Selection of Turnip Variety for Nutrition Security in Nepal
Why this work is in the frame
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Bibliographic record
Abstract
A series of genotype selection and performance evaluation experiments on turnip were conducted at Horticulture Research Division (HRD), Khumaltar, Agriculture Research Station (ARS) Dailekh, Agriculture Research Station (ARS) Pakhribas and farmers’ fields between 2010 and 2014 with an aim to identify suitable variety for mid-hills of Nepal. The local genotype from Kathmandu Valley was used as the base material for the selection of genotype HRDTUR001. The performance of selected genotype was evaluated for size, colour, taste, yield and other characters using Purple Top a released variety as the standard check. The on station results revealed that genotype HRDTUR001 was found promising because of attractive root colour, excellent root size (224.45g) and better taste for vegetable purpose. Based on the biological and socio-economic feedback received from the on farm trials genotype HRDTUR001 has been recommended to release as a variety for cultivation in the mid hills of Nepal.
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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 it