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dc.contributor.authorMackei, Máté
dc.contributor.authorBarcza, Zoltán
dc.contributor.authorPéntek, Gábor
dc.contributor.authorGábor, György
dc.contributor.authorReibling, Tamás
dc.contributor.authorSolymosi, Norbert
dc.date.accessioned2021-03-17T08:46:19Z
dc.date.available2021-03-17T08:46:19Z
dc.date.issued2017-06
dc.identifier.citationMagyar Állatorvosok Lapja 139(6),337-343. (2017)en_US
dc.identifier.urihttp://hdl.handle.net/10832/2695
dc.description.abstractSummary Background: The global climate change has numerous negative effects on human and animal health. The Intergovernmental Panel on Climate Change (IPCC) reported that – beside the spatial distribution changes of vector-borne infections – one of the most threatening consequences of global warming on the health is the increased occurrence of heat stressed time periods. To miti gate the influence of heat stress on animal health and production the first step is to get data about the thermal environment of the animals. Objectives: Present work was performed to develop a web based heat stress forecast system supporting the practitioner colleagues by information to ease the negative effects of thermal environment on animal production. Materials and methods: An internet available system was developed to pro duce heat forecast maps for the Carpathian Basin. The risk maps represent the potential heat stress for pigs and dairy cows based on the species specific Tem perature Humidity Indices (THI) and Livestock Weather Safety Index (LWSI) cat egories. The atmospheric parameters needed to calculate These are obtained from the Global Forecast System (GFS) provided by National Oceanic and Atmos pheric Administration (NOAA) of the USA. The original 0.5ºx0.5º spatial resolution of the THIs are smoothed by the method thin plate spline regression. The maps are generated for six-day length period day by day. All calculations and statis tical procedures were coded in R-language. The web site was developed in the Django Framework (www.djangoproject.com). Results and Discussion: The result of the presented development is a web based heat stress forecast system. By its information the system may help the user in the mitigation of the effects of expected heat waves. Further develop ments could be done depending on the feedbacks by the users of the system.en_US
dc.language.isohuen_US
dc.publisherMagyar Állatorvosok Lapjaen_US
dc.titleKárpát-medencei hőstressz-előrejelzési rendszeren_US
dc.title.alternativeHeat stress forecast system on Carpathian Basinen_US
dc.typeArticleen_US
dcterms.bibliographicCitation
dcterms.bibliographicCitationMagyar Állatorvosok Lapja 139(6),337-343. (2017)


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