Mingyung Lee

Texas A&M University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index374citations49works2.02yr avg
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Research Topics

Genetic and phenotypic traits in livestock(19), Ruminant Nutrition and Digestive Physiology(18), Effects of Environmental Stressors on Livestock(14), Animal Behavior and Welfare Studies(7), Agriculture, Soil, Plant Science(7)

Publications49 total

Evaluating dose-response patterns of a tannin extract blend on nutrient utilization and methane emissions in beef cattle
Journal of Animal Science·2026
Enhanced In Vitro System for Predicting Methane Emissions from Ruminant Feed
Fermentation·2025Open Access
273 Comparing the utility of machine learning algorithms in methane predictions from a global beef cattle database.
Journal of Animal Science·2025Open Access
174 Effects of tannin extract supplementation rate on beef cattle energy expenditure and nitrogen balance.
Journal of Animal Science·2025Open Access
Monitoring and manipulating autophagy in potato psyllids: impacts on accumulation and transmission of “ <i>Candidatus</i> Liberibacter solanacearum” haplotypes A and B
Microbiology Spectrum·2025· 1 citedOpen Access
Development of Machine Learning-Based Sub-Models for Predicting Net Protein Requirements in Lactating Dairy Cows
Animals·2025Open Access
Multi-Stage Data Processing for Enhancing Korean Cattle (Hanwoo) Weight Estimations by Automated Weighing Systems
Animals·2025· 1 citedOpen Access
Effects of dietary crude protein levels on growth performance, rumen characteristics, blood metabolites, and methane emissions in finishing Hanwoo steers
Animal Bioscience·2025· 1 citedOpen Access
Development of Machine Learning Models for Estimating Metabolizable Protein Supply from Feed in Lactating Dairy Cows
Animals·2025· 1 citedOpen Access
Dose–response effects of a mixed condensed and hydrolyzable tannin extract on methane production and diet digestibility using the in vitro gas production technique
Journal of Animal Science·2025Open Access
Development of individual models for predicting cow milk production for real-time monitoring
Computers and Electronics in Agriculture·2024· 2 cited
Mastitis Classification in Dairy Cows Using Weakly Supervised Representation Learning
Agriculture·2024· 4 citedOpen Access
Sensor-type agnostic heat detection in dairy cows using multi-autoencoders with shared latent space
Applied Soft Computing·2024· 3 cited
130 Meta-analysis of the impact of Quebracho and Chestnut tannin extract supplementation on the growth performance in growing and finishing beef cattle
Journal of Animal Science·2024Open Access
179 Charting the evolution of rumen microbial models from past to present
Journal of Animal Science·2024Open Access
PSXI-23 Development of sub-models to estimate protein requirements and supply of lactating dairy cows using machine learning algorithms
Journal of Animal Science·2024· 1 citedOpen Access
Concentrate supplementation: A way to mitigate enteric methane emissions in pregnant Hanwoo heifers
Korean Journal of Agricultural Science·2024Open Access
Development of a Model for Prediction of Partial Mixed Ration Intake in Lactating Dairy Cows using Support Vector Regression Algorithm and Sensor Data
Journal of the Korea Academia-Industrial cooperation Society·2024· 1 citedOpen Access
Repeatability of feed efficiency and its relationship with carcass traits in Hanwoo steers during their entire growing and fattening period
Animal Bioscience·2024· 3 citedOpen Access
Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content
Scientific Reports·2024· 13 citedOpen Access
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Frequent Co-authors

Seongwon Seo(38), Seoyoung Jeon(16), Hyunjin Cho(13), Luís O Tedeschi(11), Hamin Kang(8), Sinyong Jeong(7), Kwon-Kyoo Kang(7), Jordan Adams(6), Dae-Hyun Lee(6), Wang‐Hee Lee(5), Jakyeom Seo(4), J. Oh(4), Seokman Hong(4), EunKyu Park(3), M. H. M. R. Fernandes(3), Jaehwa Park(2), Jung Min Heo(2), Dong-Keun Kam(2), Jeong Hoon Kim(2), Seul Lee(2)