African Yam Bean (Sphenostylis stenocarpa) Nodulates Promiscuously with Rhizobium Indigenous to Soils of Botswana
Bibliographic record
Abstract
African yam bean is a versatile legume crop, relished for its protein rich tubers, seeds and leaves which are utilized as spinach. It is a highly adaptable crop capable of producing growth even on acid and highly leached sandy soils. A pot experiment was conducted at Botswana College Agriculture to determine nodulation of African Yam Bean with Rhizobium indigenous to soils of Botswana. Soil collected from two different sites at Botswana College of Agriculture were used with each planted with African Yam Bean and cowpea plants. No fertilizer supplementation was added to the soils. Data was collected after eight weeks of establishment. The parameters measured were the number of nodules, nodule weight and plant weight. The data was analysed using Genstat software Discovery Version. African Yam Bean formed nitrogen fixing nodules under the soils from the two different sites. It compared favorably with cowpea because there were no significant differences in nodulation (nodule number and nodule weight, fresh and dry weight) between the two species. This study has further revealed that African Yam Bean is adaptable to a wide variety of environments and could be successfully grown in Botswana without expensive inputs such as inorganic fertilizers.
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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) | 0.000 | 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 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".