The characterization of morphological and agronomic traits of some wild type sunflower (Helianthus L. spp.) genotypes
Bibliographic record
Abstract
The study was carried out in 2013 and 2014 to determine the agronomic and morphological characteristics of different wild type sunflower (Helianthus L. spp.) genotypes at Uludağ University Faculty of Agronomy’s field and green house conditions. The 45 wild sunflower genotypes supplied from different sources (USDA-America; Germany, Canada) were used in the study. One month germinated seedlings with mechanical drawing application in a 1:1 portion soil and peat mixture violin were grown in field conditions. Some of the agronomic (plant height, the number of branches, the number of leaves, the main head diameter, stem thickness, length of branches) and morphological (Ray florets, Head angle, Head shape, Flowering uniformity, Uniformity of maturity, Bract shape, Pollen fertility, Pubescence at general appearance, Head flower color, Petiole position, Type of branching) characteristics were observed and measured in two years. The agronomic variation on the observed characters was found highly variable within wild sunflower genotypes. The plant height, the number of branches, the number of leaves, the main head diameter, stem thickness, length of branches values changed respectively between 39 and 367 cm, 6 and 52, 3 and 39, 0.5 and 3.40 cm, 0.50 and 2.91 cm, 12 and 194 cm. There were no clear differences within observed morphological characters. Contact: Prof. Dr. Nazan DAĞÜSTÜ, Uludag University, Faculty of Agriculture, Department of Field Crops, 16059 Görükle Campus, Bursa TURKEY Tel: +90 224 2941518 E-mail:ndagustu@uludag.edu.tr …<!-- --> Read more
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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 | 0.001 | 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 | 0.000 |
| 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".