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Harper J, Bunter KL. Review: Improving pig survival with a focus on birthweight: a practical breeding perspective. Animal 2024; 18 Suppl 1:100914. [PMID: 37574357 DOI: 10.1016/j.animal.2023.100914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/09/2023] [Accepted: 07/11/2023] [Indexed: 08/15/2023] Open
Abstract
Survival of growing pigs through to slaughter age is not only a key driver of profitability but also has implications for animal welfare. Changing preweaning mortality by over 3% gives a similar change in profit per pig as changing postweaning mortality by 1%. There is significant scope to improve both traits through management and breeding to improve survival. The aim of this literature review was to explore the relationship between litter size and piglet birthweight and the detrimental impact this negative association has had on pig survival, along with genetic strategies that have been implemented in breeding programmes. It is suggested that the primary effect of litter size on mortality was indirect, through the effects of litter size on individual piglet birthweights. The circumstances affecting the litter a piglet was born into were the most important for determining the birthweight of individual piglets, rather than the genetic make-up of the individual piglet itself. Therefore, breeding programmes should include the average piglet birthweight of a litter (i.e., a sow trait) rather than individual piglet birthweight to maintain the weight of piglets at birth. The relative weighting of litter size and average piglet birthweight should be done in a manner that avoids selecting heavy pigs from small litters. Additional genetic strategies to improve survival include survival at the litter level, or survival of individual piglets or enhanced through the use of genomic information. At the litter level, litter size at day 5 and weaning can be considered as sow traits, but the use of these traits depends on the recording environment. At the individual piglet level, pre- and postweaning survival can be recorded as 0/1 traits and analysed directly. Although heritabilities are low for all these traits, genetic improvements can be made. For preweaning survival, the genes of the nurse sow are more important than the genes of the individual piglet. The nurse sow model captures both the lactation and gestation effects, and the information obtained when piglets born from different litters are reared together. However, once a piglet is weaned, its own genes became more important for the expression of postweaning mortality outcomes. Finally, for a successful selection programme, combining the average piglet birthweight at the litter level and mortality data based on individual piglet records (not solely birthweight) might yield the best response in piglet survival.
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Affiliation(s)
- J Harper
- Rivalea (Australia) Pty. Ltd., JBS Australia Pork Division, Redlands Road, Corowa, NSW 2646, Australia.
| | - K L Bunter
- Animal Genetics and Breeding Unit, A Joint Venture of NSW Department of Primary Industries and University of New England, Armidale, NSW 2350, Australia
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Magalhães ES, Zimmerman JJ, Thomas P, Moura CAA, Trevisan G, Schwartz KJ, Burrough E, Holtkamp DJ, Wang C, Rademacher CJ, Silva GS, Linhares DCL. Utilizing productivity and health breeding-to-market information along with disease diagnostic data to identify pig mortality risk factors in a U.S. swine production system. Front Vet Sci 2024; 10:1301392. [PMID: 38274655 PMCID: PMC10808511 DOI: 10.3389/fvets.2023.1301392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 11/29/2023] [Indexed: 01/27/2024] Open
Abstract
Aggregated diagnostic data collected over time from swine production systems is an important data source to investigate swine productivity and health, especially when combined with records concerning the pre-weaning and post-weaning phases of production. The combination of multiple data streams collected over the lifetime of the pigs is the essence of the whole-herd epidemiological investigation. This approach is particularly valuable for investigating the multifaceted and ever-changing factors contributing to wean-to-finish (W2F) swine mortality. The objective of this study was to use a retrospective dataset ("master table") containing information on 1,742 groups of pigs marketed over time to identify the major risk factors associated with W2F mortality. The master table was built by combining historical breed-to-market performance and health data with disease diagnostic records (Dx Codes) from marketed groups of growing pigs. After building the master table, univariate analyses were conducted to screen for risk factors to be included in the initial multivariable model. After a stepwise backward model selection approach, 5 variables and 2 interactions remained in the final model. Notably, the diagnosis variable significantly associated with W2F mortality was porcine reproductive and respiratory syndrome virus (PRRSV). Closeouts with clinical signs suggestive of Salmonella spp. or Escherichia coli infection were also associated with higher W2F mortality. Source sow farm factors that remained significantly associated with W2F mortality were the sow farm PRRS status, average weaning age, and the average pre-weaning mortality. After testing for the possible interactions in the final model, two interactions were significantly associated with wean-to-finish pig mortality: (1) sow farm PRRS status and a laboratory diagnosis of PRRSV and (2) average weaning age and a laboratory diagnosis of PRRS. Closeouts originating from PRRS epidemic or PRRS negative sow farms, when diagnosed with PRRS in the growing phase, had the highest W2F mortality rates. Likewise, PRRS diagnosis in the growing phase was an important factor in mortality, regardless of the average weaning age of the closeouts. Overall, this study demonstrated the utility of a whole-herd approach when analyzing diagnostic information along with breeding-to-market productivity and health information, to measure the major risk factors associated with W2F mortality in specified time frames and pig populations.
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Affiliation(s)
- Edison S. Magalhães
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Jeff J. Zimmerman
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Pete Thomas
- Iowa Select Farms, Iowa Falls, IA, United States
| | | | - Giovani Trevisan
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Kent J. Schwartz
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Eric Burrough
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Derald J. Holtkamp
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Chong Wang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
- Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, IA, United States
| | - Christopher J. Rademacher
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Gustavo S. Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Daniel C. L. Linhares
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
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Kawasaki K, Zhao J, Takao N, Sato M, Ban T, Tamamaki K, Kagami M, Yano K. Sustenance Trial to Analyze the Effects of Black Soldier Fly Larvae Meal on the Reproductive Efficiency of Sows and the Hematological Properties of Suckling and Weaning Piglets. Animals (Basel) 2023; 13:3410. [PMID: 37958165 PMCID: PMC10647472 DOI: 10.3390/ani13213410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
The escalating demand for meat, driven by global population growth, necessitates sustainable solutions for animal feed production. This study investigated the effects of substituting conventional protein resources in sow and piglet dietary regimens with black soldier fly (BSF; Hermetia illucens) meal on reproductive efficiency, blood profile, piglet growth, and intestinal tissue morphology. The results indicate that substituting animal-derived and soy proteins with BSF meal does not compromise sow reproductive performance. Although no notable disparities were observed in piglet growth, the feed conversion ratio from the 28- to 35-day age marks were lower in the BSF-fed groups. This suggests that the animal protein-BSF substitution rate may require optimization, potentially involving chitin removal from BSF meal to enhance digestibility. Minor variations in the hematological composition and properties in piglets, with elevated high-density lipoprotein cholesterol levels in the high BSF group at the 28-day mark, were potentially attributable to the unique fatty acid composition of BSF meal. Moreover, this study potentiates future exploration into the efficacy of complete animal protein substitution with BSF meals on piglet nutrition and physiology, particularly in fattening pigs. The practical implementation of BSF meals in animal feed production holds promise for enhancing the sustainability of the swine industry.
