Effect of different levels oak acorn on biodiversity bacterial epimural populations using molecular techniques of PCR-SSCP in Markhoz goats

Document Type : Research Paper

Authors

1 Department of Animal Science, Faculty of Agricultural Sciences, University of Kurdistan,Sanandaj

2 Department of Animal Science, Faculty of Agricultural Sciences, University of Kurdistan, Sanandaj

Abstract

The aim of this study was to evaluate the effects of different levels of oak Acorn on the biodiversity of rumen epimural bacterial population using PCR-SSCP molecular technique in Merkhoz goats. A total of 24 Markhoz goats with a mean BW of 16.93±1.25 kg and an average age of 4–5 months were tested in a completely randomized design with 4 treatments and 6 replications for 105 days. Experimental treatments included 1) control diet, 2) diet containing 8% oak acorn, 3) diet containing 17% oak acorn and 4) diet containing 25% oak acorn. The results showed that the effect of diet on biodiversity of rumen bacterial epimural community was significant (P <0.001). There was no significant difference between other experimental treatments (P> 0.05), although treatments containing 8% and 17% oak had more variety than treatments containing 25% oak. Sampling site had no effect on biodiversity of rumen bacterial epimural community (P> 0.05). The highest value of Shannon index was related to ventral ruminal site and the lowest was related to reticulum. The interaction effect of diet and sampling position on biodiversity of rumen bacterial epimural community was significant (P> 0.05). The results showed that the use of oak acorn up to 17% in the diet increased the biodiversity of the of rumen bacterial epimural community, while the use of 25% oak in the diet decreased the biodiversity of the rumen bacterial epimural community.

Keywords

Main Subjects

Iranian Journal of animal Science

Articles in Press, Accepted Manuscript
Available Online from 08 July 2023

Files

History

  • Receive Date: 28 February 2023
  • Revise Date: 22 June 2023
  • Accept Date: 25 June 2023

Share

How to cite

Statistics