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Managing variability in decision making in swine growing-finishing units

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, informatio...

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Autores principales: Agostini, Piero da Silva, Manzanilla, Edgar Garcia, de Blas, Carlos, Fahey, Alan G., da Silva, Caio Abercio, Gasa, Josep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553928/
https://www.ncbi.nlm.nih.gov/pubmed/26328057
http://dx.doi.org/10.1186/s13620-015-0048-z
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author Agostini, Piero da Silva
Manzanilla, Edgar Garcia
de Blas, Carlos
Fahey, Alan G.
da Silva, Caio Abercio
Gasa, Josep
author_facet Agostini, Piero da Silva
Manzanilla, Edgar Garcia
de Blas, Carlos
Fahey, Alan G.
da Silva, Caio Abercio
Gasa, Josep
author_sort Agostini, Piero da Silva
collection PubMed
description 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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spelling pubmed-45539282015-09-01 Managing variability in decision making in swine growing-finishing units Agostini, Piero da Silva Manzanilla, Edgar Garcia de Blas, Carlos Fahey, Alan G. da Silva, Caio Abercio Gasa, Josep Ir Vet J Research 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. BioMed Central 2015-09-01 /pmc/articles/PMC4553928/ /pubmed/26328057 http://dx.doi.org/10.1186/s13620-015-0048-z Text en © Agostini et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Agostini, Piero da Silva
Manzanilla, Edgar Garcia
de Blas, Carlos
Fahey, Alan G.
da Silva, Caio Abercio
Gasa, Josep
Managing variability in decision making in swine growing-finishing units
title Managing variability in decision making in swine growing-finishing units
title_full Managing variability in decision making in swine growing-finishing units
title_fullStr Managing variability in decision making in swine growing-finishing units
title_full_unstemmed Managing variability in decision making in swine growing-finishing units
title_short Managing variability in decision making in swine growing-finishing units
title_sort managing variability in decision making in swine growing-finishing units
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553928/
https://www.ncbi.nlm.nih.gov/pubmed/26328057
http://dx.doi.org/10.1186/s13620-015-0048-z
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