PHYSIOLOGICAL AND BIOCHEMICAL PROPERTIES OF SOYBEAN CULTIVARS INFECTED WITH PHYTOPATHOGENIC FUNGI
Bibliographic record
Abstract
An investigation on soybean (Glycine max L.) commenced at the experimental field of the Institute of Genetics and Plant Experimental Biology, Academy of Sciences, Republic of Uzbekistan. The purposive study aimed to determine the effects of Fusarium solani phytopathogenic micromycetes on the physiological and biochemical composition of five soybean cultivars, viz., Sochilmas, Genetic-1, Nafis, Tomaris, and Baraka. The results revealed in the budding and flowering stages, the soybean cultivar leaves infected with F. solani showed decreased amounts of chlorophyll a and b compared with the healthy plants (control). In the control comparison against the soybean variants with phytopathogenic micromycetes, some soybean cultivars showed enhanced contents of carotenoids in the leaves, and others revealed a decline in carotenoids to varying degrees. The peroxidase enzyme activity was higher in soybean cultivars Tomaris and Nafis artificially infected with F. solani than the other cultivars. It was evident that the peroxidase enzyme activity under the influence of F. solani in the leaves of studied soybean cultivars increased by 20.76%, 43.6%, and 35.4%, respectively, in Baraka, Tomaris and Nafis cultivars. Results further indicated that under the influence and stressful conditions of F. solani, the activity of the polyphenol oxidase enzyme enhanced by 84.1% and 117.1%, respectively, in soybean cultivars Tomaris and Nafis. The phenylalanine-ammonia-lyase enzyme activity was also higher in the said cultivars with F. solani infection compared with the control. The earlier situation confirmed that the soybean plant leaves’ physiological and biochemical parameters are closely associated with the phytopathogenic micromycetes
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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 | 0.000 |
| 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".