Individual Variability in Susceptibility to the Occurrence of Low Rumen pH in Lactating Dairy Cows: What Has Been Done and What Needs to be Done
Subject Areas :
1 - Department of Animal Production Research, Animal Science Research Institute of Iran (ASRI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
Keywords: dairy cows, individual variability, review rumen acidosis,
Abstract :
Individual variability in susceptibility to low rumen pH is one of the currently known aspects of rumen aci-dosis in dairy cows, and its understanding and management may address part of the complications of rumen acidosis. This review aims to summarize the outputs of current findings on individual variability in suscep-tibility to low rumen pH in terms of causes and effects and to provide strategies to manage it in research and commercial production systems. On the basis of the present findings, variability in rumen pH is detected among dairy cows with the same dietary and management conditions, and sometimes, the rumen pH can differ more than that associated with any dietary intervention. Cows with a high risk of low rumen pH are characterized by greater sorting against long particles in their diet; lower body weight, feed intake and milk fat; and longer rumination times. However, the mechanisms of these changes are not strong enough to cover the variation in the rumen pH of animals fed the same diets, and more research is needed to evaluate the mechanisms involved. As the variability in rumen pH can affect the results of other experiments at the level of research infrastructure and production efficiency at the level of commercial farms, a precise evaluation needs to be conducted to determine the key elements both biologically and quantitatively. Such biological and quantitative evaluation opens perspectives for managing this problem at both levels of research infra-structure and commercial farms. Pioneering work has started to address individual variability at the com-mercial level, including grouping strategies, animal selection, and increasing feeding frequency. However, this early evidence is not enough to make comprehensive recommendations, and these concepts need to be studied thoroughly. For research experiments, it is also suggested to measure the rumen pH at the beginning of each experiment to use it as a blocking factor or covariate, but this is also the initial level. In conclusion, individual variability in susceptibility to low rumen pH is a common and determining phenomenon among dairy cows in both experimental and commercial production systems but is not well understood in terms of causes and effects and is rarely known in terms of handling and management.
References:
Allen M.S. (1997). Relationship between fermentation acid production in the rumen and the requirement for physically effective fiber. J. Dairy Sci. 80, 1447-1462.
Aschenbach J., Penner G., Stumpff F. and Gäbel G. (2011). Ruminant nutrition symposium: Role of fermentation acid absorption in the regulation of ruminal pH. J. Anim. Sci. 89, 1092-1107.
Bailey C.B. and Balch C.C. (1961). Saliva secretion and its relation to feeding in cattle: 1. The composition and rate of secretion of parotid saliva in a small steer. Br. J. Nutr. 15, 371-382.
Basarab J., Beauchemin K., Baron V., Ominski K., Guan L., Miller S.P. and Crowley J. (2013). Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production. Animal. 7, 303-315.
Bauman D.E. and Griinari J.M. (2001). Regulation and nutritional manipulation of milk fat: low-fat milk syndrome. Livest. Prod. Sci. 70, 15-29.
Baumont R., Dewhurst R., Kuhla B., Martin C., Munksgaard L., Reynolds C., O'Donovan M. and Esmein B. (2019). SmartCow: Integrating European cattle research infrastructures to improve their phenotyping offer. Proc. Ann. Meet. European Associ. Anim. Prod. 25, 18-25.
Beauchemin K. (2018). Invited review: Current perspectives on eating and rumination activity in dairy cows. J. Dairy Sci. 101, 4762-4784.
Bujang M.A. and Baharum N. (2016). Sample size guideline for correlation analysis. World J. Soc. Sci. Res 3(1), 37-46.
Cabrera V.E., Contreras F., Shaver R.D. and Armentano L. (2012). Grouping strategies for feeding lactating dairy cattle. Po. 13-14 in Proc. 4th Dairy Nutr. Manag. Conf. Dubuque, Iowa, USA.
Cardoso F., Kalscheur K. and Drackley J. (2020). Symposium review: Nutrition strategies for improved health, production, and fertility during the transition period. J. Dairy Sci. 103, 5684-5693.
Carter R.R. and Grovum W.L. (1990). A review of the physiological significance of hypertonic body fluids on feed intake and ruminal function: Salivation, motility and microbes. J. Anim. Sci. 68, 2811-2832.
Cellini M., Hussein H., Elsayed H.K. and Sayed A.S. (2019). The association between metabolic profile indices, clinical parameters, and ultrasound measurement of backfat thickness during the periparturient period of dairy cows. Comp. Clin. Pathol. 28, 711-723.
Charan J. and Kantharia N. (2013). How to calculate sample size in animal studies? J. Pharmacol. Pharmacother. 4, 303-311.
Choudhury P.K., Salem A.Z.M., Jena R., Kumar S., Singh R. and Puniya A.K. (2015). Rumen microbiology: An overview. Pp. 3-16 in Rumen Microbiology. A.K. Puniya, R. Singh and D.N. Kamra, Eds., Springer, New Delhi, India.
Contreras-Govea F., Cabrera V., Armentano L., Shaver R., Crump P., Beede D. and VandeHaar M. (2015). Constraints for nutritional grouping in Wisconsin and Michigan dairy farms. J. Dairy Sci. 98, 1336-1344.
Coon R., Duffield T. and DeVries T. (2019). Risk of subacute ruminal acidosis affects the feed sorting behavior and milk production of early lactation cows. J. Dairy Sci. 102, 652-659.
