qPCR assay targeting <i>Bradyrhizobium japonicum</i> shows that row spacing and soybean density affects <i>Bradyrhizobium</i> population
Bibliographic record
Abstract
The ability for a soybean plant to be efficiently nodulated when grown as a crop is dependent on the number of effective Bradyrhizobium japonicum that can be found in close proximity to the developing seedling shortly after planting. In Manitoba, the growing of soybean as a crop has increased from less than 500 000 acres in 2008 to over 2.3 million acres in 2017. Since the large increase in soybean production is relatively recent, populations of B. japonicum have not yet developed. In response to this, we developed a primer pair that can identify B. japonicum, and be used to determine the titre found in field soil. Their utility was demonstrated by being used to determine whether row spacing of soybean affects B. japonicum populations, as well as to follow B. japonicum populations in a soybean field over the course of a field season. The data show that plant density can affect B. japonicum populations. Moreover, evidence is presented that suggests plant development affects overall B. japonicum populations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".