Assessment of Genetic Diversity in Wheat (<i>Triticum aestivum</i> L.) under Elevated Yellow Rust Pressure
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Bibliographic record
Abstract
The research work was carried out at national agriculture research center Islamabad (NARC) and Pakistan council of scientific and industrial research (PCSIR) Peshawar. The research was comprised of biochemical characterization SDS page and PCA to estimate the genetic diversity. The cultivar were consisted of cultivated varieties, elite varieties and advance line of (30) genotypes. To absorb Fe, Cr, Ca, Mn, Zn, Pb, Cu, Na, K, protein, moisture, concentration. Sodium Dodeceylsulphate Poly Acraylamide Gel Electrophoresis of wheat genotypes was conducted. The data was collected and subjected to analysis of un weighted pair group method with arithmetic averages (UPGMA) with statistica software package 0.5. In multivariate data analysis have 11 variables which have maximum variability. The more variation was observed among Inqilab-91, Bars-2009, Shafaq-2006, NARC-2009, Wc-24, and Sahakar-95. To produce more diverse genotypes we should cross among these varieties.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 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