Differentiation of mixtures of co-product blend with barley grain based on Fourier transform infrared attenuated total reflection molecular spectroscopy: Carbohydrate molecular spectral profiles and nutritive characteristics in dairy cattle
Bibliographic record
Abstract
The objectives of this study were to (1) differentiate mixtures of a co-product blend (70:30% mixture of wheat:corn before bioethanol fermentation) from bioethanol processing with barley grain based on Fourier transform infrared attenuated total reflection molecular spectroscopy with cluster analysis, (2) elucidate the effects of the co-product blend on the molecular structure spectral profile and nutritive characteristics of the hull-less barley carbohydrate (CHO) in dairy cattle, and (3) quantify the relationship between the CHO molecular structure spectral profiles and CHO nutritive characteristics of the mixtures in dairy cattle. The parameters assessed for CHO molecular structure spectral profiles included molecular spectral peak area and height intensities of lignin, structural CHO (STCHO), cellulosic compounds, and total CHO. The parameters assessed for CHO nutritive characteristics included the CHO nutrient profiles, CHO subfractions, energy values, and rumen-fermentable organic matter supply. Hull-less barley grains and the co-product blend were mixed according to the ratio of 100:0 (B100), 75:25, 50:50, 25:75, and 0:100 (BD100). The results showed that when the co-product blend was included at the different ratios, the predicted rumen-fermentable organic matter supply in the rumen was significantly decreased from 632 (B100) to 518 g/kg of dry matter (DM; BD100). The effective degradable dry matter in the rumen and the effective degradable starch in the rumen were also significantly decreased from 672 and 482 g/kg of DM (B100) to 475 and 43 g/kg of DM (BD100), respectively. By using Fourier transform infrared attenuated total reflection spectroscopy, we identified were significant changes in the spectral profiles of the CHO molecular structure in terms of lignin, STCHO, cellulosic compounds, and total CHO spectral peak area and height and their ratios. Pearson analysis results suggested strong correlations between lignin peak area, cellulosic compound area, and total CHO peak area and CHO nutrient profiles except energy values (net energy for lactation at 3 times maintenance intake, net energy for maintenance, and net energy for gain). No correlation was observed between STCHO peak area and CHO nutrient profiles in the mixture samples.
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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 | 0.001 | 0.001 |
| 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".