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Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (11): 2052-2056.doi: 10.3724/SP.J.1006.2014.02052

• RESEARCH NOTES • Previous Articles    

Discussion of Multistage Sampling Optimum Test Plans on Rice Cadmium Detection for Jiangsu Province

WANG Wei1,3,SONG Wen2,YIN Shuang-Yi1,XU Chen-Wu1,*   

  1. 1 Group of Biostatistics and Experiment Design, College of Agriculture, Yangzhou University, Yangzhou 225009, China; 2 Institute of Food Safety and Inspection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; 3 Life Science and Technology College, Henan Institute of Science and Technology, Xinxiang 453003, China
  • Received:2014-04-03 Revised:2014-09-16 Online:2014-11-12 Published:2014-10-01

Abstract:

A three stage sampling survey as a real example was used to investigate the optimal plan of the sampling survey for cadmium in rice in Jiangsu Province. F-test showed that differences of the survey among cities and sampling villages were both very significant, and the error variance among cities was the largest in the experiment. In this paper, considering the survey expenses, the optimal sampling plan was explored under a certain accuracy. The results indicated that six cities were randomly sampled and twenty villages or agricultural extension stations were selected at random from each city, with twice sampling in each village in order to increase the precision of the survey. If there is a lack of funds, on the basis of ensuring the current sampling accuracy, we suggest that ten villages or agricultural extension stations from each city can be sampled alternatively.

Key words: Multistage sampling, Rice, Heavy metal, Optimal sampling plan

[1]Fu J J, Zhou Q F, Liu J M, Liu W, Wang T, Zhang Q H, Jiang G B. High levels of heavy metals in rice (Oryza sativa L.) from a typical E-waste recycling area in southeast China and its potential risk to human health. Chemosphere, 2008, 71: 1269–1275



[2]柯庆明, 梁康迳, 郑履端, 朱燕, 方辉, 梁义元, 郭玉春, 林文雄. 福建省水稻稻米重金属污染的对应分析. 应用生态学报, 2005, 16: 1918–1923



Ke X M, Liang K J, Zheng L D, Zhu Y, Fang H, Liang Y Y, Guo Y C, Lin W X. Corresponding analysis on rice grain heavy metal pollution in Fujian Province. Chin J Appl Ecol, 2005, 16(10): 1918–1923 (in Chinese with English abstract)



[3]Clemens S. Molecular mechanisms of plant metal tolerance and homeostasis. Planta, 2001, 212: 475–486



[4]张咪咪, 徐丽, 林筱文. 我国抽样调查方法的最新进展. 统计与决策, 2010, (8): 1



Zhang M M, Xu L, Lin X W. The latest progress of sampling methods in China. Statist & Decision, 2010, (8): 1 (in Chinese)



[5]李金昌. 应用抽样技术(第2版). 北京: 科学出版社, 2010. p 188



Li J C. Application of Sampling Techniques, 2nd edn. Beijing: Science Press, 2010. p 188 (in Chinese)



[6]莫惠栋. 农业试验统计(第2版). 上海: 上海科学技术出版社, 1992. p 287



Mo H D. Agricultural Experimentation, 2nd edn. Shanghai: Shanghai Scientific and Technical Publishers, 1992. p 287 (in Chinese)



[7]张宗秀, 高天雷, 张文. 双重二阶抽样提高森林资源抽样精度的研究. 四川林业科技, 2013, 34(5): 8–12



Zhang Z X, Gao T L, Zhang W. Double second stage sampling to improve sampling accuracy of forest resources research. J Sichuan For Sci & Technol, 2013, 34(5): 8–12 (in Chinese with English abstract)



[8]张启贤. 二阶抽样下样本容量的最优分配. 三明学院学报, 2008, 25(2): 134–137



Zhang Q X. Optimal allocation of survey sampling of two-stage sampling. J Sanming Univ, 2008, 25(2): 134–137 (in Chinese with English abstract)



[9]王文颖. 多阶段抽样的精度控制及样本量计算. 统计研究, 1997, (5): 66–70



Wang W Y. The precision control and sample size calculation of multistage sampling. Statist Res, 1997, (5): 66–70 (in Chinese with English abstract)



[10]姚淑霞, 张铜会. 随机抽样必要样本容量的确定方法及其应用. 干旱区研究, 2012, 29: 547–552



Yao S X, Zhang T H. A method for determining necessary sample size in random sampling and its application. Arid Zone Res, 2012, 29: 547–552 (in Chinese with English abstract)



[11]刘爱芹. 随机抽样中样本容量确定的影响因素分析. 山东财政学院学报, 2006, (5): 60–64



Liu A Q. Analysis of influencing factors in determination of sample size in random sampling. J Shandong Univ Finance, 2006, (5): 60–64

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