Short‐season soybean yield and protein unresponsive to starter nitrogen fertilizer
Bibliographic record
Abstract
Abstract The Canadian Prairies have become the new northern edge for soybean [ Glycine max (L.) Merr.] production in North America. In this short growing season production area, it has been speculated that application of nitrogen (N) fertilizer at planting could increase soybean growth, yield, and grain protein. To test this hypothesis, field experiments were conducted to determine if starter N fertilizer rates of 0, 17, 34, 50, 67, and 84 kg N ha −1 applied as broadcast and incorporated urea before planting would have an effect on biomass, yield, grain protein and oil, and biological N fixation (BNF) for a Maturity Group 00 soybean cultivar grown in Manitoba, Canada. There was no yield response to starter N fertilizer in 2 of the 3 yr of the study. There were no differences in biomass, grain protein, or oil content in response to starter N fertilizer. Nitrogen uptake at the full bloom stage (R2) increased at the highest N rate tested. Percent BNF as measured by relative ureide N (RUN) content in the N fertilized treatments was reduced in 2 of 3 yr relative to the control. The contributions of BNF, soil N, and fertilizer N to total crop uptake was influenced by growing conditions during the study period. The results of this study do not support the recommendation that starter N fertilizer be used as a way to increase soybean yield and grain protein in the short season soybean production areas of the Canadian Prairies.
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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 | 0.000 | 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 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".