Coppa M., Villot C., Martin C. and Silberberg M. (2023) On-farm evaluation of multiparametric models to predict subacute ruminal acidosis in dairy cows. Animal. 17, 100826-100835.
DeVries T., Dohme F. and Beauchemin K. (2008). Repeated ruminal acidosis challenges in lactating dairy cows at high and low risk for developing acidosis: Feed sorting. J. Dairy Sci. 91, 3958-3967.
Drury B., Valverde-Rebaza J., Moura M.F. and de Andrade Lopes A. (2017). A survey of the applications of Bayesian networks in agriculture. Eng. Appl. Artif. Intell. 65, 29-42.
Esmaeili M., Khorvash M., Ghorbani G.R., Nasrollahi S.M. and Saebi M. (2016). Variation of TMR particle size and physical characteristics in commercial Iranian Holstein dairies and effects on eating behaviour, chewing activity, and milk production. Livest. Sci. 191, 22-28.
Fischer A., Friggens N., Berry D. and Faverdin P. (2018). Isolating the cow-specific part of residual energy intake in lactating dairy cows using random regressions. Animal. 12, 1396-1404.
Fu Y., He Y., Xiang K., Zhao C., He Z., Qiu M., Hu X. and Zhang N. (2022). The role of rumen microbiota and its metabolites in subacute ruminal acidosis (SARA)-induced inflammatory diseases of ruminants. Microorganisms. 10, 1495-1505.
Gao X. and Oba M. (2014). Relationship of severity of subacute ruminal acidosis to rumen fermentation, chewing activities, sorting behavior, and milk production in lactating dairy cows fed a high-grain diet. J. Dairy Sci. 97, 3006-3016.
Gao X. and Oba M. (2015). Noninvasive indicators to identify lactating dairy cows with a greater risk of subacute rumen acidosis. J. Dairy Sci. 98, 5735-5739.
Gao X. and Oba M. (2016). Characteristics of dairy cows with a greater or lower risk of subacute ruminal acidosis: Volatile fatty acid absorption, rumen digestion, and expression of genes in rumen epithelial cells. J. Dairy Sci. 99, 8733-8745.
Golder H. and Lean I. (2024) Ruminal acidosis and its definition: A critical review. J. Dairy Sci. 107, 10066-10098.
Hartinger T., Castillo-Lopez E., Reisinger N. and Zebeli Q. (2024). Elucidating the factors and consequences of the severity of rumen acidosis in first-lactation Holstein cows during transition and early lactation. J. Anim. Sci. 102, 41-55.
Howard B. (2002). Control of variability. ILAR. J. 43, 194-201.
Hu X., Mu R., Maimaiti T., Gao J., Zhao C., Cao Y., Fu Y. and Zhang N. (2021). The Effect of Rumen Microbiota in The Susceptibility of Subacute Ruminal Acidosis in Dairy Cows. Available at:
https://assets-eu.researchsquare.com/files/rs-250349/v1/aeafdbe3-b03e-4439-8554-5f028e8de278.pdf?c=1631877381.
Huot F., Claveau S., Bunel A., Santschi D., Gervais R. and Paquet É. (2023). Relationship between farm management strategies, reticuloruminal pH variations, and risks of subacute ruminal acidosis. J. Dairy Sci. 106, 2487-2497.
Ingvartsen K. and Andersen J. (2000). Integration of metabolism and intake regulation: a review focusing on periparturient animals. J. Dairy Sci. 83, 1573-1597.
Jiang F.G., Lin X.Y., Yan Z.G., Hu Z.Y., Liu G.M., Sun Y.D., Liu X.W. and Wang Z.H. (2017). Effect of dietary roughage level on chewing activity, ruminal pH, and saliva secretion in lactating Holstein cows. J. Dairy Sci. 100, 2660-2671.
Jing L., Dewanckele L., Vlaeminck B., Van Straalen W., Koopmans A. and Fievez V. (2018). Susceptibility of dairy cows to subacute ruminal acidosis is reflected in milk fatty acid proportions, with C18: 1 trans-10 as primary and C15: 0 and C18: 1 trans-11 as secondary indicators. J. Dairy Sci. 101, 9827-9840.
Kaps M. and Lamberson W.R. (2017). Biostatistics for Animal Science. CABI Publishing, UK.
Khafipour E., Krause D. and Plaizier J. (2009). A grain-based subacute ruminal acidosis challenge causes translocation of lipopolysaccharide and triggers inflammation. J. Dairy Sci. 92, 1060-1070.
Khiaosa-ard R., Pourazad P., Aditya S., Humer E. and Zebeli Q. (2018). Factors related to variation in the susceptibility to subacute ruminal acidosis in early lactating Simmental cows fed the same grain-rich diet. Anim. Feed Sci. Technol. 238, 111-122.
King M., Crossley R. and DeVries T. (2016). Impact of timing of feed delivery on the behavior and productivity of dairy cows. J. Dairy Sci. 99, 1471-1482.
Kitkas G.C., Valergakis G.E., Karatzias H. and Panousis N. (2013). Subacute ruminal acidosis: prevalence and risk factors in Greek dairy herds. Iranian J. Vet. Res. 14, 183-189.
Kleen J.L., Upgang L. and Rehage J. (2013). Prevalence and consequences of subacute ruminal acidosis in German dairy herds. Acta Vet. Scand. 55, 48-57.
