Effects of GA3 dipping and spraying with KT-30 on growth yield of three types of potato ( Solanum tuberosum L.)
Bibliographic record
Abstract
The study was conducted at the Horticulture Research Station of the College of Agriculture / Tikrit University for the Autumn season 2019 to investigate the effects of dipping with gibberellin and spraying with KT-30 with three levels for each other (0, 5, 10) mg. L-1 on some characteristics of vegetative growth, yield and productivity of three potato cultivars (Barcelona, Laperla, Montreal). Split-split plot design was applied within a randomized complete block design (RCBD) with three replications . Varieties were assigned in the main plots Dipping with gibberellic acid were assigned in the Sub - plots while spraying with KT-30 were assigned in the Sub-Sub plots. Results showed that dipping with gibberellin had a significant effect on stem number and leaf area, while the treatment without dipping with gibberellin gave a significant increment of plant height. Spraying with growth regulator KT-30 resulted in a significant increase in plant height, number of stems and leaf area.Barcelona cultivar gave the significantly highest plants, while Montreal showed a significant increment of stems counts, while the variety Laperla gave a significant increase of leaf area. On the regard of yield, gibberellin acid showed no significant effect. While zero KT-30 gave significant differences in both plant and total yields Montreal variety, on the other side, gave significant increase in plant and total yield over the other two varieties. The bifurcation double and triple manifested significant effects on plant height,number of stems and leaf area. Bifurcation double showed significant differences in plant yield, number of tubers and the total yield, except for the bifurcation between varieties and dipping with gibberellin, that manifested no significant differences on yield, as well as the bifurcation between dipping with gibberellin and spraying with KT-30 which had significant differences on number of tubers. All yield characteristics were significantly affected by triple interference.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".