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Affiliation(s)
- Kiyonori Kawasaki
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Junliang Zhao
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Natsu Takao
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Masaki Sato
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Takuma Ban
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Kaoru Tamamaki
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Masanori Kagami
- Department of Applied Biological Science, Faculty of Agriculture, Kagawa University, Ikenobe 2393, Miki-cho, Kita-gun, Kagawa 761-0795, Japan; (J.Z.)
| | - Kiminobu Yano
- University Farm, Kagawa University, Showa 300-2, Sanuki, Kagawa 769-2304, Japan
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Neila-Ibáñez C, Napp S, Pailler-García L, Franco-Martínez L, Cerón JJ, Aragon V, Casal J. Risk factors associated with Streptococcus suis cases on pig farms in Spain. Vet Rec 2023; 193:e3056. [PMID: 37269537 DOI: 10.1002/vetr.3056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 04/20/2023] [Accepted: 05/08/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Streptococcus suis can cause meningitis, polyarthritis and acute death in piglets. However, the risk factors associated with S. suis infection remain incompletely understood. Therefore, a longitudinal study was carried out, in which six batches from two Spanish pig farms with S. suis problems were repeatedly examined to determine possible risk factors. METHODS A prospective case-control study was conducted, and potential risk factors were evaluated using mixed-effects logistic regression models. The explanatory variables included: (a) concomitant pathogens; (b) biomarkers associated with stress, inflammation and oxidative status; (c) farm environmental factors; and (d) parity and S. suis presence in sows. Three models were built to study the effect of these variables, including two to assess the risk factors involved in the subsequent development of disease. RESULTS Risk factors for S. suis-associated disease included porcine reproductive and respiratory syndrome virus co-infection at weaning (odds ratio [OR] = 6.69), sow parity (OR = 0.71), haptoglobin level before weaning (OR = 1.01), relative humidity (OR = 1.11) and temperature (OR = 0.13). LIMITATIONS Laboratory diagnosis was done at the batch level, with individual diagnosis based on clinical signs only. CONCLUSIONS This study confirms the multifactorial nature of S. suis-associated disease, with both environmental factors and factors related to the host involved in disease development. Controlling these factors may, therefore, help prevent the appearance of disease.
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Affiliation(s)
- Carlos Neila-Ibáñez
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe, Bellaterra, Spain
| | - Sebastián Napp
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe, Bellaterra, Spain
| | - Lola Pailler-García
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe, Bellaterra, Spain
| | - Lorena Franco-Martínez
- Interdisciplinary Laboratory of Clinical Analysis, University of Murcia, Espinardo, Spain
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis, University of Murcia, Espinardo, Spain
| | - Virginia Aragon
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Centre de Recerca en Sanitat Animal, Universitat Autònoma de Barcelona, Bellaterra, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe, Bellaterra, Spain
| | - Jordi Casal
- Department of Animal Health and Anatomy, Faculty of Veterinary Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
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Magalhaes ES, Zhang D, Wang C, Thomas P, Moura CAA, Holtkamp DJ, Trevisan G, Rademacher C, Silva GS, Linhares DCL. Field Implementation of Forecasting Models for Predicting Nursery Mortality in a Midwestern US Swine Production System. Animals (Basel) 2023; 13:2412. [PMID: 37570221 PMCID: PMC10417698 DOI: 10.3390/ani13152412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/19/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
The performance of five forecasting models was investigated for predicting nursery mortality using the master table built for 3242 groups of pigs (~13 million animals) and 42 variables, which concerned the pre-weaning phase of production and conditions at placement in growing sites. After training and testing each model's performance through cross-validation, the model with the best overall prediction results was the Support Vector Machine model in terms of Root Mean Squared Error (RMSE = 0.406), Mean Absolute Error (MAE = 0.284), and Coefficient of Determination (R2 = 0.731). Subsequently, the forecasting performance of the SVM model was tested on a new dataset containing 72 new groups, simulating ongoing and near real-time forecasting analysis. Despite a decrease in R2 values on the new dataset (R2 = 0.554), the model demonstrated high accuracy (77.78%) for predicting groups with high (>5%) or low (<5%) nursery mortality. This study demonstrated the capability of forecasting models to predict the nursery mortality of commercial groups of pigs using pre-weaning information and stocking condition variables collected post-placement in nursery sites.
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Affiliation(s)
- Edison S. Magalhaes
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Danyang Zhang
- Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, IA 50011, USA
| | - Chong Wang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
- Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, IA 50011, USA
| | - Pete Thomas
- Iowa Select Farms, Iowa Falls, IA 50126, USA
| | | | - Derald J. Holtkamp
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Giovani Trevisan
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Christopher Rademacher
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Gustavo S. Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Daniel C. L. Linhares
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
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Peltoniemi O, Tanskanen T, Kareskoski M. One Health challenges for pig reproduction. Mol Reprod Dev 2023; 90:420-435. [PMID: 36638261 DOI: 10.1002/mrd.23666] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 01/15/2023]
Abstract
The current state of the world challenges pig reproduction as an important part of One Health, which involves interrelationships between animal, human and environmental health. The One Health concept underlines a comparative aspect in reproductive physiology and disease occurrence, bridging knowledge from one species to another. Seasonal changes in the environment affect pig reproduction and climate change may further strengthen those effects. Endocrine-disrupting chemicals (EDCs), and specifically phthalates and heavy metals, interfere with endocrine function, and thereby sexual behavior, fertilization capacity and steroidogenesis. Reproductive infections and extended semen storage are important indications for antimicrobial use. Innovative solutions are needed to explore alternatives to antimicrobials. Efforts to ensure reproductive efficiency have prolonged farrowing as litter size has doubled over the past three decades, compromising immune transfer and welfare. Physiological, metabolic and programming related events around parturition are key areas for future One Health research in pig reproduction. In conclusion, climate change challenges reproductive management and breeding. More resilient pigs that can tolerate harsh environment but maintain high reproductive performance are needed. EDCs continue to grow as an environmental challenge for reproductive management and alternatives to antibiotics will be required.
