Evaluation of Stockpiled Perennial Forage Compared to Grass-legume Hay for Chemical Composition and Rumen Degradation Kinetics
Bibliographic record
Abstract
The objective of this study was to determine the chemical composition and in situ degradability of dry matter (DM), crude protein (CP), acid detergent fiber (ADF), and neutral detergent fiber (NDF) of stockpiled perennial forage (SPF) or sun-cured hay (HAY) when collected at the start or end (October vs. December) of fall grazing. Selected 6, 4-ha paddocks consisting of meadow bromegrass and alfalfa, were randomly assigned to 1 of 2 replicated (n = 3) winter feeding systems (SPF and HAY). Sampling was done twice per year at the beginning (October) and end (December) from (a) stockpiled perennial forage (SPF) in field paddocks and from (b) harvested round bale hay (HAY) over 2 consecutive years. Selected 6, 4-ha paddocks consisting of meadow bromegrass and alfalfa, were randomly assigned two winter feeding systems (SPF (n=3) and HAY (n=3)). Sampling were done twice per year at the beginning (October) and end (December) from (a) SPF (b) HAY over 2 consecutive years. To evaluate in situ degradability, duplicate nylon bags from each experimental unit were incubated for 0, 3, 6, 10, 13, 25, 48, 72, and 96 h in five Hereford heifers fitted with rumen cannula. Relative to HAY, SPF had greater (p = 0.01) OM (906 vs. 916 g/kg DM) and NDF (653 vs. 631 g/kg DM) concentrations. Sampling date had no effect (p > 0.05) on CP, OM, and ADF in both forages, whereas the NDF was greater (p = 0.01) in forages sampled in December. The in situ soluble fraction (S) of DM was greater (p = 0.01) for SPF collected in October, HAY collected in October, and HAY collected in December s (156, 138, and 152 g/kg DM, respectively) relative to SPF collected in December (106 g/kg DM). The potentially degradable fraction (D) of CP was less (p < 0.05) for HAY December samples compared to SPF December and HAY October samples (257 vs. 522 and 523 g/kg CP, respectively). The SPF had a greater (p < 0.05) potentially degradable ADF (749 vs. 587 g/kg ADF) and potentially degradable NDF (770 vs. 591 g/kg NDF) compared to HAY. The effect of forage type and sampling date did not affect (p > 0.05) effective degradability of NDF. Regardless of the forage type the potentially degradable fraction of NDF decreased from October to December (SPF: 770 to 730 g/kg NDF) (HAY: 680 g/kg to 491 g/kg NDF). These findings suggest SPF grazing is a robust substitute to hay feeding systems for beef cows.
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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) | 0.000 | 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".