Maize (Zea mays) Cultivated in Concrectionary Petric Plinthosol
Bibliographic record
Abstract
Soil with ironstone concretions, despite presenting disadvantages from the agronomic point of view, don’t restrain its use in agriculture, livestock or forestry. However, more deeply and clear information about the behavior of crops of agricultural interest cultivated in this type of soil is absent. Due to the observation of agricultural stands with crops in this type of soil, the hypothesis that plinthite ironstone concretions in the soil interfered negatively in the development, at least in early stages, on crops of agro-economic interest. The objective was to verify the growth and development of maize (Zea mays) cultivated in soil with the presence of plinthite ironstone concretions and in the absence of them. Concretionary Petric Plinthosol were collected in the 0-0.20 m layer and part of the soil was sieved so that concretions larger than 3.10 mm in diameter were removed, thus leaving two treatments, soil with and without plinthite ironstone concretions. The experiment was then carried out and morphological and gas exchange evaluations were performed during their phenological phase. Maize grown in soil without ironstone concretions showed higher growth when compared to maize grown in soil with ironstone concretions, as well variation on gas exchange evaluation and leaf chlorophyll index. There were differences in the root and total dry matter values with more expressive value of the crops cultivated in soil without ironstone concretions. Therefore, it is concluded that plinthite ironstone concretions interfere in the development and growth of maize crop.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".