Breeding Progress for Grain Yield and Yield Related Characters of Kabuli Chickpea (Cicer arietinum L.) in Ethiopia Using Regression Analysis
Bibliographic record
Abstract
The genetic progress in seed yield and yield related characters of 10 kabuli chickpea varieties released by the Ethiopian Chickpea Crop Improvement Program from 1974 to 2017 was assessed during the main cropping season. The varieties were evaluated in the Randomized Complete Block design at Debrezeit Agricultural Research Center experimental research farm. The overall increase in seed yield over the local check, DZ-10-4, was estimated to be 739 kg/ha (38.9%). On station grain yield increased from 1900 to 3250 kg/ha during the last 43 years and the overall increase in seed yield of the Arerti variety over the oldest variety DZ-10-4 was estimated to be 1350 kg/ha or 71.1%. Based on the regression analysis, the estimated average annual rate of increase in grain yield potential was 10.87kg/ha/year with an annual relative genetic change of 0.57%/year. Genotypic change was an important source for increased grain yield potential during the studied period. Positive genetic gains were observed for the yield traits (grain yield and yield components). The average cumulative gains over 43 years of breeding was, therefore, 445.67 kg (23.37%) for seed yield, and 30.26 g for hundred seeds weight (297.7%). Hundred seed weight revealed the most dramatic response to breeding for the last 43 years. It is, therefore, strategically advisable that breeding efforts in the future should give due attention to yield related traits of kabuli chickpea varieties.
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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 | 0.001 |
| 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".