Effect of Seed Treatment and Growing Condition on the Germination and Survivality of Custard Apple (Annona squamosa L.) Seedlings
Bibliographic record
Abstract
The study was carried out during the year 2018-2019 at the Fruit Research Station Imalia and in laboratory of Department of Horticulture, College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.). The experiment was laid out in Factorial Complete Randomized Design (FCRD) replicated thrice. The experiment consist of two factor viz. A- Three growing condition (G3 - Poly house, G2-net house, G1-Open condition) and B- Six seed treatment (S1 - Water soaking, S2-Cowurine, S3-GA3, S4-KNO3, S5-Thiourea, S6-Sodium Thiosulphate) having 18 treatment combinations. Observation were recorded on various aspects like days taken to 1st germination, days taken to 50 % germination, height of seedling, girth of stem, number of leaves, fresh weight of shoot and root, dry weight of shoot and root, root length, total length of seedling, number of roots/seedling, survival percent of seedling. On the basis of present investigation, it is concluded that among the various seed treatments and growing condition, the growing condition of poly house and seed treatment with GA3 500 ppm have been proved superior with respect to germination, growth and survival of seedling. Among various treatment combinations, G3S3 treatment combination (Poly house and GA3 500ppm) found best over the rest of the treatment combinations with respect to germination parameters like minimum days taken to 1st germination (25.33) days taken to 50% germination (45.66), growth parameter like maximum - height of shoots (25.13cm), girth of stem (3.91mm) and number of leaves 18.91 at 160 DAS respectively, root length(15.13cm), number of roots/seedling(45.12), survival percentage of seedling (89.34%).The G3S4 (Polyhouse and KNO3) was found next best treatment combination in this respect.
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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 | 0.001 |
| 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".