| 3 | Diet and monensin influence the temporal dynamics of the rumen microbiome in stocker and finishing cattle显示文摘Background Stocker cattle diet and management influence beef cattle performance during the finishing stage,but knowledge of the dynamics of the rumen microbiome associated with the host are lacking.A longitudinal study was conducted to determine how the feeding strategy from the stocker to the finishing stages of production affects the temporal dynamics of rumen microbiota.During the stocker phase,either dry hay or wheat pasture were provided,and three levels of monensin were administrated.All calves were then transported to a feedlot and received similar finishing diets with or without monensin.Rumen microbial samples were collected on d 0,28,85 during the stocker stage(S0,S28 and S85)and d 0,14,28,56,30 d before slaughter and the end of the trial during the finishing stage(F0,F14,F28,F56,Pre-Ba,and Final).The V4 region of the bacterial 16S rRNA gene of 263 rumen samples was sequenced.Results Higher alpha diversity,including the number of observed bacterial features and the Shannon index,was observed in the stocker phase compared to the finishing phase.The bacterial amplicon sequence variants(ASVs)differentiating different sampling time points were identified.Dietary treatments during the stocker stage temporally impact the dynamics of rumen microbiota.For example,shared bacteria,including Bacteroidales(ASV19)and Streptococcus infantarius(ASV94),were significantly higher in hay rumen on S28,S85,and F0,while Bacteroidaceae(ASV11)and Limivicinus(ASV15)were more abundant in wheat.Monensin affected rumen microbial composition at a specific time.Transportation to feedlot significantly influenced microbiome structure and diversity in hay-fed calves.Bacterial taxa associated with body weight were classified,and core microbiotas interacted with each other during the trial.Conclusions In summary,the temporal dynamics of the rumen microbiome in cattle at the stocker and finishing stage are influenced by multiple factors of the feeding strategy.Diet at the stocker phase may temporarily affect the microbial composition during this stage.Modulating the rumen microbiome in the steers at the stocker stage affects the microbial interactions and performance in the finishing stage. | Jianmin Chai Caleb P.Weiss Paul A.Beck Wei Zhao Ying Li Jiangchao Zhao | 2024 | Journal of Animal Science and Biotechnology2024,15,2: | 0 |
| 8 | Monitoring permeable paver runoff with an open-innovation geospatial sensor network显示文摘Sensor networks are an essential tool for environmental scientists.As scientists and engineers are beginning to utilize these new methods and devices in their fieldwork,they need to be actively involved in the future of sensor-networking development.Continued sensor network innovation is important for improved standardization,affordability,and interoperability.This article uses a storm water case study to outline an end-to-end open-innovation sensor network.Open innovation by scientists,engineers,and entities is the collaborative process of creating value for this project in permeable paver runoff data and advances within sensor networking.This article focuses on the technical implementation of the near–real-time location and temporally aware sensor network.Data are streamed in near–real-time with subliter precision to the cloud using common off-the-shelf routers.The sensors use Maxim’s 1-wire™protocol,and the unique digital serial numbers confirm the data.The data retrieved compare residence times within the permeable paver catchment basins and the control basin.Sensor network advances are made by bridging the gap between sensor protocols and communication systems.These advances enable the development of open-source representational state transfer web services.Our successful implementation serves as an example for others to study and expand upon for a variety of monitoring solutions. | Andrew J.Rettig Sumit Khanna Richard A.Beck Quinn Wojcik Carmen A.McCane | 2016 | International Journal of Digital Earth2016,9,1: | 0 |