ArticlePoultry science2025
Effects of dietary metabolizable energy and crude protein levels on production performance, meat quality and cecal microbiota of Taihe Silky Fowl during growing period.
Article in Poultry science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Dietary energy level modulates cecal microbiota to influence amino acid composition of local chicken meat.Microbiology spectrum · 2026Article
- Effects of Dietary Metabolizable Energy and Crude Protein Levels on the Nutrient Metabolism, Gut Development and Microbiota Composition in Jingyuan Chicken.Animals : an open access journal from MDPI · 2025Article
- Spatiotemporal characterization of the dynamic changes in the intestinal microbiota of Taihe Silky Fowl.Animal microbiome · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This experiment aimed to investigate the effects of dietary metabolizable energy (ME) and crude protein (CP) levels and their interaction on the performance, meat quality, and cecal microbiota of Taihe Silky Fowl (Gallus gallus domesticus Brisson) during the growing period. A total of 2160 55-day-old Taihe Silky Fowl (half male and half female) were randomly divided into 9 groups with 6 replicates per group and 40 chickens per replicate. The fowl were fed with a 3 × 3 factor diet (ME: 11.7 MJ/kg, 12.1 MJ/kg, 12.6 MJ/kg; CP: 17.0%, 18.0%, 19.0%). The results showed as follows: with the increase of dietary ME level, the average daily feed intake (ADFI) and feed conversion ratio (FCR) of Taihe Silky Fowl during the growing period were significantly decreased (P < 0.05), reaching the lowest value in 12.6 MJ/kg group, which were decreased by 5.86% and 8.41% compared with 11.7 MJ/kg group, respectively. The dressing percentage and half-eviscerated yield rate were significantly increased (P < 0.01), with no significant difference between 12.1 and 12.6 MJ/kg groups. Dietary CP level and the interaction between ME and CP had no significant effects on growth performance, slaughter performance, organ index, serum biochemical indexes and meat quality of Taihe Silky Fowl during growing period. The richness and diversity of cecal microbiota decreased gradually with the increase of dietary ME level, and the community structure changed significantly (P < 0.05). High ME diet (12.6 MJ/kg) significantly increased the abundance of Bacteroides (P < 0.05), especially the genus Alistipes, which may indirectly improve nutrient absorption efficiency and overall health status of Taihe Silky Fowl through its metabolites and effects on intestinal microbial community structure, thereby reducing FCR. In conclusion, the optimal production performance and economic benefits can be obtained when the diet ME is 12.6 MJ/kg and CP is 17.0%.
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.