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Affiliation(s)
- Olli Peltoniemi
- Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Faculty of Veterinary Medicine, Helsinki One Health, University of Helsinki, Helsinki, Finland
| | - Topi Tanskanen
- Faculty of Veterinary Medicine, Helsinki One Health, University of Helsinki, Helsinki, Finland
| | - Maria Kareskoski
- Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
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Ramirez-Camba CD, Levesque CL. The Linear-Logistic Model: A Novel Paradigm for Estimating Dietary Amino Acid Requirements. Animals (Basel) 2023; 13:ani13101708. [PMID: 37238138 DOI: 10.3390/ani13101708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/16/2023] [Accepted: 05/20/2023] [Indexed: 05/28/2023] Open
Abstract
This study aimed to determine whether current methods for estimating AA requirements for animal health and welfare are sufficient. An exploratory data analysis (EDA) was conducted, which involved a review of assumptions underlying AA requirements research, a data mining approach to identify animal responses to dietary AA levels exceeding those for maximum protein retention, and a literature review to assess the physiological relevance of the linear-logistic model developed through the data mining approach. The results showed that AA dietary levels above those for maximum growth resulted in improvements in key physiological responses, and the linear-logistic model depicted the AA level at which growth and protein retention rates were maximized, along with key metabolic functions related to milk yield, litter size, immune response, intestinal permeability, and plasma AA concentrations. The results suggest that current methods based solely on growth and protein retention measurements are insufficient for optimizing key physiological responses associated with health, survival, and reproduction. The linear-logistic model could be used to estimate AA doses that optimize these responses and, potentially, survival rates.
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Affiliation(s)
- Christian D Ramirez-Camba
- Department of Animal Science, University of Minnesota, St. Paul, MN 55108, USA
- Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA
| | - Crystal L Levesque
- Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA
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Bortoluzzi EM, Goering MJ, Ochoa SJ, Holliday AJ, Mumm JM, Nelson CE, Wu H, Mote BE, Psota ET, Schmidt TB, Jaberi-Douraki M, Hulbert LE. Evaluation of Precision Livestock Technology and Human Scoring of Nursery Pigs in a Controlled Immune Challenge Experiment. Animals (Basel) 2023; 13:ani13020246. [PMID: 36670787 PMCID: PMC9854951 DOI: 10.3390/ani13020246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/08/2022] [Accepted: 01/04/2023] [Indexed: 01/12/2023] Open
Abstract
The objectives were to determine the sensitivity, specificity, and cutoff values of a visual-based precision livestock technology (NUtrack), and determine the sensitivity and specificity of sickness score data collected with the live observation by trained human observers. At weaning, pigs (n = 192; gilts and barrows) were randomly assigned to one of twelve pens (16/pen) and treatments were randomly assigned to pens. Sham-pen pigs all received subcutaneous saline (3 mL). For LPS-pen pigs, all pigs received subcutaneous lipopolysaccharide (LPS; 300 μg/kg BW; E. coli O111:B4; in 3 mL of saline). For the last treatment, eight pigs were randomly assigned to receive LPS, and the other eight were sham (same methods as above; half-and-half pens). Human data from the day of the challenge presented high true positive and low false positive rates (88.5% sensitivity; 85.4% specificity; 0.871 Area Under Curve, AUC), however, these values declined when half-and-half pigs were scored (75% sensitivity; 65.5% specificity; 0.703 AUC). Precision technology measures had excellent AUC, sensitivity, and specificity for the first 72 h after treatment and AUC values were >0.970, regardless of pen treatment. These results indicate that precision technology has a greater potential for identifying pigs during a natural infectious disease event than trained professionals using timepoint sampling.
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Affiliation(s)
- Eduarda M. Bortoluzzi
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Mikayla J. Goering
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Sara J. Ochoa
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Aaron J. Holliday
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68505, USA
| | - Jared M. Mumm
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Catherine E. Nelson
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Hui Wu
- Department of Statistics, Kansas State University, Manhattan, KS 66506, USA
| | - Benny E. Mote
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68505, USA
| | - Eric T. Psota
- Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Ty B. Schmidt
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68505, USA
| | - Majid Jaberi-Douraki
- Department of Statistics, Kansas State University, Manhattan, KS 66506, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66506, USA
- 1-DATA, Kansas State University Olathe, Olathe, KS 66061, USA
| | - Lindsey E. Hulbert
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
- Correspondence: ; Tel.: +1-785-477-2904
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Rademacher C, Brown J, Karriker L. Impact of human behavior on the spread of African swine fever virus: what every veterinarian should know. J Am Vet Med Assoc 2022; 260:1413-1417. [PMID: 35905149 DOI: 10.2460/javma.22.06.0250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
African swine fever virus was first identified and characterized in Africa in the early 1900s, but it has spread exponentially in Europe, Asia, and the Caribbean since 2018. While it is a disease that exclusively affects swine, thus posing no infectious risk to human health, the virus's resiliency and human behavior have facilitated the rapid global dissemination of the virus over the past 4 years. In this Currents in One Health, we will review its epidemiology, viral characteristics, host range, and current prevention strategies; the current perspective on what a response would look like and who would be affected; and if the virus was ever found in the US. Due to the fact that the virus affects all breeds of Sus scrofa, including those used for food and companionship, it is vital for all veterinarians to work together to keep the virus out of the US. It is only through the collaborative efforts of multiple disciplines working locally, nationally, and globally that we can contain the spread of this virus.
