Genome size in <i>Arachis duranensis</i>: a critical study
Bibliographic record
Abstract
Arachis duranensis is a diploid wild relative of the tetraploid cultivated peanut Arachis hypogaea. The literature indicates two 2C genomic DNA mean values (genome size) for A. duranensis, 4.92 and 5.64 pg, and intraspecific variation of up to 11% negatively correlated with altitude above sea level of the collection sites has been reported. Our recent investigations of Arachis species have shown that unrecognized technical problems with peanut material may have influenced previous genome-size data and rendered them open to critical comments. In the present study, 20 accessions of A. duranensis were investigated by means of DNA flow cytometry (propidium iodide staining) and several of these also by Feulgen DNA image analysis. Pisum sativum was used as the internal standard (2C = 8.84 pg). 2C values in A. duranensis were about half those described previously and varied between 2.49 and 2.87 pg (flow cytometry). This variation was statistically significant and reproducible. There was a negative correlation of genome size with latitude and altitude above sea level of the collection sites. Such a correlation had been already found in one of the previous studies. However, the incongruences between the absolute DNA content values obtained in the present investigation and those in the literature point to the importance of carrying out methodological studies on best practice in DNA-content determinations in plants.
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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 | 0.001 |
| 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".