The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids

Daily ruminal pH variation can be summarized by a cumulative logistic curve based on the amount of time below multiple pH points and characterized by 2 parameters (β0 and β1). Moreover, rumen pH variation affects the rumen microbiome as well as the biohydrogenation pathways resulting in a modified s...

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Veröffentlicht in:Journal of dairy science 2012-10, Vol.95 (10), p.5845-5865
Hauptverfasser: Colman, E., Tas, B.M., Waegeman, W., De Baets, B., Fievez, V.
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container_issue 10
container_start_page 5845
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creator Colman, E.
Tas, B.M.
Waegeman, W.
De Baets, B.
Fievez, V.
description Daily ruminal pH variation can be summarized by a cumulative logistic curve based on the amount of time below multiple pH points and characterized by 2 parameters (β0 and β1). Moreover, rumen pH variation affects the rumen microbiome as well as the biohydrogenation pathways resulting in a modified secretion of milk fatty acids (FA). The aims of this study were to assess the shifts in milk FA due to rumen pH changes and to estimate the relationship between milk FA and the 2 parameters of the logistic curve. The data consisted of milk samples of 2 experiments. In experiment 1, 3 cows were subjected to 5 treatments in which the type and amount of concentrate were changed during 33 d: (1) control diet 1, (2) stepwise replacement of a standard concentrate (CONC) by a CONC rich in rapidly fermentable carbohydrates, (3) increase in the total amount of CONC, (4) treatment with a buffer solution, and (5) control diet 2. A 3×3 Latin square design with 3 cows was used in the second experiment. During the first 14 d of each period, the cows received a control diet with a standard CONC, whereas in the last 7 d the standard CONC was replaced step-by-step by a CONC rich in rapidly fermentable carbohydrates and the amount of CONC was increased. During each period, a different buffer treatment was added to the diet. Milk FA and pH reacted similarly in both experiments: decreasing proportions of iso FA and increasing proportions of odd-chain FA were observed. However, an abrupt change to a 76% CONC diet as for one cow of experiment 1 led to almost a 10-fold increase in C18:1 trans-10 (0.79 vs. 6.75g/100g of FA). In experiment 2, the stepwise approach of adding CONC and the continuous supplementation of buffer led to minimal increases in C18:1 trans-10 and decreases in rumen pH compared with the diet with standard CONC only. Fatty acid proportions were influenced by the level of rumen pH (β1) or the rumen pH variation (β0), or both. High proportions of C18:1 trans-10 (above 4g/100g of FA) occurred with low and largely fluctuating pH (low β1, low β0), whereas situations with low, stable pH (low β1, great β0) did not induce a shift toward the secondary biohydrogenation pathway. C18:1 trans-11 and C18:2 cis-9, trans-11 were only influenced by the pH variation and not by the average pH, whereas iso C14:0 and iso C16:0 FA were only dependent on the average pH and not influenced by diurnal pH variation. Overall, milk FA changes were related to pH changes; however, this relationshi
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Moreover, rumen pH variation affects the rumen microbiome as well as the biohydrogenation pathways resulting in a modified secretion of milk fatty acids (FA). The aims of this study were to assess the shifts in milk FA due to rumen pH changes and to estimate the relationship between milk FA and the 2 parameters of the logistic curve. The data consisted of milk samples of 2 experiments. In experiment 1, 3 cows were subjected to 5 treatments in which the type and amount of concentrate were changed during 33 d: (1) control diet 1, (2) stepwise replacement of a standard concentrate (CONC) by a CONC rich in rapidly fermentable carbohydrates, (3) increase in the total amount of CONC, (4) treatment with a buffer solution, and (5) control diet 2. A 3×3 Latin square design with 3 cows was used in the second experiment. 