SLU
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- Item01. Delrapport älginventering(SLU, 2011) Adaptiv älgförvaltning
- Item01. Introduktion(SLU, 2019) Adaptiv älgförvaltning
- Item02. Avskjutningsstatistik(SLU, 2019) Adaptiv älgförvaltning
- Item03. Älgobservationer(SLU, 2024) Adaptiv älgförvaltning
- Item04. Spillningsinventering(SLU, 2019) Adaptiv älgförvaltning
- Item05. Kalvvikter(SLU, 2019) Adaptiv älgförvaltning
- Item06. Flyginventering(SLU, 2019) Adaptiv älgförvaltning
- Item07. Åldersstruktur(SLU, 2019) Adaptiv älgförvaltning
- Item08. Hälsostatus(SLU, 2019) Adaptiv älgförvaltning
- Item09. Genetisk övervakning(SLU, 2019) Adaptiv älgförvaltning
- Item10. Referensområden(SLU, 2019) Adaptiv älgförvaltning
- Item11. Beskattningsstrategier(SLU, 2019) Adaptiv älgförvaltning
- Item12. Ekosystemaspekter på älgförvaltning(SLU, 2019) Adaptiv älgförvaltning
- Item34th Annual Report(SLU, 2025) Weldon, James
- ItemA 50 m spatial representation of probable subsurface drained arable land in central and southern Sweden(Swedish University of Agricultural Sciences, 2025-09-08) Louise Malmquist; Jennie Barron
- ItemA New Approach in Profile Analysis with High-Dimensional Data Using Scores(Swedish University of Agricultural Sciences, Department of Energy and Technology, 2020) Cengiz, CigdemIn profile analysis, there exist three tests: test of parallelism, test of levels and test of flatness. In this thesis, these tests have been studied. Firstly, a classical setting, where the sample size is greater than the dimension of the parameter space, is considered. The hypotheses have been established and likelihood ratio tests have been derived. The distributions of these test statistics have been given. In the latter stage, all tests have been derived in a high-dimensional setting, where the number of parameters exceeds the number of sample size. Such settings have become more common due to the advances in computer technologies in the last decades. In high-dimensional data analysis, several issues arise with the dimensionality and different techniques have been developed to deal with these issues. We propose a dimension reduction method using scores that was first proposed by Läuter et al. (1996). To be able to find the specific distributions of the test statistics of profile analysis in this context, the properties of spherical distributions are utilized.
- ItemAbundans av humlor och honungsbin i jordbrukslandskap med eller utan blomremsor och honungsbisamhällen(Sveriges lantbruksuniversitet, Institutionen för ekologi, 2021-11-24T13:38:17.610175Z) Riccardo Bommarco
- ItemAccess to animal health services and drugs, and practices and knowledge related to antimicrobial resistance, among Vietnamese chicken farmers(2023) Nohrborg, Sandra; Magnusson, Ulf
- ItemAccess to services and drugs, and practices and knowledge related to antimicrobial resistance, among smallholder pig farmers in Uganda(Swedish University of Agricultural Sciences, 2022) Magnusson, Ulf; Mainack Dione, Michael; Nohrborg, SandraTo mitigate the development of antimicrobial resistance (AMR), antibiotic use (ABU) in the livestock sector needs to be reduced. In low- and middle-income countries, regulations have shown to be less successful in reducing ABU. Here, a bottom-up approach can complement legal frameworks which requires an understanding of the drivers for ABU. In this study, we investigated the influence of geographic and socioeconomic settings on determinants for ABU among pig farmers in Uganda. The data was collected through a questionnaire (containing 75 questions) in two districts, Lira and Mukono, and comparative statistical analyses were performed. Farmers in Lira had lower access to animal health services, applied disease preventive measures less and used antibiotics more. In Mukono, it was more common to consult a veterinarian in response to disease, while it in Lira was more common to consult an animal health worker. There was no difference in how many that followed treatment instructions from a veterinarian, but it was more common in Lira to follow instructions from pharmacies. The findings support the need for locally tailored AMR-reducing interventions to complement regulations. To accomplish this tailoring, systematic collection of knowledge of farm structures, farm practices and access to animal health services and veterinary drugs is necessary.