PSI-3 Effect of stage of maturity of forage pea cultivar (Pisium sativum L.) in hay on palatability, ruminal fermentation, and digestibility when fed to beef cattle
Bibliographic record
Abstract
Abstract The objective of this experiment was to evaluate stage of maturity at harvest for pea hay on DMI, eating behavior, ruminal fermentation, and digestibility when fed to beef heifers. Pea hay was harvested at early, mid, and late stages of maturity. Early was defined as observing flat pods at one or more nodes. Mid stage was defined as seeds filling the pods at one or more nodes and leaves beginning to turn from green to gold. Late stage was defined as yellow, dry seeds filling pods on most or all of the nodes, with a yellow color to the leaves and pods. Six ruminally-cannulated Speckle Park heifers were used in a replicated 3 × 3 Latin square design with 3 18-d periods with pea hay included at 40% of the dietary DM. Stage of maturity did not affect DMI or ruminal total SCFA concentration with averages of 3.2 kg/d and 96.55 mM, respectively. Time spent ruminating decreased with advancing maturity when reported as min/d, min/kg DMI, and min/kg NDF (P ≤ 0.01). Mean ruminal pH also decreased with advancing pea maturity (P < 0.01). The ruminal DM and uNDFOM pools were not affected by stage maturity (P ≥ 0.55). While the rate of digestion for NDF was not affected, NDF passage rate decreased by 0.21 %/h with advancing maturity (P = 0.02). Apparent total tract digestibility of NDF (average = 16.30%, P = 0.41) was not affected but starch digestibility tended to decrease from 96.10 to 93.08% with advancing maturity (P = 0.07). Overall, stage of maturity at harvest for pea hay does not appear to impact DMI, fermentation, or digestibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".