Nodulation, Nutrient Uptake and Yield of Common Bean Inoculated with Rhizobia and Trichoderma in an Acid Soil
Bibliographic record
Abstract
Common bean is an important source of protein, fat, carbohydrate, vitamins and minerals for both human beings and livestock. In Zambia, common bean is produced mostly by smallholder farmers whose current yields fall far short of the potential 2 t/ha due to various challenges. Among the biophysical constraints, poor soil fertility and acidity pose the greatest challenges. This study investigated the individual and dual inoculation of Rhizobia and Trichoderma to common bean in a phosphorus deficient, acid soil. Soil in which the common bean was grown was characterized for selected chemical properties before planting and at harvest using standard laboratory procedures. Soils were amended with nitrogen and phosphorus fertilizer at the rates of 100 kg N and 80 kg P2O5 per ha; 1 g/kg of seed of Trichoderma harzianum; 100 g/kg of seed of Rhizobium tropici; or a combination of both at the recommended rates at planting. Nodulation and nodule effectiveness were determined at 51 days after planting. Nitrogen and phosphorus accumulation in the above ground biomass, biomass and grain yields were determined at maturity. To determine differences among soil amendments, data were analysed using Analysis of Variance and Least Significant Difference at 95% confidence limit. Relationships among parameters were determined using correlation analysis. The results showed that amending soils with inorganic N at high rates can depress nodulation even in the presence of high levels of inorganic phosphorus. Inoculating common bean with Rhizobia and Trichoderma either singly or in combination increases nodule number and effectiveness per plant but may not result in higher nitrogen and phosphorus accumulation, or in an increase in subsequent biomass or grain yields. The low phosphorus accumulation in Trichoderma inoculated plants observed in this study needs to be investigated further by studying the extent of colonization and the accompanying changes in root volume.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".