The Role of the Fecal Microbiome in Predicting Methane Emission in Cattle
| dc.contributor.author | Kotz, Allan James | |
| dc.contributor.examiningcommittee | McGeough, Emma (Animal Science) Amiro, Brian (Soil Science) | en_US |
| dc.contributor.supervisor | Khafipour, Ehsan (Animal Science) Plaizier, Kees (Animal Science) | en_US |
| dc.date.accessioned | 2017-04-28T20:01:37Z | |
| dc.date.available | 2017-04-28T20:01:37Z | |
| dc.date.issued | 2017 | |
| dc.degree.discipline | Animal Science | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Six mature non-lactating Holstein dairy cows were offered one of three diets with forage to grain ratios of 100:0 (G0), 75:25 (G25), and 50:50 (G50). The forage portion of the diet consisted of 80% grass hay and 20% alfalfa hay (on a Dry Matter (DM) basis). The experiment was a replicated 3x3 Latin Square Design, each animal received each of the three diets over the course of the three 5-week periods. A statistical model was created combining 23 bacterial members in the feces, chosen due to their significant Variable Influence on Projection (VIP) values, along with ADF, NDF and starch formulated a basic predictive model for overall CH4 production (L d-1). The model had an R2 value of 0.51 and a Q2 value of 0.49. These 23 bacterial members, along with ADF, NDF, and starch can detect an increase or decrease from mean CH4 production levels. | en_US |
| dc.description.note | May 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/32239 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Gut microbiome, Cattle, Methane Emissions | en_US |
| dc.title | The Role of the Fecal Microbiome in Predicting Methane Emission in Cattle | en_US |
| dc.type | master thesis | en_US |