Korb K.B. and Nicholson A.E. (2010). Bayesian Artificial Intelligence. CRC press, USA.
Krause D., Nagaraja T., Wright A. and Callaway T. (2013). Board-invited review: Rumen microbiology: leading the way in microbial ecology. J. Anim. Sci. 91, 331-341.
Laporte-Uribe J. (2023). CO2 holdup monitoring, ruminal acidosis might be caused by CO2 poisoning. Available at: https://www.researchsquare.com/article/rs-2586161/v1.
Laporte-Uribe J.A. (2016). The role of dissolved carbon dioxide in both the decline in rumen pH and nutritional diseases in ruminants. Anim. Feed Sci. Technol. 219, 268-279.
Laporte-Uribe J.A. (2019). Rumen CO2 species equilibrium might influence performance and be a factor in the pathogenesis of subacute ruminal acidosis. Transl. Anim. Sci. 3, 1081-1098.
Li S., Khafipour E., Krause D., Kroeker A., Rodriguez-Lecompte J., Gozho G. and Plaizier J. (2012). Effects of subacute ruminal acidosis challenges on fermentation and endotoxins in the rumen and hindgut of dairy cows. J. Dairy Sci. 95, 294-303.
Liu K., Stamler J., Dyer A., McKeever J. and McKeever P. (1978). Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol. J. Chronic Dis. 31, 399-418.
Macmillan K., Gao X. and Oba M. (2017). Increased feeding frequency increased milk fat yield and may reduce the severity of subacute ruminal acidosis in higher-risk cows. J. Dairy Sci. 100, 1045-1054.
Maekawa M., Beauchemin K.A. and Christensen D.A. (2002). effect of concentrate level and feeding management on chewing activities, saliva production, and ruminal pH of lactating dairy cows. J. Dairy Sci. 85, 1165-1175.
Minuti A., Ahmed S., Trevisi E., Piccioli-Cappelli F., Bertoni G., Jahan N. and Bani P. (2014). Experimental acute rumen acidosis in sheep: consequences on clinical, rumen, and gastrointestinal permeability conditions and blood chemistry. J. Anim. Sci. 92, 3966-3977.
Mohammed R., Stevenson D., Weimer P., Penner G. and Beauchemin K. (2012). Individual animal variability in ruminal bacterial communities and ruminal acidosis in primiparous Holstein cows during the periparturient period. J. Dairy Sci. 95, 6716-6730.
Mösenfechtel S., Hoedemaker M., Eigenmann U. and Rüsch P. (2002). Influence of back fat thickness on the reproductive performance of dairy cows. Vet. Rec. 151, 387-388.
Nasrollahi S. (2017). The new fundamentals for sub acute ruminal acidosis occurrence and their effects on dairy cow health and productivity: Behavioral responses, molecular changes and individual variations. Ph D Thesis. University of Tehran, Tehran, Iran.
Nasrollahi S., Ghorbani G., Khorvash M. and Yang W. (2014). Effects of grain source and marginal change in lucerne hay particle size on feed sorting, eating behaviour, chewing activity, and milk production in mid-lactation Holstein dairy cows. J. Anim. Physiol. Anim. Nutr. 98, 1110-1116.
Nasrollahi S., Zali A., Ghorbani G., Kahyani A. and Beauchemin K. (2019). Blood metabolites, body reserves, and feed efficiency of high-producing dairy cows that varied in ruminal pH when fed a high-concentrate diet. J. Dairy Sci. 102, 672-677.
Nasrollahi S., Zali A., ghorbani G. and shahrbabak M.M. (2016). The daily patterns of the change in chewing behavior, feed intake, rumen pH and milk composition in high producing Holstein dairy cows. J. Rumin. Res. 4, 171-191.
Nasrollahi S., Zali A., Ghorbani G., Shahrbabak M.M. and Abadi M.H.S. (2017). Variability in susceptibility to acidosis among high producing mid-lactation dairy cows is associated with rumen pH, fermentation, feed intake, sorting activity, and milk fat percentage. Anim. Feed Sci. Technol. 228, 72-82.
Nasrollahi S.M., Zali A., Ghorbani G.R., Khani M., Maktabi H., Kahyani A. and Guyot H. (2021). The effects of the ratio of pellets of wheat and barley grains to ground corn grain in the diet on sorting and chewing activities of heat stressed dairy cows. Vet. Med. Sci. 7, 1409-1416.
Niu M. and Harvatine K.J. (2018). Short communication: The effects of morning compared with evening feed delivery in lactating dairy cows during the summer. J. Dairy Sci. 101, 396-400.
NRC. (2001). Nutrient Requirements of Dairy Cattle. 7th Ed. National Academy Press, Washington, DC., USA.
Penner G.B., Aschenbach J.R., Gäbel G., Rackwitz R. and Oba M. (2009). Epithelial capacity for apical uptake of short chain fatty acids is a key determinant for intraruminal pH and the susceptibility to subacute ruminal acidosis in sheep. J. Nutr. 139, 1714-1720.
Penner G.B. and Beauchemin K.A. (2010). Variation in the susceptibility to ruminal acidosis: Challenge or opportunity? Pp. 24-31 in Proc. Adv. Dairy Technol., Canadan.
