Analysis of Leaf Pigments of SJ-02 Cocoa Seedlings Under Different Irrigation Depths and Cultivation Containers
Bibliographic record
Abstract
The analysis of leaf pigments helps to understand the behavior of plant species under stress conditions. Thus, the objective of this study was to evaluate the amount of leaf pigments in SJ-02 cocoa seedlings under different irrigation depths and cultivation containers. The experiment took place at the Federal Institute of Espírito Santo, Campus Itapina, in Colatina, a city located in the northwest of the State of Espírito Santo, Brazil. A total of 144 seedlings were used, distributed in a completely randomized design, in a factorial scheme (6 × 3), where the first factor consisted of six different irrigation depths: 4; 6; 8; 10; 12 and 14 mm d-1 and the second one consisted of three different cultivation containers: polypropylene bags with dimensions of 10 × 20, 15 × 25 and 13 × 35, totalling 18 treatments, with eight repetitions. Seventy-four days after sowing, total chlorophyll content, flavonoid index and anthocyanin index were evaluated. There was no interaction between the factors studied. The 7 mm d-1 irrigation depth is the most suitable because it is practical in water management. Significance was not observed between the different cultivation containers.
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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 | 0.001 |
| 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 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".