Physiological and production responses when feeding<i>Aspergillus oryzae</i>to dairy cows during short-term, moderate heat stress
Bibliographic record
Abstract
Abstract Dairy operations located in many temperate climates experience a decline in milk production associated with short-term moderate heat stress during the summer months. The duration and intensity of this heat stress differs dramatically from the sustained, intense heat experienced in many tropical and subtropical countries where the vast majority of heat stress research has been conducted. As such, many of the strategies utilized to ameliorate production losses associated with sustained, intense heat may not be effective in temperate climates. The objective of this research was to characterize the production responses of lactating dairy cows during and after short-term, moderate heat exposure and, to determine if feeding a fungal culture,Aspergillus oryzae, during a 5-day heat stress period, could effectively alleviate the associated production losses. In a two-period, cross-over design, eight mature lactating cows were given a total mixed ration with or withoutAspergillus oryzae. Each 15-day period consisted of a 5-day thermoneutral phase, a 5-day heat stress phase and a 5-day thermoneutral recovery phase. When exposed to moderate heat stress for a 5-day period, cows experienced a rise in vaginal temperature and a decline in dry-matter intake. Following the 5-day heat stress phase, milk yield declined by a factor of 0·09. Supplementation withAspergillus oryzaehad no effect on vaginal temperature, dry-matter intake, water intake, milk yield or milk components. These data indicate that short-term, moderate heat stress, which occurs during the spring and summer months in temperate climates, will significantly decrease production in the lactating cow. Addition of fungal cultures to the diet during the period of imposed heat did not ameliorate production losses associated with this type of heat stress.
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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 | 0.000 | 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 | 0.001 |
| 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".