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Changing of yeaning rates using estrus synchronization and cervico-uterinal artificial insemination in goats
43-47Views:202Breeding 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:210The 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:365With 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. -
Habitat suitability modeling of a Subterranean mammal in Iran: case study of the Western Mole-Vole (Ellobius lutescens)
113-120Views:444Rodentia is the largest order of mammals in Iran, distributed in almost all types of habitats. Subterranean mammals, such as the Western Mole-Vole, have an important role as ecosystem engineers by creating underground burrows and tunnels and aerating, propagating seeds, and building shelter for other small mammals and animals. They are also a keystone part of the food source for other prey vertebrates. However, many areas are considered pests, and their habitats are fragmented due to human activities, which causes a reduction in their habitats and colonization. Habitat Modeling tools help us to predict a suitable niche for conservation planning. The purpose of this study is to predict habitat suitability for Western Mole-Vole in Iran by using the MaxEnt method to determine which part of Iran is a desirable habitat for this species. The result indicated that the northwest of Iran, especially the southern slopes of the Alborz Mountains and the Eastern slopes of the Zagros Mountains, provides suitable habitats for the western Mole-Vole. The environmental variables that are more influenced by the distribution of this species are elevation of 1800 to 2500 meters, human activities such as roads, and rainfed farms. Approximately 7% of Iran is a suitable habitat for the Western Mole-Vole.
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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:311The 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.
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Estimating the amount and heating value of wood waste burned in households based on FICM HWP model output data
79-84Views:368A 2009 study published by the Regional Centre for Energy Policy Research (RCEPR) sparked significant debate within the Hungarian forestry and wood industry sectors. The study suggested a substantial shortfall in the balance of solid bioenergy biomass usage and sources, which it attributed to large-scale illegal logging. The Bio Screen CCE Project updated this analysis and quantified a 37.2 PJ (43%) deficit in the solid bioenergy biomass balance for 2019. This study investigates the extent to which household wood waste burning could account for this shortfall. Using the Forest Industry Carbon Model (FICM) HWP submodel, the authors estimate that over 1.2 million m³ of wood waste may be burned annually in households. The heating value of this burned wood waste for 2019 is estimated at 14 PJ, explaining 39% of the shortfall identified in the Bio Screen CCE Project’s 2021 report.