No description available.

No description available.

Domesticated species possess certain cognitive abilities that allow them to thrive in an environment with regular human interaction, and these interactions contribute to the overall human-animal relationship. Studying the human-animal relationship allows us to better understand how domesticated animals perceive and navigate their environment, which can then be used to improve their welfare. In chickens, this relationship is poorly understood, and further research would provide insight into the welfare needs of this animal. Here we show breed differences in the interspecific sociocognitive abilities of Gallus gallus, where the domesticated White Leghorn interacted more with a familiar human than the red junglefowl, and both the domesticated White Leghorn and the red junglefowl breed that had been selected for low fear of humans were habituated to human presence. This study sheds light on the effect of domestication on social cognition in chickens and begins to describe the human-chicken relationship.

Prairie bromegrass is a cool-season perennial bunchgrass with potential as a valuable forage crop in the southeastern USA. The objective of this study was to compare dry matter production, persistence, nutritive value, and beef cattle grazing preference of two experimental lines and a commercial species (cv. Matua) of prairie bromegrass. Plots were established in a randomized complete block design with four replications. When each plot accumulated at least 20 cm of growth, plots were grazed with Hereford x Angus steers at a stocking rate of 8400 kg/ha until the first plot was grazed down to 7 cm in height. Pre- and post-grazing quadrats were taken for DM and animal preference estimation and nutrient analyses. No differences in nutritive value or grazing preference were seen among species. Treatment interactions were observed for DM production and persistence. The results suggest that there are differences in growth traits among the bromegrass species observed.

An optimal method for stunning animals before slaughter should result in instantaneous and irreversible insensibility. Today, there are various stunning and slaughter practices used around the world for farmed fish. With aquaculture being a growing food sector, the welfare of the animals used has become increasingly important in the consciousness of consumers, researchers and regulatory bodies. With growing research into the subject matter, an overview to summarize and examine how these practices impact on the welfare of the fish, and how well they conform to animal welfare legislation, is warranted to minimize the suffering of farmed fish. Stunning practices used in aquaculture include methods such as electrical and percussive stunning, carbon dioxide and asphyxiation. Each with its own level of effectiveness in terms of how fast the method results in loss of consciousness, whether or not the effect is reversible and how the welfare of the fish is affected as determined by behavioural and physiological stress responses. It was concluded that there is no unambiguous answer as to which stunning method is optimal in regard to animal welfare in modern day aquaculture. The optimal method for a given facility is influenced by factors like practicalities relating to each individual method as well as legislation on EU and national level. Suggestions were made for future research.

The research presented in this thesis focuses on an innovative use of digital imaging, and the machine learning techniques to assess the body rumen fill scoring in dairy cows. This study aims to enhance the efficiency of monitoring and managing dairy cow health, which is crucial for the dairy industry's productivity and sustainability. The primary objective was to develop an automated annotation system fore valuating rumen fill status in dairy cows using digital images extracted from recorded videos. This system leverages advanced machine learning algorithms and neural networks, aiming to mimic manual assessments by veterinarians and specialists on farms. To achieve the above objectives, this thesis made use of already existing video records from a Swedish dairy farm hosting mainly the Swedish Redand the Swedish Holstein breeds. A subset of these images were then processed, manually classified using a modified rumen fill scoring system based on visual assessment, and supervised classification algorithms were trained on 277 manually annotated images. The thesis explored various machine learning techniques for classifying these images, including Logistic Regression, Support Vector Machine (SVM), and a Deep Neural Network using the VGG16 architecture. These models were trained, validated, and tested with a dataset that included variations in cow color patterns, aiming to determine the most effective approach for automated rumen fill scoring.The results indicated that while each model had its strengths and weaknesses, the simple logistic model was performing the best in terms of test accuracy and F1 score. This research contributes to the field of precision livestock farming, particularly in the context of dairy farming. By automating the process of rumen fill scoring, the study aims to provide dairy farmers with a reliable, efficient, and cost-effective tool for monitoring cow health. This tool has the potential to enhance dairy cow welfare, improve milk production, and support the sustainability of dairy farming operations. However, at the current state, the model accuracy of the best model was only moderate. There is a need for further improvement of the prediction performance possibly by adding more cow images, using improved image processing, and feature engineering.

