Phenotypic Characterization of Local Date Palm Cultivars at Jericho in Palestinian Jordan Valley District
Why this work is in the frame
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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
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it