Effect of chemical and organic fertilizer levels on growth and yield of sweet sorghum
Bibliographic record
Abstract
Canada Western Red Spring (CWRS) wheat lines (Pasqua*2/ND643) containing the high protein genes of Triticum turgidum var. dicoccoides were derived from a cross between cv. Pasqua and the line ND643, which served as the source of the high protein T.t. dicoccoides genes. Polymerized Chain Reaction (PCR) based DNA test indicated that 50% of the progeny lines carried specific T.t. dicoccoides genes. Wheat lines were grown over a three year period at five test locations. Wheat lines containing the T.t. dicoccoldes high protein genes averaged 0.7–1.0% higher in grain and flour protein content compared to lines without the high protein genes. Absolute amounts of monomeric and polymeric protein increased proportionally with the increase in flour protein content. The proportion of monomeric and polymeric protein was independent of the test location and of the presence of the T.t. dicoccoides genes. Location affected grain and flour protein content and all measured quality parameters, whereas the major effect of the T.t. dicoccoides genes was on grain and flour protein content. The dough rheological and baking characteristics of wheat lines with the T.t. dicoccoides high protein genes were equivalent to CWRS wheat.
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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 | 0.001 |
| 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) | 0.002 | 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".