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Associations between Mammary Gland Echotexture and Milk Composition in Cows
SIMPLE SUMMARY: Transcutaneous ultrasonography of the four quarters of the cow’s mammary gland with the 5-MHz ultrasound transducer combined with computer-assisted analysis of the resultant grey-scale images have the makings of an inexpensive and rapid technique to determine certain physicochemical...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692468/ https://www.ncbi.nlm.nih.gov/pubmed/33143307 http://dx.doi.org/10.3390/ani10112005 |
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author | Schwarz, Tomasz Scheeres, Nelia Małopolska, Martyna M. Murawski, Maciej Agustin, Tristan D. Ahmadi, Bahareh Strzałkowska, Nina Rajtar, Patrycja Micek, Piotr Bartlewski, Pawel M. |
author_facet | Schwarz, Tomasz Scheeres, Nelia Małopolska, Martyna M. Murawski, Maciej Agustin, Tristan D. Ahmadi, Bahareh Strzałkowska, Nina Rajtar, Patrycja Micek, Piotr Bartlewski, Pawel M. |
author_sort | Schwarz, Tomasz |
collection | PubMed |
description | SIMPLE SUMMARY: Transcutaneous ultrasonography of the four quarters of the cow’s mammary gland with the 5-MHz ultrasound transducer combined with computer-assisted analysis of the resultant grey-scale images have the makings of an inexpensive and rapid technique to determine certain physicochemical properties of the pooled milk. The latter include crude protein, casein and lactose content. The relative ease and practically unlimited frequency with which this method can be used in farm settings makes it an attractive alternative to laboratory testing of milk samples. More studies are needed to determine the suitability of this approach for detecting changes in milk chemical composition in animals with mastitis. ABSTRACT: Thirty clinically healthy Holstein-Friesian cows underwent twice daily machine milking and ultrasonographic examinations of the udder just prior to and after milking. Digital ultrasonographic images of each udder quarter were subjected to computer-assisted echotextural analyses to obtain mean numerical pixel values (NPVs) and pixel heterogeneity (PSD) of the mammary gland parenchyma. The average milk yield and pH were higher (p < 0.05) in the morning, whereas crude fat, total solids, solids non-fat and citric acid content were higher (p < 0.05) during the evening milking period. Mean NPVs and PSDs of the mammary gland parenchyma were greater (p < 0.05) after than before milking. There were significant correlations among echotextural characteristics of the udder and protein percentage, lactose content and freezing point depression determined in the milk samples collected in the morning and crude protein, casein, lactose and solids non-fat in the evening. Our results can be interpreted to suggest that computerized analysis of the mammary gland ultrasonograms has the makings of a technique for estimating non-fat milk constituents in cows. However, future validating studies are necessary before this method can be employed in commercial settings and research. Moreover, significant inter-quarter differences in udder echogenicity may necessitate further echotextural studies of separate quarters. |
format | Online Article Text |
id | pubmed-7692468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76924682020-11-28 Associations between Mammary Gland Echotexture and Milk Composition in Cows Schwarz, Tomasz Scheeres, Nelia Małopolska, Martyna M. Murawski, Maciej Agustin, Tristan D. Ahmadi, Bahareh Strzałkowska, Nina Rajtar, Patrycja Micek, Piotr Bartlewski, Pawel M. Animals (Basel) Article SIMPLE SUMMARY: Transcutaneous ultrasonography of the four quarters of the cow’s mammary gland with the 5-MHz ultrasound transducer combined with computer-assisted analysis of the resultant grey-scale images have the makings of an inexpensive and rapid technique to determine certain physicochemical properties of the pooled milk. The latter include crude protein, casein and lactose content. The relative ease and practically unlimited frequency with which this method can be used in farm settings makes it an attractive alternative to laboratory testing of milk samples. More studies are needed to determine the suitability of this approach for detecting changes in milk chemical composition in animals with mastitis. ABSTRACT: Thirty clinically healthy Holstein-Friesian cows underwent twice daily machine milking and ultrasonographic examinations of the udder just prior to and after milking. Digital ultrasonographic images of each udder quarter were subjected to computer-assisted echotextural analyses to obtain mean numerical pixel values (NPVs) and pixel heterogeneity (PSD) of the mammary gland parenchyma. The average milk yield and pH were higher (p < 0.05) in the morning, whereas crude fat, total solids, solids non-fat and citric acid content were higher (p < 0.05) during the evening milking period. Mean NPVs and PSDs of the mammary gland parenchyma were greater (p < 0.05) after than before milking. There were significant correlations among echotextural characteristics of the udder and protein percentage, lactose content and freezing point depression determined in the milk samples collected in the morning and crude protein, casein, lactose and solids non-fat in the evening. Our results can be interpreted to suggest that computerized analysis of the mammary gland ultrasonograms has the makings of a technique for estimating non-fat milk constituents in cows. However, future validating studies are necessary before this method can be employed in commercial settings and research. Moreover, significant inter-quarter differences in udder echogenicity may necessitate further echotextural studies of separate quarters. MDPI 2020-10-30 /pmc/articles/PMC7692468/ /pubmed/33143307 http://dx.doi.org/10.3390/ani10112005 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schwarz, Tomasz Scheeres, Nelia Małopolska, Martyna M. Murawski, Maciej Agustin, Tristan D. Ahmadi, Bahareh Strzałkowska, Nina Rajtar, Patrycja Micek, Piotr Bartlewski, Pawel M. Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title | Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title_full | Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title_fullStr | Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title_full_unstemmed | Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title_short | Associations between Mammary Gland Echotexture and Milk Composition in Cows |
title_sort | associations between mammary gland echotexture and milk composition in cows |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692468/ https://www.ncbi.nlm.nih.gov/pubmed/33143307 http://dx.doi.org/10.3390/ani10112005 |
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