NUCLEAR DNA CONTENT ANALYSIS OF FOUR CULTIVATED SPECIES OF YAMS (DIOSCOREA SPP.) FROM CAMEROON
Bibliographic record
Abstract
Yam ( Dioscorea spp.) is an important food source in Africa, but diseases and storage pests hinder the African farmers to achieve high yields during the harvest. One important limitation to the genetic breeding of yam is the relatively unknown ploidy level variation within and among species. The objective of this study was to determine the nuclear DNA content of 59 accessions representing four cultivated Dioscorea species collected from three regions of Cameroon (Adamawa, Centre and Southwest) using flow cytometry with propidium iodide staining. Our findings suggested the variation of the genome size both within and among the yams species. Nuclear DNA content (mean 2C-value) in studied yam collection ranging from 0.72 ± 0.013 pg in D. dumetorum to 2.801 ± 0.068 pg in D. cayenensis. The accessions could be divided into four different categories according to their, nuclear DNA content suggestive of four different ploidy levels. Ploidy variation was observed within all species with the exception of D. dumetorum that is likely diploid. This study contributes to a better understanding of the genome characteristics of yam species from Cameroon and may help to the genetic improvement of this important crop in the future.
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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 | 0.001 |
| 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".