Depth-Wise Distribution of Boron in Soil Under Groundnut-Cabbage Cropping Sequence
Bibliographic record
Abstract
The present study aimed to assess the depth-wise distribution of boron (B) fractions in soil under six years B application schedues in groundnut-cabbage cropping system, conducted during the year 2014-2015 to 2019-2020 at Anand Agricultural University, Anand, Gujarat, India. The surface as well as sub-surface soil samples (0-15, 15-30, 30-45, 45-60, 60-75 cm) were collected from each plot. The treatments involving combinations of three B application frequencies (application only in the first year, alternate year and every year) and four B application rate (0.5, 1.0, 1.5 and 2.0 kg B ha-1) with a total treatment combinations of 13 including one control. The B was applied to the soil as borax to groundnut crop only. The effects of B application schedules on B fractions, i.e., readily soluble B, specifically adsorbed B, oxide bound B, organically bound B and residual B were significant under different soil depths. The amount of B fractions was increased with the level of B application. The surface soil (0-15 cm) had the greatest B concentration across all fractions, and the amount of B applied. While the residual B fraction increased with soil depth, and the readily soluble B, particularly adsorbed B and oxide bound B fractions dropped.
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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) | 0.000 | 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".