Interconnection between protein‐related chemical functional group spectral features of prairie oat (<i>Avena sativa</i> L.) varieties and ruminant relevant nutrition—Degradation, intestinal digestion and true nutrient supply to dairy cows
Bibliographic record
Abstract
To our knowledge, the study interconnection between inherent chemical functional group spectral features and nutrient utilisation is still limited. The objective of this study was to test the adequacy of vibrational Fourier transform infrared attenuated total reflectance (ATR-FTIR) spectroscopy as a fast tool to assess the interactive relationship between the nutritive value of the Prairie cool-season oat (Avena sativa L.) varieties in dairy cows and inherent chemical functional group spectral features. The chemical functional group spectral features of the Prairie cool-season oat varieties in western Canada were determined by Fourier transform infrared attenuated total reflectance spectroscopy. The protein-related spectral parameters of chemical functional groups included peak height and peak area intensity of Amide I, Amid II, protein structural α-helix and β-sheet, and their ratios. The rumen degradation kinetics were determined using in situ techniques with four rumen-canulated lactating dairy cows. The intestinal digestion was evaluated using a three-step in vitro technique with 12 h preincubation. The experiment was an randomized complete block design. The data were analysed using the mixed-model procedure of the Statistical Analysis System. The results showed that the interconnection between rumen degradation kinetics, intestinal digestion and true nutrient supply to dairy cows and protein-related chemical functional group spectral features could be revealed by ATR-FTIR with univariate and multi-variate spectral analyses. These findings indicate that ruminant relevant nutritive value of cool-season oats could be rapidly evaluated and predicted using oat-specific functional group spectral characteristics which could be obtained by a non-distractive bioanalytical tool of ATR-FTIR spectroscopy.
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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".