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Veterinary Sciences|November 26, 2025
Comparative Prediction of Methane Production In Vitro Using Multiple Regression Model and Backpropagation Neural Network Based on Cornell Net Carbohydrate and Protein SystemGuanghui Yu, Zenghui Li, Ruilan DongJournal of Animal Physiology and Animal Nutrition|June 10, 2021
Estimating in vitro ruminal ammonia-N using multiple linear models and artificial neural networks based on the CNCPS nitrogenous fractions of cattle rations with low concentrate/roughage ratiosRuilan Dong, Guoqiang Sun, Guanghui YuAnimals : an Open Access Journal From MDPI|December 24, 2021
A Review of 3-Nitrooxypropanol for Enteric Methane Mitigation from Ruminant LivestockGuanghui Yu, Karen A Beauchemin, Ruilan DongVeterinary Sciences|November 26, 2025
Performance Comparison of the Prediction Models for Enteric Methane Emissions from Dairy CattleMimi Song, Yongliang Ren, Zenghui Li, et al.Veterinary Medicine and Science|May 13, 2022
Effects of riboflavin on boar sperm motility, sperm quality, enzyme activity and antioxidant status during cryopreservationRuilan Dong, Lan Luo, Xiaobin Liu, et al.Animals : an Open Access Journal From MDPI|April 23, 2022
Analysis of the Genetic Diversity and Family Structure of the Licha Black Pig Population on Jiaodong Peninsula, Shandong Province, ChinaYuan Wang, Ruilan Dong, Xiao Li, et al.Frontiers in Veterinary Science|July 21, 2025
Effects of hesperidin and ascorbic acid combination on boar sperm quality during cryopreservationRuilan Dong, Yupeng Dou, Min Zhang, et al.Genes|April 27, 2024
Detection and Analysis of Genes Affecting the Number of Thoracic Vertebrae in Licha Black PigsYuan Wang, Min Wang, Xiaojin He, et al.Asian-Australasian Journal of Animal Sciences|July 23, 2014
Relationship between the Methane Production and the CNCPS Carbohydrate Fractions of Rations with Various Concentrate/roughage Ratios Evaluated Using In vitro Incubation TechniqueRuilan Dong, Guangyong ZhaoPlos One|January 1, 2015
Predicting in vitro rumen VFA production using CNCPS carbohydrate fractions with multiple linear models and artificial neural networksRuilan Dong, Guangyong ZhaoPageof 22