Studies on Evaluation and Mean Performance Associated with Yield, Quality and Pest and Disease Incidence in Eggplant (<i>Solanum melongena</i> L.)
Bibliographic record
Abstract
The per se performance of 14 eggplant genotypes and forty hybrids were studied for fruit yield and productivity traits during 2010 at College Orchard, Agricultural College and Research Institute, Madurai, India. ANOVA revealed the existence of significant difference among the genotypes/hybrids studied for all the traits indicating the presence of considerable amount of variability. Fourteen parents were evaluated on the basis of mean performance in Line x Tester analysis revealed that the lines, Palamedu local (L5), Alavayal Local (L1) and Keerikai Local (L7) and the testers EP 65 (T4) and Annamalai (T1) were adjudged to be the superior parents by expressing significant mean values for majority of the characters understudy. Hence, these parents were considered as desirable ones for construction of yield coupled with quality. The evaluation of hybrids based on per se performance disclosed that the hybrids excelled in their mean in order of merit were Palamedu Local x EP 65 (L5 x T4), Keerikai Local x KKM 1(L7 x T2), Alavayal Local x Annamalai (L1 x T1) and Alagarkovil Local x Annamalai (L4 x T1).
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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".