Growth and Yield Parameters of Mesta Varieties as Influenced by Spacing and Nutrient Sources
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Bibliographic record
Abstract
Field experiment was conducted at GKVK, University of Agricultural Sciences, Bangalore, Karnataka to study the growth and yield parameters of mesta as influenced by varieties, spacing and nutrient sources.The plant height at harvest stage varied significantly due to different plant spacing, varieties and nutrient sources. Among the varieties, HS-108 recorded significantly higher plant height (275.5 cm) and total dry matter (25.01 g) than AMV-4. The seed yield differed significantly due to different plant spacing, varieties and nutrient sources. Among the varieties, AMV-4 recorded significantly higher seed yield (754.5 kg ha-1) than HS-108 (581.5 kg ha-1). Significantly higher seed yield was recorded under 45 cm x 10 cm spacing (687 kg ha-1) than 30 cm x 10 cm (649.5 kg ha-1). Further, application of 5 t of FYM per ha along with 40:20:20 kg NPK per ha fertilizer registered higher seed yield (698.0 kg ha-1) compared to 100 per cent N equivalent through FYM (625.5 kg ha-1). The fibre yield differed significantly due to different plant spacing, varieties and nutrient sources. Among the varieties, HS-108 recorded significantly higherfibre yield (948 kg ha-1) than AMV-4 (850 kg ha-1). Significantly higher fibre yield was recorded under 45 cm x 10 cm spacing (923 kg ha-1) than 30 cm x 10 cm (875 kg ha-1). Further, application of 5 t of FYM per ha along with 40:20:20 kg NPK per ha fertilizer registered higher fibre yield (962 kg ha-1) compared to 100 per cent N equivalent through FYM (803 kg ha-1). The interaction effects between varieties, plant spacing and nutrient sources were found to be significant.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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