VEGETATIVE GROWTH, FRUIT WEIGHT, YIELD AND LEAF MINERAL CONTENT OF PLUM GROWN ON ACIDIC SOIL
Bibliographic record
Abstract
The experiment was established at a spacing of 4 m × 2 m. Ten plum cultivars were grafted on the vegetative rootstocks ‘Belosljiva’ (Prunus domestica L.). Until the fifth and the sixth year after planting, the vegetative growth, fruit weight (FW), and yield properties were affected by the cultivar. The FW was the highest in ‘Cacanska Rana’ (‘CRa’). ‘Cacanska Najbolja’ (‘CNa’) had the highest one-year-old shoot length (SL). ‘Stanley’ (‘STa’) was the most productive cultivar in 2006 and ‘Cacanska Rodna’ (‘CRo’) in 2007. Yield efficiency (YE) was the highest for ‘CRo’. Significant differences were observed among cultivars for leaf macronutrient [nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg)] and micronutrients [iron (Fe), manganese (Mn), zinc (Zn), boron (B)] levels at 120 days after fool bloom (DAFB). According to the ΣDOP index, ‘CRa’ and ‘STa’ showed the best balanced macronutrient and micronutrient values, respectively. The leaf Mn, Fe and N content was significantly correlated with SL, FW, and YE.
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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".