Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Müller, R.
and
Kirchner, I.
1969.
Methodische Beiträge zur Bestimmung der Wasserstoffionen‐ Konzentration und des Redoxpotentials im Panseninhalt des Rindes in vitro und in vivo1.
Zeitschrift für Tierphysiologie Tierernährung und Futtermittelkunde,
Vol. 25,
Issue. 1-5,
p.
242.
Sutton, J. D.
and
Johnson, V. W.
1969.
Fermentation in the rumen of cows given rations containing hay and flaked maize or rolled barley in widely different proportions.
The Journal of Agricultural Science,
Vol. 73,
Issue. 3,
p.
459.
Chimwano, A. M.
Ørskov, E. R.
Stewart, C. S.
and
Grand, Carol
1977.
Effect of Varying Proportions of Roughage and Concentrate on Grass Dry Matter and Cellulose Digestion in the Rumen of Sheep.
East African Agricultural and Forestry Journal,
Vol. 42,
Issue. 4,
p.
441.
Erfle, J.D.
Boila, R.J.
Teather, R.M.
Mahadevan, S.
and
Sauer, F.D.
1982.
Effect of pH on Fermentation Characteristics and Protein Degradation by Rumen Microorganisms In Vitro.
Journal of Dairy Science,
Vol. 65,
Issue. 8,
p.
1457.
Weimer, Paul J.
1992.
Cellulose Degradation by Ruminal Microorganisms.
Critical Reviews in Biotechnology,
Vol. 12,
Issue. 3,
p.
189.
Dado, R.G.
and
Allen, M.S.
1993.
Continuous Computer Acquisition of Feed and Water Intakes, Chewing, Reticular Motility, and Ruminal pH of Cattle.
Journal of Dairy Science,
Vol. 76,
Issue. 6,
p.
1589.
Sehgal, J.P.
and
Makkar, G.S.
1994.
Protein evaluation in ruminants. 2. Evaluation of agroindustrial by-product-based rations in metabolic and rumen studies of buffalo calves.
Animal Feed Science and Technology,
Vol. 47,
Issue. 1-2,
p.
61.
Mouriño, F.
Akkarawongsa, R.
and
Weimer, P.J.
2001.
Initial pH as a Determinant of Cellulose Digestion Rate by Mixed Ruminal Microorganisms In Vitro.
Journal of Dairy Science,
Vol. 84,
Issue. 4,
p.
848.
AlZahal, O.
Rustomo, B.
Odongo, N. E.
Duffield, T. F.
and
McBride, B. W.
2007.
Technical note: A system for continuous recording of ruminal pH in cattle1.
Journal of Animal Science,
Vol. 85,
Issue. 1,
p.
213.
Mensching, A.
Hummel, J.
and
Sharifi, A.R.
2020.
Statistical modeling of ruminal pH parameters from dairy cows based on a meta-analysis.
Journal of Dairy Science,
Vol. 103,
Issue. 1,
p.
750.
Han, Chan Su
Kaur, Upinder
Bai, Huiwen
Roqueto dos Reis, Barbara
White, Robin
Nawrocki, Robert A.
Voyles, Richard M.
Kang, Min Gyu
and
Priya, Shashank
2022.
Invited review: Sensor technologies for real-time monitoring of the rumen environment.
Journal of Dairy Science,
Vol. 105,
Issue. 8,
p.
6379.
Hajnal, Éva
Kovács, Levente
and
Vakulya, Gergely
2022.
Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods.
Sensors,
Vol. 22,
Issue. 18,
p.
6812.