Mortality Pattern of Nili-Ravi Buffaloes under Organised Herd in India
Bibliographic record
Abstract
The objective of the study was to find out the mortality pattern of Nili-Ravi buffaloes under organised herd in tropical climate. An investigation was carried out on post mortem findings of 318 Nili-Ravi buffaloes maintained at Central Institute for Research on Buffaloes, Regional Station-Bir Dosanjh, Nabha, Patiala, Punjab over a period of 16 years (1994-95 to 2009-10). Each year was divided into three seasons i.e. hot-dry (March-June), hot-humid (July-October) and cold (November to February). Sex of animals was divided into male and female group. The age of animals were grouped into eight categories viz. up-to 30 days (d), 31-60 d, 61-90 d, 91-180 d, 181-365 d, 366-1095 d, 1096-3650 d and more than 3651 d. The causes of mortality, based on post-mortem findings, were classified into twelve classes e.g. major respiratory diseases (MARD), minor respiratory diseases (MIRD), major digestive disorders (MADD), minor digestive disorders (MIDD), cardiovascular diseases (CVD), parasitic diseases (PAD), infectious diseases (ID), musculoskeletal diseases (MSD), urogenital/reproductive diseases (UGD/RD), neurological disorders (ND), nutritional/metabolic/production diseases (NMD) and miscellaneous disorders (MD). Majority of the buffaloes died in the months of July to October. About two third of the buffalo deaths occurred before one year of their age. MARD followed by MAAD and CVD were the predominant causes of buffalo death under organised herd. This information will be beneficial in reducing buffalo mortality through adopting proper herd health programme of organized buffalo herd.
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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 | 0.001 | 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) | 0.001 | 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".