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10
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Ramirez BC, Hayes MD, Condotta ICFS, Leonard SM. Impact of housing environment and management on pre-/post-weaning piglet productivity. J Anim Sci 2022; 100:6609155. [PMID: 35708591 PMCID: PMC9202573 DOI: 10.1093/jas/skac142] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/11/2022] [Indexed: 11/24/2022] Open
Abstract
The complex environment surrounding young pigs reared in intensive housing systems directly influences their productivity and livelihood. Much of the seminal literature utilized housing and husbandry practices that have since drastically evolved through advances in genetic potential, nutrition, health, and technology. This review focuses on the environmental interaction and responses of pigs during the first 8 wk of life, separated into pre-weaning (creep areas) and post-weaning (nursery or wean-finish) phases. Further, a perspective on instrumentation and precision technologies for animal-based (physiological and behavioral) and environmental measures documents current approaches and future possibilities. A warm microclimate for piglets during the early days of life, especially the first 12 h, is critical. While caretaker interventions can mitigate the extent of hypothermia, low birth weight remains a dominant risk factor for mortality. Post-weaning, the thermoregulation capabilities have improved, but subsequent transportation, nutritional, and social stressors enhance the requisite need for a warm, low draft environment with the proper flooring. A better understanding of the individual environmental factors that affect young pigs as well as the creation of comprehensive environment indices or improved, non-contact sensing technology is needed to better evaluate and manage piglet environments. Such enhanced understanding and evaluation of pig–environment interaction could lead to innovative environmental control and husbandry interventions to foster healthy and productive pigs.
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Affiliation(s)
- Brett C Ramirez
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA
| | - Morgan D Hayes
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA
| | - Isabella C F S Condotta
- Department of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Suzanne M Leonard
- Department of Animal Science, North Carolina State University, Raleigh, NC 27695, USA
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11
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Johnson AK, Rault JL, Marchant JN, Baxter EM, O'Driscoll K. Improving young pig welfare on-farm: The Five Domains Model. J Anim Sci 2022; 100:6583200. [PMID: 35536191 PMCID: PMC9202571 DOI: 10.1093/jas/skac164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
Considering welfare through the "neonatal and nursery pig perspective" is an exciting approach, and one that resonates with consumers. Overlaying this with the Five Domains Model, as we suggest in this review, points to practical on-farm improvements that provide each pig the opportunity to experience positive mental states. The Five Domains Model is broken into physical and functional states, that includes Domain 1 Nutrition, Domain 2 Physical Environment, Domain 3 Health and, Domain 4 Behavioral Interaction, and Domain 5 Mental State. The Five Domains Model can build on the breadth and depth of swine welfare science to highlight opportunities to improve welfare on-farm. In Domain 1 management of increasingly large litters is considered, with examples of sow vs. artificial rearing, colostrum quality and quantity, and creep feed management strategies. Efforts can result in positive mental states such as feeling full and content and the ability to experience pleasure of drinking and food tastes/smells. Domain 2 considers space complexity and access to key resources, along with thermal and physical amenities, to promote feelings of physical comfort. Domain 3 considers pig health in three broad, yet inter-linking categories, (a) congenital and hereditary health, (b) environmental pathogen load and, (c) colostrum quality and quantity, and its effect on the microbiome. Improvements can result in a pig that displays vitality and feels healthy. Domain 4 provides the pig opportunities to express its rich behavioral repertoire, specifically positive social interactions, play, and exploration. These efforts can result in pigs feeling calm, safe, comfortable, having companionship, engaged, interested and rewarded. In conclusion, using the Five Domains Model can highlight numerous opportunities to improve current and future housing and management through the "neonatal and nursery pig perspective" with a focus on inducing positive mental states that can result in improved quality of life and welfare state.
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Affiliation(s)
- A K Johnson
- Department of Animal Science, Iowa State University, Ames, IA, 50001, USA.,Iowa Pork Industry Center, Iowa State University, Ames, IA, 50001, USA
| | - J-L Rault
- Institute of Animal Welfare Science, University of Veterinary Medicine, Vienna, A-1210, Austria
| | - J N Marchant
- USDA-ARS Livestock Behavior Research Unit, West Lafayette, IN, 47907, USA
| | - E M Baxter
- Animal Behaviour and Welfare, Animal and Veterinary Sciences Research Group, SRUC, West Mains Road, Edinburgh EH9 3JG, UK
| | - K O'Driscoll
- Pig Development Department, Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy Co. Cork, P61 C997, Ireland
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12
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Antimicrobial Susceptibility Testing of Porcine Bacterial Pathogens: Investigating the Prospect of Testing a Representative Drug for Each Antimicrobial Family. Antibiotics (Basel) 2022; 11:antibiotics11050638. [PMID: 35625283 PMCID: PMC9137606 DOI: 10.3390/antibiotics11050638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 11/30/2022] Open
Abstract
Antimicrobial susceptibility testing is necessary to carry out antimicrobial stewardship but a limited number of drugs belonging to each antimicrobial family has to be tested for technical limitations and economic resources. In this study, we have determined the minimal inhibitory concentration, using microdilution following international standards (CLSI), for 490 Actinobacillus pleuropneumoniae, 285 Pasteurella multocida, 73 Bordetella bronchiseptica, 398 Streptococcus suis and 1571 Escherichia coli strains from clinical cases collected in Spain between 2018 and 2020. The antimicrobial susceptibility pattern was deciphered using a principal component analysis for each bacterium and a matrix correlation (high > 0.8, medium 0.5−0.8 and low < 0.5) was obtained for each pair of antimicrobials. No significant associations were observed between MIC patterns for different antimicrobial families, suggesting that co-selection mechanisms are not generally present in these porcine pathogens. However, a high correlation was observed between the fluroquinolones (marbofloxacin and enrofloxacin) for all mentioned pathogens and for ceftiofur and cefquinome for E. coli and S. suis. Moreover, a significant association was also observed for tetracyclines (doxycycline and oxytetracycline) and B. bronchiseptica and tildipirosin/tulathromycin for P. multocida. These results suggest that generally, a representative drug per antimicrobial class cannot be selected, however, for some drug−bug combinations, MIC values from one representative drug could be extrapolated to the whole antimicrobial family.
