Agostini Piero da Silva, Manzanilla Edgar Garcia, de Blas Carlos, Fahey Alan G, da Silva Caio Abercio, Gasa Josep
Grup de Nutrició, Maneig i Benestar Animal, Department de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, 08193 Spain.
Pig Development Department, Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland.
Ir Vet J. 2015 Sep 1;68(1):20. doi: 10.1186/s13620-015-0048-z. eCollection 2015.
Analysis of data collected from pig farms may be useful to understand factors affecting pig health and productive performance. However, obtaining these data and drawing conclusions from them can be done at different levels and presents several challenges. In the present study, information from 688 batches of growing-finishing (GF) pigs (average initial and final body weight of 19.1 and 108.5 kg respectively) from 404 GF farms integrated in 7 companies was obtained between July 2008 and July 2010 in Spain by survey. Management and facility factors associated with feed conversion ratio (FCR) and mortality were studied by multiple linear regression analysis in each single company (A to G) and in an overall database (OD). Factors studied were geographic location of the farm, trimester the pigs entered the farm, breed of sire and sex segregation in pens (BREGENSEG), use of circovirus vaccine, number of origins the pigs were obtained from, age of the farm, percentage of slatted floor, type of feeder, drinker and ventilation, number of phases and form of feed, antibiotic administration system, water source, and number and initial weight of pigs.
In two or more companies studied and/or in OD, the trimester when pigs were placed in the farm, BREGENSEG, number of origins of the pigs, age of the farm and initial body weight were factors associated with FCR. Regarding mortality, trimester of placement, number of origins of the pigs, water source in the farm, number of pigs placed and the initial body weight were relevant factors. Age of the farm, antibiotic administration system, and water source were only provided by some of the studied companies and were not included in the OD model, however, when analyzed in particular companies these three variables had an important effect and may be variables of interest in companies that do not record them.
Analysing data collected from farms at different levels helps better understand factors associated with productive performance of pig herds. Out of the studied factors trimester of placement and number of origins of the pigs were the most relevant factors associated with FCR and mortality.
分析从猪场收集的数据可能有助于了解影响猪健康和生产性能的因素。然而,获取这些数据并从中得出结论可以在不同层面进行,且存在若干挑战。在本研究中,2008年7月至2010年7月期间,通过调查从西班牙7家公司整合的404个生长育肥猪场获取了688批生长育肥猪(平均初始体重和最终体重分别为19.1千克和108.5千克)的信息。通过多元线性回归分析,在每个单独的公司(A至G)和一个总体数据库(OD)中研究了与饲料转化率(FCR)和死亡率相关的管理和设施因素。研究的因素包括猪场的地理位置、猪进入猪场的时期、父本品种和栏内性别隔离(BREGENSEG)、圆环病毒疫苗的使用、猪的来源数量、猪场的年龄、漏缝地板的百分比、饲喂器、饮水器和通风的类型、阶段数量和饲料形式、抗生素给药系统、水源以及猪的数量和初始体重。
在两个或更多研究公司和/或OD中,猪进入猪场的时期、BREGENSEG、猪的来源数量、猪场的年龄和初始体重是与FCR相关的因素。关于死亡率,放置时期、猪的来源数量、猪场的水源、放置的猪的数量和初始体重是相关因素。猪场的年龄、抗生素给药系统和水源仅由部分研究公司提供,未纳入OD模型,然而,在特定公司进行分析时,这三个变量具有重要影响,对于未记录这些变量的公司可能是感兴趣的变量。
在不同层面分析从猪场收集的数据有助于更好地理解与猪群生产性能相关的因素。在所研究的因素中,放置时期和猪的来源数量是与FCR和死亡率最相关的因素。