Genotypic Variationin Dry Weight and Nitrogen Concentration of Wheat Plant Parts; Relations to Grain Yield and Grain Protein Concentration
Bibliographic record
Abstract
This study aimed at investigating genotypic variability in nitrogen (N) concentration and dry weight of wheat plant parts and their relation with grain yield and protein concentration. Sixteen Nordic and three Pakistani wheat genotypes were grown in controlled climate chambers. Plant parts such as shoot, roots and grains were collected after harvesting, weighed and N concentration was determined. The results showed a large genetic variation for dry weight and N concentration in the various plant parts. Grain weight (GW) was negatively correlated with biomass in the vegetative parts of the plant and with grain N concentration (GNC). A spread distribution was found among the investigated genotypes related with the correlation between different investigated parameters. From a breeding perspective, the genotypes APU and Møystad were of interest due to both a relatively high GW and GNC. Lanor, Saffran, Auqab and Lavett were interesting genotypes, the two first ones combining high GW, and the two last ones combining high GNC, with low RNC and high RW. By combining information of dry weight and N concentration in various plant parts of a genotype, options are increased for a successful breeding of environmentally sound cultivars with high grain yield and high grain protein concentration.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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 teacher head, 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".