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Träfflista för sökning "AMNE:(AGRICULTURAL SCIENCES Animal and Dairy Sience) srt2:(2020-2024)"

Sökning: AMNE:(AGRICULTURAL SCIENCES Animal and Dairy Sience) > (2020-2024)

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1.
  • Svensson, Catarina, et al. (författare)
  • Dairy farmer and farm staff attitudes and perceptions regarding daily milk allowance to calves
  • 2023
  • Ingår i: Journal of Dairy Science. - : Elsevier. - 0022-0302 .- 1525-3198. ; 106:10, s. 7220-7239
  • Tidskriftsartikel (refereegranskat)abstract
    • The benefits of feeding calves more milk are increasingly being recognized by dairy farmers. However, most producers have still not implemented higher feeding plans. The aim of the present study was to gain a deeper understanding of farmer and farm staff attitudes, and the perceptions and factors considered in their decision-making regarding daily milk allowances. We collected data through focus group interviews with dairy farmers, farm managers, and calf-care workers who were selected using purposive and snowball sampling. In total, 40 persons (24 women and 16 men) joined a focus group interview (6 in all, each with 5–8 participants). Interviews were recorded, and recordings were transcribed and analyzed thematically. Participants had contrasting opinions about the minimum, maximum, and recommended daily milk allowances to their calves. Their suggested lowest daily milk allowance to sustain animal welfare ranged from 4 to 8–10 L and the maximum allowance from 6 to 15 L. We found that farmers' and farm staff's choices and recommendations of milk-feeding protocols were influenced by a large number of factors that could be grouped into 4 themes: (1) Life beyond work, (2) Farm facilities and equipment, (3) Care of the calves, and (4) Profitability and production. Participants' considerations were similar and aimed to maximize daily milk allowance based on farm conditions. However, the allowances they described as optimal for their calves often differed from what they considered practically feasible. We found that the care of the calves and the well-being of the owners and the staff was central in the participants' decision-making, but that this care perspective was challenged by the social and economic sustainability of the farm. Most participants fed their calves twice daily and did not think that increasing that number would be practically feasible. Our results indicate that the participants' viewpoints regarding calves were important for their decision-making about milk allowances. We suggest that a more holistic perspective should be used when advising farmers about milk allowances, putting particular emphasis on the caring and social sustainability aspects of the individual farm. 
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2.
  • Marina, H., et al. (författare)
  • New insight into social relationships in dairy cows and how time of birth, parity, and relatedness affect spatial interactions later in life
  • 2024
  • Ingår i: Journal of Dairy Science. - 0022-0302 .- 1525-3198. ; 107:2, s. 1110-1123
  • Tidskriftsartikel (refereegranskat)abstract
    • Social interactions between cows play a fundamental role in the daily activities of dairy cattle. Real-time location systems provide on a continuous and automated basis information about the position of individual cows inside barns, offering a valuable opportunity to monitor dyadic social contacts. Understanding dyadic social interactions could be applied to enhance the stability of the social structure promoting animal welfare and to model disease transmission in dairy cattle. This study aimed to identify the effect of different cow characteristics on the likelihood of the formation and persistence of social contacts in dairy cattle. The individual position of the lactating cows was automatically collected once per second for 2 wk, using an ultra-wideband system on a Swedish commercial farm consisting of almost 200 dairy cows inside a freestall barn. Social networks were constructed using the position data of 149 cows with available information on all characteristics during the study period. Social contacts were considered as a binary variable indicating whether a cow pair was within 2.5 m of each other for at least 10 min per day. The role of cow characteristics in social networks was studied by applying separable temporal exponential random graph models. Our results revealed that cows of the same parity interacted more consistently, as well as those born within 7 d of each other or closely related by pedigree. The repeatability of the topological parameters indicated a consistent short-term stability of the individual animal roles within the social network structure. Additional research is required to elucidate the underlying mechanisms governing the long-term evolution of social contacts among dairy cattle and to investigate the relationship between these networks and the transmission of diseases in the dairy cattle population. .
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3.
