Impact of dietary phytochemicals on production and quality of ruminant meat and milk: A comprehensive systematic review
Bibliographic record
Abstract
The role of phytochemicals such as polyphenols, essential oils, saponins and organosulfur compounds in ruminant production systems has evolved from their riddance as anti-nutritional factors in the past to current exploration as potential natural antimethanogens, anthelmintics, stress alleviators, growth enhancers, and biopreservatives. This shift stems from the desire to improve animal health, production and product quality while reducing greenhouse gas emissions and reliance on antibiotics and synthetic additives. The impact, mechanism of action and transfer efficiency of dietary phytochemicals for ruminant production and product preservation have, however, been reported to be uncertain primarily due to a lack of optimized application conditions. The current review provides a comprehensive update on the impacts of dietary phytochemicals for ruminant production and product quality enhancement and suggests directions for future research, innovation and adoption. A Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach was conducted in Scopus, Web of Science and Google Scholar databases to identify and select peer-reviewed journal articles published between 2010 and 2025. The comprehensive systematic review used data from 174 in vivo studies. The results show no impact, insufficient investigation into the mechanisms and transfer efficiency of dietary phytochemicals for ruminant production and product quality. Nonetheless, there are indications that essential oils and polyphenols hold potential to enhance ruminant production, oxidative stability and health value of edible products. A portfolio of future directions, including optimizing application conditions, customizing diet formulations, educating value-chain actors, enacting harmonized regulations and polices, fostering transdisciplinary collaboration and establishing institutions to coordinate research and innovation, was proposed to fully unlock the value of dietary essential oils and polyphenols in ruminant production systems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".