Precalving nutritional factors associated with colostrum quality and yield in Québec dairy herds
Bibliographic record
Abstract
The objective of this prospective longitudinal study was to identify precalving dietary ingredients, nutrient composition, cow characteristics, and herd management affecting colostral Ig G concentration, Brix values, and yield of multiparous Holstein cows in Québec commercial Holstein dairy farms.Data from 364 multiparous cows from 51 herds were analyzed in this study.In each herd, 3 to 12 cows (average of 6.5 cows per herd) ranging from 0 to 33 d precalving (median of 13 d precalving) were enrolled and sampled.One visit was conducted before calving in each herd at which cows were blood sampled, BW was estimated by heart girth circumference, and all dietary ingredients and TMR given to the cows were sampled, and their respective quantities offered were recorded.Producers were asked to take a sample of colostrum at the first milking after calving and to complete a form regarding the calving and colostrum management of each cow.Colostrum samples were analyzed for their IgG concentration and Brix % value.Rations were reconstituted before nutrient composition analysis by wet chemistry.To reduce the number of interdependent variables to include in the multivariable models, a principal component analysis was carried out on data relative to the ration.Univariable models were performed with colostrum yield and colostral IgG and Brix values as dependent variables.Independent variables leading to P < 0.20 at the univariable level were retained in the multivariable linear regression model followed by a backward elimination.Colostral IgG, Brix, and yield averaged 56.1 (SD = 23.7)mg/mL, 23.9% (4.6%), and 5.9 (3.9) kg, respectively.Colostral IgG and Brix led to the same final models.Second-parity cows had lower colostral IgG concentrations than third and higher parity cows.Colostral IgG was negatively related to mineral and protein supplements and positively to commercial energy supplements.A negative relationship was observed between colostral IgG and time between calving and colostrum collection.Plasma nonesterified fatty acid concentration and time between calving and the first milking were positively related to colostrum yield.A dry period length of 65 d and more tended to lead to a greater colostrum yield than a dry period length of 51 d or less.Decreasing prepartum dietary fiber, ash, Ca, Mg, and Fe and increasing energy were related to greater colostrum yield.The model including diet, cow, and herd management factors explained respectively 34%, 40%, and 51% of the IgG concentration, Brix %, and colostrum yield variability (pseudo-R 2 ).In summary, the studied factors explained a moderate part of the colostrum yield and IgG variability.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".