473 – Post weaning diarrhea in pigs – Risk factors and non-colistin-based control strategies (Research paper – Rhouma – 2017)

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473 Research paper – Rhouma – 2017 – Post weaning diarrhea in pigs_ risk factors and non-colistin-based control strategies

473 Research paper
Post weaning diarrhea in pigs: risk factors and non-colistin-based control strategies by Rhouma, M., Fairbrother, J.M., Beaudry, F., and A. Letellier 2017 Acta Veterinaria Scandinavica 59: 31
In Significant Impact Groups: Pathogen management \ Managing sick animals; Targeted use of antibiotics; Feed / gut health
Species targeted: Pigs;
Age: Young;
Summary:
Post-weaning diarrhea (PWD) due to Escherichia coli is an economically important disease in pig production worldwide, affecting pigs during the first 2 weeks after weaning and characterized by sudden death or diarrhea, dehydration, and growth retardation in surviving piglets. Furthermore, many stress factors associated with the weaning period, such as removal from the sow, dietary changes, adapting to a new environment, mixing of pigs from different farms and histological changes in the small intestine, may negatively affect the response of immune system and lead to an intestinal gut dysfunction in pigs.
Where to find the original material: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437690/pdf/13028_2017_Article_299.pdf; https://dx.doi.org/10.1186%2Fs13028-017-0299-7
Country: CA

470 – Strategies to improve the growth and homogeneity of growing-finishing pigs – Feeder space and feeding management (Research paper – Lopez-Verge – 2018)

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470 Research paper – Lopez-Verge – 2018 – Strategies to improve the growth and homogeneity of growing-finishing pigs_feeder space and feeding management

470 Research paper
Strategies to improve the growth and homogeneity of growing-finishing pigs: feeder space and feeding management by Lopez-Verge, S., Gasa, J., Temple, D., Bonet, J., Coma, J., and D. Sola-Oriol 2018 Porcine Health Management 4: 09-Jan
In Significant Impact Groups: Feed / gut health \ Feeding management; Precision Livestock Farming & Early detection
Species targeted: Pigs;
Age: Adult;
Summary:
The aim was to test two strategies to improve the growth rate of the slow-growth pigs and to increase the batch’s homogeneity at slaughter. In Trial 1 a total of 264 weaned piglets were distributed into 24pens (11 piglets/pen) according to sex and initial body weight (BW) for the transition period (T; 28 d to 64 d).
470 Research paper – Lopez-Verge – 2018 – Strategies to improve the growth and homogeneity of growing-finishing pigs – Feeder space and feeding management
Where to find the original material: https://porcinehealthmanagement.biomedcentral.com/track/pdf/10.1186/s40813-018-0090-9.pdf; https://doi.org/10.1186/s40813-018-0090-9
Country: ES

448 – Pharming animals_ a global history of antibiotics in food production 1935–2017 (Research paper – Kirchhelle – 2018)

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448 Research paper – Kirchhelle – 2018 – Pharming animals_ a global history of antibiotics in food production 1935–2017

448 Research paper
Pharming animals: a global history of antibiotics in food production (1935–2017) by Kirchhelle, C. 2018 Palgrave Communications 4: 13-Jan
In Significant Impact Groups: AMU reduction strategies \ Monitoring and surveillance; Antibiotic use
Species targeted: Other;
Age: Not stated;
Summary:
From the mid-1950s onwards, agricultural antibiotic use also triggered increasing conflicts about drug residues and antimicrobial resistance (AMR). Significantly, antibiotic concerns did not develop evenly but instead gave rise to an international patchwork of different regulatory approaches. During a time of growing concerns about AMR and a post-antibiotic age, this article reconstructs the origins, global proliferation, and international regulation of agricultural antibiotics. It argues that policymakers need to remember the long history of regulatory failures that has resulted in current antibiotic infrastructures. For effective international stewardship to develop, it is necessary to address the economic dependencies, deep-rooted notions of development, and fragmented cultural understandings of risk, which all contribute to drive global antibiotic consumption and AMR.
448 Research paper – Kirchhelle – 2018 – Pharming animals_ a global history of antibiotics in food production 1935–2017
Where to find the original material: https://www.nature.com/articles/s41599-018-0152-2; 10.1057/s41599-018-0152-2
Country: Global

447 – Antimicrobial use and resistance in swine waste treatment systems (Research paper – Jindal – 2006)

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447 Research paper – Jindal – 2006 – Antimicrobial use and resistance in swine waste treatment systems

447 Research paper
Antimicrobial use and resistance in swine waste treatment systems by Jindal, A., Kocherginskaya, S., Mehboob, A., Robert, M., Mackie, R. I., Raskin, L., & Zilles, J. L. 2006 Applied and Environmental Microbiology 72: 7813-7820
In Significant Impact Groups: Pathogen management \  Precision Livestock Farming & Early detection
Species targeted: Pigs;
Age: Not stated;
Summary:
Chlortetracycline and the macrolide tylosin were identified as commonly used antimicrobials for growth promotion and prophylaxis in swine production. Resistance to these antimicrobials was measured throughout the waste treatment processes at five swine farms by culture-based and molecular methods. Conventional farm samples had the highest levels of resistance with both culture-based and molecular methods and had similar levels of resistance despite differences in antimicrobial usage. The levels of resistance in organic farm samples, where no antimicrobials were used, were very low by a culture-based method targeting fecal streptococci. The levels of tetracycline and MLSB resistance remained high throughout the waste treatment systems, suggesting that the potential impact of land application of treated wastes and waste treatment by-products on environmental levels of resistance should be investigated further.
447 Research paper – Jindal – 2006 – Antimicrobial use and resistance in swine waste treatment systems
Where to find the original material: https://aem.asm.org/content/72/12/7813; 10.1128/AEM.01087-06
Country: US

