Evaluation of Suitable Substrate for Seedling Tuber Production by True Potato Seed through Nursery Raising
Bibliographic record
Abstract
To determine the suitable substrate, five growth substrates viz. Soil + Sand, Soil + FYM, Soil + Sand + FYM, Soil + PM (Poultry manure) and Soil + Sand + PM were used to grow the three true potato seed (TPS) genotypes viz. TPS-9802, TPS-9804 and TPS-9805. Results of the interactive effect of genotypes x substrates on plant and tuber traits concluded that maximum germination (90.5 %), plant height (46.3 cm), micro tubers (212.7), small tubers (45.7), medium tubers (28.2), large tubers (10.2) and total tubers (296.8), maximum weight of micro (1491 g), small tubers (757.6 g), medium tubers (828.9 g), large tubers (483.7 g) and total tuber weight (3561) per unit area (1m-2) and total tuber yield (35.6 t ha-1) were found in TPS-9804 grown in the substrate of soil+sand+FYM. However TPS-9805 yielded (32.5 t ha-1) and ranked 2nd with same substrate. Hence, it is recommended for raising TPS nursery.
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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".