuming. / Thesis / Master of Science (MSc)

Bud dormancy is an essential characteristic of deciduous woody perennials, including apple, to cope with the low temperatures during winter. The release from dormancy and subsequent budburst in apple can only occur after fulfillment of chilling and heat requirements. In the Mid-Atlantic region, dormancy release and bud break of apple often coincide with late-spring freezes that cause severe damages to flowers, and small fruitlets. Therefore, the present study aimed to better understand mechanisms underlying bud dormancy in apple, with an ultimate goal of exploring chemical and/or genetic approaches for bloom-time modulation to avoid spring frost. Using two apple cultivars, 'Cripps Pink' and 'Honeycrisp,' representing early- and late-blooming cultivars, respectively, the present study specifically investigated the accumulation kinetics of plant hormones, carbohydrates, and reactive oxygen species (ROS) throughout the dormancy-regrowth cycle. Our results indicated that both cultivars required 1000 chilling hours for endodormancy release, but 'Honeycrisp' required 1000 growing degree hours (GDHs) more than 'Cripps Pink' for ecodormancy release and budburst. Among plant hormones, abscisic acid (ABA) showed remarkably elevated levels in the dormant buds of both cultivars during endodormancy, but its levels were significantly higher in 'Honeycrisp'. The decline of the ABA level at bud burst was combined with increased levels of cytokinin (CK). The ABA accumulation pattern during dormancy paralleled with an upregulation and downregulation of ABA biosynthetic and catabolic genes, respectively. On the other hand, the levels of hydrogen peroxide (H2O2) and superoxide (O2.-) were significantly higher in 'Cripps Pink' than 'Honeycrisp', particularly by the time of endodormancy and ecodormancy release, respectively. Our findings also showed a gradual decline in starch levels with the dormancy progression and increased levels of total soluble sugars (TSS) that were generally higher in the early-blooming cultivars. Transcriptomic profiling and module-trait relationship identified two modules that contrast between two cultivars mainly during eco-dormancy. Gene ontology (GO) analysis indicated that these DEGs were mostly involved in pathways related to hormones and signaling and co-expressed with H2O2 whereas, during ecodormancy pathways related to glutathione metabolism, auxin biosynthesis, carbohydrate metabolism and reproductive development were co-expressed with O2.-. Together, our results suggest that the contrasting bloom dates between 'Cripps Pink' and 'Honeycrisp' can be explained, at least partially, by the differential accumulation levels of ABA, ROS, antioxidants, and their associated genes in the buds of these cultivars throughout the dormancy cycle. / Doctor of Philosophy / Spring frosts represent a significant threat to apple production in many fruit-producing states of the United States including Virginia. The risk of frost damage is rising due to global climate change, and there is a high demand for effective measures to reduce frost damage. Exogenous applications of plant growth regulators (PGRs) to delay bloom has been suggested as an effective frost avoidance strategy, but with limited success. Therefore, the present study aimed to investigate molecular and biochemical pathways regulating bud dormancy and bloom time in apple, which can ultimate lead to novel approaches for bloom delay and frost mitigation. To this end, the accumulation patterns of major plant hormones (e.g. abscisic acid, ABA, cytokinin, CK and jasmonic acid, JA), reactive oxygen species (ROS) and carbohydrates (e.g. starch, sucrose, glucose and fructose) were thoroughly monitored throughout the dormancy-regrowth cycle in two apple cultivars, 'Cripps Pink' and 'Honeycrisp,' representing early- and late-blooming cultivars, respectively. Both these cultivars had similar chilling requirements (1000 chilling hours) but differed in their heat requirements; with 'Honeycrisp' requiring 1000 growing degree hours more than 'Cripps Pink'. Among plant hormones, ABA increased with the progression of dormancy and decreased with dormancy release in both cultivars. However, ABA levels were significantly higher in 'Honeycrisp' compared to 'Cripps Pink'. On the contrary, during dormancy release, the growth-promoting hormone, CK, increased earlier in 'Cripps Pink'. The levels of ROS, e.g., hydrogen peroxide (H2O2), and superoxide (O2.-), were also higher in 'Cripps Pink' than 'Honeycrisp', particularly by the time of endodormancy and ecodormancy release, respectively. Our data showed that starch levels generally declined during dormancy, whereas soluble sugars increased. However, there was no significant alternations in the carbohydrate accumulation profiles between the two cultivars that could account for the differences in their bloom dates. These results were verified further at the transcriptomic level. Using the RNA-sequencing technology, identified two modules that contrast between two cultivars mainly during eco-dormancy. Gene ontology (GO) analysis indicated that these genes were mostly involved in pathways related to hormones and signaling and co-expressed with H2O2 whereas during ecodormancy pathways related to glutathione metabolism, auxin biosynthesis, carbohydrate metabolism and reproductive development were co-expressed with O2.-. Overall, our results suggest that ABA, cytokinin, H2O2, and O2.- may, at least partially, explain the differences in the bloom time between the two apple cultivars. Further analysis of these molecules and their associated genes in other apple cultivars with contrasting bloom dates is necessary for better understanding of bloom time regulation in apple and developing strategies against frost damage.