Nitrogen remobilization and post-anthesis nitrogen uptake in relation to elevated grain protein concentration in durum wheat
Bibliographic record
Abstract
Suprayogi, Y., Clarke, J. M., Bueckert, R., Clarke, F. R. and Pozniak, C. J. 2011. Nitrogen remobilization and post-anthesis nitrogen uptake in relation to elevated grain protein concentration in durum wheat. Can. J. Plant Sci. 91: 273-282. Grain protein concentration is an important end-use suitability factor in durum wheat [Triticum turgidum L. ssp. durum (Desf.) Husn.] through its effect on cooking quality. Genetic differences in grain protein concentration are exploited in Canadian durum breeding programs, but the physiological basis of these differences remains unknown. Eighteen durum genotypes varying in grain protein concentration were grown at three pre-selected Saskatchewan locations that differ for soil nitrogen (N). These included check cultivars and six low- and six high-protein doubled haploid (DH) selections from the cross DT695×Strongfield (low- by high-protein). Plants were sampled at the anthesis, milk, dough and physiological maturity developmental stages, and dry matter and N concentration of plant parts were determined. The high-protein selections expressed 0.6 to 1.1 percentage units higher grain protein concentration than the low selections over the three environments (P<0.05), but yielded less grain than the low selections in two of the three environments. Remobilization of N from vegetative organs to grain varied with environment and accounted for 73 to 98% of grain N, the remainder made up from post-anthesis N uptake. The high-protein selections showed greater post-anthesis N uptake than the low selections in two of three environments (P<0.01), but lower N remobilization from vegetative organs to the grain than the low selections in the same environments (P<0.05). Subtle differences in N and dry matter partitioning accounted for the observed differences in grain protein concentration.
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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 | 0.000 | 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 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".