  • Axelsson, Erik, et al. (författare)
  • The genetic consequences of dog breed formation-Accumulation of deleterious genetic variation and fixation of mutations associated with myxomatous mitral valve disease in cavalier King Charles spaniels
  • 2021
  • Ingår i: PLOS Genetics. - : Public Library of Science (PLoS). - 1553-7390 .- 1553-7404. ; 17:9
  • Tidskriftsartikel (refereegranskat)abstract
    • Selective breeding for desirable traits in strictly controlled populations has generated an extraordinary diversity in canine morphology and behaviour, but has also led to loss of genetic variation and random entrapment of disease alleles. As a consequence, specific diseases are now prevalent in certain breeds, but whether the recent breeding practice led to an overall increase in genetic load remains unclear. Here we generate whole genome sequencing (WGS) data from 20 dogs per breed from eight breeds and document a similar to 10% rise in the number of derived alleles per genome at evolutionarily conserved sites in the heavily bottlenecked cavalier King Charles spaniel breed (cKCs) relative to in most breeds studied here. Our finding represents the first clear indication of a relative increase in levels of deleterious genetic variation in a specific breed, arguing that recent breeding practices probably were associated with an accumulation of genetic load in dogs. We then use the WGS data to identify candidate risk alleles for the most common cause for veterinary care in cKCs-the heart disease myxomatous mitral valve disease (MMVD). We verify a potential link to MMVD for candidate variants near the heart specific NEBL gene in a dachshund population and show that two of the NEBL candidate variants have regulatory potential in heartderived cell lines and are associated with reduced NEBL isoform nebulette expression in papillary muscle (but not in mitral valve, nor in left ventricular wall). Alleles linked to reduced nebulette expression may hence predispose cKCs and other breeds to MMVD via loss of papillary muscle integrity.
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4.
  • Ren, Keni, 1983-, et al. (författare)
  • Where do we find missing data in a commercial real-time location system? Evidence from 2 dairy farms
  • 2021
  • Ingår i: JDS Communications. - : American Dairy Science Association. - 2666-9102. ; 2, s. 345-350
  • Tidskriftsartikel (refereegranskat)abstract
    • Real-time indoor positioning using ultra-wideband devices provides an opportunity for modern dairy farms to monitor the behavior of individual cows; however, missing data from these devices hinders reliable continuous monitoring and analysis of animal movement and social behavior. The objective of this study was to examine the data quality, in terms of missing data, in one commercially available ultra-wideband–based real-time location system for dairy cows. The focus was on detecting major obstacles, or sections, inside open freestall barns that resulted in increased levels of missing data. The study was conducted on 2 dairy farms with an existing commercial real-time location system. Position data were recorded for 6 full days from 69 cows on farm 1 and from 59 cows on farm 2. These data were used in subsequent analyses to determine the locations within the dairy barns where position data were missing for individual cows. The proportions of missing data were found to be evenly distributed within the 2 barns after fitting a linear mixed model with spatial smoothing to logit-transformed proportions (mean = 18% vs. 4% missing data for farm 1 and farm 2, respectively), with the exception of larger proportions of missing data along one of the walls on both farms. On farm 1, the variation between individual tags was large (range: 9–49%) compared with farm 2 (range: 12–38%). This greater individual variation of proportions of missing data indicates a potential problem with the individual tag, such as a battery malfunction or tag placement issue. Further research is needed to guide researchers in identifying problems relating to data capture problems in real-time monitoring systems on dairy farms. This is especially important when undertaking detailed analyses of animal movement and social interactions between animals.
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5.
  • Lundström, Christina, et al. (författare)
  • Care in dairy farming with automatic milking systems, identified using an Activity Theory lens
  • 2021
  • Ingår i: Journal of Rural Studies. - : Elsevier. - 0743-0167 .- 1873-1392. ; 87, s. 386-403
  • Tidskriftsartikel (refereegranskat)abstract
    • ContextIn Sweden, 34% of herds in official statistics 2021 (77% of the cows) have an automatic milking system (AMS) and keep 19% of the dairy cows.ObjectiveThis study should be considered in relation to the rapid increase of digitalisation in agriculture. It aimed at investigating Swedish farmers’ experiences and reflections in dairy farming concerning AMS use from a care perspective, based on two research questions: 1) What kinds of success factors and management challenges do farmers experience with AMS usage? and 2) How do farmers view their work environment in this kind of system?MethodsA mixed method approach was performed, using method triangulation through a questionnaire, interviews, and field visits. The Activity Theory (AT) was used as a theoretical lens to consider care practice in the dairy farming as a learning system.Results and conclusionsParticipating dairy farmers were found to be in a continuous learning process on different levels in their system, from detailed problems with an individual cow or the herd to the whole dairy system. Implementation of AMS required learning in order to manage, and thus care for, a system comprising of animals, technology, and humans, to increase business viability. In successful AMS use, willingness to learn, adapt to the local situation, and continually improve practice, or care as a patterning of activities, appeared to be the most important factors. With more people involved, differentiations were possible, which in turn accentuated the need for more trained staff who can perform more complicated tasks. The findings indicated high importance of experience and a ‘stockperson's eye’, in combination with tool-mediated seeing using data from the robot, in developing enhanced professional vision and good care. A good stockperson had broad competence combining a stockperson's eye with experience with robot data. One of the greatest challenges for dairy farms was finding a good stockperson as staff or advisor. Increased flexibility in work and better physical health were important driving forces for implementing AMS, while handling alarms was mentally stressful and gave different perspectives on AMS vulnerability. Overall, the analysis of the collected data showed that AMS had brought major, primarily positive, changes in daily work and increased work satisfaction for most farmers, with a clear majority of the respondents feeling good in their work situation and enjoying their work.SignificanceApplication of AT in studying AMS from a care perspective, represents a shift from traditional research that normally addresses technological inventions, to studying farmers’ socio-technical system. The AT lens revealed the work practices in performing care, as a patterning of activities accomplished by a tinkering learning process, in the rich and messy matrix of humans, cows, and technology.
