Calderón Díaz Julia Adriana, Fitzgerald Rose Mary, Shalloo Laurence, Rodrigues da Costa Maria, Niemi Jarkko, Leonard Finola C, Kyriazakis Ilias, García Manzanilla Edgar
Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy, Ireland.
Bio-Explore, Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Ireland.
Front Vet Sci. 2020 Nov 9;7:556674. doi: 10.3389/fvets.2020.556674. eCollection 2020.
This study aimed (1) to quantify the effects of positive status and vaccination practices for porcine reproductive and respiratory syndrome virus (PRRSv), swine influenza virus (SIV) and (MHYO) on the profitability of farrow-to-finish pig farms and (2) to examine the financial impact of vaccination status in PRRSv and SIV positive farms. Data from 56 Irish farrow-to-finish pig farms were used for this study. Production effects associated with herd status for the three pathogens were incorporated into the Teagasc Pig Production Model (TPPM), a bio-economic stochastic simulation model for farrow-to-finish pig farms. In the analysis, farms negative (-) for either PRRSv, SIV or MHYO were assumed as baseline when presenting results for farms positive (+) for each pathogen. While all MHYO(+) farms used vaccination against the pathogen, not all PRRSv(+) or SIV(+) farms vaccinated against the disease. For all scenarios, a 728-sow farrow-to-finish farm with weekly farrowing batches was simulated. Financial risk analysis was conducted by Monte Carlo simulation within the TPPM using the Microsoft Excel add-in @Risk. Mortality rates, feedstuff costs and price per kg of meat produced were included as input stochastic variables and annual net profit was set as stochastic output variable. Positive farms sold fewer pigs and produced less kg of meat than negative farms and had increased feed usage during the weaner and finisher stages. Variable costs increased in positive farms due to increased feed costs, more dead animals for disposal and healthcare costs. Annual mean profit was lower by 24% in vaccinated PRRSv(+), 14.6% in unvaccinated PRRSv(+), 36.7% in vaccinating SIV(+), 12.8% in unvaccinated SIV(+), and 41% in MHYO(+) farms. Negative farms were first order stochastically dominant over positive farms, indicating that for a given level of profit, the financial risk is lower by avoiding respiratory pathogens. Similarly, unvaccinated farms were second order stochastically dominant over vaccinating farms suggesting that farms that do not vaccinate are less affected by the disease. Results from this study provide further evidence to encourage farmers to undertake improved disease control measures and/or to implement eradication programs.
(1)量化猪繁殖与呼吸综合征病毒(PRRSv)、猪流感病毒(SIV)及猪支原体肺炎(MHYO)的阳性状态和疫苗接种措施对全进全出式养猪场盈利能力的影响;(2)考察PRRSv和SIV阳性猪场中疫苗接种状态的财务影响。本研究使用了来自56个爱尔兰全进全出式养猪场的数据。与这三种病原体的猪群状态相关的生产效应被纳入Teagasc猪生产模型(TPPM),这是一个用于全进全出式养猪场的生物经济随机模拟模型。在分析中,在给出每种病原体阳性(+)猪场的结果时,将PRRSv、SIV或MHYO呈阴性(-)的猪场作为基线。虽然所有MHYO(+)猪场都对该病原体进行了疫苗接种,但并非所有PRRSv(+)或SIV(+)猪场都对该病进行了疫苗接种。对于所有情景,模拟了一个每周产仔批次为728头母猪的全进全出式猪场。使用微软Excel插件@Risk在TPPM内通过蒙特卡罗模拟进行财务风险分析。死亡率、饲料成本和每千克猪肉价格被作为输入随机变量,年净利润被设定为随机输出变量。阳性猪场出栏的猪比阴性猪场少,生产的猪肉千克数也更少,并且在断奶仔猪和育肥阶段饲料用量增加。由于饲料成本增加、需要处理的死亡动物增多以及医疗成本增加,阳性猪场的可变成本上升。接种疫苗的PRRSv(+)猪场年平均利润降低24%,未接种疫苗的PRRSv(+)猪场降低14.6%,接种疫苗的SIV(+)猪场降低36.7%,未接种疫苗的SIV(+)猪场降低12.8%,MHYO(+)猪场降低41%。阴性猪场在一阶随机占优于阳性猪场,这表明对于给定的利润水平,通过避免呼吸道病原体可降低财务风险。同样,未接种疫苗的猪场在二阶随机占优于接种疫苗的猪场,这表明未接种疫苗的猪场受疾病影响较小。本研究结果提供了进一步的证据,鼓励养殖户采取更好的疾病控制措施和/或实施根除计划。