Influence of an inoculant containing Lentilactobacillus hilgardii, Lentilactobacillus buchneri, and Pediococcus pentosaceus on the aerobic stability and nutrient degradability of whole-plant corn ensiled at different dry matter levels
Bibliographic record
Abstract
Two experiments were conducted to evaluate the effects of an inoculant containing Lentilactobacillus hilgardii CNCM-I-4785, Lentilactobacillus buchneri NCIMB 40788, Pediococcus pentosaceus NCIMB 12455, β-glucanase, and xylanase on the fermentation profile, aerobic stability, and nutrient degradability of whole-plant corn silage. In Experiment 1, a brown midrib corn hybrid was harvested at 35.4 % dry matter (DM) and ensiled for 14 and 90 d. In Experiment 2, a conventional corn hybrid was harvested at either a low DM content (26.2 %) or a high DM content (39.7 %) and ensiled for 30, 60, 120, and 180 d. In Experiment 1, inoculation increased acetic acid concentrations at both 14 and 90 d and markedly improved aerobic stability at 90 d (+ 360 h). In Experiment 2, inoculation increased acetic acid concentrations at 60, 120, and 180 d in both DM levels and at 30 d only in low DM. Inoculation improved aerobic stability at 30 (+ 30 h), 120 (+111 h), and 180 d (+ 89 h) across both DM levels. At 60 d, the increase in stability by inoculation was greater in low DM (+ 58 h) than in high DM silage (+ 36 h). Inoculation enhanced starch degradability by 9.8 %age points at 90 d in Experiment 1, and by 4.7 and 2.7 %age points at 120 and 180 d, respectively, in Experiment 2. Overall, the inoculant effectively enhanced aerobic stability and starch degradability across two hybrids and three distinct DM levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 teacher head, 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".