Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 1. Study justification and design

Banhazi, T. M. and Seedorf, J. and Rutley, D. L. and Pitchford, W. S. (2008) Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 1. Study justification and design. Journal of Agricultural Safety and Health, 14 (1). pp. 5-20. ISSN 1074-7583

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Abstract

[Abstract]: We undertook a literature search related to pig production facilities with two major aims: first, to review all the likely benefits that might be gained from air quality improvements; and second, to review previous research that had identified statistically significant factors affecting airborne pollutants and environmental parameters, so that these factors could be considered in a multifactorial analysis aimed at explaining variations in air pollutant concentrations. Ammonia, carbon dioxide, viable bacteria, endotoxins, and inhalable and respirable particles were identified as major airborne pollutants in the review. We found that high concentrations of airborne pollutants in livestock buildings could increase occupational health and safety risks, compromise the health, welfare, and production efficiency of animals, and affect the environment. Therefore, improving air quality could reduce environmental damage and improve animal and worker health. To achieve a reduction in pollutant concentrations, a better understanding of the factors influencing airborne pollutant concentrations in piggery buildings is required. Most of the work done previously has used simple correlation matrices to identify relationships between key factors and pollutant concentrations, without taking into consideration multifactorial effects simultaneously in a model. However, our review of this prior knowledge was the first important step toward developing a more inclusive statistical model. This review identified a number of candidate risk factors, which we then took into consideration during the development of multifactorial statistical models. We used a general linear model (GLM) to model measured internal concentrations, emissions, and environmental parameters in order to predict and potentially control the building environment.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher (ASABE). Copyright 2008 ASABE ISSN 1074-7583.
Depositing User: epEditor USQ
Faculty / Department / School: Current - USQ Other
Date Deposited: 05 Jun 2011 07:37
Last Modified: 03 Jul 2013 00:37
Uncontrolled Keywords: airbone pollutants; environmental survey; farm building; risk factors; statistical models
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070203 Animal Management
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070107 Farming Systems Research
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Socio-Economic Objective (SEO2008): B Economic Development > 83 Animal Production and Animal Primary Products > 8303 Livestock Raising > 830308 Pigs
URI: http://eprints.usq.edu.au/id/eprint/18898

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