Development of Disease and Growth on Six Scion/Rootstock Combinations of Citrus Seedlings under Huanglongbing Pressure
Bibliographic record
Abstract
Huanglongbing (HLB) disease is the most serious threat to citrus production in Indonesia. Commonly, the planted rootstocks/scion varieties expressed severely damaged to HLB. This research aimed to study effects of six citrus rootstock/scion combination of varieties on intensity of HLB disease, presence of Candidatus Liberibacter asiaticus (CLas), and growth of the seedlings. The grafting combination of three rootstock varieties: Japansche citroen (Citrus limonia Osbeck), Volkamer lemon (C. volkameriana V. Ten & Pasq), ‘Salam’ (local name), and two scions varieties: ‘Siem Pontianak’ (C. nobilis Lour) and ‘Keprok Tejakula’. ‘Keprok Tejakula’ (C. reticulata Blanco) were used for examination the effect rootstock/scion combination to HLB. Based on symptoms, the onset of disease intensity was observed in eight months after CLas inoculation, except on ‘Salam’ rootstock. The status of CLas inoculation, rootstock/scions varieties and the duration of plant infection influenced to CLas titers. There were inconsistency between HLB symptoms and CLas titers. According to measurement of plant height, and diameter of rootstocks and scion stem, the plant growth of Volkamer lemon rootstock grafted with ‘Siam Purworejo’ scion or ‘Keprok Tejakula’ scion was better than grafted with Japansche citroen and ‘Salam’ rootstocks. Japansche citroen rootstock was more susceptible to HLB than Volkamer lemon and ‘Salam’ rootstocks. Combination of rootstock/scion varieties affected plant tolerance against HLB.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".