Nitrogen rate and timing considerations on yield and physiological parameters of maize canopy.
Bibliographic record
Abstract
One year corn field experiment was conducted at a research farm of Agriculture and Agri-Food Canada,located in L'Acadie,Quebec,Canada.The experiment was a completely randomized block design with five N treatments and four replications.The five N treatments received N 0,20,45,113 and 225 kg/ha(N 45 kg/ha was applied at sowing,and N 180 kg/ha at 10 days after sowing),respectively,at sowing,and N 0,93,68,0 and 0 kg/ha,respectively,at side-dressing,i.e.N0,N20+93,N45+68,N113,and SAT225.Corn density is 79000 plants/ha,and the cultivar is Pioneer 38B84.The results show that SPAD reading,PN,LAI,aboveground dry biomass,canopy chlorophyll density(SPAD×LAI) and canopy photosynthetic capacity(PN×LAI) are increased with basal N rates increasing before side-dressing,while Dualex reading is decreased.Compared to N113,SPAD readings in the N20+93 and N45+68 treatments are significantly increased.The split N applications have no significant influences on Dualex reading and PN.The LAI,aboveground dry biomass,SPAD×LAI and PN×LAI of N20+93 and N45+68 are significantly lower,but the grain yields are significantly higher than those of N113.There are no significant differences in corn grain yield between N20+93 and N45+68,however,the N deficiency is appeared earlier in N20+93 than in N45+68.No significant differences between N113,N20+93 or N45+68,on one hand,and SAT225,on the other hand,are observed in SPAD reading,Dualex reading,PN,LAI,aboveground dry biomass,SPAD×LAI and PN×LAI at 25-60 days after emergence,while corn grain yields of N113,N20+93 and N45+68 are significantly lower than that of SAT225.Split N application can significantly increase corn grain yield compared to only one application at sowing,and N45+68 is better than N20+93.Under our experimental condition,a total N application with N 113 kg/ha do not produce the same corn grain yield as SAT225.Both SPAD and Dualex readings show significant correlation with corn plant N concentration,and then can be used as an instant and non-destructive diagnostic tool for corn N status evaluation.
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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 | 0.001 |
| 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".