Nitrogen allocation in barley: Relationships between amino acid transport and storage protein synthesis during grain filling
Bibliographic record
Abstract
Egle, K., Beschow, H. and Merbach, W. 2015. Nitrogen allocation in barley: Relationships between amino acid transport and storage protein synthesis during grain filling. Can. J. Plant Sci. 95: 451–459. A better knowledge of the source-sink relationships relating to nitrogen allocation within plant and synthesis of storage protein in grains could be of particular importance contributing to better define grain sink capacity for improving nitrogen use efficiency by plant species. The objectives of this study were to assess N partitioning in barley cv ‘Barke’ prior and after anthesis, and to investigate whether the synthesis of the major storage protein (hordein) is an indicator of the sink strength of the developing grain for nitrogenous compounds. Pot experiments were performed using N fertilizer, labelled N (15N fertilizer) or feeding of labelled proteinogenic and non-proteinogenic amino acids (15N-L-α-alanine: 15N-α-Ala or 15N-α-aminoisobutyric acid: 15N-α-Aib, respectively). Results showed that N filling of spike occurred from N remobilized predominantly from leaves and stem, and from current N uptake. Post-anthesis applied 15N was taken up and predominantly transported into spike. Experiment with feeding of labelled amino acids demonstrated that most of the 15N from α-Ala and α-Aib was transferred to grains, but that more (about 37% versus 24%) was retained in the fed leaf when 15N was applied in the form of α-Aib. The strongest effect was observed in partitioning between N fractions in grains: hordein acted as a main reservoir for 15N-α-Ala while 15N-α-Aib predominantly remained in NaCl-extractable fractions (non-protein nitrogen and salt-soluble proteins). The biosynthesis of hordein in grains did not seem to be exclusively the potential sink for nitrogenous compounds but could enhance the transport of amino acids into the grain by the instantaneous incorporation of imported amino acids into hordein.
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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) | 0.001 | 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".