Influence of Nitrogen Fertilization on Multi‐Cut Forage Sorghum–Sudangrass Yield and Nitrogen Use
Bibliographic record
Abstract
Forage sorghum–sudangrass [ Sorghum bicolor (L.) Moench] is a relatively new crop to eastern Canada and the effects of additions of fertilizer N on yield, N accumulation, and N use efficiency are not available for this region. In 1998, 1999, and 2000 the response of forage sorghum–sudangrass to additions of fertilizer N rates (0, 50, 100, 150, 200, and 250 kg N ha −1 ) either applied as a single sidedress application or split into two sidedress applications was evaluated on a Fox loamy sand (Psammentic Hapludalf). Although timing of N application had little effect on DM production, splitting the N application into two equal applications may be of benefit by enhancing the NUE and ANR of individual cuts. Maximum yield was estimated at 5.95 Mg ha −1 at an N rate of 125 kg N ha −1 and the most economic rates of N ranged from 83 to 107 kg N ha −1 dependent on the cost of N fertilizer and value of hay. Nitrogen concentration increased linearly with increasing N application and the maximum N accumulation was 161 kg N ha −1 at an N rate of 196 kg N ha −1 . Total N use efficiency and apparent N recovery decreased with increasing N rates ranging from 36 to 11 kg DM kg −1 and 90 to 24%, respectively. Optimum yield and N efficiency occurred when 100 kg N ha −1 was applied as a split application. Producers in southern Ontario require N fertilizer additions to optimize sorghum–sudangrass yields but need to avoid overfertilization with N to maximize N use efficiency and apparent N recovery.
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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) | 0.000 | 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".