ArticleFood science of animal resources2022
Comparison of Meat Quality and Muscle Fiber Characteristics between Porcine Skeletal Muscles with Different Architectures.
Article in Food science of animal resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Production Yield and Meat Quality Characteristics of Six Pork Head Cuts from Commercial Crossbred Pigs.Foods (Basel, Switzerland) · 2026Article
- Preliminary Immunohistochemical Assessment of Slow-Fiber Distribution and Clustering in Skeletal Muscles of 4-Week- and 6-Month-Old Pigs.Animals : an open access journal from MDPI · 2026Article
- Metabolomic, lipidomic and transcriptomic profiles provide insights into meat quality differences among four pork cuts.BMC genomics · 2025Article
- Crosstalk Between the Endoplasmic Reticulum and Mitochondria in Skeletal Muscle: Implications for Meat Quality.Animals : an open access journal from MDPI · 2025Review
- Ultrasound-responsive Janus patch with mechanical anisotropy, pro-healing, and anti-adhesion properties for abdominal wall defect repair.Journal of nanobiotechnology · 2025Article
- Integrated proteomics and transcriptomics analysis of dynamic changes in muscle fiber types in different regions of porcine skeletal muscle.Advanced biotechnology · 2025Article
- Carnosine and Acyl Carnitines as Metabolic Determinants of Muscle Phenotypic Differences Between Longissimus Dorsi and Triceps Brachii in Hanzhong Sheep.Foods (Basel, Switzerland) · 2025Article
- An Evaluation of Soybean Protein Concentrate as a Replacement for Fish Meal with Methionine Supplementation in Diets for Hybrid Sturgeon (Animals : an open access journal from MDPI · 2025Article
- Decoding the prenatal clock of sheep muscle fiber type differentiation: a temporal map from embryonic to mature types.Frontiers in cell and developmental biology · 2025Article
- Comparison of Muscle Fiber and Meat Quality Characteristics of Beef Strip Loin, Tenderloin, and Round Cuts among Jeju Black Cattle, Hanwoo, and Their Crossbreeds.Food science of animal resources · 2024Article
- Effect of castration method on porcine skeletal muscle fiber traits and transcriptome profiles.Veterinary and animal science · 2024Article
- Assessing Individual Muscle Characteristics to Enhance Frozen-Thawed Meat Quality.Food science of animal resources · 2024Review
- Article
- Comparative review of muscle fiber characteristics between porcine skeletal muscles.Journal of animal science and technology · 2024Review
- Study on the current research trends and future agenda in animal products: an Asian perspective.Journal of animal science and technology · 2023Review
- Aging mechanism for improving the tenderness and taste characteristics of meat.Journal of animal science and technology · 2023Review
- Multi-Omics Approaches to Improve Meat Quality and Taste Characteristics.Food science of animal resources · 2023Review
- Molecular mechanisms underlying the impact of muscle fiber types on meat quality in livestock and poultry.Frontiers in veterinary science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to compare the similarities, physicochemical properties, and muscle fiber characteristics of porcine skeletal muscles. Fourteen types of muscles were collected from nine pig carcasses at 24 h post-mortem and classified by muscle architecture into two main groups, namely parallel and pennate. The muscles were further differentiated into three subtypes per group. These included fan-shaped, fusiform, and strap for the parallel group, and unipennate, bipennate, and multipennate for the pennate group. Parallel-fibered muscles, which were composed of larger I, IIA, IIX, and IIXB fibers and a lower density of IIA fibers, showed higher redness and yellowness values than pennate-fibered muscles (p<0.05). However, the relative fiber area was not significantly different between the parallel and pennate groups (p>0.05). In the subtypes of parallel architecture, the strap group showed lower moisture content and higher redness values than the other subtypes and had considerably higher amounts of oxidative fibers (I and IIA; 72.3%) than the fan-shaped and fusiform groups (p<0.05). In the pennate group, unipennate showed comparatively lower moisture content and higher lightness than other pennate subtypes and was composed of smaller I, IIA, and IIX fibers than the bipennate and multipennate groups (p<0.05). Finally, a different trend of muscle clustering by hierarchical cluster analysis was found between physicochemical properties and muscle fiber characteristics. These results suggest that the physicochemical properties and muscle fiber characteristics of porcine skeletal muscles are not significantly dependent on morphological properties but are rather related to the intrinsic properties of the individual muscles.
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.