A5065279514- Genetic and phenotypic traits in livestock
- Meat and Animal Product Quality
- Milk Quality and Mastitis in Dairy Cows
- Identification and Quantification in Food
- Reproductive Physiology in Livestock
- Extracellular vesicles in disease
- Animal Diversity and Health Studies
- Ruminant Nutrition and Digestive Physiology
- Wheat and Barley Genetics and Pathology
- MicroRNA in disease regulation
- Effects of Environmental Stressors on Livestock
- Spectroscopy and Chemometric Analyses
- Genetic Mapping and Diversity in Plants and Animals
- Animal Disease Management and Epidemiology
- Advanced Neural Network Applications
- Immunotherapy and Immune Responses
- Reproductive Biology and Fertility
- Bee Products Chemical Analysis
- Infant Nutrition and Health
- Rangeland Management and Livestock Ecology
- Advanced Chemical Sensor Technologies
- Advanced Technologies in Various Fields
- Nutrition, Health and Food Behavior
- Infrared Target Detection Methodologies
- Ovarian function and disorders
Huazhong Agricultural University
2021-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Dalian Maritime University
2023
Intestinal epithelial cells (IECs) play crucial roles in forming an essential barrier, providing host defense against pathogens and regulating nutrients absorption. Milk-derived extracellular vesicles (EVs) within its miRNAs are capable of modulating the recipient cell function. However, differences between colostrum mature milk EVs their biological function attenuating intestinal injury remain poorly understood. Thus, we carried out present study to characterize difference milk-derived...
Adulteration of higher priced milks with cheaper ones to obtain extra profit can adversely affect consumer health and the market. In this study, pure buffalo milk (BM), goat (GM), camel (CM), their mixtures 5–50% (vol/vol) cow or water were used. Mid-infrared spectroscopy (MIRS) combined modern statistical machine learning was used for discrimination quantification adulteration in BM, GM, CM. Compared partial least squares (PLS), learning—especially support vector machines (SVM), projection...
There is an evident requirement for a rapid, efficient, and simple method to screen the authenticity of milk products in market. Fourier transform infrared (FTIR) spectroscopy stands out as promising solution. This work employed FTIR modern statistical machine learning algorithms identification quantification pasteurized adulteration. Comparative results demonstrate will improve ability predict adulteration compared partial least square (PLS). To discern types substances utilized...
<h2>ABSTRACT</h2> Accurate identification of cows' likelihood conception during the period from recent calving to first artificial insemination (AI) will provide assistance in managing fertility dairy cows and contribute economic prosperity sustainability farm. The purpose this study was use FTIR spectroscopy collected predict cow's AI, or second AI. This specifically focused on role spectral farm data at different time windows improving accuracy model for predicting From 2019 2023,...
A robust model of buffalo milk based on Fourier Transform Mid-Infrared Spectroscopy (FT-MIRS) is lacking and difficult to complete quickly. Therefore, this study used 614 samples from two farms south central China for FT-MIRS explore the potential predicting fat, protein, total solids (TS), providing a rapid detection technology determination composition content. It also explored transformation application in spatio-temporal dimensions, reference strategies new models establishment models....
Reference methods for determining the contents of functional traits in camel milk are expensive and complex, hindering their widespread use. Mid‐infrared technology has advantages fast, economic, batch processing dairy detection. In present study, mid‐infrared spectroscopy ( MIRS ) prediction models previously established based on cow were used to predict 1101 Bactrian samples terms fat, protein, lactose, total solids, casein, β‐casein, K, Ca, Na Mg contents. The ‐predicted values 10 close...
Estrus is crucial for cow fertility in modern dairy farms, but almost 50% of cows do not show the behavioral signs estrus due to silent and lack suitable high-accuracy methods detect estrus. MiRNA exosomes play essential roles reproductive function may be developed as novel biomarkers detection. Thus, we analyzed miRNA expression patterns milk during effect on hormone secretion cultured bovine granulosa cells vitro. We found that number exosome protein concentration estrous were...
Microsatellite markers, also known as short tandem repeats (STRs), are important for marker-assisted selection to detect genetic polymorphism, and they uniformly distributed in eukaryotic genomes. To analyze the relationship between microsatellite loci lactation traits of Holstein cows Xinjiang, 175 lactating with similar birth dates, same parity, calving dates were selected, 10 STR closely linked quantitative trait used correlation each locus four (daily milk yield, fat percentage, protein...
Fatty acid is an important factor affecting the nutritional quality of milk. In this study, we collected and assessed 78,086 milk samples from 12,065 Chinese Holstein cows 11 farms in Northern China November 2019 to September 2022. The contents eight fatty groups were predicted using FT-MIRS-based models. TFAs, SFAs, UFAs, MUFAs, PUFAs, LCFAs reached highest at 96-125 DIM, SCFA MCFA 276-305 DIM. With increase somatic cell score, various gradually decreased, value flavor dairy products...
Fourier Transform Mid-Infrared Spectroscopy (FT-MIRS) can be used for quantitative detection of milk components. Here, samples 458 Chinese Holstein cows from 11 provinces in China were collected and we established a total 22 prediction models fatty acids by FT-MIRS. The coefficient determination the validation set ranged 0.59 (C18:0) to 0.76 (C4:0). adopted predict 2138 new high-throughput computing software HiBLUP was employed construct multi-trait model estimate analyze genetic parameters...
Milk spectral data on 2118 cows from nine herds located in northern China were used to access the association of days open (DO). Meanwhile, parity and calving season dairy also studied characterize difference DO between groups these two cow-level factors. The result linear mixed-effects model revealed that no significant differences observed groups. However, a exists interaction presented primiparous always exhibit lower among all groups, variation was especially clearer winter. Survival...
Abstract Mid-infrared spectra (MIRS) can effectively reflect the chemical bonds in milk, which has been widely used dairy herd improvement. However, relationship between MIRS and animal evolution remains largely unclear. This study firstly found great differences components of milk by analyzing information 12 different mammal species. A five-level discriminant model evolutionary level based on was established with a test set kappa coefficient >0.97. In addition, regression genetic...
Abstract Microsatellite markers, also known as short tandem repeats (STRs), are important for marker-assisted selection to detect genetic polymorphism, and they uniformly distributed in eukaryotic genomes. To analyze the relationship between microsatellite loci lactation traits of Holstein cows Xinjiang, 175 lactating with similar birth dates, same parity, calving dates were selected, 10 STR closely linked quantitative trait used correlation each locus 4 (daily milk yield, fat percentage,...
YOLOv5 is one of the target detection algorithms with fast speed and high accuracy, but it has problems insufficient sensory field low accuracy small detection. In order to solve above problems, an improved network model, i.e., YOLOv5-TI model based on attention mechanism, proposed. The module added backbone when extracting features improve input are shifted windowed for self-attention calculation effectively utilize accuracy; proposed experimented self-built inland infrared dataset, mAP...
Efficient reproductive management of dairy cows depends primarily upon accurate estrus identification. However, the currently available detection methods, such as visual observation, are poor. Hence, there is an urgent need to discover novel biomarkers in non-invasive bodily fluids milk reliably detect status. Proteomics emerging and promising tool identify biomarkers. In this study, proteomics approach was performed on sampled from non-estrus potential estrus. Dairy were synchronized timed...