Literature DB >> 31280747

Review: Milking machine settings, teat condition and milking efficiency in dairy cows.

M Odorčić1, M D Rasmussen2, C O Paulrud3, R M Bruckmaier1.   

Abstract

Because of technical limitations, an impact of machine milking on the teat tissue cannot be avoided. The continuance of this impact during and after milking depends on a variety of factors related to the physiological regulation of milk ejection, as well as the different production systems and milking machine settings. Milking machine settings aim to achieve a high milking performance, that is, short machine-on time at a maximum of milk harvest. However, a high milking performance level is often related to an impact on the teat tissue caused by vacuum or liner compression that can lead to pathological dimensions of congestion of the tissue or hyperkeratosis as a long-term effect. Toward the end of milking a decrease of milk flow rate causes a raise of mouthpiece and teat end vacuum levels and hence an increase of the impact on the teat tissue and the risk of tissue damage. The mechanical stress by the milking machine activates a cascade of cellular mechanisms that lead to an excessive keratin growth and thickening of the keratin layer. Consequently, a complete closure of the teat canal is disabled and the risk of bacterial invasion and intramammary infection increases. Another consequence of high vacuum impact is fluid accumulation and congestion in the tissue of teat tip and teat basis because of an obstruction in venous return. The present review paper provides an overview of the available scientific information to describe the interaction between different levels and types of system vacuum, mouthpiece chamber vacuum, teat end (claw) vacuum, liner pressure, and the risk of short-term and long-term impacts on the teat tissue.

Entities:  

Keywords:  H. Sauerwein; R. M. Bruckmaier; dairy cow; hyperkeratosis; milk flow rate; milking performance; teat tissue congestion

Mesh:

Year:  2019        PMID: 31280747     DOI: 10.1017/S1751731119000417

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  5 in total

Review 1.  Bovine mastitis prevention and control in the post-antibiotic era.

Authors:  Amr El-Sayed; Mohamed Kamel
Journal:  Trop Anim Health Prod       Date:  2021-03-31       Impact factor: 1.559

2.  The Potentialities of Machine Learning for Cow-Specific Milking: Automatically Setting Variables in Milking Machines.

Authors:  Jintao Wang; Daniela Lovarelli; Nicola Rota; Mingxia Shen; Mingzhou Lu; Marcella Guarino
Journal:  Animals (Basel)       Date:  2022-06-23       Impact factor: 3.231

3.  Forecasting Milking Efficiency of Dairy Cows Milked in an Automatic Milking System Using the Decision Tree Technique.

Authors:  Joanna Aerts; Magdalena Kolenda; Dariusz Piwczyński; Beata Sitkowska; Hasan Önder
Journal:  Animals (Basel)       Date:  2022-04-16       Impact factor: 2.752

4.  Production and Health Management from Grazing to Confinement Systems of Largest Dairy Bovine Farms in Azores: A Farmers' Perspective.

Authors:  Ivo Medeiros; Aitor Fernandez-Novo; Susana Astiz; João Simões
Journal:  Animals (Basel)       Date:  2021-11-27       Impact factor: 2.752

Review 5.  Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries.

Authors:  Ivo Medeiros; Aitor Fernandez-Novo; Susana Astiz; João Simões
Journal:  Vet Sci       Date:  2022-03-09
  5 in total

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