Propagação do gladíolo (Gladiolus grandiflorus) andr. cv. Snow Princess: produção de material de propagação e flores pelos bulbos tipo jumbo e tipo 1

Bulbos de 2° ciclo, tipo jumbo, com 84 g/unidade e tipo 1, com 35 g/unidade, foram comparados. Verificou-se que: o tipo jumbo teve melhor rendimento de: peso de bulbos; número de bulbos; comprimento da haste floral; comprimento da espiga floral e hastes florais de melhor qualidade. Otipo 1 apresentou melhor rendimento para peso de bulbos plantados por peso de bulbos e cormilhos colhidos.

Influência da profundidade de plantio na propagação do gladíolo (Gladiolus grandiflorus) andr. cv. Snow Princess

A profundidade de plantio dos cormilhos influi na produção e qualidade do material de propagação. Em maiores profundidades, o peso médio por unidade produzida é maior. Para produzir bulbos dos tipos jumbo até o tipo 5, a profundidade de 7,3 cm foi a melhor. A profundidade de 5,6 cm foi melhor para quantidade. Maiores profundidades produzem menor cormilhos.

Programação do gladíolo (Gladiolus grandiflorus) andr. cv. Snow Princess, através de cormilhos tipo 7 e 8

Os cormilhos tipo 7 produziram bulbos e cormilhos dos tipos de 1 a 8 em maior quantidade que o tipo 8 e os bulbos tipos 1, 2, 3, 4 e 5 mais pesados. Os cormilhos tipo 8 também produziram bulbos e cormilhos dos tipos 1 a 8, porém seus cormilhos foram mais pesados que os cormilhos produzidos pelo tipo 7.

Propagação do gladíolo (Gladioius grandiflorus) andr. cv. Snow Princess: comportamento de seis tipos de materiais vegetativos, na produção de flores e material de propagação

Bulbos de mesmo ciclo, com pesos e tamanhos próximos, apresentaram comportamentos semelhantes para a produção de flores, bulbos e cormilhos. Os bulbos maiores, tipos 1 e 2, tiveram melhor rendimento de flores, bulbos e cormilhos que os demais tipos, decrescendo esse rendimento com a redução do tamanho dos bulbos por unidade plantada. Em função do peso plantado, as unidades menores apresentaram melhor desempenho.

Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation

This paper presents the Juste-Neige system for predicting the snow height on the ski runs of a resort using a multi-agent simulation software. Its aim is to facilitate snow cover management in order to i) reduce the production cost of artificial snow and to improve the profit margin for the companies managing the ski resorts; and ii) to reduce the water and energy consumption, and thus to reduce the environmental impact, by producing only the snow needed for a good skiing experience. The software provides maps with the predicted snow heights for up to 13 days. On these maps, the areas most exposed to snow erosion are highlighted. The software proceeds in three steps: i) interpolation of snow height measurements with a neural network; ii) local meteorological forecasts for every ski resort; iii) simulation of the impact caused by skiers using a multi-agent system. The software has been evaluated in the Swiss ski resort of Verbier and provides useful predictions.

Systematics of snow voles (Chionomys, Arvicolinae) revisited.

To elucidate the evolutionary history of snow voles, genus Chionomys, we studied the phylogeography of Chionomysnivalis across its range and investigated its relationships with two congeneric species, Chionomysgud and Chionomysroberti, using independent molecular markers. Analyses were based on mitochondrial (~940 bp cyt b) and Y-chromosomal (~2020 bp from three introns) genetic variation. Our data provide conclusive evidence for a Caucasian and Middle Eastern origin for the three species and a subsequent westward expansion of C.nivalis. In addition, we discuss the taxonomic status of the genus Chionomys in relation to the genus Microtus.

