British Society of Animal Science 2009 , 2009-03-30

Title : ( The effect of fluctuations in rumen pH on protozoa populations in rumen fluid as determined by real-time polymerase chain reaction )

Authors: Mohsen Danesh Mesgaran , Seyed Alireza Vakili , Alireza Heravi Moussavi , Reza Valizadeh , Mohammadreza Nassiri , Yáñez Ruiz , Newbold ,

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Ruminal ciliated protozoa are similar to bacteria in that their numbers increase in response to increased substrate availability. Moderate increases in grain intake result in large increases in the numbers of ciliated protozoa (Dennis et al., 1983). In contrast, high- or all grain diets have variable effects, including total elimination of protozoa in some animals (Franzolin and Dehority, 1996). Ciliated protozoa are believed to be much more sensitive than bacteria to fluctuations and reductions in ruminal pH; hence, ruminal pH is a critical factor in the maintenance of ciliated protozoa in the rumen. The objective of the present experiment was to investigate the effect of fluctuation in ruminal pH on the population of protozoa in rumen fluid

Keywords

, fluctuations, rumen pH, protozoa populations, real-time polymerase chain
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@inproceedings{paperid:1010809,
author = {Danesh Mesgaran, Mohsen and Vakili, Seyed Alireza and Heravi Moussavi, Alireza and Valizadeh, Reza and Nassiri, Mohammadreza and Yáñez Ruiz and Newbold},
title = {The effect of fluctuations in rumen pH on protozoa populations in rumen fluid as determined by real-time polymerase chain reaction},
booktitle = {British Society of Animal Science 2009},
year = {2009},
location = {ENGLAND},
keywords = {fluctuations; rumen pH; protozoa populations; real-time polymerase chain reaction},
}

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%0 Conference Proceedings
%T The effect of fluctuations in rumen pH on protozoa populations in rumen fluid as determined by real-time polymerase chain reaction
%A Danesh Mesgaran, Mohsen
%A Vakili, Seyed Alireza
%A Heravi Moussavi, Alireza
%A Valizadeh, Reza
%A Nassiri, Mohammadreza
%A Yáñez Ruiz
%A Newbold
%J British Society of Animal Science 2009
%D 2009

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