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Simple Summary: The aim of this study was to describe the basic status of milk production traits of Chinese Holstein cows in Jiangsu, and locate the QTLs and functional genes that affect the five milk production traits (milk yield, milk fat percentage, milk fat yield, milk protein percentage, and milk protein yield) of first-born cows. The five milk production traits showed significant phenotypic positive correlation and high genetic positive correlation among the three parities, and we identified 1731 CNVs and 236 CNVRs in the 29 autosomes of 4173 Holstein dairy cows, and 19 CNVRS were significantly associated with milk production traits. The study introduced the basic status of the milk production traits of Chinese Holstein cows in Jiangsu province, and 19 CNVRs were identified to be significantly related to milk production traits of Chinese Holstein cows in the first fetus. This study will provide a theoretical basis for molecular marker-assisted selection of dairy cows, help to analyze the genetic structure of milk production traits of dairy cows, and contribute to the genetic improvement of Chinese Holstein cattle in Jiangsu. Milk production traits are the most important quantitative economic traits in dairy cow production; improving the yield and quality of milk is an important way to ensure the production efficiency of the dairy industry. This study carried out a series of in-depth statistical genetics studies and molecular analyses on the Chinese Holstein cows in the Jiangsu Province, such as descriptive statistics and copy number variation analysis. A genetic correlation, phenotypic correlation, and descriptive statistical analysis of five milk production traits (milk yield, milk fat percentage, milk fat yield, milk protein percentage, and milk protein yield) of the dairy cows were analyzed using the SPSS and DMU software. Through quality control, 4173 cows and their genomes were used for genomic study. Then, SNPs were detected using DNA chips, and a copy number variation (CNV) analysis was carried out to locate the quantitative trait loci (QTL) of the milk production traits by Perl program software Penn CNV and hidden Markov model (HMM). The phenotypic means of the milk yield, milk fat percentage, milk fat mass, milk protein percentage, and milk protein mass at the first trimester were lower than those at the other trimesters by 8.821%, 1.031%, 0.930%, 0.003%, and 0.826%, respectively. The five milk production traits showed a significant phenotypic positive correlation (p < 0.01) and a high genetic positive correlation among the three parities. Based on the GGPBovine 100 K SNP data, QTL-detecting research on the fist-parity milk performance of dairy cows was carried out via the CNV. We identified 1731 CNVs and 236 CNVRs in the 29 autosomes of 984 Holstein dairy cows, and 19 CNVRs were significantly associated with the milk production traits (p < 0.05). These CNVRs were analyzed via a bioinformatics analysis; a total of 13 gene ontology (GO) terms and 20 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were significantly enriched (p < 0.05), and these terms and pathways are mainly related to lipid metabolism, amino acid metabolism, and cellular catabolic processes. This study provided a theoretical basis for the molecular-marker-assisted selection of dairy cows by developing descriptive statistics on the milk production traits of dairy cows and by locating the QTL and functional genes that affect the milk production traits of first-born dairy cows. The results describe the basic status of the milk production traits of the Chinese Holstein cows in Jiangsu and locate the QTL and functional genes that affect the milk production traits of the first-born cows, providing a theoretical basis for the molecular-marker-assisted selection of dairy cows. [ABSTRACT FROM AUTHOR]

Antimicrobials are the most important therapy to bovine mastitis. Bacterial infection and antibiotic treatment of mastitis cycles frequently in dairy farms worldwide, giving rise to concerns about the emergence of multidrug‐resistant (MDR) bacteria. In this study, we examined the microbial diversity and antibiotic resistance profiles of bacteria isolated from raw milk from dairy farms in Jiangsu and Shandong provinces, China. Raw milk samples were collected from 857 dairy cattle including 800 apparently healthy individuals and 57 cows with clinical mastitis (CM) and subjected to microbiological culture, antimicrobial susceptibility assay and detection of antibiotic‐resistant genes by polymerase chain reaction (PCR) and sequencing. A total of 1,063 isolates belonging to 41 different bacterial genera and 86 species were isolated and identified, of which Pseudomonas spp. (256/1,063, 24.08%), Staphylococcus. spp. (136/1,063, 12.79%), Escherichia coli (116/1,063, 10.91%), Klebsiella spp. (104/1,063, 9.78%) and Bacillus spp. (84/1,063, 7.90%) were most frequently isolated. K. pneumoniae, one of the most prevalent bacteria, was more frequently isolated from the farms in Jiangsu (65/830, 7.83%) than Shandong (1/233, 0.43%) province, and showed a positive association with CM (p <.001). The antimicrobial susceptibility assay revealed that four of the K. pneumoniae isolates (4/66, 6.06%) were MDR bacteria (acquired resistance to ≥three classes of antimicrobials). Furthermore, among 66 isolates of K. pneumoniae, 21.21% (14/66), 13.64% (9/66) and 12.12% (8/66) were resistant to tetracycline, chloramphenicol and aminoglycosides, respectively. However, all K. pneumoniae isolates were sensitive to monobactams and carbapenems. The detection of antibiotic‐resistant genes confirmed that the β‐lactamase genes (blaSHV and blaCTX‐M), aminoglycoside modifying enzyme genes [aac(6′)‐Ib, aph(3′)‐I and ant(3″)‐I], tetracycline efflux pump (tetA) and transposon genetic marker (intI1) were positive in MDR isolates. This study indicated that MDR K. pneumoniae isolates emerged in dairy farms in Jiangsu province and could be a potential threat to food safety and public health. [ABSTRACT FROM AUTHOR]