Farmers Perception of Low Soil Fertility and Hybrid Maize and the Implications in Plant Breeding
Bibliographic record
Abstract
In spite of efforts by national and international scientists to improve crop productivity, varieties of crops grown in Africa have low productivity. Varieties improved for yield have had low adoption rates among small scale farmers. Productivity of maize remains low in the smallholder sector because the crop continues to be grown under stress-prone environments and with limited resources. Participatory Rural Appraisal (PRA) tools, including two focus group discussions and interviews with 120 individual farmers were conducted in Wenchi and Ejura-Sekyedumase districts in Ghana to determine maize production constraints, assess farmers’ perceptions of low soil fertility in maize production and their coping strategies for the control of low soil fertility. Opportunities for breeding new maize varieties with tolerance to low soil fertility and improving farmers' perception on adoption and utilisation of maize hybrids were also examined. Results from interviews revealed that low soil fertility, drought, diseases and insect pests are the dominant constraints in maize productivity in the two districts. Farmers in the study area also have preference for low soil nitrogen (low N) tolerant, drought tolerant, disease and pest resistant varieties that require lower inputs. They prefer maize varieties which produce slender cobs that are light in weight with lots of grain. The farmers lack knowledge about hybrids but are willing to adopt maize hybrids that are tolerant to low N.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".