A5073916751- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Cancer-related molecular mechanisms research
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Animal Nutrition and Physiology
- Animal Behavior and Welfare Studies
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Animal Genetics and Reproduction
- Remote-Sensing Image Classification
- Meat and Animal Product Quality
- Peroxisome Proliferator-Activated Receptors
- Genetics and Plant Breeding
- Geochemistry and Geologic Mapping
- Advanced Computational Techniques and Applications
- Gene Regulatory Network Analysis
- Smart Agriculture and AI
- Geographic Information Systems Studies
- Genomics and Chromatin Dynamics
- Adipose Tissue and Metabolism
- Trace Elements in Health
- Genomics and Phylogenetic Studies
- Soil and Land Suitability Analysis
Zhejiang University
2019-2025
National Engineering Research Center for Information Technology in Agriculture
2015-2024
Ministry of Agriculture and Rural Affairs
2015-2024
Sanya University
2022-2024
Beijing Academy of Agricultural and Forestry Sciences
2019-2024
Chongqing Academy of Animal Science
2024
Animal Science Research Institute
2024
Animal Husbandry & Veterinary
2024
Xuzhou Medical College
2024
Shanghai Jiao Tong University
2012-2021
Most human diseases and agriculturally important traits are complex. Dissecting their genetic architecture requires continued development of innovative powerful statistical methods. Corresponding advances in computing tools critical to efficiently use these innovations enhance accelerate biomedical agricultural research applications. The genome association prediction integrated tool (GAPIT) was first released 2012 became widely used for genome‐wide studies (GWAS) genomic prediction. GAPIT...
Genome-Wide Association Studies shed light on the identification of genes underlying human diseases and agriculturally important traits. This potential has been shadowed by false positive findings. The Mixed Linear Model (MLM) method is flexible enough to simultaneously incorporate population structure cryptic relationships reduce positives. However, its intensive computational burden prohibitive in practice, especially for large samples. newly developed algorithm, FaST-LMM, solved problem,...
Next-generation sequencing (NGS) approaches are widely used in genome-wide genetic marker discovery and genotyping. However, current NGS not easy to apply general outbred populations (human some major farm animals) for SNP identification because of the high level heterogeneity phase ambiguity haplotype. Here, we reported a new method genotyping, called genotyping by genome reducing (GGRS) genotype species. Through an improved procedure library preparation pipeline, GGRS approach can species...
Mercury is one of the five most toxic heavy metals to human body. In order select a high-precision method for predicting mercury content in soil using hyperspectral techniques, 75 samples were collected Guangdong Province obtain by chemical analysis and data based on an indoor experiment. A multiple linear regression (MLR), back-propagation neural network (BPNN), genetic algorithm optimization BPNN (GA-BPNN) used establish relationship between predict content. addition, feasibility modeling...
Jinhua pig, a well-known Chinese indigenous breed, has evolved as pig breed with excellent meat quality, greater disease resistance and higher prolificacy. The reduction in the number of pigs over past years raised concerns about inbreeding. Runs homozygosity (ROH) along genome been applied to quantify individual autozygosity improve understanding inbreeding depression identify genes associated traits interest. Here, we investigated occurrence distribution ROH using next-generation...
Hu sheep, a famous breed in the Taihu Basin, has advantages of non-seasonal estrus, multiple fetuses, coarse feeding tolerance, and suitability for house feeding. Runs homozygosity (ROHs) were found to be an effective tool detect animal population structure economic traits. The detection ROHs is beneficial reducing incidence inbreeding as well identifying harmful variants genome. However, there lack systemic reports on ruminants previous studies ROHs. Here, we sequenced 108 detected sheep...
Soil heavy metals affect human life and the environment, thus, it is very necessary to monitor their contents. Substantial research has been conducted estimate map soil in large areas using hyperspectral data machine learning methods (such as neural network), however, lower estimation accuracy often obtained. In order improve accuracy, this study, a back propagation network (BPNN) was combined with particle swarm optimization (PSO), which led an integrated PSO-BPNN method used contents of...
Genotype-by-environment (G × E) interactions could play an important role in cattle populations, and it should be considered breeding programmes to select the best sires for different environments. The objectives of this study were G E female fertility traits Danish Holstein dairy population using a reaction norm model (RNM), detect particular genomic regions contributing performance these interactions. In total 4534 bulls genotyped by Illumina BovineSNP50 BeadChip. An RNM with...
Genomic prediction (GP) has revolutionized animal and plant breeding. However, better statistical models that can improve the accuracy of GP are required. For this reason, in study, we explored genomic-based performance a popular machine learning method, Support Vector Machine (SVM) model. We selected most suitable kernel function hyperparameters for SVM model eight published genomic data sets on pigs maize. Next, compared with RBF linear functions to two commonly used genome-enabled (GBLUP...
Abstract Pigs not only function as a major meat source worldwide but also are commonly used an animal model for studying human complex traits. A large haplotype reference panel has been to facilitate efficient phasing and imputation of relatively sparse genome-wide microarray chips low-coverage sequencing data. Using the imputed genotypes in downstream analysis, such GWASs, TWASs, eQTL mapping genomic prediction (GS), is beneficial obtaining novel findings. However, currently, there still...
Abstract The Beigang pig was recently identified as one of the endangered breeds during a Chinese indigenous genetic resource survey. breed is notable for its remarkable roughage tolerance and high reproductive capacity according to historical records. Morphologically, resembles many pigs in eastern China, especially large ears. This makes valuable reference studying mechanisms on ear size pigs. However, there currently lack clear understanding regarding structure inbreeding levels...
Matrix stiffness is a critical determinant of tumorigenesis and cancer progression. Transient receptor potential vanilloid 4 (TRPV4), mechanosensitive calcium channel, regulates angiogenesis stromal in various tumors. However, it unclear whether matrix the invasiveness nasopharyngeal carcinoma (NPC) cells through TRPV4. In this study, we found that increased NPC tissues correlated with advanced tumor stages. Furthermore, simulation high vitro upregulated TRPV4, migration, invasion,...
Abstract Transcriptome-wide association study (TWAS) is a powerful approach for investigating the molecular mechanisms linking genetic loci to complex phenotypes. However, complexity of TWAS analytical pipeline including construction gene expression reference panels, prediction, and analysis using data from genome-wide studies (GWAS) poses challenges in many species. In this study, we provide Farm Animal Genotype-Tissue Expression (FarmGTEx) TWAS-server, an interactive user-friendly...