Jiahui Liu

Dr. Jiahui Liu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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13 November 2018 in Aquaculture Research
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Journal Article
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JLJiahui Liu
Jiahui Liu
JZJingjing Zheng
Jingjing Zheng
JLJianyong Liu
Jianyong Liu
Genetic parameters were estimated for growth‐related traits and survival of the Kuruma shrimp Marsupenaeus japonicus based on 66 families, including 30 paternal half‐sib families, which were obtained using artificial insemination of two females by each male. The variance components for growth‐related trait and survival were estimated using a single‐trait animal model and a sir‐dam model, respectively, and genetic parameters were estimated using the restricted maximum likelihood method. The coefficients of variation for growth‐related traits such as body length (BL), abdominal length (AL), and body weight (BW) were 9.36%–22.44%, 10.61%–21.92%, and 26.47%–58.33%, respectively, at different ages (45, 75, 105, 135, and 165 days). The corresponding heritability estimates for each growth trait were 0.1545–0.1951, 0.1672–0.1905, and 0.1596–0.1934, respectively, all of which were found to be at moderate levels and increased with age. The heritability of survival on day 165 was low (0.003). The genetic correlations among growth traits were positive and high (0.7316–0.9896) at the different ages, suggesting that selection to improve any single growth trait will cause positive responses in other growth traits examined in M. japonicus. The genetic correlations between growth traits and survival were also positive but low (0.005–0.087), which indicated that only selecting for growth traits may not cause a positive correlated response in the survival of the core population. According to the above results, we suggested that growth and survival traits should be taken as improving targets of breeding in M. japonicus. These results provided reference data for selective breeding and multitrait selection of M. japonicus.

1 April 2014 in Journal of Thermal Biology
Verified
Journal Article
Closed access
HWHui Wang
Hui Wang
JLJiahui Liu
Jiahui Liu
YHYang Hongshuai
Yang Hongshuai
LJLiu Jin
Liu Jin
LZLiu Zhigang
Liu Zhigang

18 August 2025 in Fishes
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JLJiahui Liu
Jiahui Liu
ZHZhiguo Hu
Zhiguo Hu
CSChaoqun Su
Chaoqun Su
TYTiezhu Yang
Tiezhu Yang
CLChunxiang Li
Chunxiang Li
XGXusheng Guo
Xusheng Guo
The oriental river prawn (Macrobrachium nipponense) is one of the most popular freshwater prawn in China. In order to study the relationships between morphometric traits and body mass across different geographical locations and provide references of phenotypic traits for the breeding of M. nipponense, we collected wild M. nipponense from three locations (main stream, HH; Suyahu Reservoir, SYH; and Wuyue Reservoir, WY) in the upper reaches of the Huaihe River, China, and measured 26 morphometric traits and body masses. We found that the coefficient of variation of body mass varied from 31.88% to 59.27% across the three populations, exceeding that of morphometric traits within each population. All 26 morphometric traits, except for the fourth abdominals somite length in the WY population, were observed to correlate significantly positively with body mass (p < 0.05). A path analysis indicated that propodus length, body length, ischium length, carapace height, and second abdominals somite length in the HH population; body length, propodus length, abdominal height, sixth abdominals somite length, and telson length in the SYH population; and body length, carapace height, fifth abdominals somite length, and abdominal height in the WY population significantly affected body mass directly (p < 0.05). Comparing the pathway analysis with the grey relation analysis, we can conclude that the trait most correlated with body mass was body length across the three geographical populations. These findings provide references of waiting morphological traits for M. nipponense selective breeding in different geographical populations.

