Xiuying Liu

Dr. Xiuying Liu

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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13 May 2024 in Horticulturae
Verified
Journal Article
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XLXiuying Liu
Xiuying Liu
JYJunru Yu
Junru Yu
HDHeng-Nan Deng
Heng-Nan Deng
Anthocyanins are widely found in plants and have significant functions. The accurate detection and quantitative assessment of anthocyanin content are essential to assess its functions. The anthocyanin content in plant tissues is typically quantified by wet chemistry and spectroscopic techniques. However, these methods are time-consuming, labor-intensive, tedious, expensive, destructive, or require expensive equipment. Digital photography is a fast, economical, efficient, reliable, and non-invasive method for estimating plant pigment content. This study examined the anthocyanin content of Rosa chinensis petals using digital images, a back-propagation neural network (BPNN), and the random forest (RF) algorithm. The objective was to determine whether using RGB indices and BPNN and RF algorithms to accurately predict the anthocyanin content of R. chinensis petals is feasible. The anthocyanin content ranged from 0.832 to 4.549 µmol g−1 for 168 samples. Most RGB indices were strongly correlated with the anthocyanin content. The coefficient of determination (R2) and the ratio of performance to deviation (RPD) of the BPNN and RF models exceeded 0.75 and 2.00, respectively, indicating the high accuracy of both models in predicting the anthocyanin content of R. chinensis petals using RGB indices. The RF model had higher R2 and RPD values, and lower root mean square error (RMSE) and mean absolute error (MAE) values than the BPNN, indicating that it outperformed the BPNN model. This study provides an alternative method for determining the anthocyanin content of flowers.

16 January 2025 in Animals
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Journal Article
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XSXinlong Song
Xinlong Song
XLXiuying Liu
Xiuying Liu
XZXiaoao Zheng
Xiaoao Zheng
JSJian Song
Jian Song
ZYZhangqiang You
Zhangqiang You
JXJianli Xiong
Jianli Xiong
Members of the genus Batrachuperus are endemic to China and include seven described species, five of which are nationally protected salamanders in China. The Gongga Mountain National Nature Reserve (GGMNNR) is rich in animal and plant resources, including the Batrachuperus species. On 5 September 2022, the GGMNNR experienced the Luding earthquake, and this provided an opportunity to quantify the impact of a catastrophic events on the area of potentially suitable habitat for a rare species in the GGMNNR. The main objective of this study was to evaluate the impact of the Luding earthquake on the area of potentially suitable habitat for the Batrachuperus species by combining Maxent modeling, remote sensing image processing, and GIS methods. The results showed that precipitation, temperature, and slope were the most important variables affecting the distribution of the Batrachuperus species. Currently, suitable habitats accounted for 40.67% (1664.10 km2) of the studied area (4091.10 km2), and these areas were mainly distributed in the northern, western, and southern portions of the GGMNNR. The destruction caused by the earthquake accounted for 4.87% (199.34 km2) of the studied area, and only 1.97% (32.78 km2) of the suitable habitat of the Batrachuperus species was destroyed. These results indicated that although the Luding earthquake affected the habitat of the Batrachuperus species in the GGMNNR, its effect was small. These findings enhance our understanding of the distribution of the Batrachuperus species and the effect of the Luding earthquake on biodiversity in the GGMNNR.

24 August 2023 in Animal Biology
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XLXiuying Liu
Xiuying Liu
GLGuanglu Li
Guanglu Li
CLChangxiu Liu
Changxiu Liu
JXJianli Xiong
Jianli Xiong
Knowledge of life history is important for understanding population ecology. The genus Diploderma is one of the most diverse genera in the family Agamidae, and no data on the life history traits of Diploderma species have been reported to date. Here, the age and growth of a population of D. micangshanense were revealed using skeletochronology for the first time. Females have greater snout-vent length (SVL) than males, but the mean SVL did not significantly differ between the sexes. Age ranged from one to four years in both sexes, and mean ages were 2.24 ± 0.10 years for males and 2.28 ± 0.12 years for females. No significant sexual differences were detected in either age structure or mean age. Age and body size were significantly positively correlated in both sexes. The growth coefficient k (males: 0.510; females: 0.441) and growth rate (males: 4.33 ± 0.38; females: 4.91 ± 0.39) were similar in both sexes. These results have implications for the population dynamics and management of this species.

21 January 2026 in Animals
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Journal Article
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XLXiuying Liu
Xiuying Liu
CSChunhao Shen
Chunhao Shen
YXYuanhua Xu
Yuanhua Xu
JSJian Song
Jian Song
MLMin Lou
Min Lou
JXJianli Xiong
Jianli Xiong
Sexual dimorphism (SD) is a widespread phenomenon among animals and has attracted considerable interest in evolutionary biology. Most studies on SD have been limited to a single population, and few have focused on multiple populations. In this study, size and shape SD were evaluated in three populations of Batrachuperus karlschmidti, a hynobiid species endemic to China. SD was not found in body size, but was observed in body shape. Males had larger relative dimensions in head length, head width, forelimb length, forelimb width, hindlimb length, hindlimb width, and tail length. Conversely, females were larger in the relative dimension of interlimb distance. Sexual selection can account for SD in head and limbs, thereby enhancing male reproductive success. Conversely, fecundity selection drives SD in limbs, tail length, and interlimb distance, ultimately improving the reproductive ability of both sexes. Differences in sexual shape dimorphism (SShD) traits were also found among populations, which may be caused by dissimilar levels of selection forces in the environment. This study provides insight into identifying the causes that promote sexual dimorphism, as well as the degree of difference in SShD traits among populations.