Huan Zhu

Ms. Huan Zhu

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 June 2023 in Animals
Verified
Journal Article
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HZHuan Zhu
Huan Zhu
RMRenfang Miao
Renfang Miao
XTXinxu Tao
Xinxu Tao
JWJianhao Wu
Jianhao Wu
LLLicheng Liu
Licheng Liu
YQYongli Qu
Yongli Qu
The present experiment was carried out to analyze the longitudinal changes in milk microorganisms. For this purpose, milk samples were collected from 12 healthy cows (n = 96; six primiparous cows and six multiparous cows) at eight different time points. The characteristics and variations in microbial composition were analyzed by 16S rRNA gene high-throughput sequencing. In the primiparous group, higher and more stable alpha diversity was observed in transitional and mature milk compared with the colostrum, with no significant difference in alpha diversity at each time point in the multiparous group. Proteobacteria, Firmicutes, Bacteroidota, and Actinobacteriota were the most dominant phyla, and Pseudomonas, UCG-005, Acinetobacter, Vibrio, Lactobacillus, Bacteroides, Serratia, Staphylococcus, and Glutamicibacter were the most dominant genera in both primiparous and multiparous cow milk. Some typically gut-associated microbes, such as Bacteroides, UCG-005, and Rikenellaceae_RC9_gut_group, etc., were enriched in the two groups. Biomarker taxa with the day in time (DIM) were identified by a random forest algorithm, with Staphylococcus showing the highest degree of interpretation, and the difference in milk microbiota between the two groups was mainly reflected in 0 d–15 d. Additionally, network analysis suggested that there were bacteria associated with the total protein content in milk. Collectively, our results disclosed the longitudinal changes in the milk microbiota of primiparous and multiparous cows, providing further evidence in dairy microbiology.

1 February 2024 in Animal Bioscience
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Journal Article
Open access
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LLLingyan Li
Lingyan Li
JQJiachen Qu
Jiachen Qu
HZHuan Zhu
Huan Zhu
YLYuqin Liu
Yuqin Liu
JWJianhao Wu
Jianhao Wu
YQYongli Qu
Yongli Qu
Objective: The objective of this study was to evaluate the growth performance, rumen fermentation parameters and bacterial community of post-weaning dairy calves in response to five diets varying in corn silage (CS) inclusion.Methods: A total of forty Holstein weaned bull calves (80±3 days of age;128.2±5.03 kg at study initiation) were randomized into five groups (8 calves/group) with each receiving one of five dietary treatments offered as total mixed ration in a 123-d feeding study. Dietary treatments were control diet (CON; 0% CS dry matter [DM]); Treatment 1 (T1; 27.2% CS DM); Treatment 2 (T2; 46.5% CS DM); Treatment 3 (T3; 54.8% CS DM); and Treatment 4 (T4; 67.2% CS DM) with all diets balanced for similar protein and energy concentration.Results: Results showed that calves offered CS had greater average daily gain, body length and chest depth growth, meanwhile altered rumen fermentation indicated by decreased rumen acetate concentrations. Principal coordinate analysis showed the rumen bacterial community structure was affected by varying CS inclusion diets. Bacteroidetes and Firmicutes were the predominant bacterial phyla in the calf rumens across all treatments. At the genus level, the abundance of Bacteroidales_RF16_group was increased, whereas Unclassified_ Lachnospiraceae was decreased for calves fed CS. Furthermore, Spearman’s correlation test between the rumen bacteria and rumen fermentation parameters indicated that Bacteroidales_RF16_group and Unclassified Lachnospiraceae were positively correlated with propionate and acetate, respectively.Conclusion: The results of the current study suggested that diet CS inclusion was beneficial for post-weaning dairy calf growth, with 27.2% to 46.5% CS of diet DM recommended to achieve improved growth performance. Bacteroidales_RF16_group and Unclassified Lachnospiraceae play an important role in the rumen fermentation pattern for post-weaning calves fed CS.

30 September 2022 in Indian Journal of Animal Research
Verified
Journal Article
Open access
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JQJ.C. Qu
J.C. Qu
CMC. Meng
C. Meng
LLL.Y. Li
L.Y. Li
HZHuan Zhu
Huan Zhu
Guoan YinGuoan Yin
Guoan Yin
Calf diarrhea is one of the most serious diseases in the dairy industry, which has caused huge economic losses to the worldwide dairy industry, including China. We conducted a meta-analysis to systematical assess the prevalence and associated risk factors of diarrhea among dairy calves in China. The China Science and Technology Journal, China National Knowledge Infrastructure (CNKI), Wan Fang and Pub Med databases were systematically searched from the inception dates to April 30, 2022, using keywords of prevalence, diarrhea, calves, key factors, determinants, related factors, causes, etiology, prevalence, epidemiology and China. A meta-analysis was performed to calculate 95% Cis using random-effects models. 35 studies reporting the prevalence of dairy calves’ diarrhea in China were selected upon our inclusion criterion. The pooled diarrhea prevalence in dairy calves in China was estimated to be 27.2% (95% CI 24.2-30.2). The results of our systematic review and meta-analysis revealed that the highest prevalence rate was found in Northeast China, followed by Northwest China and East China and the lowest two regions were Northern and central China. The main cause of diarrhea in calves is bacteria, the second is virus and the third is a parasite.