Modeling extremes of wheat and maize crop performance in the tropics. Proceedings of a Workshop, CIMMYT, El Batán, Mexico, 19-22 April 1999.
Bibliographic record
Abstract
In a workshop sponsored by the Natural Resources Group (NRG) of the International Maize and Wheat Improvement Center (CIMMYT), scientists from the USA, Canada, South Africa and CIMMYT gathered at CIMMYT headquarters during 19-22 April, 1999, to examine the performance of leading maize and wheat simulation models, particularly CERES, for tropical environments of high and low yield potentials. Major outcomes are reported in this publication and include: * revision of temperature effects on development in CERES Wheat 3.5; * examination of strategies for modeling barrenness and prolificacy in maize; * identification of the temperature effect on radiation use efficiency as a priority for subsequent revision; * heightened recognition of the need to compile quality data sets for maize and wheat growth from diverse environments. ISSN: 1405-7484 AGROVOC descriptors: Cereals; Maiz; Zea mays; Wheats; Triticum; Crop performance; Yield factors; Environmental factors; Drought stress; Rain; Temperature resistance; Heat; Nutrient deficiencies; Crop yield; Yield increases; Models; Simulation models; Tropical zones; Mexico; Research projects Additional
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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".