Pinheiro J.C. and Bates D.M. (2000). Linear mixed-effects models: basic concepts and examples. Pp. 112-130 in Mixed-effects models in S and S-Plus. J.C. Pinheiro and D.M. Bates, Eds., Springer, New York.
Pires B.C., Tholon P., Buzanskas M.E., Sbardella A.P., Rosa J.O., da Silva L.O.C., de Almeida Torres R.A., Munari D.P. and de Alencar M.M. (2017). Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle. Anim. Prod. Sci. 57, 415-421.
Plaizier J., Krause D., Gozho G. and McBride B. (2008). Subacute ruminal acidosis in dairy cows: The physiological causes, incidence and consequences. Vet. J. 176, 21-31.
Plaizier J., Mulligan F., Neville E., Guan L., Steele M. and Penner G. (2022). Invited review: Effect of subacute ruminal acidosis on gut health of dairy cows. J. Dairy Sci. 105, 7141-7160.
Plaizier J.C., Danesh Mesgaran M., Derakhshani H., Golder H., Khafipour E., Kleen J.L., Lean I., Loor J., Penner G. and Zebeli Q. (2018). Review: Enhancing gastrointestinal health in dairy cows. Animal. 12, 399-418.
Rojo-Gimeno C., Fievez V. and Wauters E. (2018). The economic value of information provided by milk biomarkers under different scenarios: Case-study of an ex-ante analysis of fat-to-protein ratio and fatty acid profile to detect subacute ruminal acidosis in dairy cows. Livest. Sci. 211, 30-41.
Schlau N., Guan L. and Oba M. (2012). The relationship between rumen acidosis resistance and expression of genes involved in regulation of intracellular pH and butyrate metabolism of ruminal epithelial cells in steers. J. Dairy Sci. 95, 5866-5875.
Schwartzkopf-Genswein K., Beauchemin K., Gibb D., Crews Jr D., Hickman D., Streeter M. and McAllister T. (2003). Effect of bunk management on feeding behavior, ruminal acidosis and performance of feedlot cattle: A review. J. Anim. Sci. 81, 149-158.
Sova A., LeBlanc S., McBride B. and DeVries T. (2013) Associations between herd-level feeding management practices, feed sorting, and milk production in freestall dairy farms. J. Dairy Sci. 96, 4759-4770.
Srivastava R., Singh P., Tiwari S. and Kumar D.M.G. (2021). Sub-acute ruminal acidosis: Understanding the pathophysiology and management with exogenous buffers. J. Entomol. Zool. Stud. 9, 593-599.
Steele M., Dionissopoulos L., AlZahal O., Doelman J. and McBride B. (2012). Rumen epithelial adaptation to ruminal acidosis in lactating cattle involves the coordinated expression of insulin-like growth factor-binding proteins and a cholesterolgenic enzyme. J. Dairy Sci. 95, 318-327.
Stefańska B., Komisarek J. and Nowak W. (2020). Noninvasive indicators associated with subacute ruminal acidosis in dairy cows. Ann. Anim. Sci. 1, 21-31.
Stefańska B., Pruszyńska-Oszmałek E., Szczepankiewicz D., Stajek K., Stefański P., Gehrke M. and Nowak W. (2017). Relationship between pH of ruminal fluid during subacute ruminal acidosis and physiological response of the Polish Holstein-Friesian dairy cows. Pol. J. Vet. Sci 20, 551-558.
Storm A.C., Kristensen N.B., Røjen B.A. and Larsen M. (2013). Technical note: A method for quantification of saliva secretion and salivary flux of metabolites in dairy cows1. J. Anim. Sci. 91, 5769-5774.
Sun Y.Y., Cheng M., Xu M., Song L.W., Gao M. and Hu H.L. (2018) The effects of subacute ruminal acidosis on rumen epithelium barrier function in dairy goats. Small Ruminant. Res 169, 1-7.
Villot C., Meunier B., Bodin J., Martin C. and Silberberg M. (2018). Relative reticulo-rumen pH indicators for subacute ruminal acidosis detection in dairy cows. Animal. 12, 481-490.
von Keyserlingk M.A.G., Barrientos A., Ito K., Galo E. and Weary D.M. (2012). Benchmarking cow comfort on North American freestall dairies: Lameness, leg injuries, lying time, facility design, and management for high-producing Holstein dairy cows. J. Dairy Sci. 95, 7399-7408.
Wetzels S., Mann E., Pourazad P., Qumar M., Pinior B., Metzler-Zebeli B., Wagner M., Schmitz-Esser S. and Zebeli Q. (2017). Epimural bacterial community structure in the rumen of Holstein cows with different responses to a long-term subacute ruminal acidosis diet challenge. J. Dairy Sci. 100, 1829-1844.
Williams K.W. and Elmquist J.K. (2012). From neuroanatomy to behavior: central integration of peripheral signals regulating feeding behavior. Nat. Neurosci. 15, 1350-1355.
Yang H., Heirbaut S., Jing X., De Neve N., Vandaele L., Jeyanathan J. and Fievez V. (2022). Susceptibility of dairy cows to subacute ruminal acidosis is reflected in both prepartum and postpartum bacteria as well as odd-and branched-chain fatty acids in feces. J. Anim. Sci. Biotechnol. 13, 87-98.
