Milk Yield and Quality to Estimate Genetic Parameters in Buffalo Cows
Bibliographic record
Abstract
The objective of this study was to estimate genetic parameters for daily milk yield, fat and protein milk contents and their relationship with "mozzarella" cheese production using the classic instruments of the quantitative genetics. A total of 5130 daily milk yields records, belonging to 6 herds in South Italy were analyzed. The traits studied were: accumulated 270-day milk yield, milk fat and protein percentages, milk yield/day and mozzarella production. Descriptive statistics of the variables studied have been obtained with the procedure MEANS and FREQ, while the variation sources have been investigated using GLM procedure. With the objective to characterize the effects of greater impact on the production of milk (kg/days), fat and protein content (%) and "mozzarella" production (kg/days), has been used analysis of variance (ANOVA). On average, buffalo cow’s milk production during lactation was 9.21±2.79 kg/d with 8.73% of fat and 4.98% of protein. Heritability estimates were low. The genetic correlation estimates between milk yield and % of fat and % of protein were low. These results showed that the genes affecting milk yield have an antagonistic effect on % of fat and % of protein traits. Its suggests that selection to increase milk yield, would in the long term probably cause a reduction in milk constituents
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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) | 0.000 | 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) | 0.000 | 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".