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6.
  • Soderquist, Astrid, et al. (författare)
  • Social Support in a Novel Situation Aimed for Stunning and Euthanasia of Pigs May Be Increased by Familiar Pigs—A Behavioural Study with Weaners
  • 2023
  • Ingår i: Animals. - : MDPI. - 2076-2615. ; 13:3
  • Tidskriftsartikel (refereegranskat)abstract
    • The common method of stunning pigs using high concentration carbon dioxide prior to slaughter poses an animal welfare issue, as the gas is aversive. Proof of concept for using nitrogen gas encapsulated in high-expansion foam as an alternative non-aversive method for stunning pigs has recently been presented. However, the individually tested pigs showed distress-related responses to foam exposure, regardless of whether it was nitrogen- or air-filled. This study examined the effect of companionship from a familiar or unfamiliar pig on behaviours in 72 nine-weeks old pigs during exposure to air-filled foam. Escape attempts were observed by 75% of solitary pigs, 42% of pigs with unfamiliar conspecifics, and 33% of pigs with familiar conspecifics. Familiar pig pairs clearly preferred social contact during foam exposure, whereas this was not as clear in unfamiliar pig pairs, and their motivation for social contact could have multiple explanations. The results from this study highlight the importance of contact with conspecifics when studying animal welfare and suggest that familiarity between pigs is important for social support, thus emphasizing the importance of maintaining social groups to reduce distress in pigs at slaughter. © 2023 by the authors.
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7.
  • Munthe, Christian, 1962 (författare)
  • Djurhållning och antibiotika: en gyllene triangel!
  • 2023
  • Ingår i: Tidskriften Alba. - 1403-5448. ; :2023-10-24
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • För ett par veckor sedan var jag i Amsterdam och talade om etiska dilemman och utmaningar i arbetet med antibiotikaresistens i djurhållning och veterinärmedicin på en konferens. ”Från fabrik till gödselstack” var devisen för mitt bidrag, för att framhålla att djurhållningens användning av antibiotika – precis som sjukvårdens – är en del av en större helhet, där även produktionssystemen för läkemedel och mat (och friska djur och människor), och naturmiljön ingår. Varje del både bidrar till utmaningen med resistens – att vår användning och hantering av dessa viktiga mediciner gör dem obrukbara – och utgör löften för att sätta in åtgärder som kan mildra problemet. Alla sådana åtgärder kommer samtidigt ha nackdelar och kostnader – därav behovet att analysera etiken. På konferensen fick jag också chans att förkovra mig i olika slags forskning om hur jordbruk och annan djurhållning kan hantera antibiotikaresistensen bättre. Jag lärde mig då att området utgör en riktig gyllene triangel – på gott och ont.
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8.
  • Robling, Helena, et al. (författare)
  • Measuring sustainability at farm level : A critical view on data and indicators
  • 2023
  • Ingår i: Environmental and Sustainability Indicators. - 2665-9727. ; 18
  • Tidskriftsartikel (refereegranskat)abstract
    • Measuring sustainability at farm level is a priority for both research and policy and requires sustainability indicators to track progress. Indicators make the sustainability concept more concrete and guide farm level decisions, playing a decisive role in determining food system impacts on societies and the environment. Data availability is often a limiting factor when choosing indicators, but not enough attention is paid to the role of data in indicator construction and assessment results. This paper assessed the critical role of data in indicator construction and the potential limitations that current data availability imposes on farm-level sustainability assessments, using the example of dairy farms in Sweden. To do so we used a five-step approach consisting of a literature review, an inventory of data sources, an expert consultation, a matching and gap analysis, and a critical assessment. We found that 20 indicators categorized under 12 out of 20 sustainability themes had measurement issues due to missing scope, temporary data, or additional data requirements. At least some indicators were measurable within all themes in the social and economic dimensions while all indicators for pesticides, non-renewable energy, and soil quality in the environmental dimension had measurement issues. In the critical assessment, we argue that for some indicators, there are trade-offs between data availability and issues of comprehensibility and analytical validity. Furthermore, we found that no single data source could be used to measure all themes; which means that merging of different data sets is needed for a broader on-farm sustainability assessment. Our findings are relevant for the discussion on sustainability indicators and will inform future programs aimed at collecting sustainability data at farm level, which should consider the broad data needs identified and the potential to merge data to enable holistic sustainability assessments.