Zebeli Q., Dijkstra J., Tafaj M., Steingass H., Ametaj B. and Drochner W. (2008). Modeling the adequacy of dietary fiber in dairy cows based on the responses of ruminal pH and milk fat production to composition of the diet. J. Dairy Sci. 91, 2046-2066.
Zhang Z., Li F., Ma Z., Li F., Wang Z., Li S., Wang X. and Li K. (2023). Variability in chewing, ruminal fermentation, digestibility and bacterial communities between subacute ruminal acidosis-susceptible and acidosis-tolerant sheep. Animal. 17, 100902-100908.
Zhang Z., Niu X., Li F., Li F. and Guo L. (2020). Ruminal cellulolytic bacteria abundance leads to the variation in fatty acids in the rumen digesta and meat of fattening lambs. J. Anim. Sci. 98, 228-235.
Zhao C., Liu G., Li X., Guan Y., Wang Y., Yuan X., Sun G., Wang Z. and Li X. (2018). Inflammatory mechanism of ru-menitis in dairy cows with subacute ruminal acidosis. BMC Vet. Res. 14, 135-146.
Allen M.S. (1997). Relationship between fermentation acid production in the rumen and the requirement for physically effective fiber. J. Dairy Sci. 80, 1447-1462.
Aschenbach J., Penner G., Stumpff F. and Gäbel G. (2011). Ruminant nutrition symposium: Role of fermentation acid absorption in the regulation of ruminal pH. J. Anim. Sci. 89, 1092-1107.
Bailey C.B. and Balch C.C. (1961). Saliva secretion and its relation to feeding in cattle: 1. The composition and rate of secretion of parotid saliva in a small steer. Br. J. Nutr. 15, 371-382.
Basarab J., Beauchemin K., Baron V., Ominski K., Guan L., Miller S.P. and Crowley J. (2013). Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production. Animal. 7, 303-315.
Bauman D.E. and Griinari J.M. (2001). Regulation and nutritional manipulation of milk fat: low-fat milk syndrome. Livest. Prod. Sci. 70, 15-29.
Baumont R., Dewhurst R., Kuhla B., Martin C., Munksgaard L., Reynolds C., O'Donovan M. and Esmein B. (2019). SmartCow: Integrating European cattle research infrastructures to improve their phenotyping offer. Proc. Ann. Meet. European Associ. Anim. Prod. 25, 18-25.
Beauchemin K. (2018). Invited review: Current perspectives on eating and rumination activity in dairy cows. J. Dairy Sci. 101, 4762-4784.
Bujang M.A. and Baharum N. (2016). Sample size guideline for correlation analysis. World J. Soc. Sci. Res 3(1), 37-46.
Cabrera V.E., Contreras F., Shaver R.D. and Armentano L. (2012). Grouping strategies for feeding lactating dairy cattle. Po. 13-14 in Proc. 4th Dairy Nutr. Manag. Conf. Dubuque, Iowa, USA.
Cardoso F., Kalscheur K. and Drackley J. (2020). Symposium review: Nutrition strategies for improved health, production, and fertility during the transition period. J. Dairy Sci. 103, 5684-5693.
Carter R.R. and Grovum W.L. (1990). A review of the physiological significance of hypertonic body fluids on feed intake and ruminal function: Salivation, motility and microbes. J. Anim. Sci. 68, 2811-2832.
Cellini M., Hussein H., Elsayed H.K. and Sayed A.S. (2019). The association between metabolic profile indices, clinical parameters, and ultrasound measurement of backfat thickness during the periparturient period of dairy cows. Comp. Clin. Pathol. 28, 711-723.
Charan J. and Kantharia N. (2013). How to calculate sample size in animal studies? J. Pharmacol. Pharmacother. 4, 303-311.
Choudhury P.K., Salem A.Z.M., Jena R., Kumar S., Singh R. and Puniya A.K. (2015). Rumen microbiology: An overview. Pp. 3-16 in Rumen Microbiology. A.K. Puniya, R. Singh and D.N. Kamra, Eds., Springer, New Delhi, India.
Contreras-Govea F., Cabrera V., Armentano L., Shaver R., Crump P., Beede D. and VandeHaar M. (2015). Constraints for nutritional grouping in Wisconsin and Michigan dairy farms. J. Dairy Sci. 98, 1336-1344.
Coon R., Duffield T. and DeVries T. (2019). Risk of subacute ruminal acidosis affects the feed sorting behavior and milk production of early lactation cows. J. Dairy Sci. 102, 652-659.
Coppa M., Villot C., Martin C. and Silberberg M. (2023) On-farm evaluation of multiparametric models to predict subacute ruminal acidosis in dairy cows. Animal. 17, 100826-100835.
DeVries T., Dohme F. and Beauchemin K. (2008). Repeated ruminal acidosis challenges in lactating dairy cows at high and low risk for developing acidosis: Feed sorting. J. Dairy Sci. 91, 3958-3967.
Drury B., Valverde-Rebaza J., Moura M.F. and de Andrade Lopes A. (2017). A survey of the applications of Bayesian networks in agriculture. Eng. Appl. Artif. Intell. 65, 29-42.
Esmaeili M., Khorvash M., Ghorbani G.R., Nasrollahi S.M. and Saebi M. (2016). Variation of TMR particle size and physical characteristics in commercial Iranian Holstein dairies and effects on eating behaviour, chewing activity, and milk production. Livest. Sci. 191, 22-28.
