PSI-25 Effect of varieties and tannin levels (low vs. normal) on the rumen degradation kinetics and intestinal digestion of faba beans grown in western Canada.
Bibliographic record
Abstract
The main objective of this research was to study the effect of variety and tannin level on the degradation kinetics and intestinal digestion of primary and bypassed nutrients of faba beans grown in western Canada. 24 samples of faba bean seeds (8 varieties, grown in 3 locations in western Canada per variety) with 2 tannin levels (low vs. normal) were used for study on dry matter (DM), protein (CP), carbohydrates (CHO), and fiber content (NDF) fermentation. Rumen degradation kinetics were determined using the standard in situ animal trial procedure with four cannulated cows according to the ‘gradual addition/all out’ schedule for 0, 2, 4, 8, 12 and 24 hours. Intestinal digestion was determined using the three-step in vitro technique with 12 hours pre-rumen incubation sample. MIXED model procedure of SAS 9.4 was used for statistical analyses of RCBD data with significance declared at P<0.05. Low tannin seeds proved higher content (P<0.05) of rumen bypass starch (BSt) than normal tannin seeds (93 g/kg vs. 84 g/kg); rumen bypass neutral detergent fiber (RUNDF) was significantly higher (P<0.01) on normal tannin seeds compared to low tannin seeds (109 vs. 99 g/kg DM). Intestinal digestibility of rumen bypass protein (dIDP) was significantly higher (P<0.01) in low tannin seeds (83% vs. 75%). Total digested starch (TDST) was higher (P<0.05) in normal tannin seeds (98% vs. 96%) while total digested neutral detergent fiber (TDNDF) was higher (P<0.05) in low tannin seeds (58% vs. 53%). There was no significant difference (P>0.05) in rumen undegraded crude protein (RUP); however, a tendency was observed (P<0.10) with a higher content on normal tannin seeds (67 vs. 62 g/kg DM). Results indicate that both low and high tannin faba bean varieties have desirable metabolic characteristics as for them to be used in cattle diets in terms of protein and energy supply.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".