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High proportions of C18:1 trans-10 (above 4g/100g of FA) occurred with low and largely fluctuating pH (low β1, low β0), whereas situations with low, stable pH (low β1, great β0) did not induce a shift toward the secondary biohydrogenation pathway. C18:1 trans-11 and C18:2 cis-9, trans-11 were only influenced by the pH variation and not by the average pH, whereas iso C14:0 and iso C16:0 FA were only dependent on the average pH and not influenced by diurnal pH variation. 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Psychology ; General aspects ; Handling, storage, packaging, transport ; Hydrogen-Ion Concentration ; Logistic Models ; microbiome ; milk ; Milk - chemistry ; milk fatty acid ; milk secretion ; rumen ; Rumen - chemistry ; Rumen - metabolism ; Rumen - physiology ; rumen pH ; Terrestrial animal productions ; Vertebrates</subject><ispartof>Journal of dairy science, 2012-10, Vol.95 (10), p.5845-5865</ispartof><rights>2012 American Dairy Science Association</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. 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Moreover, rumen pH variation affects the rumen microbiome as well as the biohydrogenation pathways resulting in a modified secretion of milk fatty acids (FA). The aims of this study were to assess the shifts in milk FA due to rumen pH changes and to estimate the relationship between milk FA and the 2 parameters of the logistic curve. The data consisted of milk samples of 2 experiments. In experiment 1, 3 cows were subjected to 5 treatments in which the type and amount of concentrate were changed during 33 d: (1) control diet 1, (2) stepwise replacement of a standard concentrate (CONC) by a CONC rich in rapidly fermentable carbohydrates, (3) increase in the total amount of CONC, (4) treatment with a buffer solution, and (5) control diet 2. A 3×3 Latin square design with 3 cows was used in the second experiment. 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High proportions of C18:1 trans-10 (above 4g/100g of FA) occurred with low and largely fluctuating pH (low β1, low β0), whereas situations with low, stable pH (low β1, great β0) did not induce a shift toward the secondary biohydrogenation pathway. C18:1 trans-11 and C18:2 cis-9, trans-11 were only influenced by the pH variation and not by the average pH, whereas iso C14:0 and iso C16:0 FA were only dependent on the average pH and not influenced by diurnal pH variation. 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Psychology</subject><subject>General aspects</subject><subject>Handling, storage, packaging, transport</subject><subject>Hydrogen-Ion Concentration</subject><subject>Logistic Models</subject><subject>microbiome</subject><subject>milk</subject><subject>Milk - chemistry</subject><subject>milk fatty acid</subject><subject>milk secretion</subject><subject>rumen</subject><subject>Rumen - chemistry</subject><subject>Rumen - metabolism</subject><subject>Rumen - physiology</subject><subject>rumen pH</subject><subject>Terrestrial animal productions</subject><subject>Vertebrates</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10U1v1DAQBmALgehSOHIFX5C4pPgzcY6oKhSpEgfaszWxJ123TrLYTtH-e7zaBU5cPLL8aGb0mpC3nF1I3ppPDz5fCMZ5o7lkz8iGa6EbyXvznGwYE6Jhkokz8irnh3rlgumX5EwIY5RUbEO2t1ukcbkPuQRH3ZqekEKmQMuyxHpQj9mlMCAtFXoIcU_TOoUZIt1d0x2UgmmmMHsaSqYxzI_0VyhbOoX4SMf6vKfggs-vyYsRYsY3p3pO7r5c3V5eNzffv367_HzTuLpQabD3kovBdyMMPYy977jh3vTGA5fKqx4c1xqFVoahEb1oxaCU5743Ujlw8px8PPbdpeXnirnYKWSHMcKMy5otZ71WWnSaVdocqUtLzglHu0thgrSvyB7CtTVcewjXHsKt_t2p9TpM6P_qP2lW8OEEIDuIY4LZhfzPtbLTvFXVvT-6ERYL96maux91jmb1i4xouyq6o8Aa1VPAZLMLODv0IaEr1i_hP0v-Bh86nWw</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Colman, E.</creator><creator>Tas, B.M.</creator><creator>Waegeman, W.</creator><creator>De Baets, B.</creator><creator>Fievez, V.