Estimation of Genetic relatedness among the germplasm accessions of Pearl millet [<i>Pennisetum glaucum</i> (L.) R. Br.]
Bibliographic record
Abstract
To assess the extent of diversity among the pearl millet accessions and to know the relationship among the accessions, the present study was carried out at Department of Millets, Tamil Nadu Agricultural University, Coimbatore with fifty genotypes representing diverse geographical origins of the world. Observations were recorded for the fourteen seed yield potential and its component traits in all the accessions. Hierarchial cluster analysis categorized the germplasm accessions in to twelve clusters indicating the presence of high levels of genetic diversity in the gene pool. Cluster II is the largest having 17 genotypes where most of them are the natives of Nigeria, Namibia, Burkina faso and India, while cluster X, XI and XII had one genotype each representing Nambibia, India and Mali, respectively. Clustering pattern of this study indicated that geographical diversity was not related with genetic diversity. The coefficient of similarity was too far between the genotypes 9618 and 18657 (9.99) followed by 6510 and 19361 (9.98) and IP 3616 and Raj 171 (9.95) for seed yield potential and its component traits, which showed that they are highly divergent among the fifty genotypes. The genotypes viz ., 6869, 15899, IP 3616, 10186, 18722, 11310, 14426, 12138 and 17407 had higher score for seed yield potential (7.0) and brix value (5.0) among the 50 genotypes, though they are grouped in different clusters. These genotypes also excelled well for one or more seed yield contributing traits which could be used as potential parents in hybridization programme for transferring the seed yield potential and related traits to get better hybrids/varieties.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".