Xiaogang Cui

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Recently, RNA sequencing (RNA-seq) has rapidly emerged as a major transcriptome profiling system. Elucidation of the bovine mammary gland transcriptome by RNA-seq is essential for identifying candidate genes that contribute to milk composition traits in dairy cattle. We used massive, parallel, high-throughput, RNA-seq to generate the bovine transcriptome(More)
Our recent genome-wide association study (GWAS) has identified 105 genome-wide significant SNPs for milk production traits. Of these, one SNP (rs109661298) for milk fat percentage is located within the first intron of the bovine EEF1D gene on BTA14, thus that the EEF1D gene was considered as a novel candidate in dairy cattle. Until now, however, its genomic(More)
This paper quantitatively analyzs the map information of different scales in the range of the mapping scale by making use of landscape pattern index, and constructs an evaluation index system by the standard of cartographic generalization evaluation. It takes land use cartographic generalization in Da Xing agricultural region of Beijing for an example,(More)
With the Illumina BovineSNP50K BeadChip, we performed a genome-wide association study (GWAS) for two pigmentation traits in a Chinese Holstein population: proportion of black (PB) and teat colour (TC). A case-control design was used. Cases were the cows with PB <0.30 (n = 129) and TC <2 points (n = 140); controls were those with PB >0.90 (n = 58) and TC >4(More)
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