Den domesticerade kaninen (Oryctolagus cuniculus) är idag ett vanligt sällskapsdjur världen över. Sällskapskaniner framhålls som det tredje mest populära sällskapsdjuret i Sverige, efter hund och katt. Trots detta behandlar endast en mycket liten andel av den övergripande forskningen inom ämnet hälsa- och välfärd just kanin. Den här studien har undersökt inverkan på sällskapskaninens välfärd av kaninägare med eller utan tidigare erfarenhet, sjukdomsbild, samt kaninägares preferenser - och om detta är faktorer som påverkar sällskapskaninens välfärd i Sverige. Studien genomfördes som en enkätundersökning, besvarad av 147 deltagare bosatta i Sverige. Enkäten publicerad i nätverkstjänsten Facebook och fanns tillgänglig under tidsperioden 23:e April - 7:e Maj, 2021. Mer än 50 % av deltagarna saknade erfarenhet och kunskap om kaniner innan de skaffade sin första kanin. Över 37 % höll sina kaniner ensamlevande, och mer än 21 % inhyste sina kaniner i bur. Behovet av veterinärvård utgjordes totalt av nästan hälften av kaninerna, och de kaniner som hölls inomhus eller frigående hade störst behov. Det fanns en skillnad i behovet av veterinärvård hos olika raskategorier, där kategorin små raser var högst representerad. Antalet kaniner som drabbades av olika typer av hälsorelaterade problem varierade, men sjukdomar kopplade till avelsrelaterad problematik utgjordes av nästan 1/3 av alla sjukdomar. Den vanligaste raskategorin att hålla var dvärgraser som hölls av nästan 60 % av alla deltagare, och den vanligaste orsaken till att välja just den raskategorin utgjordes av dess storlek. Den här studien visade att det finns faktorer i kaninägarens djurhållning som kan kopplas till sällskapskaninens välfärd i Sverige. Avgörande parametrar till detta har lyfts fram som kaninägarens erfarenhet och kunskap om kaniner, hållning och inhysning, samt val av raskategori. Nyckelord: Oryctolagus cuniculus, sällskapskanin, djurhållning, djurvälfärd, djuravel, djuretik / The domesticated rabbit (Oryctolagus cuniculus) is today a common pet worldwide. Pet rabbits are highlighted as the third most popular pet in Sweden, after dogs and cats. Despite this, only a very small proportion of the overall research in the subject of health and welfare deals with rabbits. This study has examined the impact on the companion rabbit's welfare of rabbit owners with or without previous experience, disease picture, and rabbit owners' preferences - and whether these are factors that affect the companion rabbit's welfare in Sweden. The study was conducted as a survey, answered by 147 participants living in Sweden. The survey was published in the network service Facebook and found available during the period 23 April - 7 May, 2021. More than 50% of the participants lacked experience and knowledge about rabbits before acquiring their first rabbit. Over 37% kept their rabbits alone, and more than 21% housed their rabbits in cages. The need for veterinary care accounted for a total of almost half of the rabbits, and the rabbits kept indoors or free-running were most in need. There was a difference in the need for veterinary care in different breed categories, where the category small breeds was most represented. The number of rabbits suffering from various types of health-related problems varied, but diseases linked to breeding-related problems accounted for almost 1/3 of all diseases. The most common breed category to keep was dwarf breeds held by almost 60% of all participants, and the most common reason for choosing that particular breed category was its size. This study showed that there are factors in the rabbit owner's animal husbandry that can be linked to the companion rabbit's welfare in Sweden. Decisive parameters for this have been highlighted as the rabbit owner's experience and knowledge of rabbits, posture and housing, as well as the choice of breed category. Keywords: Oryctolagus cuniculus, companion rabbit, animal husbandry, animal welfare, animal breeding, animal ethics