Field Pea Supplementation in Dairy Cattle - Supplementary data
Bibliographic record
Abstract
The Supplementary data provided in this repository include Supplemental Figures and Tables, as well as metadatafile required for reproducing the bioinformatics analyses on the 16S rRNA gene sequencing dataset. The title of this manuscript: Impact of dietary inclusion of field peas (Pisum sativum) on milk production, blood metabolites, rumen fermentation, and composition of rumen bacterial community of lactating dairy cows". The Northern Plains of Canada and the United States provide a suitable environment for growing field peas. Due to their high CP and starch concentrations, the livestock feed industry represents a potential market for lower-grade peas and pea by/co-products unsuitable for human consumption. This study evaluated the effects of partially replacing different protein sources in a corn grain-based concentrate with coarsely ground field peas in the diet of lactating dairy cows on milk production, blood metabolites, rumen fermentation, and rumen bacterial community. Inclusion of up to 7.8% coarsely ground peas increased rumen NH3-N, BUN, and MUN concentrations, and decreased digestibility of DM, CP, and NDF, but these changes did not negatively affect feed intake, milk yield and protein production, or rumen fermentation parameters. The results suggest that using a finer grind of peas may enhance digestibility and nutrient utilization in dairy cow diets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.040 | 0.074 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.100 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".