The effect of different cluster take-off levels at udder quarter in combination with feeding during milking on milk production in dairy cows : milk yield, milk composition and milking time
Bibliographic record
Abstract
It was early stated that high take-off level at whole udder level decreases the milking time. There are, however, few studies dealing with take-off level at udder quarter level. It has also been stated that feeding of concentrate during milking can be used as a teaser to motivate the cows to visit the milking unit (MU) and to improve the milk ejection. Furthermore, has it been observed that milk yield can be negatively affected by high take-off levels but positively reinforced by feeding during milking. The aim of the present study was to evaluate different take off levels at udder quarter level in combination with or without feeding of concentrate during milking. The study was conducted at The Swedish Livestock Research Centre, Lövsta, Uppsala, Sweden, during November and December 2015. Thirty cows of the Swedish Holstein (n=9) and Swedish Red breeds (n=21) were used. Three different cluster take-off levels (100, 300 or 500g/min) on udder quarter level in combination with (f) or without feeding (nf) of concentrate during milking were tested in a six week long study in a 6x6 Latin Square model. It was found that milk yield was not affected by neither treatment, take-off level nor feeding of concentrate during milking, while milk composition was affected by both take-off level and feeding of concentrate during milking. Lactose and protein content was higher when concentrate was provided, while there was a tendency for lower fat content. The milking time was shorter with higher take-off level and when no concentrate was provided. Protein and lactose content was highest for take-off level 300 g/min, but also lower when no concentrate was provided during milking. Percent of residual milk was highest in treatment 300f while lowest for 100f and 300nf. The present study therefore suggests that a take-off level at 500 g/min in combination with no concentrate during milking is appropriate to ensure a sufficient udder empting and possible improvement of milking efficiency, with a low effect on milk composition and no effect on milk yield.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".