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Relation Between Rumen Bacteria and Milk Production Parameters
Lietuvos sveikatos mokslų universitetas | ||
Tapio, Ilma | Natural Resources Institute Finland (Luke), Jokioinen, Finland | |
Lietuvos sveikatos mokslų universitetas | ||
Lietuvos sveikatos mokslų universitetas | ||
Lietuvos sveikatos mokslų universitetas |
Date Issued |
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2022-09-29 |
Poster Presentations
ISBN 978-9986-08-089-3
Cows’ milk production depends on diets and the fermentation process in the rumen. The digestive processes in ruminants are the most complicated compared to other animals. It is very important to know which rumen bacteria is beneficial for milk production. For this reason, we estimated the correlation between rumen bacterial composition and milk parameters. We tested 54 rumen content and milk samples in this study. The DNA was isolated from the rumen contents using a solution of phenol, chloroform and isoamyl alcohol. The QIAquick PCR Purification kit (Qiagen, Germany) was used for DNA isolation and purification. Libraries of bacterial 16S ribosomal RNA gene (rRNA) V4 region were prepared following the “16S metagenomic sequencing library preparation” protocol (Illumina), by using 515 F and 806R primers with Illumina adapters. Libraries were sequenced with Illumina MiSeq (Finnish Functional Genomics Centre, Turku) using PE approach and 2 x 250 bp chemistry. Sequencing data were further processed using Qiime v 1.9.1. The taken milk samples were sent to the laboratory of UAB “Pieno tyrimai”. Milk fat, protein, lactose, urea and milk pH were determined using a LactoScopeFTIR infrared mid-range meter (FT1.0. 2001; Delta Instruments, Netherlands). Somatic cell counts were determined by cytometry using a Somascope meter (CA-3A4, 2004; Delta Instruments, Netherlands). The amount of milk per cow was recorded daily according to the readings of the milk scales at the milking parlor (Delaval, Sweden). Statistical analyses were calculated using the open-access online software Calypso, Version 8.84. The correlation coefficient (r) was calculated using Pearson. The strength of correlation was determined from the calculated r-value: strong: r > 7; medium strength: ± 7> r ≥ ± 0.4; weak: ± 0.4> r > 0. Results are considered statistically significant at p < 0.001, p < 0.01, and p < 0.05. The results showed that Ruminobacter spp. correlated positively with milk yield (r = 0.364; p < 0.01), milk fat (r = 0.363; p < 0.01), milk protein (r = 0.900; p < 0.05), milk lactose (r = 0.466; p < 0.001). The daily milk yield negatively correlated with Fibrobacter spp. (r = –0.293; p < 0.05) and Succiniclasticum spp. (r = –0.352; p < 0.05). Positive correlation was determined between with milk lactose and Ruminococcus spp. (r = 0.297, p < 0.05), somatic cell count and Fibrobacter spp. (r = 0.387; p < 0.01). Negative correlation was observed between milk urea and Butyrivibrio spp. (r = –0.299; p < 0.05), Succiniclasticum spp. (r = –0.301, p < 0.05). Our study results revealed, that the most positive influence on milk production parameters has Ruminobacter spp. – maintaining this bacterial species would be beneficial for milk production aspects. Also, by this study results, we can confirm that exist relation between the rumen microbial community and milk production.