1 January 2025 in Aquaculture Nutrition
Verified
Journal Article
Open access
PXPengwei Xun
Pengwei Xun
QHQianqian Huang
Qianqian Huang
HLHeizhao Lin
Heizhao Lin
Dexiang FengDexiang Feng
Dexiang Feng
SAShengzhe An
Shengzhe An
WYWei Yu
Wei Yu
This study aims to investigate the effects of potassium diformate (KDF) and sodium propionate (NaP) on gut digestive and immune functions, intestinal microbiota, and lipid metabolites of Trachinotus ovatus based on multiomics approach. Juvenile T. ovatus (initial weight: 8.65 ± 0.02 g) were subjected to a 56‐day feeding regimen. Three isonitrogenous and isolipidic diets, including the control (CG), an additional 6.6 g/kg of KDF, and an additional 6.0 g/kg of NaP were fed to juvenile fish twice daily. Results showed that KDF and NaP supplementation significantly increased the activities of chymotrypsin (Chy), lipase (Lip), α‐amylase (α‐amy), creatine kinase (CK), Na + K + ‐ATPase (Na + K + ‐ATP), γ‐glutamyl transferase (γ‐GT), alkaline phosphatase (AKP), glutathione peroxidase (GSH‐Px), total antioxidant capacity (T‐AOC), and superoxide dismutase (SOD) as well as the expression level of Nrf2 ( p < 0.05), while decreased the pH value, malondialdehyde (MDA) content and the mRNA level of Keap1 ( p < 0.05). Dietary KDF and NaP markedly enhanced microbial α‐diversity and induced significant shifts in microbiota composition through selective modulation of bacterial populations, such as Photobacterium , Mycoplasma , and Mycobacterium ( p < 0.05). Besides, KDF and NaP led to notable alterations in the intestinal metabolite lipidome through increasing short‐chain fatty acids (SCFAs) levels, upregulating the abundance of phosphatidylcholine (PC), phosphatidylethanolamine, methyl PC (MePC), lysophosphatidic acid, ceramide (Cer), sitosteryl, monogalactosyldiacylglycerol, coenzyme, and lysophosphatidylethanolamine and downregulating the abundance of sphingomyelin and monoglyceride ( p < 0.05). The assessment of associations revealed inverse relationships of digestive and antioxidative indices with Photobacterium , but positive correlations with Mycoplasma , Mycobacterium , Ruegeria , Synechococcus , Nautella , Turicibacter , and Roseovarius . This study advances our understanding of KDF and NaP on intestinal health.

26 August 2025 in Israeli Journal of Aquaculture - Bamidgeh
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Journal Article
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JLJiahui Liu
Jiahui Liu
ZHZhiguo Hu
Zhiguo Hu
CSChaoqun Su
Chaoqun Su
GYGaoyou Yao
Gaoyou Yao
JLJia Li
Jia Li
RHRongjing Huang
Rongjing Huang
The Siberian prawn Exopalaemon modestus is a commercial freshwater shrimp with high nutritional value in China. To analyze the influence of morphometric traits on the body weight of E. modestus and identify effective indicators for breeding programs of E. modestus , we analyzed the correlations between 12 morphometric traits and body weight using correlation analysis, path analysis, multiple regression analysis, and grey relational analysis. Path analysis showed that body length (BL), carapace height (CH), carapace width (CW), and abdominal width (AW) significantly affect body weight (BW) directly ( P < 0.05). BL had the most significant direct effect (0.721) on body weight. The total determination coefficients of four significant morphometric traits on body weight were 0.906 (>0.85), indicating that substantial morphometric traits explained 90.6% of BW variation. The regression equation was constructed as BW=-1.666+0.049BL+0.045CH+0.035CW+0.021AW ( P < 0.01, R² = 0.906). Grey relational analysis identified that the trait most correlated with BW was BL (relational grade = 0.952), followed by carapace length (CL), abdominal length (AL), and CH. Combined with path analysis and grey relational analysis, BL and CH were the key morphometric traits influencing the body weight of E. modestus . These results provided references for candidate morphometric traits for E. modestus selective breeding programs.

21 October 2025 in Fishes
Verified
Journal Article
Open access
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LZLiangjie Zhao
Liangjie Zhao
ZHZhiguo Hu
Zhiguo Hu
CDCongying Duan
Congying Duan
RZRu Zhang
Ru Zhang
JLJiahui Liu
Jiahui Liu
XGXusheng Guo
Xusheng Guo
Dress-out traits, such as abdominal meat weight and abdominal meat percentage, are difficult to improve through direct selection in aquatic species due to the lack of reliable measurement methods. To facilitate the prediction of these traits from morphological characteristics in live prawn, Exopalaemon modestus, a total of 518 individuals were collected in 2025 from Suyahu Reservoir in the upper Huaihe River, China. After excluding individuals with incomplete appendages and egg-bearing females, 301 prawns were randomly selected for model development, and the remaining 60 were used for validation. Based on integrated grey relational analysis and path analysis, body mass was identified as the most effective predictor of abdominal meat weight (p < 0.01), explaining 92.1% of the variation when used as the sole variable in the model. Residual analysis and cross-validation confirmed the adequacy and applicability of the abdominal meat weight model. In contrast, morphological traits exhibited low explanatory power for abdominal meat percentage, with all traits together explaining only 19.2% of the variance, indicating their inability to effectively predict this trait. Therefore, in breeding programs for E. modestus, indirect improvement in abdominal meat weight can be achieved via direct selection for increased body mass. However, abdominal meat percentage is not recommended as a target trait for genetic improvement.