Transformation and Transgenic Expression studies of Glyphosate tolerant and Cane Borer Resistance Genes in Sugarcane (<i>Sccharum officinarum</i> L.)
Bibliographic record
Abstract
Sugarcane is an important sugar and cash crop grown throughout the world. Sugarcane quality and production is mostly affected by biotic and abiotic factors that caused low yield of sugarcane products throughout the world. Using biotechnology and genetic engineering as a complement for traditional breeding methods it is possible to introduce insect/pest, herbicide-tolerant traits into various crop species. It has been found that the absence of insect/pest, abiotic and herbicide tolerant genes in genetic pool of crop plant species makes traditional breeding programs difficult. The varieties that are productive and at the same time has resistance against certain pathogens and diseases, can improve yield. The development of biotic and abiotic resistant sugarcane varieties through transgenic technology will be cost effective in controlling all type of stresses which ultimately improve yield potential. The present review will provide its readers the opportunity to understand the methods of glyphosate tolerant and Bt resistant genes in sugarcane.
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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 | 0.001 |
| 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".