Genetic variation among lentil (<i>Lens culinaris</i> Medik) landraces from Southeast Turkey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The molecular characterization of cultivated plant genepools is of foremost importance for germplasm utilization in plant breeding. However, no comprehensive genetic fingerprinting of Turkish lentil landraces existed so far. To overcome this gap, 38 lentil landraces from southeast Turkey, together with six commercial varieties, were molecularly characterized using inter simple sequence repeat (ISSR) and amplified fragment length polymorphism (AFLP) molecular markers. The ISSR analysis, performed with 14 primers, yielded 105 polymorphic bands and the AFLP analysis, carried out with six primer combinations, amplified 119 polymorphic fragments. Even though the AFLP produced more bands per primer combinations, the ISSR detected more polymorphisms. Unweighted pair‐group method with arithmetic means dendrograms based on Jaccard similarities obtained from three data sets: (i) ISSR, (ii) AFLP and (iii) combined ISSR and AFLP data, were similar and separated the landraces into two main groups. Turkish lentil landraces exhibited considerable genetic diversity. One landrace from Karacadag/Diyarbakir region was significantly different from the rest of the germplasm analysed. Jaccard distances highlighted sharp differences among landraces over short geographic distances. The knowledge of regional differentiation has practical utility in the management of germplasm and in breeding programmes.
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.
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 | 0.000 | 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) | 0.000 | 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