Heritability Estimates for Some Growth Traits of Dhatti Camel Breed in Tharparkar
Bibliographic record
Abstract
Purposed study was conducted using 12 sire”s 232 offspring. The parameters were studied birth weight, body weight, weight at 6 month, average daily gain to 6 month, yearling weight, total weight gain from 6 month and average daily gain from 6 month till one year. The results for heritability estimates were analyzed using the variance with unequal subclass numbers by using the data of 12 parental half sib groups. The average numbers of offspring were ranged per sire 3 to 84 with mean of 16.4. The effect of sire was observed significantly higher (P≤.0) in said traits. While the results of heritability estimates were observed low to moderate for birth weight, birth weight at 6 month, average daily gain to 6month, yearling weight, total weight, weight gain to 6 month and average daily gain from six month to 1 year respectively. The results for correlation estimates between these traits were positive and high for bwt with TG6 month and bwt at 6 month with and 6 month to 1 year. It is concluded that values for heritability and correlation were observed in range of other farm animal, while for the better production and higher values selection process is advisable for these traits.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".