Projektet syftar till att utforska turismsektorns dynamik med fokus på förlängning av turistsäsongen, med Åre och Visby som jämförelseobjekt. Genom en djupgående dokumentanalys och intervjuer med personer inom destinationernas turismsektor identifieras kritiska faktorer för framgångsrik och hållbar destinationsutveckling. Frågeställningarna inkluderar strategier för att attrahera turister året runt och samarbetsformer för att förlänga säsongen. Resultaten visar att båda destinationerna har unika strategier baserade på geografiska och klimatiska förutsättningar. Åre satsar på vinter och sommar och vill ses som en åretrunt-destination medan Visby arbetar med att utvidga sommarsäsongen till höst och vår. Samarbeten mellan olika aktörer, såsom kommuner och näringsliv, är avgörande för att hantera utmaningarna med lågsäsonger. Slutligen framhävs att för att vara en ledande turistdestination som Åre och Visby, krävs både strategiskt arbete för att locka turister året runt och effektiva samarbeten inom turismsektorn.  The thesis aims to explore the dynamics of the tourism sector with a focus on extending the tourist season, using Åre and Visby as comparative subjects. Through in-depth document analysis and interviews with stakeholders in the destinations' tourism sectors, critical factors for successful and sustainable destination management are identified. Key inquiries include strategies to attract tourists year-round and forms of collaboration to extend the season. The results reveal that both destinations have unique strategies based on geographical and climatic conditions. Åre focuses on winter and summer tourism, striving to be a year-round destination, while Visby aims to extend its summer season into the fall and spring. Collaborations among various stakeholders, such as municipalities and businesses, are crucial for addressing off-peak season challenges. Ultimately, it is emphasized that to be leading tourist destinations like Åre and Visby, strategic efforts to attract tourists year-round and effective collaborations within the tourism sector are essential.

Master of Science / Department of Animal Sciences and Industry / Christopher D. Reinhardt / Angus steers (n = 17,919) fed at a single feedlot in southwestern Kansas between 1997 and 2007 were used to evaluate the effects of various demographic and phenotypic characteristics (season of arrival, geographic origin, health status, rate of gain, quality grade, and yield grade) on feedlot health, performance, and carcass traits. Cattle were not commingled and were predominantly preconditioned and backgrounded prior to shipment to the feedlot. Season of arrival was categorized as winter (December, January, and February), spring (March, April, and May), summer (June, July, and August), or fall (September, October, and November). Regions were: SC = Texas, Oklahoma, and New Mexico; C = Colorado and Kansas; NC = Montana, Nebraska, and Wyoming; and SE = Georgia, Mississippi, South Carolina, Tennessee, Virginia, and West Virginia. Steers that originated in SC had the poorest ADG (P < 0.01) and those originating in C had the greatest ADG, HCW, and quality grade (P < 0.01). Steers that arrived during fall had the lowest ADG and those arriving during the summer had the greatest morbidity (P < 0.01). Morbidity decreased and performance increased with increasing initial BW; quality grade was only minimally related to arrival BW in steers which were not treated for disease. After accounting for yield grade differences, the association between morbidity and carcass quality and between quality grade and heavier final BW and HCW were diminished, although ungraded cattle had lower ADG, final BW, and HCW (P < 0.01). Increasing yield grade from 1 and 2 to yield grade 3 increased percentage Choice by 12.1 points (P < 0.01); there was no additional gain in quality grade moving to yield grade 4 and 5. More rapidly gaining steers were heavier and fatter at marketing; this translated to greater quality grade in all but steers with initial BW > 375 kg. Performance was very similar among cattle which graded Prime, Choice, and Select, suggesting that producers do not need to choose between performance and quality grade; instead, much of the difference in quality grade can be explained by differences in yield grade.

There were some wide variations in cotton variety performance at five planting dates among locations and years. However, on an average, DP 90 and DP 77 performed best when planted between 28 March and 24 April. Stoneville 506 and DP 50 averaged best for May plantings and DP 20, Stoneville 112, and DP 50 averaged best for early June plantings.

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