Phenotypic Characterization of Local Date Palm Cultivars at Jericho in Palestinian Jordan Valley District
Bibliographic record
Abstract
Background: This study aimed to evaluate the phenotypic diversity of Date Palm cultivars grown in Jericho region in Palestine, in order to identify and preserve the most economically and environmentally feasible cultivars. Methods: Thirty-five samples were collected from three historical Palm stations in Jericho during the harvest season in September 2018 and repeated in September 2019. Twenty-two morphological markers were analyzed separately on vegetative parts using multivariate analysis. Findings: The results showed high morphological variability among local Date Palm cultivars. Data analysis using principal component analysis revealed that morphological characteristics of fruits and leaves could be used for identification and description of Date Palm cultivars. The results showed a wide variation for different degrees of similarity when local cultivars were separated from introduced one. Significant variation was found among the 35 cultivars for most studied traits, and showed the superiority of the fruiting characteristics in NARC1, NARC4, NARC5, DH4 and DH5 cultivars. These local varieties have a good fruit width range from 19.2 to 20.3 mm; fruit length 47.01 mm; fruit size more than 8 cm3; and fruit weight and flesh weight, 9.8g and 8.87g. Novelty: Up to our knowledge, this study is the first of its kind in Palestine where the local Date Palm cultivars in Jericho area were assisted by studying the morphological characteristics of fruits and leaves. The data obtained could help to create a phenotypic database and use the most discriminants descriptors found in this study for a large-scale phenotyping. Keywords: Date Palm; Cultivar; Phenotypic diversity; Morphological variability; Jericho
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".