Colonization of <i>Clonostachys rosea</i> on soybean root grown in media inoculated with <i>Fusarium graminearum</i>
Bibliographic record
Abstract
Soybean root rot, caused by Fusarium graminearum, is an important disease in Canada. Clonostachys rosea has been reported to provide protection against plant pathogens in different crops. The objectives of this study were to determine if a strain of C. rosea, ACM 941, can colonize soybean root that were grown in media inoculated with F. graminearum, and to determine if the distribution of C. rosea was different at different root depths. There were three treatments in this study, which included a control (CK) using normal seed without any fungal treatments; seed inoculated with ACM 941 (ACM); and seed inoculated ACM 941 and growing media inoculated with F. graminearum (ACM +Fg). Results showed that the colony forming unit (CFU) of ACM 941 was lower on the tap roots and secondary roots growing 8–13 cm below ground level than sections of roots growing 0–3 cm or 3–8 cm below ground level. ACM 941 was found in roots at the third day after soybean seed was planted, and maintained high CFU most of the time during soybean growth. Inoculation with F. graminearum had no effect on CFU of ACM 941. The ACM 941 strain colonized soybean root rapidly and was not affected by the existence of F. graminearum, suggesting that ACM 941 can successfully compete with F. graminearum, may have potential as an effective biocontrol agent for protecting soybean from the Fusarium root rot.
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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".