Literature DB >> 11386747

Monitoring beef cattle productivity as a measure of environmental health.

C Waldner1.   

Abstract

Domestic livestock have occasionally been used as sentinels of environmental health. Historically, these studies focused on measuring blood or tissue levels of a specific environmental contaminant. For many environmental exposures, however, there is no appropriate biomarker for exposure. The objective of this study was to examine productivity and health information from domestic livestock as one indicator of the potential long-term environmental impact of natural gas developments in a rural area. Intensive biological accounting methods were developed to measure the health and productivity of cow-calf herds surrounding a new sour natural gas processing plant. From the fall of 1991 through calving 1997, cow production records from 7040 recorded bull contacts were examined from seven area cow-calf herds. Detailed information was also collected on other risk factors known to influence beef herd productivity. The median risks for nonpregnancy, abortion, calving late, stillbirth, and calf mortality for local herds did not differ from those of other published reports. There was no significant change in the risk of nonpregnancy, abortion, calving late, stillbirth, or calf mortality. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11386747     DOI: 10.1006/enrs.2001.4239

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  2 in total

1.  Gross postmortem and histologic examination findings from abortion losses and calf mortalities in western Canadian beef herds.

Authors:  Cheryl L Waldner; Richard I Kennedy; Leigh B Rosengren; Colleen M Pollock; Edward Ted G Clark
Journal:  Can Vet J       Date:  2010-11       Impact factor: 1.008

2.  A cross-classified and multiple membership Cox model applied to calf mortality data.

Authors:  Adel Elghafghuf; Henrik Stryhn; Cheryl Waldner
Journal:  Prev Vet Med       Date:  2014-03-21       Impact factor: 2.670

  2 in total

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