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《Journal Yellow Cattle Science》 2005-04
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Applications of Monte Carlo Simulation in Animal Breeding

HE Bao-li, LU Shao-xiong, LIAN Lin-sheng ( College ofAnimal Science and Technology, Yunnan Agricultural University, Kunming650201, China)  
Monte Carlo simulation is a method using stochastical simulation to seek the approximate solution of prob- lem by statistical analysis of random variable. The previous research results indicated that it is not only feasible but also reliable to make use of computer simulation to study theory and practical problems in animal breeding. It is necessary to establish an exact genetic model, and utilize a appropriate method to produce random number which has long period and excellent statistical characteristics. The simulation results of Monte Carlo method in animal breeding scheme, artificial se- lection, QTL mapping, and breed conservation provide powerful support for doing research of breeding theory and practi- cal breeding.
【Fund】: 云南省自然科学基金项目(2003C0047M);; 云南省教育厅科学研究基金项目(03Y399B)。
【CateGory Index】: S813.2
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【Co-citations】
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1 WANG Yu;LU Wen-xi;Bian Jian-min;AN Yong-kai;College of Environment and Resources, Jilin University;;Surrogate model of numerical simulation model of groundwater based on Wavelet Neural Network[J];中国环境科学;2015-01
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【Co-references】
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