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13
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Chrun T, Maze EA, Vatzia E, Martini V, Paudyal B, Edmans MD, McNee A, Manjegowda T, Salguero FJ, Wanasen N, Koonpaew S, Graham SP, Tchilian E. Simultaneous Infection With Porcine Reproductive and Respiratory Syndrome and Influenza Viruses Abrogates Clinical Protection Induced by Live Attenuated Porcine Reproductive and Respiratory Syndrome Vaccination. Front Immunol 2021; 12:758368. [PMID: 34858411 PMCID: PMC8632230 DOI: 10.3389/fimmu.2021.758368] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/21/2021] [Indexed: 11/30/2022] Open
Abstract
The porcine respiratory disease complex (PRDC) is responsible for significant economic losses in the pig industry worldwide. Porcine reproductive and respiratory syndrome virus (PRRSV) and swine influenza virus are major viral contributors to PRDC. Vaccines are cost-effective measures for controlling PRRS, however, their efficacy in the context of co-infections has been poorly investigated. In this study, we aimed to determine the effect of PRRSV-2 and swine influenza H3N2 virus co-infection on the efficacy of PRRSV modified live virus (MLV) vaccination, which is widely used in the field. Following simultaneous challenge with contemporary PRRSV-2 and H3N2 field isolates, we found that the protective effect of PRRS MLV vaccination on clinical disease and pathology was abrogated, although viral load was unaffected and antibody responses were enhanced. In contrast, co-infection in non-immunized animals reduced PRRSV-2 viremia and H3N2 virus load in the upper respiratory tract and potentiated T cell responses against both PRRSV-2 and H3N2 in the lung. Further analysis suggested that an upregulation of inhibitory cytokines gene expression in the lungs of vaccinated pigs may have influenced responses to H3N2 and PRRSV-2. These findings provide important insights into the effect of viral co-infections on PRRS vaccine efficacy that may help identify more effective vaccination strategies against PRDC in the field.
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Affiliation(s)
| | | | | | | | | | | | - Adam McNee
- The Pirbright Institute, Woking, United Kingdom
| | | | | | - Nanchaya Wanasen
- Virology and Cell Technology Laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathumthani, Thailand
| | - Surapong Koonpaew
- Virology and Cell Technology Laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathumthani, Thailand
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14
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Magalhães ES, Zimmerman JJ, Thomas P, Moura CAA, Trevisan G, Holtkamp DJ, Wang C, Rademacher C, Silva GS, Linhares DCL. Whole-herd risk factors associated with wean-to-finish mortality under the conditions of a Midwestern USA swine production system. Prev Vet Med 2021; 198:105545. [PMID: 34801793 DOI: 10.1016/j.prevetmed.2021.105545] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 11/11/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Abstract
Swine wean-to-finish (W2F) mortality is a multifactorial, dynamic process and a key performance indicator of commercial swine production. Although swine producers typically capture the relevant data, analysis of W2F mortality risk factors is often hindered by the fact that, even if data is available, they are typically in different formats, non-uniform, and dispersed among multiple unconnected databases. In this study, an automated framework was created to link multiple data streams to specific cohorts of market animals, including sow farm productivity parameters, sow farm and growing pig health factors, facilities, management factors, and closeout data from a Midwestern USA production system. The final dataset (master-table) contained breeding-to-market data for 1,316 cohorts of pigs marketed between July 2018 and June 2019. Following integration into a master-table, continuous explanatory variables were categorized into quartiles averages, and the W2F mortality was log-transformed, reporting geometric mean mortality of 8.69 % for the study population. Further, univariate analyses were performed to identify individual variables associated with W2F mortality (p < 0.10) for further inclusion in a multivariable model, where model selection was applied. The final multivariable model consisted of 13 risk factors and accounted for 68.2 % (R2) of the variability of the W2F mortality, demonstrating that sow farm health and performance are closely linked to downstream W2F mortality. Higher sow farm productivity was associated with lower subsequent W2F mortality and, conversely, lower sow farm productivity with higher W2F mortality e.g., groups weaned in the highest quartiles for pre-weaning mortality and abortion rate had 13.5 %, and 12.5 %, respectively, which was statistically lower than the lowest quartiles for the same variables (10.5 %, and 10.6 %). Moreover, better sow farm health status was also associated with lower subsequent W2F mortality. A significant difference was detected in W2F mortality between epidemic versus negative groups for porcine reproductive and respiratory syndrome virus (15.4 % vs 8.7 %), and Mycoplasma hyopneumoniae epidemic versus negative groups (13.7 % vs 9.9 %). Overall, this study demonstrated the application of a whole-herd analysis by aggregating information of the pre-weaning phase with the post-weaning phase (breeding-to-market) to identify and measure the major risk factors of W2F mortality.
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Affiliation(s)
- Edison S Magalhães
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Jeffrey J Zimmerman
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Pete Thomas
- Iowa Select Farms, Iowa Falls, IA, United States
| | | | - Giovani Trevisan
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Derald J Holtkamp
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Chong Wang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States; Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, IA, United States
| | - Christopher Rademacher
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Gustavo S Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Daniel C L Linhares
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States.
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15
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Savoldi IR, Ibelli AMG, Cantão ME, Peixoto JDO, Pires MP, Mores MAZ, Lagos EB, Lopes JS, Zanella R, Ledur MC. A joint analysis using exome and transcriptome data identifiescandidate polymorphisms and genes involved with umbilical hernia in pigs. BMC Genomics 2021; 22:818. [PMID: 34773987 PMCID: PMC8590244 DOI: 10.1186/s12864-021-08138-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 10/29/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Umbilical Hernia (UH) is characterized by the passage of part of the intestine through the umbilical canal forming the herniary sac. There are several potential causes that can lead to the umbilical hernia such as bacterial infections, management conditions and genetic factors. Since the genetic components involved with UH are poorly understood, this study aimed to identify polymorphisms and genes associated with the manifestation of umbilical hernia in pigs using exome and transcriptome sequencing in a case and control design. RESULTS In the exome sequencing, 119 variants located in 58 genes were identified differing between normal and UH-affected pigs, and in the umbilical ring transcriptome, 46 variants were identified, located in 27 genes. Comparing the two methodologies, we obtained 34 concordant variants between the exome and transcriptome analyses, which were located in 17 genes, distributed in 64 biological processes (BP). Among the BP involved with UH it is possible to highlight cell adhesion, cell junction regulation, embryonic morphogenesis, ion transport, muscle contraction, within others. CONCLUSIONS We have generated the first exome sequencing related to normal and umbilical hernia-affected pigs, which allowed us to identify several variants possibly involved with this disorder. Many of those variants present in the DNA were confirmed with the RNA-Seq results. The combination of both exome and transcriptome sequencing approaches allowed us to better understand the complex molecular mechanisms underlying UH in pigs and possibly in other mammals, including humans. Some variants found in genes and other regulatory regions are highlighted as strong candidates to the development of UH in pigs and should be further investigated.
