Row and Plant Spacing Effects on Yield and Yield Components of Soya Bean Varieties Under Hot Humid Tropical Environment of Ethiopia
Why this work is in the frame
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Bibliographic record
Abstract
Appropriate plant density is a key for gainful production of soya bean in various environments including the hot-humid tropical environments (HHTE) of Ethiopia. A split-plot factorial experiment was conducted under HHTE in south-west Ethiopia to determine the effect of Variety (Clark, CSC-1), Row spacing (50, 55, 60, 65, 70 cm) and Plant spacing (2.5, 5, 10 cm) on yield and yield components, and weed infestation of soya bean. The effect of Plant spacing was more Variety-specific than that of Row spacing. Yield and yield components per m2 were significantly affected by both Row spacing and Plant spacing. However, per plant and per pod responses and weed infestation were affected mainly by Plant spacing, and not that much by Row spacing. Seed yield and yield components per m2 were the highest for the highest plant density (50 cm Row spacing, 2.5 cm Plant spacing), but individual plant and pod responses, and weed infestation were the highest for wider Plant spacing (10 cm). Regression analysis of various responses on planting density showed negative, cubic relationship albeit with different strength. This study demonstrated that these factors significantly modify soya bean yield and yield components as well as weed infestation, suggesting that they could be used as management tools for increased yield in HHTE.
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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