Growth and Structural Development of Tectona grandis in Different Cultivation Systems in Brazil
Bibliographic record
Abstract
The objective of the research was to assess the growth and structural changes of clonal and seed-origin teak trees in monoculture and agroforestry systems. The experiment was established in a randomized complete block design with six replicates. Eight treatments were etablished consisting of combinations of two propagation types (clonal and seed-origin), two types of cultivation systems until the age of 24 months (monoculture and taungya system with maize) and two types of cultivation system after 24 months of age (monoculture and silvopastoral systems). The data were analyzed by modeling the growth and yield, diameter distribution and diameter class ingrowth. The technical age of thinning was then determined by the percent entries method. Independent of the cultivation system, clonal trees presented greater tree height and diameter than seed-origin trees. Regarding the cultivation systems, systems ending in a monoculture phase presented greater tree height and diameter than systems ending in a silvopastoral phase. In terms of structure, represented by the evolution of diameter distribution, seed-origin trees and systems ending in a silvopastural phase resulted in flatter and broader distributions than clonal trees and final monoculture phase. Overall, the technical age of the first thinning varied from 6 to 9 years, being earlier for clonal trees in monoculture and later for seed-origin trees in systems ending in a silvopastoral phase. The slower growth and greater variability in silvopastoral systems with seed-origin teak tree can be attributed to the genetic variability of the trees associated competition with the brachiaria grass, which also made the plants more susceptible to the attack of pests.
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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 | 0.001 |
| 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".