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Changing of yeaning rates using estrus synchronization and cervico-uterinal artificial insemination in goats
43-47Views:129Breeding aims can be more efficiently and faster achieved by using AI. AI allows higher selection intensities for male selection, adequate genetic evaluation with efficient buck using and profitable farming. Moreover, the AI has very important advantages in animal health, especially in goats. By using our AI technology, these benefits can help the farmers in the practical life.
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Analysis of small ruminants’ semen under the cooling, deep-freezing and sex-orientation method
53-58Views:146The aim of this study was to examine the influence of cooling, deep-freezing and sex-orientation methods on fertility of ram and buck semen. It was pointed out that deep-freezing and sexorientation methods had a more considerable destruction on both semen compared with the effect of cooling method. However, with the development of the sex-orientation method, the results of lambing had a significant increase in sheep. On the other hand, the NRR of the inseminations with deep-frozen ram semen exceeded most of previously publicated results. Being interesting, and hopefully useful benefit in practice that the analysed buck semen samples are shown more favourable results in all methods compared with the same results of rams.
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Establishing regional cultivating districts on the basis of the Kreybig practical soil mapping system
20-25Views:116With the help of this report evaluating the current situation of the region, characteristics of the development in agricultural production and regional differences can be clarified. By mapping out the regional soil, land use and climatic conditions and organizing these into a geographical information system, one can easily determine which plants are the most ideal to cultivate in that particular region. Moreover, it is a useful tool that enables us to
establish the most favorable land use structure suited to ecological demands and also helps to determine the methods of soil protection.
During our work, we chose administrative units in Szabolcs-Szatmár-Bereg County, based on the latest aspects of regional cultivation.
Our pilot areas are: the small regions of Nyíregyháza, Nyírbátor, Nagykálló, Mátészalka and Csenger.
Using the database, we separated and uncovered the soil conditions of the pilot areas: the chemical and physical properties of the soil layer which is exploited by the roots of the plants, the humus content, the nutrient supply, the thickness of the cultivated layer and the water management conditions.
We separated the districts of regional cultivation, where the basic elements of the traditional Kreybig color systems were applied (light yellow, dark yellow, light brown, dark green, blue, pink, red, gray, greenish brown, reddish purple, light purple, dark purple, light green).
By using the data collected from the pilot areas, we compiled a map database, which is suitable to illustrate the plant cultivating characteristics of the region. We made recommendations to determine the most favorable plants to cultivate in the specific region with the given meteorological and soil conditions, as well as for the shifting of crops.
Our recommendations were also illustrated in a map with a resolution of 1:25000. -
A new model for predicting carbon storage dynamics and emissions related to the waste management of wood products: introduction of the HWP-RIAL model
75-81Views:151The ability of wood products to store carbon allows for their significant contribution to the climate mitigation efforts and the emission reduction commitments set by the EU. In order to optimise the carbon storage capacity of wood products, it is important to take climate mitigation aspects into consideration as much as possible during their production, use and waste management. The aim of this study was to quantify the effects of product development, recycling, and waste management technologies on carbon storage and emissions. In the frame of the ForestLab project, a new model and decision support tool was developed, which is able to predict the duration of carbon storage of wood products and the evolution of emissions from them. The developed HWP-RIAL model (Harvested Wood Product Recycling, Incineration And Landfill model) uses the methodology of the Intergovernmental Panel on Climate Change (IPCC) to calculate emissions, which is also used in the National Greenhouse Gas Inventory report. It combines the IPCC waste model with equations describing the carbon storage and emissions of wood products, and the model is also supplemented with a self-developed recycling and waste routing module. This paper provides insight into the operation of the model by following the life cycle of 200,000 m3 particle board.