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Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0306-9192(89)90034-1openalex-snapshot
Designing Foods : Animal product options in the market place
inferredcites →https://doi.org/10.1016/0309-1740(96)00065-4openalex-snapshot
Biochemical factors regulating the toughening and tenderization processes of meat
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/b978-0-08-100593-4.00003-5openalex-snapshot
Myogenesis and Muscle Growth and Meat Quality
inferredcites →https://doi.org/10.1016/b978-0-12-804007-2.00011-4openalex-snapshot
Proteomic Investigations of Beef Tenderness
inferredcites →https://doi.org/10.1016/j.anbehav.2016.12.005openalex-snapshot
Applications of machine learning in animal behaviour studies
inferredcites →https://doi.org/10.1016/j.eswa.2007.12.002openalex-snapshot
Using Kaplan–Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4.5 and ID3) in determining recurrence-free survival of breast cancer patients
inferredcites →https://doi.org/10.1016/j.foodchem.2008.10.041openalex-snapshot
Effect of the feeding system on intramuscular fatty acids and conjugated linoleic acid isomers of beef cattle, with emphasis on their nutritional value and discriminatory ability
inferredcites →https://doi.org/10.1016/j.foodchem.2018.01.070openalex-snapshot
Reverse phase protein arrays for the identification/validation of biomarkers of beef texture and their use for early classification of carcasses
inferredcites →https://doi.org/10.1016/j.jprot.2015.08.022openalex-snapshot
Coherent correlation networks among protein biomarkers of beef tenderness: What they reveal
inferredcites →https://doi.org/10.1016/j.livsci.2006.02.008openalex-snapshot
Comparison of supplementary concentrate levels with grass silage, separate or total mixed ration feeding, and duration of finishing in beef steers
inferredcites →https://doi.org/10.1016/j.livsci.2007.01.154openalex-snapshot
Relationship between rearing practices and eating quality traits of the muscle rectus abdominis of Charolais heifers
inferredcites →https://doi.org/10.1016/j.livsci.2009.10.004openalex-snapshot
Effects of concentrate type and level on the performance and health of finishing Hereford bulls given a grass silage-based diet and reared in cold conditions
inferredcites →https://doi.org/10.1016/j.livsci.2017.05.017openalex-snapshot
A set of indicators to better characterize beef carcasses at the slaughterhouse level in addition to the EUROP system
inferredcites →https://doi.org/10.1016/j.livsci.2018.06.011openalex-snapshot
Clustering of sensory eating qualities of beef: Consistencies and differences within carcass, muscle, animal characteristics and rearing factors
inferredcites →https://doi.org/10.1016/j.meatsci.2007.02.001openalex-snapshot
Consequences of two or four months of finishing feeding of culled dry dairy cows on carcass characteristics and technological and sensory meat quality
inferredcites →https://doi.org/10.1016/j.meatsci.2007.05.031openalex-snapshot
Relationship between beef consumer tenderness perception and Warner–Bratzler shear force
inferredcites →https://doi.org/10.1016/j.meatsci.2010.05.010openalex-snapshot
Meat standards and grading
inferredcites →https://doi.org/10.1016/j.meatsci.2012.05.014openalex-snapshot
Beef carcasses with larger eye muscle areas, lower ossification scores and improved nutrition have a lower incidence of dark cutting
inferredcites →https://doi.org/10.1016/j.meatsci.2013.04.031openalex-snapshot
Exploring the unknowns involved in the transformation of muscle to meat
inferredcites →https://doi.org/10.1016/j.meatsci.2013.05.010openalex-snapshot
Biomarkers of meat tenderness: Present knowledge and perspectives in regards to our current understanding of the mechanisms involved
inferredcites →https://doi.org/10.1016/j.meatsci.2016.07.026openalex-snapshot
Inter-laboratory assessment by trained panelists from France and the United Kingdom of beef cooked at two different end-point temperatures
inferredcites →https://doi.org/10.1016/j.meatsci.2018.03.004openalex-snapshot
Associations among animal, carcass, muscle characteristics, and fresh meat color traits in Charolais cattle
inferredcites →https://doi.org/10.1016/j.meatsci.2018.06.039openalex-snapshot
Reverse Phase Protein array for the quantification and validation of protein biomarkers of beef qualities: The case of meat color from Charolais breed
inferredcites →https://doi.org/10.1016/s0031-3203(02)00060-2openalex-snapshot
The global k-means clustering algorithm
inferredcites →https://doi.org/10.1016/s2095-3119(16)61340-0openalex-snapshot
Sensory quality of meat from eight different types of cattle in relation with their biochemical characteristics
inferredcites →https://doi.org/10.1017/s0003356100007066openalex-snapshot