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20121001</creationdate><title>The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids</title><author>Colman, E. ; Tas, B.M. ; Waegeman, W. ; De Baets, B. ; Fievez, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-e9d312bd7fab9af9d7181d898da134d49ac155e25480e829262b44d1d9834cac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>acidosis</topic><topic>Animal productions</topic><topic>Animals</topic><topic>biohydrogenation</topic><topic>Biological and medical sciences</topic><topic>carbohydrates</topic><topic>Cattle - metabolism</topic><topic>Cattle - physiology</topic><topic>cows</topic><topic>diet</topic><topic>Diet - methods</topic><topic>Diet - veterinary</topic><topic>fatty acids</topic><topic>Fatty Acids - analysis</topic><topic>Fatty Acids - metabolism</topic><topic>Female</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Handling, storage, packaging, transport</topic><topic>Hydrogen-Ion Concentration</topic><topic>Logistic Models</topic><topic>microbiome</topic><topic>milk</topic><topic>Milk - chemistry</topic><topic>milk fatty acid</topic><topic>milk secretion</topic><topic>rumen</topic><topic>Rumen - chemistry</topic><topic>Rumen - metabolism</topic><topic>Rumen - physiology</topic><topic>rumen pH</topic><topic>Terrestrial animal productions</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Colman, E.</creatorcontrib><creatorcontrib>Tas, B.M.</creatorcontrib><creatorcontrib>Waegeman, W.</creatorcontrib><creatorcontrib>De Baets, B.</creatorcontrib><creatorcontrib>Fievez, V.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Colman, E.</au><au>Tas, B.M.</au><au>Waegeman, W.</au><au>De Baets, B.</au><au>Fievez, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2012-10-01</date><risdate>2012</risdate><volume>95</volume><issue>10</issue><spage>5845</spage><epage>5865</epage><pages>5845-5865</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>Daily ruminal pH variation can be summarized by a cumulative logistic curve based on the amount of time below multiple pH points and characterized by 2 parameters (β0 and β1). Moreover, rumen pH variation affects the rumen microbiome as well as the biohydrogenation pathways resulting in a modified secretion of milk fatty acids (FA). The aims of this study were to assess the shifts in milk FA due to rumen pH changes and to estimate the relationship between milk FA and the 2 parameters of the logistic curve. The data consisted of milk samples of 2 experiments. In experiment 1, 3 cows were subjected to 5 treatments in which the type and amount of concentrate were changed during 33 d: (1) control diet 1, (2) stepwise replacement of a standard concentrate (CONC) by a CONC rich in rapidly fermentable carbohydrates, (3) increase in the total amount of CONC, (4) treatment with a buffer solution, and (5) control diet 2. A 3×3 Latin square design with 3 cows was used in the second experiment. During the first 14 d of each period, the cows received a control diet with a standard CONC, whereas in the last 7 d the standard CONC was replaced step-by-step by a CONC rich in rapidly fermentable carbohydrates and the amount of CONC was increased. During each period, a different buffer treatment was added to the diet. Milk FA and pH reacted similarly in both experiments: decreasing proportions of iso FA and increasing proportions of odd-chain FA were observed. However, an abrupt change to a 76% CONC diet as for one cow of experiment 1 led to almost a 10-fold increase in C18:1 trans-10 (0.79 vs. 6.75g/100g of FA). In experiment 2, the stepwise approach of adding CONC and the continuous supplementation of buffer led to minimal increases in C18:1 trans-10 and decreases in rumen pH compared with the diet with standard CONC only. Fatty acid proportions were influenced by the level of rumen pH (β1) or the rumen pH variation (β0), or both. 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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Access via ScienceDirect (Elsevier)
subjects acidosis
Animal productions
Animals
biohydrogenation
Biological and medical sciences
carbohydrates
Cattle - metabolism
Cattle - physiology
cows
diet
Diet - methods
Diet - veterinary
fatty acids
Fatty Acids - analysis
Fatty Acids - metabolism
Female
Food industries
Fundamental and applied biological sciences. Psychology
General aspects
Handling, storage, packaging, transport
Hydrogen-Ion Concentration
Logistic Models
microbiome
milk
Milk - chemistry
milk fatty acid
milk secretion
rumen
Rumen - chemistry
Rumen - metabolism
Rumen - physiology
rumen pH
Terrestrial animal productions
Vertebrates
title The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids
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