Use of Statistics in Plant Biotechnology

Statistics and experimental design are important tools for the plant biotechnologist and should be used when planning and conducting experiments as well as during the analysis and interpretation of results. This chapter provides some basic concepts important to the statistical analysis of data obtained from plant tissue culture or biotechnological experiments, and illustrates the application of common statistical procedures to analyze binomial, count, and continuous data for experiments with different treatment factors as well as identifying trends of dosage treatment factors.

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References

  1. Little, T. M. and Hills, F. J. (eds.) (1978) Agricultural Experimentation: Design and Analysis. John Wiley and Sons, Inc., New York. Google Scholar
  2. Lentner, M. and Bishop, T. (eds.) (1986) Experimental Design and Analysis. Valley Book Company, Blacksburg, VA. Google Scholar
  3. Kempthorne, O. (ed.) (1973) The Design and Analysis of Experiments. Robert E. Krieger Publishing Co., Malabar, FL. Google Scholar
  4. Compton, M. E. (1994) Statistical methods suitable for the analysis of plant tissue culture data. Plant Cell Tiss. Org. Cult.37, 217–242. Google Scholar
  5. Compton, M.E. (2000) Statistical analysis of plant tissue culture data, in Plant Tissue Culture Concepts and Laboratory Exercises (Trigiano, R.N. and Gray, D.J., eds.), 2nd edition. CRC Press, Boca Raton, FL, pp. 61–74. Google Scholar
  6. Compton, M. E. (2004) Elements of in vitro research, in Plant Development and Biotechnology (Trigiano, R. N. and Gray, D. J., eds.), CRC Press, Boca Raton, FL pp. 55–71. ChapterGoogle Scholar
  7. Compton, M.E. and Mize, C.W. (1999) Statistical considerations for in vitro research: I—Birth of an idea to collecting data. In Vitro Cell. Dev. Biol., Plant35, 115–121. CASGoogle Scholar
  8. Anonymous (2004) SAS/STAT Software. SAS Institute. Accessed June 14, 2004; available at http://support.sas.com/rnd/app/da/stat.html.
  9. Anonymous (2004) SPSS. Accessed June 14 2004; available at http://www.spss.com/.
  10. Anonymous (2004) Systat Software, Inc. Software, Services, Solutions for the Statistics, Scientific Community. Accessed June 14 2004; available at http://www.systat.com/.
  11. Anonymous (2004) Minitab. Accessed June 14 2004; available at http://www.minitab.com.
  12. Anonymous (2004) STATISTIX. Accessed June 14 2004; available at http://www.statistix.com.
  13. Preece, J. E. (2000) Shoot organogenesis from petunia leaves, in Plant Tissue Culture Concepts and Laboratory Exercises, (Trigiano, R. N. and Gray, D. J., eds.), 2nd edition. CRC Press, Boca Raton, FL, pp. 167–173. Google Scholar
  14. Mize, C. W., Koehler, K. J., and Compton, M. E. (1999) Statistical considerations for in vitro research: II data to presentation. In Vitro Cell. Dev. Biol., Plant35, 122–126. ArticleCASGoogle Scholar
  15. Zar, J. H. (ed.) (1984) Biostatistical Analysis, second edition. Prentice-Hall, Inc., Upper Saddle River, NJ. Google Scholar
  16. Mize, C. W. and Chun, Y. W. (1988) Analysing treatment means in plant tissue culture research. Plant Cell Tissue Organ Cult.13, 201–217. ArticleGoogle Scholar
  17. Kleinbaum, D. G., Kupper, L. L., and Muller, K. E. (eds.) (1988) Applied Regression Analysis and Other Multivariable Methods. Second Edition. PWS-Kent Publishing Co., Boston. Google Scholar
  18. Mize, C. W. and Winistorfer, P. M. (1982) Application of subsampling to improve precision. Wood Sci.15, 14–18. Google Scholar
  19. Kuklin, A. I., Trigiano, R. N., Sanders, W. L., and Conger, B. V. (1993) Incomplete block design in plant tissue culture research. J. Plant Tiss. Cult. Meth.15, 204–209. ArticleGoogle Scholar
  20. Carmer, S. G. and Seif, R. D. (1963) Calculation of orthogonal coefficients when treatments are unequally replicated and/or unequally spaced. Agronomy J.55, 387–389. ArticleGoogle Scholar

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Authors and Affiliations

  1. School of Agriculture, University of Wisconsin-Platteville, Platteville, WI Michael E. Compton
  1. Michael E. Compton