Fermentation characteristics and changes of lactic acid bacteria isolated from ensiling Lespedeza hedysaroides
Bibliographic record
Abstract
Two strains of lactic acid bacteria(LAB) were isolated from fresh Lespedeza hedysaroides,and Pediococcus pentosaceus(LH29﹚and Lactobacillis plantarum(LH33) were obtained by 16S rRNA method and traditional identification methods.This study showed that the acid-production rate of LH29 was better than that of LH33 in the early stage of ensiling,but the LH33 was better than LH29 in the later stages.SNOW LACT-L(SL) and Acremonium cellulose(AC) were used as additives to L.a hedysaroides silage.During the fermentation process,LAB in SL+AC treatments was bigger significantly than that in the control silage(CK) after two days of ensiling(P0.05).On the thirtieth day,the numbers of aerobic bacteria,yeasts,molds and E.coli in all treatments decreased,in which E.coli declined significantly(P0.05).Compared to CK,all the silages with additives had significantly lower pH,NH3-N,butyric acid concentration and significantly higher lactic acid content(P0.05).The improvement in silage quality was graded basing on Flieg score: ACSL+ACSLCK.The highest Flieg point was obtained from tests with AC and SL+AC.
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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) | 0.000 | 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 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".