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您的检索式：作者名="Nanshan QI"
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| 1 | High Prevalence of Eimeria Infection in Domestic Pigeons(Columba Livia Domestica) in Guangdong Province, Southern China显示文摘[Objective] This study aimed to make a survey of domestic pigeons for infection with Eimeria species of coccidia was conducted in Guangdong Province, southern China. [Method] A total of 244 fecal samples(102 from Huizhou, 83 from Jiangmen, 35 from Chaozhou and 24 from Guangzhou, respectively) in four pigeon breeding farms between June 2012 and March2013 were collected and examined microscopically. [Results] Eimeria oocysts were seen in 223(91.4%) fecal samples, with three species, namely E. labbeana, E.columbae and E. kapotei. E. labbeana was the most common species in Guangdong provinces with an overall prevalence of 91.4%, while a slightly lower incidence of E. columbae and E. kapotei species was detected with11.1% and 6.6%, representatively. The prevalence in different months varied ranging from 83.3% to 91.7%, with the highest prevalence in summer. Nestling groups showed obviously high infection than adult pigeons. [Conclusion] The present survey indicated the wide and severe prevalence of Eimeria infection in Guangdong domestic pigeons, which suggested that integrated measures should be taken to control and prevent coccidiosis of pigeons in this province. | Juan LI Xuhui LIN Caiyan WU Shenquan LIAO Nanshan QI Minna LV Mingfei SUN | 2016 | Agricultural Science & Technology2016，17，1： | 1 |
| 2 | Functional characterizations of malonyl-CoA:acyl carrier protein transacylase (MCAT) in Eimeria tenella显示文摘 | Mingfei Sun Guan Zhu Zonghua Qin Caiyan Wu Minna Lv Shenquan Liao Nanshan Qi Mingquan Xie Jianping Cai | 2012 | Molecular & Biochemical Parasitology2012，，1： | 1 |
| 3 | Classification and detection of dominant factors in geospatial patterns of traditional settlements in China显示文摘The geospatial distribution pattern in traditional Chinese settlements(TCSs)reflects the traditional harmony between humans and nature,which has been learned over centuries.However,TCSs have experienced serious disturbances by urbanization and migration.It is crucial to explore the local wisdom of geospatial patterns and dominant factors for TCSs at the national scale in China.This study sought to determine the geospatial wisdom of traditional settlements to enrich our future settlement development with the aim of establishing Chinese settlement values for modern living.Herein,a dataset of 4000 TCSs were analyzed and clustered for environmental factors that affect their geospatial patterns by machine learning algorithms.We concluded that(1)five geospatial patterns of TCSs were clustered on a national scale,and the threshold of environmental factors of TCS groups was detected.(2)Environmental conditions and settlement concepts interacted and determined the similarities and differences among TCS groups.(3)The key boundary for TCSs and the dominant factors for each zone were determined,and topographical conditions and hydrologic resources played significant roles in all five TCS zones.This study provides a better understanding of the adaptability of the environment in relation to the TCSs and aids in planning TCS conservation and rural revitalization. | WU Shaolin DI Baofeng Susan L.USTIN Constantine A.STAMATOPOULOS LI Jierui ZUO Qi WU Xiao AI Nanshan | 2022 | Journal of Geographical Sciences2022，32，5： | 0 |
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