Agronomic Efficiency of Hybrids of Corn to Nitrogen, Phosphorus and Potassium Targeting Fresh Corn
Bibliographic record
Abstract
The efficiency and responsiveness agronomic to the main macronutrients is becoming increasingly important due to the risk of supply, since it is a finite resource. In addition, excess fertilizer decreases the quality of water and air. Thus, the objective of this work was to assess the corn hybrids in terms of their efficiency and responsiveness to nitrogen (N), phosphorus (P) and potassium (K), and identify the ones most suitable for fresh consumption, according to the product type and technological level to be adopted by the farmer. The randomized complete block design in a 10 × 3 (hybrids and doses) factorial scheme was adopted for the experiment, with three replications, for two season crops (2013/14 and 2014/15). Ten hybrids (2B512PW, 2B587PW, 2B707PW, 30F35HR, 30F53YH, AG1051, BRS1055, BM3061, P3646H e P3862YH) were used in isolation under low availability (without application) and partial, of N, P and K, in an isolated manner, also evaluated under the recommended dose, aiming at fresh consumption. The most efficient and responsive hybrid must first be identified in isolation, based on the availability it is subjected to and later, by its sale, focused on fresh consumption. The hybrids indicated for low availability (low technological level) were BRS1055 and 30F53YH, with respect to responsiveness or agronomic efficiency, the hybrid P3862YH was the one that presented the best performance and indicated for technological levels of medium to high, considering the classification obtained for the nitrogen, phosphorus, and potassium for production vegetable corn.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".