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Affiliation(s)
- Igor Ricardo Savoldi
- Programa de Pós-Graduação em Zootecnia, Universidade do Estado de Santa Catarina, UDESC-Oeste, Chapecó, SC 89815-630 Brazil
| | - Adriana Mércia Guaratini Ibelli
- Embrapa Suínos e Aves, 321, Concórdia, SC 89715-899 Brazil
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, PR 85040-167 Brazil
| | | | - Jane de Oliveira Peixoto
- Embrapa Suínos e Aves, 321, Concórdia, SC 89715-899 Brazil
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, PR 85040-167 Brazil
| | - Michele Porto Pires
- Instituto Catarinense de Sanidade Agropecuária, Florianópolis, SC 88034001 Brazil
| | | | - Essamai Brizola Lagos
- Programa de Pós-Graduação em Zootecnia, Universidade Estadual de Ponta Grossa, Ponta Grossa, PR Brazil 84030-900
| | | | - Ricardo Zanella
- Universidade de Passo Fundo, Passo Fundo, RS 99052-900 Brazil
- Programa de Mestrado em BioExperimentação, Universidade de Passo Fundo, Passo Fundo, RS 99052-900 Brazil
| | - Mônica Corrêa Ledur
- Programa de Pós-Graduação em Zootecnia, Universidade do Estado de Santa Catarina, UDESC-Oeste, Chapecó, SC 89815-630 Brazil
- Embrapa Suínos e Aves, 321, Concórdia, SC 89715-899 Brazil
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16
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Kikuti M, Paploski IAD, Pamornchainavakul N, Picasso-Risso C, Schwartz M, Yeske P, Leuwerke B, Bruner L, Murray D, Roggow BD, Thomas P, Feldmann L, Allerson M, Hensch M, Bauman T, Sexton B, Rovira A, VanderWaal K, Corzo CA. Emergence of a New Lineage 1C Variant of Porcine Reproductive and Respiratory Syndrome Virus 2 in the United States. Front Vet Sci 2021; 8:752938. [PMID: 34733906 PMCID: PMC8558496 DOI: 10.3389/fvets.2021.752938] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/22/2021] [Indexed: 12/02/2022] Open
Abstract
We report an ongoing regional outbreak of an emerging porcine reproductive and respiratory syndrome virus (PRRSV2) variant within Lineage 1C affecting 154 breeding and grow-finishing sites in the Midwestern U.S. Transmission seemed to have occurred in two waves, with the first peak of weekly cases occurring between October and December 2020 and the second starting in April 2021. Most of cases occurred within a 120 km radius. Both orf5 and whole genome sequencing results suggest that this represents the emergence of a new variant within Lineage 1C distinct from what has been previously circulating. A case-control study was conducted with 50 cases (sites affected with the newly emerged variant) and 58 controls (sites affected with other PRRSV variants) between October and December 2020. Sites that had a market vehicle that was not exclusive to the production system had 0.04 times the odds of being a case than a control. A spatial cluster (81.42 km radius) with 1.68 times higher the number of cases than controls was found. The average finishing mortality within the first 4 weeks after detection was higher amongst cases (4.50%) than controls (0.01%). The transmission of a highly similar virus between different farms carrying on trough spring rises concerns for the next high transmission season of PRRS.
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Affiliation(s)
- Mariana Kikuti
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Igor A D Paploski
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Nakarin Pamornchainavakul
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Catalina Picasso-Risso
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Mark Schwartz
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States.,Schwartz Farms Inc., Sleepy Eye, MN, United States
| | - Paul Yeske
- Swine Vet Center, St. Peter, MN, United States
| | | | | | | | | | - Pete Thomas
- Iowa Select Farms, Iowa Falls, IA, United States
| | | | | | | | | | | | - Albert Rovira
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Kimberly VanderWaal
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Cesar A Corzo
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
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17
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Antibiotic Resistance: From Pig to Meat. Antibiotics (Basel) 2021; 10:antibiotics10101209. [PMID: 34680790 PMCID: PMC8532907 DOI: 10.3390/antibiotics10101209] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 09/29/2021] [Accepted: 10/01/2021] [Indexed: 12/14/2022] Open
Abstract
Pork meat is in high demand worldwide and this is expected to increase. Pork is often raised in intensive conditions, which is conducive to the spread of infectious diseases. Vaccines, antibiotics, and other biosafety measures help mitigate the impact of infectious diseases. However, bacterial strains resistant to antibiotics are more and more frequently found in pig farms, animals, and the environment. It is now recognized that a holistic perspective is needed to sustainably fight antibiotic resistance, and that an integrated One Health approach is essential. With this in mind, this review tackles antibiotic resistance throughout the pork raising process, including their microbiome; many factors of their environment (agricultural workers, farms, rivers, etc.); and an overview of the impact of antibiotic resistance on pork meat, which is the end product available to consumers. Antibiotic resistance, while a natural process, is a public health concern. If we react, and act, collectively, it is expected to be, at least partially, reversible with judicious antibiotic usage and the development of innovative strategies and tools to foster animal health.