Fischer A., Friggens N., Berry D. and Faverdin P. (2018). Isolating the cow-specific part of residual energy intake in lactating dairy cows using random regressions. Animal. 12, 1396-1404.
Fu Y., He Y., Xiang K., Zhao C., He Z., Qiu M., Hu X. and Zhang N. (2022). The role of rumen microbiota and its metabolites in subacute ruminal acidosis (SARA)-induced inflammatory diseases of ruminants. Microorganisms. 10, 1495-1505.
Gao X. and Oba M. (2014). Relationship of severity of subacute ruminal acidosis to rumen fermentation, chewing activities, sorting behavior, and milk production in lactating dairy cows fed a high-grain diet. J. Dairy Sci. 97, 3006-3016.
Gao X. and Oba M. (2015). Noninvasive indicators to identify lactating dairy cows with a greater risk of subacute rumen acidosis. J. Dairy Sci. 98, 5735-5739.
Gao X. and Oba M. (2016). Characteristics of dairy cows with a greater or lower risk of subacute ruminal acidosis: Volatile fatty acid absorption, rumen digestion, and expression of genes in rumen epithelial cells. J. Dairy Sci. 99, 8733-8745.
Golder H. and Lean I. (2024) Ruminal acidosis and its definition: A critical review. J. Dairy Sci. 107, 10066-10098.
Hartinger T., Castillo-Lopez E., Reisinger N. and Zebeli Q. (2024). Elucidating the factors and consequences of the severity of rumen acidosis in first-lactation Holstein cows during transition and early lactation. J. Anim. Sci. 102, 41-55.
Howard B. (2002). Control of variability. ILAR. J. 43, 194-201.
Hu X., Mu R., Maimaiti T., Gao J., Zhao C., Cao Y., Fu Y. and Zhang N. (2021). The Effect of Rumen Microbiota in The Susceptibility of Subacute Ruminal Acidosis in Dairy Cows. Available at:
https://assets-eu.researchsquare.com/files/rs-250349/v1/aeafdbe3-b03e-4439-8554-5f028e8de278.pdf?c=1631877381.
Huot F., Claveau S., Bunel A., Santschi D., Gervais R. and Paquet É. (2023). Relationship between farm management strategies, reticuloruminal pH variations, and risks of subacute ruminal acidosis. J. Dairy Sci. 106, 2487-2497.
Ingvartsen K. and Andersen J. (2000). Integration of metabolism and intake regulation: a review focusing on periparturient animals. J. Dairy Sci. 83, 1573-1597.
Jiang F.G., Lin X.Y., Yan Z.G., Hu Z.Y., Liu G.M., Sun Y.D., Liu X.W. and Wang Z.H. (2017). Effect of dietary roughage level on chewing activity, ruminal pH, and saliva secretion in lactating Holstein cows. J. Dairy Sci. 100, 2660-2671.
Jing L., Dewanckele L., Vlaeminck B., Van Straalen W., Koopmans A. and Fievez V. (2018). Susceptibility of dairy cows to subacute ruminal acidosis is reflected in milk fatty acid proportions, with C18: 1 trans-10 as primary and C15: 0 and C18: 1 trans-11 as secondary indicators. J. Dairy Sci. 101, 9827-9840.
Kaps M. and Lamberson W.R. (2017). Biostatistics for Animal Science. CABI Publishing, UK.
Khafipour E., Krause D. and Plaizier J. (2009). A grain-based subacute ruminal acidosis challenge causes translocation of lipopolysaccharide and triggers inflammation. J. Dairy Sci. 92, 1060-1070.
Khiaosa-ard R., Pourazad P., Aditya S., Humer E. and Zebeli Q. (2018). Factors related to variation in the susceptibility to subacute ruminal acidosis in early lactating Simmental cows fed the same grain-rich diet. Anim. Feed Sci. Technol. 238, 111-122.
King M., Crossley R. and DeVries T. (2016). Impact of timing of feed delivery on the behavior and productivity of dairy cows. J. Dairy Sci. 99, 1471-1482.
Kitkas G.C., Valergakis G.E., Karatzias H. and Panousis N. (2013). Subacute ruminal acidosis: prevalence and risk factors in Greek dairy herds. Iranian J. Vet. Res. 14, 183-189.
Kleen J.L., Upgang L. and Rehage J. (2013). Prevalence and consequences of subacute ruminal acidosis in German dairy herds. Acta Vet. Scand. 55, 48-57.
Korb K.B. and Nicholson A.E. (2010). Bayesian Artificial Intelligence. CRC press, USA.
Krause D., Nagaraja T., Wright A. and Callaway T. (2013). Board-invited review: Rumen microbiology: leading the way in microbial ecology. J. Anim. Sci. 91, 331-341.
Laporte-Uribe J. (2023). CO2 holdup monitoring, ruminal acidosis might be caused by CO2 poisoning. Available at: https://www.researchsquare.com/article/rs-2586161/v1.
Laporte-Uribe J.A. (2016). The role of dissolved carbon dioxide in both the decline in rumen pH and nutritional diseases in ruminants. Anim. Feed Sci. Technol. 219, 268-279.
Laporte-Uribe J.A. (2019). Rumen CO2 species equilibrium might influence performance and be a factor in the pathogenesis of subacute ruminal acidosis. Transl. Anim. Sci. 3, 1081-1098.
