Evaluation of Compatibility, Growth Characteristics, and Yield of Tomato Grafted on Potato (‘Pomato’)
Bibliographic record
Abstract
The aim of this study was to evaluate the grafting compatibility of different varieties of tomato (Solanum lycopersicum L.) scions on potato (Solanum tuberosum L.) rootstocks to develop a ‘pomato’ plant. In this study three potato varieties; Diamant (P1), Cardinal (P2) and Asterix (P3), and two tomato varieties; Bangladesh Agricultural Research Institute (BARI) tomato-2 (T1) and BARI tomato-11 (T2) were used to make the grafted combinations T1P1, T1P2, T1P3, T2P1, T2P2 and T2P3, designated G1, G2, G3, G4, G5, and G6, respectively. Tomato seedlings aged 25 (S1) and 35 days (S2) were selected as scions. Graft compatibility was analyzed based on the growth and yield of the pomato plants. The results revealed that varieties and scion age had a significant effect on the pomato fruit and tuber yield. The initiation of flowering was not affected by the various graft combinations; however, plant height, leaf number, branch number, number of clusters per plant, number of fruit per cluster, number of fruit per plant, fruit length, fruit diameter, single fruit weight and total fruit yield per plant were higher in G5S1 among the combinations. On the other hand, the number of tubers per plant, single tuber weight, and tuber yield per plant were highest for a few combinations. Overall, it was concluded that Cardinal (P2) and Asterix (P3) potato were the most compatible for grafting with BARI tomato-11 (T2) at the scion age of 25 days (S1), based on vegetative growth and fruit and tuber yield of pomato plants.
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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".