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18
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Risk Factors for Antimicrobial Use on Irish Pig Farms. Animals (Basel) 2021; 11:ani11102828. [PMID: 34679849 PMCID: PMC8532697 DOI: 10.3390/ani11102828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/22/2021] [Accepted: 09/25/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Antimicrobial resistance (AMR) is a major threat to public health. There are concerns that antimicrobial use (AMU) in agriculture has a role in the development of AMR. Pigs are one of the main consumers of veterinary antimicrobials and a better understanding of the drivers for AMU in this sector will help in efforts to reduce use. The aim of this study was to investigate the associations between antimicrobial use, farm characteristics, biosecurity, the presence of respiratory disease on the farm and health management practices on Irish pig farms. Farms that manufactured their feed on-site had lower total AMU than farms that purchased their feed from a feed mill. Higher levels of lung abscesses and pericarditis (inflammation of the lining around the heart), both indicators of respiratory disease, were associated with increased AMU. Higher levels of pericarditis were also associated with increased use of critically important antimicrobials. Farms vaccinating against swine influenza also had higher AMU. Farms that administered prophylactic antimicrobial treatments to piglets had higher use of individual treatments and critically important antimicrobials. The results from this study show that prophylaxis and respiratory disease are the main drivers of AMU on Irish pig farms. These findings highlight areas of farm management where interventions may aid in reducing AMU on Irish pig farms. Abstract The threat to public health posed by antimicrobial resistance in livestock production means that the pig sector is a particular focus for efforts to reduce antimicrobial use (AMU). This study sought to investigate the risk factors for AMU in Irish pig production. Antimicrobial use data were collected from 52 farrow-to-finish farms. The risk factors investigated were farm characteristics and performance, biosecurity practices, prevalence of pluck lesions at slaughter and serological status for four common respiratory pathogens and vaccination and prophylactic AMU practices. Linear regression models were used for quantitative AMU analysis and risk factors for specific AMU practices were investigated using logistic regression. Farms that milled their own feed had lower total AMU (p < 0.001), whereas higher finisher mortality (p = 0.043) and vaccinating for swine influenza (p < 0.001) increased AMU. Farms with higher prevalence of pericarditis (p = 0.037) and lung abscesses (p = 0.046) used more group treatments. Farms with higher prevalence of liver milk spot lesions (p = 0.018) and farms practising prophylactic AMU in piglets (p = 0.03) had higher numbers of individual treatments. Farms practising prophylactic AMU in piglets (p = 0.002) or sows (p = 0.062) had higher use of cephalosporins and fluoroquinolones. This study identified prophylactic use and respiratory disease as the main drivers for AMU in Irish pig production. These findings highlight areas of farm management where interventions may aid in reducing AMU on Irish pig farms.
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Prządka P, Liszka B, Antończyk A, Skrzypczak P, Kiełbowicz Z, Patkowski D. Laparoscopic-assisted percutaneous herniorrhaphy as an alternative to open surgery technique in farm swines. PLoS One 2021; 16:e0256890. [PMID: 34479235 PMCID: PMC8416236 DOI: 10.1371/journal.pone.0256890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 08/17/2021] [Indexed: 12/04/2022] Open
Abstract
Background Despite numerous experimental studies presenting laparoscopic treatment of inguinal hernia in a pig model so far no described technique has been used in clinical patients of this species. Minimal invasiveness and the simplicity of closure of the inguinal canal using the Percutaneous Internal Ring Suturing (PIRS) technique makes it the world’s first technique for laparoscopic treatment of inguinal hernia in pigs as clinical patients. Aim This study aims to assess the applicability and effectiveness of the laparoscopic PIRS technique in the treatment of inguinal hernia in pigs as clinical patients and to compare the PIRS technique with the open surgery technique, which is currently being used. Methods The study was conducted on 22 non-castrated male pigs with inguinal hernia (clinical patients), divided into two equal groups: PIRS and open surgery (OS). In the PIRS group, the inner inguinal ring was closed with an optical trocar inserted at the umbilicus level and an injection needle with a suture material inserted percutaneously over the inguinal canal. The suture material was threaded through the inner inguinal ring and then tied, leaving the knot under the skin. As a result to this the inguinal canal was closed. In the OS group the procedure was performed with open access above the inguinal canal where, after dissection of the vaginal processus and reducing the contents of the hernia to the abdominal cavity, it was ligated as close to the inguinal canal as possible, and the wound was then closed in layers. Results All operated pigs returned to full fitness immediately after recovery from anesthesia. There was one case of hernia recurrence in the PIRS group. In the OS group all the operated pigs had a temporary swelling of the postoperative wound and the scrotum on the side of the operated inguinal hernia, which was not found in the PIRS group. Conclusions The effectiveness of the PIRS technique is comparable to that of open surgery. Considering the simplicity of the PIRS procedure and its minimal invasiveness, this technique may be used as an alternative to the open technique in the treatment of inguinal hernias in pigs not subjected to surgical castration.
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Affiliation(s)
- Przemysław Prządka
- Department and Clinic of Surgery, Faculty of Veterinary Medicine, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
- * E-mail: ,
| | - Bartłomiej Liszka
- Department and Clinic of Surgery, Faculty of Veterinary Medicine, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
| | - Agnieszka Antończyk
- Department and Clinic of Surgery, Faculty of Veterinary Medicine, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
| | - Piotr Skrzypczak
- Department and Clinic of Surgery, Faculty of Veterinary Medicine, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
| | - Zdzisław Kiełbowicz
- Department and Clinic of Surgery, Faculty of Veterinary Medicine, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
| | - Dariusz Patkowski
- Department of Paediatric Surgery and Urology, Medical University of Wroclaw, Wroclaw, Poland
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20
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Leite NG, Knol EF, Garcia ALS, Lopes MS, Zak L, Tsuruta S, Silva FFE, Lourenco D. Investigating pig survival in different production phases using genomic models. J Anim Sci 2021; 99:skab217. [PMID: 34282454 PMCID: PMC8404463 DOI: 10.1093/jas/skab217] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/18/2021] [Indexed: 11/12/2022] Open
Abstract
Pig survival is an economically important trait with relevant social welfare implications, thus standing out as an important selection criterion for the current pig farming system. We aimed to estimate (co)variance components for survival in different production phases in a crossbred pig population as well as to investigate the benefit of including genomic information through single-step genomic best linear unbiased prediction (ssGBLUP) on the prediction accuracy of survival traits compared with results from traditional BLUP. Individual survival records on, at most, 64,894 crossbred piglets were evaluated under two multi-trait threshold models. The first model included farrowing, lactation, and combined postweaning survival, whereas the second model included nursery and finishing survival. Direct and maternal breeding values were estimated using BLUP and ssGBLUP methods. Furthermore, prediction accuracy, bias, and dispersion were accessed using the linear regression validation method. Direct heritability estimates for survival in all studied phases were low (from 0.02 to 0.08). Survival in preweaning phases (farrowing and lactation) was controlled by the dam and piglet additive genetic effects, although the maternal side was more important. Postweaning phases (nursery, finishing, and the combination of both) showed the same or higher direct heritabilities compared with preweaning phases. The genetic correlations between survival traits within preweaning and postweaning phases were favorable and strong, but correlations between preweaning and postweaning phases were moderate. The prediction accuracy of survival traits was low, although it increased by including genomic information through ssGBLUP compared with the prediction accuracy from BLUP. Direct and maternal breeding values were similarly accurate with BLUP, but direct breeding values benefited more from genomic information. Overall, a slight increase in bias was observed when genomic information was included, whereas dispersion of breeding values was greatly reduced. Combined postweaning survival presented higher direct heritability than in the preweaning phases and the highest prediction accuracy among all evaluated production phases, therefore standing out as a candidate trait for improving survival. Survival is a complex trait with low heritability; however, important genetic gains can still be obtained, especially under a genomic prediction framework.
