The Effects of Temperature and Photoperiod on Sporulation and Colony Development of Beauveria bassiana Strain Canada 1
Bibliographic record
Abstract
Objective:To clarify the effect of temperature,photoperiod and UV on the sporulation and colony development of Beauveria bassiana strain Canada1,which is highly virulencet against Bemisia tabaci. Method:The colony diameter,conidia production,conidia density and conidia germination with different temperature,photoperiod and UV exposure time were observed,respectively.Results:The colony treated with 14ddarkness had the biggest diameters and the lowest conidia densities and,in contrast,the colony treated with 14dlight had the highest conidia densities and the smallest colony sizes.The colony grown in 6ddarkness and followed by 8dlight produced the largest amount of conidia.The optimum temperature for conidia growth was 28℃and the colony had the biggest diameter and the greatest conidia number after 14days of culture.The colony which was grown under 28℃ had the biggest colony diameter and conidia number.In contrast,the colony cultured under 19℃showed the slowest hypha growth,having the smallest colony diameter and producing the smallest amount of conidia.The optimum temperature for sporulation was 22℃,and the colony had the highest conidia density(5.3×105 spore/mm2).UV irradiation significantly affected spore viability.The conidia germination reduced significantly with increasing UV exposure time and was completely inactivated after UV exposure for 2h.Conclusions:Darkness was helpful to hypha growth,but light was beneficial for sporulation.The optimum temperature was 28 ℃ for hypha growth and 22℃for sporulation.UV significantly reduced conidia viability.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".