AN ASSESSMENT OF THE GENETIC DIVERSITY IN SELECTED WHEAT LINES USING MOLECULAR MARKERS AND PCABASED CLUSTER ANALYSIS
Bibliographic record
Abstract
A comprehensive germplasm evaluation study of wheat elite lines was conducted at Wheat Research Institute Faisalabad-Pakistan to identify new sources of leaf, stripe and stem rust resistance and high yield potential during crop seasons 2015-2017.The parent lines were selected on the basis of phenotypic characteristics and slow rusting history for race non-specific resistance genes by the selection of desirable parents used in filial generation (F1-F5).In primary evaluation, 112 lines were selected on the basis of rust reaction and high phenotypic uniformity for further testing against rust resistance and high yield potential.Among these, 32 lines exhibited Lr34/Yr18, 22 lines showed Lr46/Yr29, and 30 lines indicated the combination of Sr2/Yr30.Principal component analysis (PCA) based cluster analysis exhibited that, cluster I and III had clear separation compared to cluster II, IV and V.It was concluded that seven elite lines i.e.V-70003, V-70034, V-70054, V-70070, V-70085, V-70103 and V-70104 exhibited both the linkages of three slow rusting genes (Lr34/Yr18, Lr46/Yr29 and Sr2/Yr30) and high yield characteristics and are expected to contribute toward food security at national and global levels.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".