Li S., Khafipour E., Krause D., Kroeker A., Rodriguez-Lecompte J., Gozho G. and Plaizier J. (2012). Effects of subacute ruminal acidosis challenges on fermentation and endotoxins in the rumen and hindgut of dairy cows. J. Dairy Sci. 95, 294-303.
Liu K., Stamler J., Dyer A., McKeever J. and McKeever P. (1978). Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol. J. Chronic Dis. 31, 399-418.
Macmillan K., Gao X. and Oba M. (2017). Increased feeding frequency increased milk fat yield and may reduce the severity of subacute ruminal acidosis in higher-risk cows. J. Dairy Sci. 100, 1045-1054.
Maekawa M., Beauchemin K.A. and Christensen D.A. (2002). effect of concentrate level and feeding management on chewing activities, saliva production, and ruminal pH of lactating dairy cows. J. Dairy Sci. 85, 1165-1175.
Minuti A., Ahmed S., Trevisi E., Piccioli-Cappelli F., Bertoni G., Jahan N. and Bani P. (2014). Experimental acute rumen acidosis in sheep: consequences on clinical, rumen, and gastrointestinal permeability conditions and blood chemistry. J. Anim. Sci. 92, 3966-3977.
Mohammed R., Stevenson D., Weimer P., Penner G. and Beauchemin K. (2012). Individual animal variability in ruminal bacterial communities and ruminal acidosis in primiparous Holstein cows during the periparturient period. J. Dairy Sci. 95, 6716-6730.
Mösenfechtel S., Hoedemaker M., Eigenmann U. and Rüsch P. (2002). Influence of back fat thickness on the reproductive performance of dairy cows. Vet. Rec. 151, 387-388.
Nasrollahi S. (2017). The new fundamentals for sub acute ruminal acidosis occurrence and their effects on dairy cow health and productivity: Behavioral responses, molecular changes and individual variations. Ph D Thesis. University of Tehran, Tehran, Iran.
Nasrollahi S., Ghorbani G., Khorvash M. and Yang W. (2014). Effects of grain source and marginal change in lucerne hay particle size on feed sorting, eating behaviour, chewing activity, and milk production in mid-lactation Holstein dairy cows. J. Anim. Physiol. Anim. Nutr. 98, 1110-1116.
Nasrollahi S., Zali A., Ghorbani G., Kahyani A. and Beauchemin K. (2019). Blood metabolites, body reserves, and feed efficiency of high-producing dairy cows that varied in ruminal pH when fed a high-concentrate diet. J. Dairy Sci. 102, 672-677.
Nasrollahi S., Zali A., ghorbani G. and shahrbabak M.M. (2016). The daily patterns of the change in chewing behavior, feed intake, rumen pH and milk composition in high producing Holstein dairy cows. J. Rumin. Res. 4, 171-191.
Nasrollahi S., Zali A., Ghorbani G., Shahrbabak M.M. and Abadi M.H.S. (2017). Variability in susceptibility to acidosis among high producing mid-lactation dairy cows is associated with rumen pH, fermentation, feed intake, sorting activity, and milk fat percentage. Anim. Feed Sci. Technol. 228, 72-82.
Nasrollahi S.M., Zali A., Ghorbani G.R., Khani M., Maktabi H., Kahyani A. and Guyot H. (2021). The effects of the ratio of pellets of wheat and barley grains to ground corn grain in the diet on sorting and chewing activities of heat stressed dairy cows. Vet. Med. Sci. 7, 1409-1416.
Niu M. and Harvatine K.J. (2018). Short communication: The effects of morning compared with evening feed delivery in lactating dairy cows during the summer. J. Dairy Sci. 101, 396-400.
NRC. (2001). Nutrient Requirements of Dairy Cattle. 7th Ed. National Academy Press, Washington, DC., USA.
Penner G.B., Aschenbach J.R., Gäbel G., Rackwitz R. and Oba M. (2009). Epithelial capacity for apical uptake of short chain fatty acids is a key determinant for intraruminal pH and the susceptibility to subacute ruminal acidosis in sheep. J. Nutr. 139, 1714-1720.
Penner G.B. and Beauchemin K.A. (2010). Variation in the susceptibility to ruminal acidosis: Challenge or opportunity? Pp. 24-31 in Proc. Adv. Dairy Technol., Canadan.
Pinheiro J.C. and Bates D.M. (2000). Linear mixed-effects models: basic concepts and examples. Pp. 112-130 in Mixed-effects models in S and S-Plus. J.C. Pinheiro and D.M. Bates, Eds., Springer, New York.
Pires B.C., Tholon P., Buzanskas M.E., Sbardella A.P., Rosa J.O., da Silva L.O.C., de Almeida Torres R.A., Munari D.P. and de Alencar M.M. (2017). Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle. Anim. Prod. Sci. 57, 415-421.
Plaizier J., Krause D., Gozho G. and McBride B. (2008). Subacute ruminal acidosis in dairy cows: The physiological causes, incidence and consequences. Vet. J. 176, 21-31.
Plaizier J., Mulligan F., Neville E., Guan L., Steele M. and Penner G. (2022). Invited review: Effect of subacute ruminal acidosis on gut health of dairy cows. J. Dairy Sci. 105, 7141-7160.
