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Genetic identification and reiterated captures suggest that the Astyanax mexicanus El Pachón cavefish population is closed and declining
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作者 Laurent Legendre Julie Rode +11 位作者 Isabelle Germon Marie Pavie Carla Quiviger Maxime Policarpo Julien Leclercq Stéphane Père Julien Fumey Carole Hyacinthe Patricia Ornelas-García Luis Espinasa Sylvie Rétaux Didier Casane 《Zoological Research》 SCIE CSCD 2023年第4期701-711,共11页
The sizes of Astyanax mexicanus blind cavefish populations of North-East Mexico are demographic parameters of great importance for investigating a variety of ecological,evolutionary,and conservation issues.However,few... The sizes of Astyanax mexicanus blind cavefish populations of North-East Mexico are demographic parameters of great importance for investigating a variety of ecological,evolutionary,and conservation issues.However,few estimates have been obtained.For these mobile animals living in an environment difficult to explore as a whole,methods based on capture-mark-recapture are appropriate,but their feasibility and interpretation of results depend on several assumptions that must be carefully examined.Here,we provide evidence that minimally invasive genetic identification from captures at different time intervals(three days and three years)can give insights into cavefish population size dynamics as well as other important demographic parameters of interest.We also provide tools to calibrate sampling and genotyping efforts necessary to reach a given level of precision.Our results suggest that the El Pachón cave population is currently very small,of an order of magnitude of a few hundreds of individuals,and is distributed in a relatively isolated area.The probable decline in population size in the El Pachón cave since the last census in 1971 raises serious conservation issues. 展开更多
关键词 CAVEFISH Population size Conservation SWABBING genetic identification
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Genetic Identification of a New Small Grain Dwarf Gene in Rice
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作者 WuCheng LIXiu-lan +3 位作者 DENGXiao-jian WANGPing-rong LIRen-duan YANGZhi-rong 《Rice science》 SCIE 2003年第1期11-15,共5页
The plant material used in the study was rice line 162d, a new small grain dwarf mutant. Polymorphic analysis of 221 SSR loci demonstrated that 162d derived from a semidwarf variety Shuhui 162 through mutation, and 16... The plant material used in the study was rice line 162d, a new small grain dwarf mutant. Polymorphic analysis of 221 SSR loci demonstrated that 162d derived from a semidwarf variety Shuhui 162 through mutation, and 162d and Shuhui 162 were just a pair of near isogenic lines. Genetic analysis of F_1 and F_2 populations suggested that dwarfism in 162d was controlled by a single recessive gene. Phenotypic characteristics of the mutant gene were that plant height was about a quarter of normal height, grain size about a quarter of normal size, leaf was short and broad, and seed setting rate was very low, compared with the near isogenic line Shuhui 162. The mutant gene was sensitive to gibberellin (GA_3) treatment and did not located on the region near the centromere of rice chromosome 5, where dl gene located. Therefore, it was concluded that the mutant gene of 162d was a new small grain dwarf gene in rice. 展开更多
关键词 RICE dwarf gene genetic identification genetic marker gene location near isogenic line
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Application of Genetic Algorithms in Identification ofLinear Time-Varying System 被引量:3
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作者 Zhichun Mu KeLiu +4 位作者 Zichao Wang Datai Yu D. Koshal D. Pearce Information Engineering School, University of Science & Technology Beijing, Beijing 100083, China School of Engineering, University of Brighton, Brighton, UK 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2000年第1期58-62,共5页
By applying genetic algorithms (GA) to on-line identification of linear time-varying systems; a number of modifications are made to the Simple Genetic Algorithm to improve the performance of the algorithm in identific... By applying genetic algorithms (GA) to on-line identification of linear time-varying systems; a number of modifications are made to the Simple Genetic Algorithm to improve the performance of the algorithm in identification applications. The simulation results indicate that the method is not only capable of following the changing parameters of the system, but also has improved the identification accuracy compared with that using the least square method. 展开更多
关键词 genetic algorithm system identification linear system
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