Studies on Brassica carinata Seed. 2. Carbohydrate Molecular Structure in Relation to Carbohydrate Chemical Profile, Energy Values, and Biodegradation Characteristics
Bibliographic record
Abstract
The objectives of this study were to investigate (1) the carbohydrate chemical profile, (2) the energy values, (3) the rumen neutral detergent fiber (NDF) degradation kinetics, (4) the carbohydrate-related functional group structural features using a Fourier transform infrared (FTIR) spectroscopic technique with attenuated total reflectance (ATR), and (5) the correlations between carbohydrate intrinsic structural features and nutritional profiles in three strains of Brassica carinata in yellow and brown seed coats, with comparison to canola seed as a reference. The results showed that yellow B. carinata strains 111000EM and AAC A100 were lower for contents of neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and carbohydrate (CHO) and higher for contents of total digestible nutrients (TDN), energy values, and effective degradable NDF (EDNDF) than brown-seeded 110915EM. In comparison, brown canola seed (Brassica napus L.) had more fiber content and less EDNDF. Also, carinata strains showed significantly different IR intensities in structural carbohydrate (SCHO), cellulosic compounds (CELC), and total CHO profiles. These structural variations might be one of the possible reasons for various fiber profile and biodegradation characteristics for ruminants in oilseeds. However, multivariate analyses within carbohydrate regions indicated there were still some structural relationships among the four oilseed samples. Moreover, the correlation study showed that the changes of CELC and CHO peak intensities were highly related with some changes in CHO chemical profile, energy values, and in situ NDF degradation kinetics in B. carinata and canola seeds. Further study with a large sample size is still necessary to figure out whether CHO molecular spectral information could be used to predict nutrient values and biological behavior in oilseeds.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".