The effects of plane of nutrition and slaughter weight on the performance and carcass composition of continental beef bulls given high forage diets
inferredcites →https://doi.org/10.1021/acs.jafc.7b03239openalex-snapshot
Identification of Biomarkers Associated with the Rearing Practices, Carcass Characteristics, and Beef Quality: An Integrative Approach
inferredcites →https://doi.org/10.1021/jf501528sopenalex-snapshot
Inverse Relationships between Biomarkers and Beef Tenderness According to Contractile and Metabolic Properties of the Muscle
inferredcites →https://doi.org/10.1071/an14210openalex-snapshot
Win–win strategies for high beef quality, consumer satisfaction, and farm efficiency, low environmental impacts and improved animal welfare
inferredcites →https://doi.org/10.1071/ea00022openalex-snapshot
Factors affecting beef palatability — farmgate to chilled carcass
inferredcites →https://doi.org/10.1079/asc41340159openalex-snapshot
Intake, growth and meat quality of steers given diets based on varying proportions of maize silage and grass silage
inferredcites →https://doi.org/10.1079/pns200077openalex-snapshot
Producing tender and flavoursome beef with enhanced nutritional characteristics
inferredcites →https://doi.org/10.1111/j.1365-2621.1990.tb06752.xopenalex-snapshot
Enzyme Activity Levels in Beef: Effect of Postmortem Aging and End‐point Cooking Temperature
inferredcites →https://doi.org/10.1111/j.1365-2621.1991.tb14652.xopenalex-snapshot
Influence of Feeding Regimen on the Sensory Qualities and Fatty Acid Contents of Beef Steaks
inferredcites →https://doi.org/10.2527/2001.79123062xopenalex-snapshot
Consumer thresholds for establishing the value of beef tenderness.
inferredcites →https://doi.org/10.2527/jas.2008-1361openalex-snapshot
A model with heterogeneous thresholds for subjective traits: Fat cover and conformation score in the Pirenaica beef cattle1
inferredcites →https://doi.org/10.2527/jas.2010-3382openalex-snapshot
Prediction of fat percentage within marbling score on beef longissimus muscle using 3 different fat determination methods1
inferredcites →https://doi.org/10.2527/jas.2015-0164openalex-snapshot
Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows
inferredcites →https://doi.org/10.2527/jas1981.5351181xopenalex-snapshot
Acceptability of Beef Finished on All-Forage, Forage-Plus-Grain or High Energy Diets
inferredcites →https://doi.org/10.2527/jas1988.663603xopenalex-snapshot
Carcass Composition in Mature Hereford Cows: Estimation and Effect on Daily Metabolizable Energy Requirement During Winter
inferredcites →https://doi.org/10.4314/sajas.v35i4.3972openalex-snapshot
Effect of housing, initial weight and season on feedlot performance of steers in Iowa
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jsfa.10275openalex-snapshot
Contribution of connective tissue components, muscle fibres and marbling to beef tenderness variability in longissimus thoracis, rectus abdominis, semimembranosus and semitendinosus muscles
inferred← citeshttps://doi.org/10.1002/jsfa.9643openalex-snapshot
Assessment of cattle inter‐individual cluster variability: the potential of continuum data from the farm‐to‐fork for ultimate beef tenderness management
inferred← citeshttps://doi.org/10.1016/b978-0-323-85879-3.00023-4openalex-snapshot
Proteomics to explain and predict meat quality
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2022.101959openalex-snapshot
Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil
inferred← citeshttps://doi.org/10.1016/j.foodres.2019.108739openalex-snapshot
Meta-proteomics for the discovery of protein biomarkers of beef tenderness: An overview of integrated studies
inferred← citeshttps://doi.org/10.1016/j.inpa.2020.10.003openalex-snapshot
Lameness prediction in broiler chicken using a machine learning technique
inferred← citeshttps://doi.org/10.1016/j.jclepro.2025.144901openalex-snapshot
Relative return on assets in farms and its economic and environmental drivers. Perspective of the European Union and the Polish region Wielkopolska
inferred← citeshttps://doi.org/10.1016/j.livsci.2019.103823openalex-snapshot
Identification of combinations of influential rearing practices applied during the heifers’ whole life on the carcass quality by the decision tree method
inferred← citeshttps://doi.org/10.1016/j.livsci.2025.105751openalex-snapshot
Pre- and post-slaughter data can be used to discriminate sensory beef quality clusters in cull cows
inferred← citeshttps://doi.org/10.1016/j.meatsci.2020.108204openalex-snapshot
Influence of the rearing managements and carcass traits on the sensory properties of two muscles: Longissimus thoracis and rectus abdominis
inferred← citeshttps://doi.org/10.1016/j.meatsci.2021.108533openalex-snapshot
What is the impact of the rearing management applied during the heifers' whole life on the toughness of five raw rib muscles in relation with carcass traits?
