Three New Maize Hybrids for Afghanistan
Bibliographic record
Abstract
Afghanistan grows maize in about 0.15 m ha with an annual production hovering around 300,000 tonnes. The country does not have any officially released commercial maize hybrid and relies only on open pollinated varieties for cultivating maize. The countries in region enjoy much higher productivity levels ranging from 3.5 to 5.00 tonnes per ha compared to 2.2 tonnes per ha of Afghanistan. Several maize hybrids were introduced from CIMMYT to test them for adaptation and yielding ability in Afghanistan for the purpose of releasing them in the country. The three public sector maize hybrids described in this communication were tested at several locations viz., Nangarhar province, Kabul, Baghlan and Helmand in Afghanistan during 2012 to 2014 crop seasons. The hybrids/inbreds bred by CIMMYT were tested against the currently grown open pollinated (OP) varieties and they yielded on an average 31 to 38% higher than the currently popular open pollinated maize varieties. The hybrids were released for commercial cultivation in 2014.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".