Background: 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.
Results: 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.
Conclusions: 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.
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http://dx.doi.org/10.1186/s13620-015-0048-z | DOI Listing |
Z Evid Fortbild Qual Gesundhwes
January 2025
Institut für Medizinmanagement und Gesundheitswissenschaften (IMG) der Universität Bayreuth, Bayreuth, Deutschland.
Introduction: Unmet health care needs are seen as a key indicator of equity in access to health care. With younger people, they can lead to poorer health outcomes in adulthood, and in older people they can be associated with an increased risk of mortality. The presence of a disability is considered a risk factor for unmet needs.
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January 2025
Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Suite 425, Toronto, Ontario, M5T 3M6, Canada; Research & Innovation, North York General Hospital, 4001 Leslie Street, Toronto, Ontario, M2K 1E1, Canada.
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Clin Lung Cancer
December 2024
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD.
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Nefrologia (Engl Ed)
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Servicio de Nefrología, Hospital del Mar, Instituto Hospital del Mar de Investigaciones Médicas, RD16/0009/0013 (ISCIII FEDER REDinREN), Barcelona, Spain; Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, Spain.
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View Article and Find Full Text PDFChin J Traumatol
January 2025
Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address:
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