inferred← citeshttps://doi.org/10.1016/j.meatsci.2024.109663openalex-snapshot
Electrical stimulation to improve meat quality: Factors at interplay, underlying biochemical mechanisms and a second look into the molecular pathways using proteomics
inferred← citeshttps://doi.org/10.1016/j.talanta.2024.126199openalex-snapshot
Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI)
inferred← citeshttps://doi.org/10.1021/acs.jafc.8b05744openalex-snapshot
Data from the Farmgate-to-Meat Continuum Including Omics-Based Biomarkers to Better Understand the Variability of Beef Tenderness: An Integromics Approach
inferred← citeshttps://doi.org/10.1038/s41598-024-78087-xopenalex-snapshot
Effects of intensive and conventional farming on oxidative stress and meat quality biomarkers in holstein and simmental cattle
inferred← citeshttps://doi.org/10.1071/an25314openalex-snapshot
Multiple regression and principal component analysis to study carcass and meat quality characteristics of beef cattle
inferred← citeshttps://doi.org/10.1080/1828051x.2021.1988738openalex-snapshot
Determination of rearing practices combinations increasing the carcase weight according to the heifers slaughter age by the decision tree method
inferred← citeshttps://doi.org/10.1080/1828051x.2024.2346261openalex-snapshot
Exploring rearing factors to predict potential sensory quality of heifer meat throughout the farm-to-fork continuum
inferred← citeshttps://doi.org/10.1080/1828051x.2024.2407968openalex-snapshot
Prediction of the sensory quality of longissimus beef of three cattle categories from rearing factors characterising the rearing management
inferred← citeshttps://doi.org/10.1093/jas/skac042openalex-snapshot
Tandem mass tag labeling to assess proteome differences between intermediate and very tender beef steaks
inferred← citeshttps://doi.org/10.11606/d.74.2021.tde-03052021-145811openalex-snapshot
Efeito do tempo de maturação sobre a qualidade da carne de bovinos Nelore não-castrados
inferred← citeshttps://doi.org/10.14710/jati.16.1.52-61openalex-snapshot
PERANCANGAN DECISION RULE PADA PRODUKSI KULIT KIKIL SAPI DENGAN MENGGUNAKAN METODE DECISION TREE DI PABRIK TIGA BERSAUDARA
inferred← citeshttps://doi.org/10.15212/ijafr-2020-0141openalex-snapshot
Current research and emerging tools to improve fresh red meat quality
inferred← citeshttps://doi.org/10.17108/actagrovar.2024.65.2.57openalex-snapshot
Limousin választott borjak testméreteinek elemzése döntési fa eljárással egy törzstenyészetben
inferred← citeshttps://doi.org/10.18485/meattech.2023.64.1.3openalex-snapshot
Intrinsic and Extrinsic Factors Impacting Fresh Goat Meat Quality: An Overview
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5418303/v1openalex-snapshot
Sows experiencing more severe white line lesions and heel overgrowth and erosion had poorer farrowing performance, regardless of parity order, in Brazilian commercial herds
inferred← citeshttps://doi.org/10.22175/mmb.18387openalex-snapshot
Color Stability and Tenderness Attributes of Beef Longissimus Lumborum Steaks at 2 Different Aging Periods Are Impacted by Metabolic Characteristics
inferred← citeshttps://doi.org/10.33188/vetheder.1203378openalex-snapshot
Veteriner hekimliği alanında karar ağaçları uygulamalarının incelenmesi
inferred← citeshttps://doi.org/10.3389/fvets.2024.1400630openalex-snapshot
Claw lesion status in Brazilian commercial sow herds from 2013 to 2023
inferred← citeshttps://doi.org/10.3390/agriculture10100458openalex-snapshot
The Objectives of Farm Operations—Evidence from a Region in Poland
inferred← citeshttps://doi.org/10.3390/foods10010084openalex-snapshot
Understanding the Determination of Meat Quality Using Biochemical Characteristics of the Muscle: Stress at Slaughter and Other Missing Keys
inferred← citeshttps://doi.org/10.3390/foods15020396openalex-snapshot
Advances in Freezing and Thawing Meat: From Physical Principles to Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/foods8070274openalex-snapshot
Beef Tenderness Prediction by a Combination of Statistical Methods: Chemometrics and Supervised Learning to Manage Integrative Farm-To-Meat Continuum Data
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