Chemical characterization, energy values, protein and carbohydrate fractions, degradation kinetics of frost damaged wheat (with severely overall weight loss) in ruminants
Bibliographic record
Abstract
In Canada, frost damage can result in millions of tonnes of wheat that is not suitable for human consumption (such wheat is referred to as 'frozen') each year. There is a need to systematically evaluate the nutritive value of frozen wheat for ruminants. So far, little research has been conducted to determine the magnitude of the differences in nutritive value between frozen and normal wheat. The objectives of this study were to compare frozen wheat and normal wheat (AC Barrie) in terms of (i) chemical characteristics; (ii) protein and carbohydrate fractions; (iii) energy value; and (iv) rumen degradation kinetics. The results showed that the overall yield losses of the frozen wheat were around 24%. The frozen wheat was significantly lower (P < 0.05) in starch (47 vs. 62%DM), non-structural carbohydrates (60 vs. 70%DM), and non-protein N (63 vs. 93%SCP); and higher (P < 0.05) in crude fat (3 vs. 2%DM), acid (6 vs. 2%DM), neutral detergent fiber (22 vs. 10%DM), lignin (2 vs. 1%DM), acid (3 vs. 1%CP) and neutral detergent insoluble CP (19 vs. 14%CP). The frozen wheat was also lower in (P < 0.05) energy (TDN, DE(3X), ME(3X,) NEL(3X), DE(4X), ME(4X,) NEL(4X) for dairy; ME, NE(m), and NE(g) beef cattle). After partitioning of protein and carbohydrate (CHO) subfractions, the results showed that the frozen wheat was lower (P < 0.05) in the intermediately degradable CP (PB2: 47 vs. 59%CP); and higher in rapidly degradable CP (PB1: 12 vs. 2%CP) and unavailable CP (PC: 3 vs. 1%CP). The frozen wheat was also lower (P < 0.05) in intermediately degradable CHO (CB1: 60 vs. 77%CHO); and higher (P < 0.05) in slowly degradable CHO (CB2: 20 vs. 8%CHO) and unavailable CHO (CC: 5 vs. 2%CHO). The in situ results showed that the frozen wheat had different patterns in rumen degradation kinetics of protein and starch. The extent of the changes varied according to the specific nutrient examined. In conclusion, the frozen wheat differed in chemical characteristics, TDN and energy values, protein and carbohydrate fractions and in situ degradation behavior from normal wheat. The chemical and nutritional characterization of wheat was highly associated with climate condition (frost damage). The frost damage to the wheat reduced nutrient content and availability and thus reduced nutrient supply to ruminants.
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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".