Inoculation with heterofermentative strains <i>Lentilactobacillus buchneri</i> CNCM 40788 and <i>Lentilactobacillus hilgardii</i> CNCM I-4785 either alone or combined improves fermentation and aerobic stability of ensiled triticale (X-triticosecale)
Bibliographic record
Abstract
<abstract> <p>Triticale, a small-grain forage, was harvested for an ensiling experiment evaluating different silage inoculants. Fresh material (mean dry matter 404.1 g kg<sup>−1</sup>) was wilted, chopped, and assigned to one of four treatment groups including water only (Control), heterofermentative strains <italic>Lentilactobacillus buchneri</italic> (LB), <italic>Lentilactobacillus hilgardii</italic> (LH), or combination (Combo) of both. Inoculants were applied at 4.0 x 10<sup>5</sup> CFU per g of fresh forage, and the Combo contained both strains at 2.0 x 10<sup>5</sup> CFU per g. Treated forage was packed into 7.57 L mini-silos for openings after 15, 30, and 130 d. Samples were collected at each opening for microbial enumeration of lactic acid bacteria, enterobacteria, yeasts, and moulds. Additional samples were collected for analysis of fermentation profiles, and nutritional analysis following dry matter determination and grinding. Aerobic stability was also evaluated at each opening through a 10-d period. Fermentation profiles were notably affected, including increases in acetic acid (g/kg DM) in LB and Combo treated silage after 15 d which resulted in reduced pH. Aerobic stability was vastly improved through inoculation by prolonging the time to reach 2˚ C above ambient, which was likely a result of decreased yeast counts. Our research validates the use of combined heterofermentative lactic acid bacteria strains on an ensiled small-grain specie, and further agrees with previous findings of prolonged aerobic stability through increases in lactate and acetate in response to co-inoculation.</p> </abstract>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".