STUDIES ON HAEMATOLOGICAL TRAITS IN DIFFERENT BREEDS OF DOG
Bibliographic record
Abstract
The present study was conducted on dog during the period of June-September, 2009 at the Department of Animal Genetics and Breeding of West Bengal University of Animal and Fishery Sciences , Belgachia, Kolkata , West Bengal, India. This study comprised of a total of 58 dogs belonging to the 7 different breeds namely Spitz : 21, German shepherd : 6, Labrador : 9, Mongrel : 8, Golden Retriever : 5, Dalmatian : 4, Cockerspaniel : 5. The overall mean value of haemoglobin concentration( g/dl) , erythrocyte diameter( µ) and SARBC (µ2) were estimated as 14.586 ± 0.103, 7.086 ± 0.256 and 39.453 ± 0.296. The mean HbC in g/dl was observed to be the highest in the Dalmatian breed (15.40 ± 0.14). The lowest value for haemoglobin concentration was found to be in German Shepherd breed (13.70 ± 0.12). The mean erythrocyte diameter was observed to be highest in the Golden Retriever breed (7.19 ± 0.03) and the lowest was in German Shepherd breed ( 6.99 ± 0.03). The mean erythrocytic area (SARBC ) in µ2 was found to be highest in Golden Retriever breed of dog whereas the lowest mean erythrocytic area was in cockerspaniel breed of dog. The respective estimates were accounted for 40.645 ± 0.336 and 38.129 ± 0.336 µ2. The present study indicated highly significant (P<0.01) differences between breeds for three haematological traits. It was observed that Haemoglobin concentration has highly significant association with erythrocyte diameter and Erythrocyte surface area. The estimated values were 0.344 and 0.347, respectively. It was also observed that erythrocyte diameter and SARBC had cent percent association.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".