ReviewPoultry science2020
Poultry processing and the application of microbiome mapping.
Review in Poultry science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Multidrug-resistantFrontiers in microbiology · 2026Article
- 16S amplicon-based microbiome biomapping of a commercial broiler hatchery.Animal microbiome · 2024Article
- Essential oils mix effect on chicks ileal and caecal microbiota modulation: a metagenomics sequencing approach.Frontiers in veterinary science · 2024Article
- The Microbial Genetic Diversity and Succession Associated with Processing Waters at Different Broiler Processing Stages in an Abattoir in Australia.Pathogens (Basel, Switzerland) · 2023Article
- Application of microbial analyses to feeds and potential implications for poultry nutrition.Poultry science · 2022Review
- Practical opportunities for microbiome analyses and bioinformatics in poultry processing.Poultry science · 2022Article
- Impact of the gastrointestinal microbiome and fermentation metabolites on broiler performance.Poultry science · 2022Review
- Communicating the utility of the microbiome and bioinformatics to small flock poultry producers.Poultry science · 2022Review
- Livestock microbial landscape patterns: Retail poultry microbiomes significantly vary by region and season.Food microbiology · 2022Article
- Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca.Scientific reports · 2021Article
- Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain.EFSA journal. European Food Safety Authority · 2021Article
- Draft Genome Sequences of 11 Bacterial Strains Isolated from Commercial Corn-Based Poultry Feed.Microbiology resource announcements · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chicken is globally one of the most popular food animals. However, it is also one of the major reservoirs for foodborne pathogens, annually resulting in continued morbidity and mortality incidences worldwide. In an effort to reduce the threat of foodborne disease, the poultry industry has implemented a multifaceted antimicrobial program that incorporates not only chemical compounds, but also extensive amounts of water application and pathogen monitoring. Unfortunately, the pathogen detection methods currently used by the poultry industry lack speed, relying on microbiological plate methods and molecular detection systems that take time and lack precision. In many cases, the time to data acquisition can take 12 to 24 h. This is problematic if shorter-term answers are required which is becoming more likely as the public demand for chicken meat is only increasing, leading to new pressures to increase line speed. Therefore, new innovations in detection methods must occur to mitigate the risk of foodborne pathogens that could result from faster slaughter and processing speeds. Future technology will have 2 tracks: rapid methods that are meant to detect pathogens and indicator organisms within a few hours, and long-term methods that use microbiome mapping to evaluate sanitation and antimicrobial efficacy. Together, these methods will provide rapid, comprehensive data capable of being applied in both risk-assessment algorithms and used by management to safeguard the public.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.