Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk
ABSTRACT: In this study, we investigated the variation in the microbial community present in bulk tank milk samples and the potential effect of different farm management factors. Bulk tank milk samples were collected repeatedly over one year from 42 farms located in northern Sweden. Total and thermo...
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ftdoajarticles:oai:doaj.org/article:4761a54ebf694dcfac74c364f0423336 2023-05-15T17:45:12+02:00 Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk Li Sun Åse Lundh Annika Höjer Gun Bernes David Nilsson Monika Johansson Mårten Hetta Anders H. Gustafsson Karin Hallin Saedén Johan Dicksved 2022-01-01T00:00:00Z https://doi.org/10.3168/jds.2021-20661 https://doaj.org/article/4761a54ebf694dcfac74c364f0423336 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S0022030221009693 https://doaj.org/toc/0022-0302 0022-0302 doi:10.3168/jds.2021-20661 https://doaj.org/article/4761a54ebf694dcfac74c364f0423336 Journal of Dairy Science, Vol 105, Iss 1, Pp 123-139 (2022) milking system premilking routines bulk tank milk microbiota microbial community composition Dairy processing. Dairy products SF250.5-275 Dairying SF221-250 article 2022 ftdoajarticles https://doi.org/10.3168/jds.2021-20661 2022-12-30T21:43:45Z ABSTRACT: In this study, we investigated the variation in the microbial community present in bulk tank milk samples and the potential effect of different farm management factors. Bulk tank milk samples were collected repeatedly over one year from 42 farms located in northern Sweden. Total and thermoresistant bacteria counts and 16S rRNA gene-based amplicon sequencing were used to characterize microbial community composition. The microbial community was in general heterogeneous both within and between different farms and the community composition in the bulk tank milk was commonly dominated by Pseudomonas, Acinetobacter, Streptococcus, unclassified Peptostreptococcaceae, and Staphylococcus. Principal component analysis including farm factor variables and microbial taxa data revealed that the microbial community in milk was affected by type of milking system. Milk from farms using an automatic (robot) milking system (AMS) and loose housing showed different microbial community composition compared with milk from tiestall farms. A discriminant analysis model revealed that this difference was dependent on several microbial taxa. Among farms using an automatic milking system, there were further differences in the microbial community composition depending on the brand of the milking robot used. On tiestall farms, routines for teat preparation and cleaning of the milking equipment affected the microbial community composition in milk. Total bacteria count (TBC) in milk differed between the farm types, and TBC were higher on AMS than tiestall farms (log 4.05 vs. log 3.79 TBC/mL for AMS and tiestalls, respectively). Among tiestall farms, milk from farms using a chemical agent in connection to teat preparation and a more frequent use of acid to clean the milking equipment had lower TBC in milk, than milk from farms using water for teat preparation and a less frequent use of acid to clean the milking equipment (log 3.68 vs. 4.02 TBC/mL). There were no significant differences in the number of thermoresistant bacteria between ... Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles Journal of Dairy Science 105 1 123 139 |
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language |
English |
topic |
milking system premilking routines bulk tank milk microbiota microbial community composition Dairy processing. Dairy products SF250.5-275 Dairying SF221-250 |
spellingShingle |
milking system premilking routines bulk tank milk microbiota microbial community composition Dairy processing. Dairy products SF250.5-275 Dairying SF221-250 Li Sun Åse Lundh Annika Höjer Gun Bernes David Nilsson Monika Johansson Mårten Hetta Anders H. Gustafsson Karin Hallin Saedén Johan Dicksved Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
topic_facet |
milking system premilking routines bulk tank milk microbiota microbial community composition Dairy processing. Dairy products SF250.5-275 Dairying SF221-250 |
description |
ABSTRACT: In this study, we investigated the variation in the microbial community present in bulk tank milk samples and the potential effect of different farm management factors. Bulk tank milk samples were collected repeatedly over one year from 42 farms located in northern Sweden. Total and thermoresistant bacteria counts and 16S rRNA gene-based amplicon sequencing were used to characterize microbial community composition. The microbial community was in general heterogeneous both within and between different farms and the community composition in the bulk tank milk was commonly dominated by Pseudomonas, Acinetobacter, Streptococcus, unclassified Peptostreptococcaceae, and Staphylococcus. Principal component analysis including farm factor variables and microbial taxa data revealed that the microbial community in milk was affected by type of milking system. Milk from farms using an automatic (robot) milking system (AMS) and loose housing showed different microbial community composition compared with milk from tiestall farms. A discriminant analysis model revealed that this difference was dependent on several microbial taxa. Among farms using an automatic milking system, there were further differences in the microbial community composition depending on the brand of the milking robot used. On tiestall farms, routines for teat preparation and cleaning of the milking equipment affected the microbial community composition in milk. Total bacteria count (TBC) in milk differed between the farm types, and TBC were higher on AMS than tiestall farms (log 4.05 vs. log 3.79 TBC/mL for AMS and tiestalls, respectively). Among tiestall farms, milk from farms using a chemical agent in connection to teat preparation and a more frequent use of acid to clean the milking equipment had lower TBC in milk, than milk from farms using water for teat preparation and a less frequent use of acid to clean the milking equipment (log 3.68 vs. 4.02 TBC/mL). There were no significant differences in the number of thermoresistant bacteria between ... |
format |
Article in Journal/Newspaper |
author |
Li Sun Åse Lundh Annika Höjer Gun Bernes David Nilsson Monika Johansson Mårten Hetta Anders H. Gustafsson Karin Hallin Saedén Johan Dicksved |
author_facet |
Li Sun Åse Lundh Annika Höjer Gun Bernes David Nilsson Monika Johansson Mårten Hetta Anders H. Gustafsson Karin Hallin Saedén Johan Dicksved |
author_sort |
Li Sun |
title |
Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
title_short |
Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
title_full |
Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
title_fullStr |
Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
title_full_unstemmed |
Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
title_sort |
milking system and premilking routines have a strong effect on the microbial community in bulk tank milk |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://doi.org/10.3168/jds.2021-20661 https://doaj.org/article/4761a54ebf694dcfac74c364f0423336 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
Journal of Dairy Science, Vol 105, Iss 1, Pp 123-139 (2022) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0022030221009693 https://doaj.org/toc/0022-0302 0022-0302 doi:10.3168/jds.2021-20661 https://doaj.org/article/4761a54ebf694dcfac74c364f0423336 |
op_doi |
https://doi.org/10.3168/jds.2021-20661 |
container_title |
Journal of Dairy Science |
container_volume |
105 |
container_issue |
1 |
container_start_page |
123 |
op_container_end_page |
139 |
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1766148027850948608 |