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 (β(0) and β(1)). 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. 6.75 g/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 (β(1)) or the rumen pH variation (β(0)), or both. High proportions of C18:1 trans-10 (above 4 g/100g of FA) occurred with low and largely fluctuating pH (low β(1), low β(0)), whereas situations with low, stable pH (low β(1), great β(0)) 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 relationship is not straightforward and needs further research.