Character association and path co-efficient analysis in bitter gourd (Momordica charantia L.).
Bibliographic record
Abstract
The experiment was carried out with 58 germplasm lines of bitter gourd originating from different agro-ecological regions at the experimental area of the Department of Vegetable Science, Punjab Agricultural University, Ludhiana, India to study character association and path analysis. The correlation coefficients were determined to find out the interrelationship among the characters studied. Yield/plant was found to be significantly correlated with days to last harvest (0.60, 0.70), fruit width (0.34, 0.41) and number of fruits per plant (0.57, 0.55) at both genotypic and phenotypic level which indicated that yield could be increased by selecting these characters. Direct and indirect effects were measured using path co-efficient analysis in order to determine the interrelationship between yield/plant and its components. From path analysis, it is evident that traits such as fruit length, fruit number, non reducing sugar imposed positive direct effect towards yield. Hence these characters may be considered as selection indices in bitter gourd improvement programme.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".