Assessment of Genetic Divergence in among Yard Long Bean (<i>Vigna unguiculata</i> subsp. <i>sesquipedalis</i> [L.]) Genotypes
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
Forty four genotypes of yard long bean ( Vigna unguiculata subsp. sesquipedalis (L.) Verd.) were investigated to understand the extent of genetic diversity through twelve quantitative traits. Mahalanobis’s D 2 analysis established the presence of wide genetic diversity among these genotypes by the formation of 3 clusters. Cluster I had the maximum number of genotypes i.e 34 and cluster III had only four genotypes. Intra cluster distance analysis revealed that the minimum intra cluster distance was observed in the cluster I. The inter-cluster distance (D) was found to be the maximum between the clusters II and III and the same was minimum between clusters I and II. The results indicated that 100 seed weight contributed maximum to the total divergence followed by pod yield per plant. Intercrossing among the genotypes belonging to cluster II, V and IV was suggested to develop high yielding varieties with other desirable characters or may be used as potential donors for future hybridization programme to develop superior yard long bean variety with good consumer preference and high pod yield.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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