Plaizier J.C., Danesh Mesgaran M., Derakhshani H., Golder H., Khafipour E., Kleen J.L., Lean I., Loor J., Penner G. and Zebeli Q. (2018). Review: Enhancing gastrointestinal health in dairy cows. Animal. 12, 399-418.
Rojo-Gimeno C., Fievez V. and Wauters E. (2018). The economic value of information provided by milk biomarkers under different scenarios: Case-study of an ex-ante analysis of fat-to-protein ratio and fatty acid profile to detect subacute ruminal acidosis in dairy cows. Livest. Sci. 211, 30-41.
Schlau N., Guan L. and Oba M. (2012). The relationship between rumen acidosis resistance and expression of genes involved in regulation of intracellular pH and butyrate metabolism of ruminal epithelial cells in steers. J. Dairy Sci. 95, 5866-5875.
Schwartzkopf-Genswein K., Beauchemin K., Gibb D., Crews Jr D., Hickman D., Streeter M. and McAllister T. (2003). Effect of bunk management on feeding behavior, ruminal acidosis and performance of feedlot cattle: A review. J. Anim. Sci. 81, 149-158.
Sova A., LeBlanc S., McBride B. and DeVries T. (2013) Associations between herd-level feeding management practices, feed sorting, and milk production in freestall dairy farms. J. Dairy Sci. 96, 4759-4770.
Srivastava R., Singh P., Tiwari S. and Kumar D.M.G. (2021). Sub-acute ruminal acidosis: Understanding the pathophysiology and management with exogenous buffers. J. Entomol. Zool. Stud. 9, 593-599.
Steele M., Dionissopoulos L., AlZahal O., Doelman J. and McBride B. (2012). Rumen epithelial adaptation to ruminal acidosis in lactating cattle involves the coordinated expression of insulin-like growth factor-binding proteins and a cholesterolgenic enzyme. J. Dairy Sci. 95, 318-327.
Stefańska B., Komisarek J. and Nowak W. (2020). Noninvasive indicators associated with subacute ruminal acidosis in dairy cows. Ann. Anim. Sci. 1, 21-31.
Stefańska B., Pruszyńska-Oszmałek E., Szczepankiewicz D., Stajek K., Stefański P., Gehrke M. and Nowak W. (2017). Relationship between pH of ruminal fluid during subacute ruminal acidosis and physiological response of the Polish Holstein-Friesian dairy cows. Pol. J. Vet. Sci 20, 551-558.
Storm A.C., Kristensen N.B., Røjen B.A. and Larsen M. (2013). Technical note: A method for quantification of saliva secretion and salivary flux of metabolites in dairy cows1. J. Anim. Sci. 91, 5769-5774.
Sun Y.Y., Cheng M., Xu M., Song L.W., Gao M. and Hu H.L. (2018) The effects of subacute ruminal acidosis on rumen epithelium barrier function in dairy goats. Small Ruminant. Res 169, 1-7.
Villot C., Meunier B., Bodin J., Martin C. and Silberberg M. (2018). Relative reticulo-rumen pH indicators for subacute ruminal acidosis detection in dairy cows. Animal. 12, 481-490.
von Keyserlingk M.A.G., Barrientos A., Ito K., Galo E. and Weary D.M. (2012). Benchmarking cow comfort on North American freestall dairies: Lameness, leg injuries, lying time, facility design, and management for high-producing Holstein dairy cows. J. Dairy Sci. 95, 7399-7408.
Wetzels S., Mann E., Pourazad P., Qumar M., Pinior B., Metzler-Zebeli B., Wagner M., Schmitz-Esser S. and Zebeli Q. (2017). Epimural bacterial community structure in the rumen of Holstein cows with different responses to a long-term subacute ruminal acidosis diet challenge. J. Dairy Sci. 100, 1829-1844.
Williams K.W. and Elmquist J.K. (2012). From neuroanatomy to behavior: central integration of peripheral signals regulating feeding behavior. Nat. Neurosci. 15, 1350-1355.
Yang H., Heirbaut S., Jing X., De Neve N., Vandaele L., Jeyanathan J. and Fievez V. (2022). Susceptibility of dairy cows to subacute ruminal acidosis is reflected in both prepartum and postpartum bacteria as well as odd-and branched-chain fatty acids in feces. J. Anim. Sci. Biotechnol. 13, 87-98.
Zebeli Q., Dijkstra J., Tafaj M., Steingass H., Ametaj B. and Drochner W. (2008). Modeling the adequacy of dietary fiber in dairy cows based on the responses of ruminal pH and milk fat production to composition of the diet. J. Dairy Sci. 91, 2046-2066.
Zhang Z., Li F., Ma Z., Li F., Wang Z., Li S., Wang X. and Li K. (2023). Variability in chewing, ruminal fermentation, digestibility and bacterial communities between subacute ruminal acidosis-susceptible and acidosis-tolerant sheep. Animal. 17, 100902-100908.
Zhang Z., Niu X., Li F., Li F. and Guo L. (2020). Ruminal cellulolytic bacteria abundance leads to the variation in fatty acids in the rumen digesta and meat of fattening lambs. J. Anim. Sci. 98, 228-235.
Zhao C., Liu G., Li X., Guan Y., Wang Y., Yuan X., Sun G., Wang Z. and Li X. (2018). Inflammatory mechanism of ru-menitis in dairy cows with subacute ruminal acidosis. BMC Vet. Res. 14, 135-146.