Agro-biochemical Traits of Sugarcane Varieties Grown in the Brazilian Semi Arid Region
Bibliographic record
Abstract
The objective of this research was to evaluate the productive response associate to biochemical indicators and oxidative enzymes activities involved in the water deficit resistance in eight sugarcane varieties (RB951541, RB931011, RB962962, RB867515, RB763710, RB72454, RB863129, and RB92579) grown in the semi-arid regions of Brazil. Compared to all other varieties, RB763710 was superior in the number of stems m-1, mean height, and stem diameter, production of whole plant fresh biomass and stem. When biochemical responses were obtained, all sugarcane varieties had a statistically similar solubility and maturity, regardless of the specific maturity rate of each cultivar. The increase in soluble carbohydrate levels occurred in the most stress-sensitive varieties and the variety RB763710 had the highest proline content. A lower general correlation was observed between the production of fresh biomass of stalks and the enzymatic activity. Among the varieties, RB763710 had the highest enzymatic activities which possibly provided greater tolerance to water stress due to the ability to maintain the redox state in the leaves of plants under water deficit. The study of the adaptation mechanisms of sugarcane against water deficit has contributed to the development and diffusion of genotypes tolerant to rainfed conditions, thus contributing to increased productivity even under adverse conditions, allowing maintenance and optimization of the production chains of sugarcane in rainfed regions.
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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 | 0.001 | 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 | 0.000 |
| 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 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".