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Affiliation(s)
- Natália Galoro Leite
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA
| | - Egbert Frank Knol
- Topigs Norsvin Research Center, Beuningen, GE 6641 SZ, The Netherlands
| | | | | | - Louisa Zak
- Topigs Norsvin Research Center, Beuningen, GE 6641 SZ, The Netherlands
| | - Shogo Tsuruta
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA
| | | | - Daniela Lourenco
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA
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Using Nutritional Strategies to Shape the Gastro-Intestinal Tracts of Suckling and Weaned Piglets. Animals (Basel) 2021; 11:ani11020402. [PMID: 33562533 PMCID: PMC7914898 DOI: 10.3390/ani11020402] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 01/10/2023] Open
Abstract
This is a comprehensive review on the use of nutritional strategies to shape the functioning of the gastro-intestinal tract in suckling and weaned piglets. The progressive development of a piglet's gut and the associated microbiota and immune system offers a unique window of opportunity for supporting gut health through dietary modulation. This is particularly relevant for large litters, for which sow colostrum and milk are insufficient. The authors have therefore proposed the use of supplemental milk and creep feed with a dual purpose. In addition to providing nutrients to piglets, supplemental milk can also serve as a gut modulator in early life by incorporating functional ingredients with potential long-term benefits. To prepare piglets for weaning, it is important to stimulate the intake of solid feed before weaning, in addition to stimulating the number of piglets eating. The use of functional ingredients in creep feed and a transition diet around the time of weaning helps to habituate piglets to solid feed in general, while also preparing the gut for the digestion and fermentation of specific ingredients. In the first days after weaning (i.e., the acute phase), it is important to maintain high levels of feed intake and focus on nutritional strategies that support good gastric (barrier) function and that avoid overloading the impaired digestion and fermentation capacity of the piglets. In the subsequent maturation phase, the ratio of lysine to energy can be increased gradually in order to stimulate piglet growth. This is because the digestive and fermentation capacity of the piglets is more mature at this stage, thus allowing the inclusion of more fermentable fibres. Taken together, the nutritional strategies addressed in this review provide a structured approach to preparing piglets for success during weaning and the period that follows. The implementation of this approach and the insights to be developed through future research can help to achieve some of the most important goals in pig production: reducing piglet mortality, morbidity and antimicrobial use.
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Gebhardt JT, Tokach MD, Dritz SS, DeRouchey JM, Woodworth JC, Goodband RD, Henry SC. Postweaning mortality in commercial swine production II: review of infectious contributing factors. Transl Anim Sci 2020; 4:txaa052. [PMID: 32705048 PMCID: PMC7277696 DOI: 10.1093/tas/txaa052] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 04/27/2020] [Indexed: 11/14/2022] Open
Abstract
Postweaning mortality is extremely complex with a multitude of noninfectious and infectious contributing factors. In the current review, our objective is to describe the current state of knowledge regarding infectious causes of postweaning mortality, focusing on estimates of frequency and magnitude of effect where available. While infectious mortality is often categorized by physiologic body system affected, we believe the complex multifactorial nature is better understood by an alternative stratification dependent on intervention type. This category method subjectively combines disease pathogenesis knowledge, epidemiology, and economic consequences. These intervention categories included depopulation of affected cohorts of animals, elimination protocols using knowledge of immunity and epidemiology, or less aggressive interventions. The most aggressive approach to control infectious etiologies is through herd depopulation and repopulation. Historically, these protocols were successful for Actinobacillus pleuropneumoniae and swine dysentery among others. Additionally, this aggressive measure likely would be used to minimize disease spread if either a foreign animal disease was introduced or pseudorabies virus was reintroduced into domestic swine populations. Elimination practices have been successful for Mycoplasma hyopneumoniae, porcine reproductive and respiratory syndrome virus, coronaviruses, including transmissible gastroenteritis virus, porcine epidemic diarrhea virus, and porcine deltacoronavirus, swine influenza virus, nondysentery Brachyspira spp., and others. Porcine circovirus type 2 can have a significant impact on morbidity and mortality; however, it is often adequately controlled through immunization. Many other infectious etiologies present in swine production have not elicited these aggressive control measures. This may be because less aggressive control measures, such as vaccination, management, and therapeutics, are effective, their impact on mortality or productivity is not great enough to warrant, or there is inadequate understanding to employ control procedures efficaciously and efficiently. Since there are many infectious agents and noninfectious contributors, emphasis should continue to be placed on those infectious agents with the greatest impact to minimize postweaning mortality.
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Affiliation(s)
- Jordan T Gebhardt
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Mike D Tokach
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Steve S Dritz
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS
| | - Joel M DeRouchey
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Jason C Woodworth
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Robert D Goodband
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
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