Association of Polyphenol Oxidase Activities with Molecular Markers and Yellow Rust Resistance in Diverse Bread Wheat Genotypes
Bibliographic record
Abstract
Polyphenol Oxidase (PPO) catalyses the undesirable browning of wheat products which is of significant concern in consumer acceptance perspectives. Another important yield-limiting cause for wheat crops is wheat rust (e.g., yellow rust), a source of great economic loss worldwide. The purpose of the current research was to screen conventional and synthetic bread wheat genotypes for their PPO activity and yellow rust resistance. Different genotypes differed significantly in total PPO activity and in their activities against different substrates (L-DOPA and Catechol). The synthetically derived bread wheat genotypes 1-279, showed the lowest (39.2 units/min/g) cumulative PPO activity. Ten genotypes each with the highest and lowest PPO activities were selected for testing their association with seven reported molecular markers. Intriguingly the PPO markers reported in literature could not clearly differentiate between contrasting cultivars. Association with yellow rust resistance was also investigated. Interestingly, the rust-resistant genotypes, including 1-263, Ch-43, 1-57 and Emat (all synthetic-derived), exhibited low PPO activity. The current study underpins that there is a need to search for more reliable PPO markers and to further validate association of low PPO activity with yellow rust.
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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 | 0.000 |
| 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".