Corn Crop Performance in Different Levels of Defoliation
Bibliographic record
Abstract
The aim of this work was to evaluate the effect of the yield and morphological components of the maize crop according to different levels of defoliation in the phenological stages of the crop. The experimental design was a randomized block with 7 treatments and 4 replicates. The treatments were: control without defoliation (SD), removal of two leaves (2L-V4) and four leaves (4L-V4) in the V4 stage , removal of the leaves of the lower third (LT-VT), removal of the middle third (MT-VT), removal of the upper third (UT-VT) and total removal (SF-VT) of the leaves in the VT stage. Plant height and spike insertion, number of grains, number of rows, grains per rows, one thousand grain mass and yield were assessed. Plants with total leaf removal had the lowest rates in all aspects evaluated. The number of rows, kernels per row and kernel per spike showed little or no variation in the treatments with partial defoliation. The treatments with removal at the middle and upper third had the lowest values for the analyzed variables when compared to the plants with partial defoliation. The results of this work indicate that the defoliation process can damage the corn yield performance.
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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".