Literature DB >> 17276674

A review of composting as a management alternative for beef cattle feedlot manure in southern Alberta, Canada.

Francis J Larney1, Xiying Hao.   

Abstract

Composting is gaining increased acceptance as a management alternative for the large volumes of manure produced by southern Alberta's beef cattle feedlots. Research on windrow composting of feedlot manure was initiated at the Lethbridge Research Centre of Agriculture and Agri-Food Canada in 1996. Early studies looked at physical and chemical changes during composting. Studies have also been conducted on greenhouse gas emissions during composting and the effect of composting on reduction of pathogens, parasites and weed seed viability. The quality of commercially-produced composts at southern Alberta feedlots has been examined as has the mineralization rates of soil-applied composts. This paper reviews results from our feedlot manure composting research program.

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Year:  2007        PMID: 17276674     DOI: 10.1016/j.biortech.2006.07.005

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  13 in total

1.  Inoculation of cattle manure with microbial agents increases efficiency and promotes maturity in composting.

Authors:  Jingbo Li; Xitao Wang; Cong Cong; Leibing Wan; Yongping Xu; Xiaoyu Li; Fuqin Hou; Yanyan Wu; Lili Wang
Journal:  3 Biotech       Date:  2020-02-21       Impact factor: 2.406

2.  The association between farming activities, precipitation, and the risk of acute gastrointestinal illness in rural municipalities of Quebec, Canada: a cross-sectional study.

Authors:  Yossi Febriani; Patrick Levallois; Suzanne Gingras; Pierre Gosselin; Shannon E Majowicz; Manon D Fleury
Journal:  BMC Public Health       Date:  2010-01-30       Impact factor: 3.295

3.  Stockpiling versus Composting: Effectiveness in Reducing Antibiotic-Resistant Bacteria and Resistance Genes in Beef Cattle Manure.

Authors:  Zachery R Staley; Bryan L Woodbury; Bobbi S Stromer; Amy M Schmidt; Daniel D Snow; Shannon L Bartelt-Hunt; Bing Wang; Xu Li
Journal:  Appl Environ Microbiol       Date:  2021-07-27       Impact factor: 4.792

4.  Antibiotic resistance, antimicrobial residues, and bacterial community diversity in pasture-raised poultry, swine, and beef cattle manures.

Authors:  Michael James Rothrock; Byeng Ryel Min; Lana Castleberry; Heidi Waldrip; David Parker; David Brauer; Dipti Pitta; Nagaraju Indugu
Journal:  J Anim Sci       Date:  2021-08-01       Impact factor: 3.159

5.  Fate and Survival of Campylobacter coli in Swine Manure at Various Temperatures.

Authors:  Xuan Thanh Bui; Anders Wolff; Mogen Madsen; Dang Duong Bang
Journal:  Front Microbiol       Date:  2011-12-26       Impact factor: 5.640

6.  Variation in Weed Seed Fate Fed to Different Holstein Cattle Groups.

Authors:  Salman Rahimi; Hamid Rahimian Mashhadi; Mehdi Dehghan Banadaky; Mohsen Beheshtian Mesgaran
Journal:  PLoS One       Date:  2016-04-22       Impact factor: 3.240

7.  Summary of performance data for technologies to control gaseous, odor, and particulate emissions from livestock operations: Air management practices assessment tool (AMPAT).

Authors:  Devin L Maurer; Jacek A Koziel; Jay D Harmon; Steven J Hoff; Angela M Rieck-Hinz; Daniel S Andersen
Journal:  Data Brief       Date:  2016-04-12

8.  Effect of Co-Composting Cattle Manure with Construction and Demolition Waste on the Archaeal, Bacterial, and Fungal Microbiota, and on Antimicrobial Resistance Determinants.

Authors:  Devin B Holman; Xiying Hao; Edward Topp; Hee Eun Yang; Trevor W Alexander
Journal:  PLoS One       Date:  2016-06-14       Impact factor: 3.240

9.  Linking N2O emission from biochar-amended composting process to the abundance of denitrify (nirK and nosZ) bacteria community.

Authors:  Shuqing Li; Lina Song; Yaguo Jin; Shuwei Liu; Qirong Shen; Jianwen Zou
Journal:  AMB Express       Date:  2016-05-20       Impact factor: 3.298

10.  Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling.

Authors:  Julie Faverial; Denis Cornet; Jacky Paul; Jorge Sierra
Journal:  PLoS One       Date:  2016-06-17       Impact factor: 3.240

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