414 – The relationship between transition period diseases and lameness , feeding time and body condition during the dry period (Research paper – Daros – 2020)

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414 Research paper – Daros – 2020 – The relationship between transition period diseases and lameness

414 Research paper
The relationship between transition period diseases and lameness,feeding time, and body condition during the dry period by Daros, R.R., Eriksson, H.K., Weary, D.M. and M.A.G. von Keyserlingk 2020 Journal of Dairy Science 103: 649-665
In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
This research did record feeding time by placing cameras by the feed bunk and using different digital systems. Lameness was scored as well as body conditions score. The results support the hypothesis that lameness during the dry period is associated with transition diseases. Lameness identified 2 mo before calving was associated with increased risk of transition diseases, highlighting the importance of screening cows for lameness around dry-off. One of the mechanisms through which lameness may be associated with TD is through decreased feeding time; throughout the dry period, lame cows spent less time feeding than sound cows, and lower feeding time was in turn associated with higher odds of transition diseases. These results suggest that reducing lameness during the dry period and avoiding over conditioning at dry-off may improve transition health.
414 Research paper – Daros – 2020 – The relationship between transition period diseases and lameness, feeding time and body condition during the dry period
Where to find the original material: https://doi.org/10.3168/jds.2019-16975; https://doi.org/10.3168/jds.2019-16975
Country: Canada

413 – Behavioral changes before metritis diagnosis in dairy cows (Research paper – Neave – 2018)

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413 Research paper – Neave – 2018 – Behavioral changes before metritis diagnosis in dairy cows
413 Research paper
Behavioral changes before metritis diagnosis in dairy cows by Neave, H.W., Lomb, J., Weary, D.M., LeBlanc, S.J., Huzzey, J.M. and M.A.G. von Keyserling. 2018 Journal of Dairy Science 101: 4388-4399
In Significant Impact Groups: Precision Livestock Farming & Early detection
Species targeted: Dairy;
Age: Adult;
Summary:
The use of data loggers and electronic feding systems can help identify changes in feeding, social, and lying behavior which can contribute to identification of cows at risk of metritis.
413 Research paper – Neave – 2018 – Behavioral changes before metritis diagnosis in dairy cows
Where to find the original material: https://doi.org/10.3168/jds.2017-13078; https://doi.org/10.3168/jds.2017-13078
Country: British Columbia, Canada

Best Practice Guide: Precision Livestock Technologies

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400 – Predicting Disease in Transition Dairy Cattle (Research paper -Sahar – 2020)

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400 Research paper -Sahar – 2020 – Predicting Disease in Transition Dairy Cattle

.l M. Weary 2020 Animals 10: 15p paper
In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Dairy cattle often become ill after calving. This article is about models designed to predict which cows are likely to become ill based upon measures of the cows’ feeding and competitive behaviors before calving. The models had high sensitivity (73–71%), specificity (80–84%), positive predictive values (73–77%), and negative predictive values (80–80%) for both cows that had previously calved and for those calving for the first time. So they concluded that behaviors at the feed bunk before calving can predict cows at risk of becoming sick in the weeks after calving.

Where to find the original material: https://www.mdpi.com/2076-2615/10/6/928/htm; https://doi.org/10.3390/ani10060928
Country: British Columbia, Canada

399 – Machine learning based fog computing assisted data driven approach for early lameness detection in dairy cattle (Research paper – Taneja – 2020)

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399 Research paper – Taneja – 2020-Machine learning based fog computing assisted data driven approach for early lameness detection in dairy cattle

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Not stated;
Summary:
Timely lameness detection is one of the major and costliest health problems in dairy cattle. This poses a concern with increasing herd sizes, as prolonged or undetected lameness severely compromises cows’ health and welfare, and ultimately affects the milk productivity of the farm. To tackle this, an end-to-end IoT application that leverages advanced machine learning and data analytics techniques to monitor the cattle in real-time and identify lame cattle at an early stage has been developed. The proposed approach has been validated on a real world smart dairy farm setup consisting of a dairy herd of 150 cows in Waterford, Ireland. The detected lameness anomalies are further sent to farmer’s mobile device. The results indicate that lameness can be detected 3 days before it can be visually captured by the farmer with an overall accuracy of 87%. This means that the animal can either be isolated or treated immediately.

Where to find the original material: https://www.researchgate.net/publication/339914936_Machine_learning_based_fog_computing_assisted_data-driven_approach_for_early_lameness_detection_in_dairy_cattle; https://doi.org/10.1016/j.compag.2020.105286
Country: IE

398 -Technological tools for infection detection Case studies with the SOMO respiratory distress monitor in Belgian pig farms (Research paper – Cui – 2019)

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398 Research paper – Cui – 2019 -Technological tools for infection detection Case studies with the SOMO respiratory distress monitor in Belgian pig farms

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Pigs;
Age: Not stated;
Summary:
In a demonstration project in Flanders (Belgium), the SOMO Respiratory Distress Monitor of SoundTalks, was installed in 10 commercial fattening pig houses showing an automatic alarm when respiratory problems occurred. The warnings of the SOMO-system were analysed against the observations of the farmer. In most cases (74%) the alert situation was confirmed by the farmers inspection, and in 17% of the cases farmers started a medical treatment based on the alerts. At the time of the alert the number of sick animals was still low and the behaviour (activity, feed intake) of the animals still normal in most cases (86%). It was confirmed by the farmers that the use of the SOMO system helped to reduce the amount of medication, because treatments were done in an early stage of infection.

Where to find the original material: http://www.eaplf.eu/wp-content/uploads/ECPLF_19_book.pdf; ISBN 978-1-84170-654-2
Country: BE