Biocontrol of Soybean Root Rot caused by F.oxysporum and F.graminearum
Bibliographic record
Abstract
The trails were conducted in Eastern Cereal and Oilseed Research Centre Agriculture and Agri-Food Canada,Ottawa.The target of this research was screening the biocontrol treatments against the soybean root rot caused by F.oxysporumy and F.graminearum in crop rotation systems(soybean/wheat/corn).The experiments demonstrated that F.oxysporum and F.graminearum isolated from soybean roots cowld cause soybean root rot,and the pathogenicity of F.oxysporum was stronger than that of F.graminearum.Thirteen biocontrol strains isolated respectively from soybean roots,wheat roots and two crop's rhizosphere soil were used in this study,which were supplied by Eastern Cereal and Oilseed Research Centre Agriculture and Agri-Food Canada and Northeast Institute of Geography and Agricultural ecology,CAS.The control efficiency of the biocontrol strains was not significantly different between F.oxysporumy and F.graminearum in the lab,and the control efficiency of ZT1,MM7,ZT2,Tr14,MM8 and Tr18 were higher significantly than Tr51,MM35,MM9 and ACM.In the greenhouse,the restraint efficiency of the biocontrol treatments on two Fusarium,and their promotion growth on soybean were both different significantly.Meanwhile the effects of thirteen biocontrol treatments were also different significantly.Tr12,ACM,SB24+MM7 and chemical CK could restrain F.oxysporum colonization in certain degree and promote the growth of soybean;however Tr14,MM7 and Tr12 could also restrain F.graminearum.The field trails found that biological control agent ACM + MM7 could increase soybean yield by 10% compared with the CK under the soil inoculated by Fusarium,while CH-Tr14,CH-Tr12 and chemical control could also increase the yield by 9%,8% and 6%,respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".