Affects Milk Protein Content by Regulating Amino Acid Transporters and the PI3K-Akt, WNT, and mTOR Signaling Pathways.

Background: Calgranulin B () was found to be strongly associated with milk protein percentage in dairy cattle in our previous genome-wide association study.

Methods: SNPs in were identified via pooled sequencing, and genotyping of 1054 cows was performed individually using MassArray with MALDI-TOFMS technology. Association analyses between the SNPs and five milk production traits were conducted using SAS 9.

Improving multi-population genomic prediction accuracy using multi-trait GBLUP models which incorporate global or local genetic correlation information.

In the application of genomic prediction, a situation often faced is that there are multiple populations in which genomic prediction (GP) need to be conducted. A common way to handle the multi-population GP is simply to combine the multiple populations into a single population. However, since these populations may be subject to different environments, there may exist genotype-environment interactions which may affect the accuracy of genomic prediction.

Breed identification using breed-informative SNPs and machine learning based on whole genome sequence data and SNP chip data.

Background: Breed identification is useful in a variety of biological contexts. Breed identification usually involves two stages, i.e.

Longitudinal genome-wide association studies of milk production traits in Holstein cattle using whole-genome sequence data imputed from medium-density chip data.

Longitudinal traits, such as milk production traits in dairy cattle, are featured by having phenotypic values at multiple time points, which change dynamically over time. In this study, we first imputed SNP chip (50-100K) data to whole-genome sequence (WGS) data in a Chinese Holstein population consisting of 6,470 cows. The imputation accuracies were 0.

Why do Chinese enterprises make imitative innovation?-An empirical explanation based on government subsidies.

The previous literature analyzed the widespread imitative innovation of Chinese enterprises from various perspectives, including enterprises' rational choice of cost-gain, property rights system, human capital and policy environment. However, this paper provides a brand-new perspective on government subsidies for the reasons behind the imitative innovation of enterprises. According to the statistics from Chinese enterprise-labor matching, we found that government subsidies stimulated enterprises to make "imitative innovation" through patent purchase rather than independent R&D.

Supply Chain Management Practices Influence Supply Chain Performance With Mediation Role of Innovation and Moderation Role of Top Management Support.

The study focuses on supply chain management practices, innovation, top management commitment, and supply chain performance at companies. The study's main objective is to investigate the association between supply chain management practices and supply chain performance and the intervening effect of innovation, the interaction effect of top management commitment. In this study, a simple random sampling technique and the sample size selected with G power software ( = 208).

Assessment of the performance of different imputation methods for low-coverage sequencing in Holstein cattle.

Low-coverage sequencing (LCS) followed by imputation has been proposed as a cost-effective genotyping approach for obtaining genotypes of whole-genome variants. Imputation performance is essential for the effectiveness of this approach. Several imputation methods have been proposed and successfully applied in genomic studies in human and other species.

Towards a Cost-Effective Implementation of Genomic Prediction Based on Low Coverage Whole Genome Sequencing in Dezhou Donkey.

Low-coverage whole genome sequencing is a low-cost genotyping technology. Combined with genotype imputation approaches, it is likely to become a critical component of cost-effective genomic selection programs in agricultural livestock. Here, we used the low-coverage sequence data of 617 Dezhou donkeys to investigate the performance of genotype imputation for low-coverage whole genome sequence data and genomic prediction based on the imputed genotype data.

Characterization of the chloroplast genome of the .

In this study, we assembled the chloroplast genome of (Oleaceae), a rare evergreen tree native to Hainan, China. The genome of was 155,155 bp in length and contained a pair of inverted repeats (IR, 25,697-25,704 bp) regions, which were separated by the small single copy (SSC, 17,591 bp) and the large single copy (LSC, 86,225 bp) regions. The cp genome encoded 133 genes including 88 protein-coding genes, 37 tRNA genes, and eight rRNA ribosomal genes.