Living Snow Fences, 2006

Blowing snow can cause significant problems for mobility and safety during winter weather in three distinct ways. It may drift onto the road, thus requiring almost continuous plowing while the wind is blowing (which may occur when a given winter storm is over). Snow may drift onto wet pavement (perhaps caused by ice control chemicals) and dilute out the chemicals on the road, creating ice on the road. And sufficient blowing snow can cause a major deterioration in visibility on the road, a factor which has been shown to be significant in winter crashes. The problem of blowing snow can be very effectively addressed by creating a snow storage device upwind of the road that requires protection from snow drifting. Typically, these storage devices are fences. Extensive design guidance exists for the required height and placement of such fences for a given annual snowfall and given local topography. However, the design information on the placement of living snow fences is less complete. The purpose of this report is to present the results of three seasons of study on using standing corn as snow fences. In addition, the experience of using switch grass as a snow storage medium is also presented. On the basis of these experimental data, a design guide has been developed that makes use of the somewhat unique snow storage characteristics of standing corn snow fences. The results of the field tests on using standing corn showed that multiple rows of standing corn store snow rather differently than a traditional wooden snow fence. Specifically, while a traditional fence stores most of the snow downwind from the fence (and thus must be placed a significant distance upwind of the road to be protected, specifically at least 35 times the snow fence height) rows of standing corn store the majority of the snow within the rows. Results from the three winters of testing show that the standing corn snow fences can store as much snow within the rows of standing corn as a traditional fence of typical height for operation in Iowa (4 to 6 feet) can store. This finding is significant because it means that the snow fences can be placed at the edge of the farmer’s field closest to the road, and still be effective. This is typically much more convenient for the farmer and thus may mean that more farmers would be willing to participate in a program that uses standing corn than in traditional programs. ii On the basis of the experimental data, design guidance for the use of standing corn as a snow storage device in Iowa is given in the report. Specifically, it is recommended that if the fetch in a location to be protected is less than 5,000 feet, then 16 rows of standing corn should be used, at the edge of the field adjacent to the right of way. If the fetch is greater than 5,000 feet, then 24 rows of standing corn should be used. This is based on a row spacing of 22 inches. Further, it should be noted that these design recommendations are ONLY for the State of Iowa. Other states of course have different winter weather and without extensive further study, it cannot be said that these guidelines would be effective in other locations with other winter conditions.

Iowa’s Cooperative Snow Fence Program, June 2005

While we can’t keep it from blowing, there are ways to influence the wind that carries tons of blowing and drifting snow. Periodically, severe winter storms will create large snow drifts that close roads and driveways, isolate farmsteads and increase snowplowing. Many of these drifting problems happen in the same place year after year. Although there are no foolproof methods of wind and snow control, properly designed and maintained snow fences can reduce or eliminate these problem areas. This publication discusses the benefits of snow fence, then examines the types used by the Iowa Department of Transportation. Finally, it provides information about how you can get involved in the DOT’s Cooperative Snow Fence Program.

Carbon dioxide evolution from snow-covered agricultural ecosystems in Finland

Selostus: Hiilidioksidin kulku lumipeitteisessä ja paljaassa maassa

Factors affecting snow damage of trees with particular reference to European conditions

Summary

Effect of weather and climatological background on snow damage of forests in Southern Finland in November 1991

Summary

Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent snow removal asset management system (SRAMS). The system has been evaluated through a case study examining snow removal from the roads in Black Hawk County, Iowa, for which the Iowa Department of Transportation (Iowa DOT) is responsible. The SRAMS is comprised of an expert system that contains the logical rules and expertise of the Iowa DOT’s snow removal experts in Black Hawk County, and a geographic information system to access and manage road data. The system is implemented on a mid-range PC by integrating MapObjects 2.1 (a GIS package), Visual Rule Studio 2.2 (an AI shell), and Visual Basic 6.0 (a programming tool). The system could efficiently be used to generate prioritized snowplowing routes in visual format, to optimize the allocation of assets for plowing, and to track materials (e.g., salt and sand). A test of the system reveals an improvement in snowplowing time by 1.9 percent for moderate snowfall and 9.7 percent for snowstorm conditions over the current manual system.

Flame Hardened Snow Plow Blades

Underbody plows and High Speed Ice Blades are an integral part of clearing Iowa roads of snow and ice during winter operations. Changing these blades requires crews to suspend plowing operations and return to the garage decreasing time spent clearing roads and increasing workplace hazards. A blade with a longer lifespan is desired. The Department is determining if using plow blades that have been flame hardened increase longevity of use over the Departments current underbody plow blades that are oven baked. This would reduce downtime and employee exposure to workplace hazards and increase productivity per dollar spent.