N - Datasets
Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. 2022. GrazeMore - grazing intake data. Rothamsted Research. https://doi.org/10.23637/rothamsted.988xv
| Authors | Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. |
|---|---|
| Abstract | Grazing intake data for 8 trials run using commercial dairy herds, comparing two grazing management strategies. |
| Year of Publication | 2022 |
| Publisher | Rothamsted Research |
| Digital Object Identifier (DOI) | https://doi.org/10.23637/rothamsted.988xv |
| Keywords | cattle feeding |
| dairy cows | |
| Publication dates | |
| Online | 16 Jun 2022 |
| Funder | Innovate UK |
| Funder project or code | The use of GPS tracking and the LoRaWAN network to improve productivity of grazing dairy cows |
| Data files | Copyright license CC BY 4.0 Data type Spreadsheet Contents Data File Access Level Open |
| Data collection period | 01 May 2019 to end of 31 May 2021 |
| Geographic location | Southern England |
| Data collection method | Pasture herbage mass estimated using plate meter readings, two replicate samples of 40 observations on each occasion, recording pre-grazing and post-grazing herbage for each grazed paddock on each day. |
| Data preparation and processing activities | Intakes derived as differences between pre- and post-grazing measurements, expressed both per unit area and per animal, and summed across day and night grazing periods and each 24-hour period. Grazing efficiencies calculated as intake as a proportion of available herbage mass. |
Permalink - https://repository.rothamsted.ac.uk/item/988xv/grazemore-grazing-intake-data
