Nitrogen fixation, hydrogen production and N<sub>2</sub>O emissions
Bibliographic record
Abstract
Flynn, B., Scott, N. and Dong, Z. 2014. Nitrogen fixation, hydrogen production and N2O emissions. Can. J. Plant Sci. 94: 1037–1041. H2 is a by-product of the nitrogenase reaction. Exposure to H2 is linked to increased N2O production, increased CO2 fixation and plant growth promotion in soil. The effects of H2 exposure on soil were observed using controlled H2 gas treatments and field trials with legumes. In field trials, increased N2O production was observed in soil adjacent to legume nodules and inoculation of H2-oxidizing isolates led to increased N2O emissions in corn fields. Many H2-oxidizing isolates tested positive for key denitrification genes, indicating a connection between H2 uptake and N2O emissions. H2 treatment significantly increased copy number of the nitrite reductase (nirK) gene suggesting increased denitrification as the source of N2O. There was also a significant increase in copy number and expression of the RubisCO (cbbL) gene in soil. H2-oxidizing bacterial isolates (JM63 and JM162a) were found to promote plant growth, increasing tiller number and yield in spring wheat and barley. Combined results of T-RFLP and 16S rDNA clone libraries analysis revealed bacterial community structure changes in response to H2 treatment, primarily with increases to the Gammaproteobacteria and Betaproteobacteria groups. The results of these studies help provide a better understanding of the soil bacterial community's responses to H2 exposure and may lead to the development of a commercially viable plant growth promoting inoculant.
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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".