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9.
  • Ren, Keni, 1983-, et al. (författare)
  • Interpolation methods to improve data quality of indoor positioning data for dairy cattle
  • 2022
  • Ingår i: Frontiers in Animal Science. - : Frontiers Media S.A.. - 2673-6225. ; 3
  • Tidskriftsartikel (refereegranskat)abstract
    • Position data from real-time indoor positioning systems are increasingly used for studying individual cow behavior and social behavior in dairy herds. However, missing data challenges achieving reliable continuous activity monitoring and behavior studies. This study investigates the pattern of missing data and alternative interpolation methods in ultra-wideband based real-time indoor positioning systems in a free-stall barn. We collected 3 months of position data from a Swedish farm with around 200 cows. Data sampled for 6 days from 69 cows were used in subsequent analyzes to determine the location and duration of missing data. Data from 20 cows with the most reliable tags were selected to compare the effects of four different interpolation methods (previous, linear interpolation, cubic spline data interpolation and modified Akima interpolation). By comparing the observed data with the interpolations of the simulated missing data, the mean error distance varied from around 55 cm, using the previously last observed position, to around 17 cm for modified Akima. Modified Akima interpolation has the lowest error distance for all investigated activities (rest, walking, standing, feeding). Larger error distances were found in areas where the cows walk and turn, such as the corner between feeding and cubicles. Modified Akima interpolation is expected to be useful in the subsequent analyses of data gathered using real-time indoor positioning systems.
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10.
  • Petersen, S. O., et al. (författare)
  • In-vitro method and model to estimate methane emissions from liquid manure management on pig and dairy farms in four countries
  • 2024
  • Ingår i: Journal of Environmental Management. - : Academic Press. - 0301-4797 .- 1095-8630. ; 353
  • Tidskriftsartikel (refereegranskat)abstract
    • Methane (CH4) emissions from manure management on livestock farms are a key source of greenhouse gas emissions in some regions and for some production systems, and the opportunities for mitigation may be significant if emissions can be adequately documented. We investigated a method for estimating CH4 emissions from liquid manure (slurry) that is based on anaerobic incubation of slurry collected from commercial farms. Methane production rates were used to derive a parameter of the Arrhenius temperature response function, lnA', representing the CH4 production potential of the slurry at the time of sampling. Results were used for parameterization of an empirical model to estimate annual emissions with daily time steps, where CH4 emissions from individual sources (barns, outside storage tanks) can be calculated separately. A monitoring program was conducted in four countries, i.e., Denmark, Sweden, Germany and the Netherlands, during a 12-month period where slurry was sampled to represent barn and outside storage on finishing pig and dairy farms. Across the four countries, lnA' was higher in pig slurry compared to cattle slurry (p < 0.01), and higher in slurry from barns compared to outside storage (p < 0.01). In a separate evaluation of the incubation method, in-vitro CH4 production rates were comparable with in-situ emissions. The results indicate that lnA' in barns increases with slurry age, probably due to growth or adaptation of the methanogenic microbial community. Using lnA' values determined experimentally, empirical models with daily time steps were constructed for finishing pig and dairy farms and used for scenario analyses. Annual emissions from pig slurry were predicted to be 2.5 times higher than those from cattle slurry. Changing the frequency of slurry export from the barn on the model pig farm from 40 to 7 d intervals reduced total annual CH4 emissions by 46 %; this effect would be much less on cattle farms with natural ventilation. In a scenario with cattle slurry, the empirical model was compared with the current IPCC methodology. The seasonal dynamics were less pronounced, and annual CH4 emissions were lower than with the current methodology, which calls for further investigations. Country-specific models for individual animal categories and point sources could be a tool for assessing CH4 emissions and mitigation potentials at farm level. 
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