Estimating microbial population counts by 'most probable number' using Microsoft Excel®

Journal of Microbiological Methods

Volumn 35, Issue 2, 1999, Pages 157-161

  Briones Jr , Aurelio M ^a   Reichardt, Wolfgang ^a  

^a INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

Author keywords

Computer software; Counts; Microbial populations; Microsoft Excel; Most probable number

Indexed keywords

ARTICLE; BACTERIAL COUNT; COMPUTER PROGRAM; POPULATION DYNAMICS; PRIORITY JOURNAL;

EID: 0033104151     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(98)00111-0     Document Type: Article

References (9)

1. Alexander, M., 1982. Most probable number method for microbial populations. In: Page, A.L., Miller, R.H., Keeney, D.R. (Eds.), Methods of Soil Analysis, Part 2, 2nd Ed. American Society of Agronomy, Madison, WI, pp. 815-820.
2. Brockwell, J., 1963. Accuracy of a plant-infection technique for counting populations of Rhizobium trifolii. Appl. Microbiol. 11, 377-383.
3. Clarke, K.R., Owens, N.J.P., 1983. A simple and versatile microcomputer program for the determination of 'most probable number'. J. Microbiol. Methods 1, 133-137.
4. Cochran, W.G., 1950. Estimation of bacterial densities by means of the 'most probable number'. Biometrics 6, 105-116.
5. de Man, J.C., 1975. The probability of most probable numbers. Eur. J. Appl. Microbiol. 1, 67-78.
6. Fisher, R.A., Yates, F., 1943. In: Statistical Tables for Biological, Agricultural and Medical Research. Oliver and Boyd Ltd., London, pp. 6-8.
7. Halvorson, H.O., Ziegler, N.R., 1933. Application of statistics to problems in bacteriology. I. A means of determining bacterial population by the dilution method. J. Bacteriol. 25, 101-121.
8. Vincent, J.M., 1970. In: A Manual for the Practical Study of the Root Nodule Bacteria. Blackwell Scientific, Oxford and Edinburgh.
9. Woomer, P., Bennet, J., Yost, R., 1990. Overcoming the inflexibility of most-probable-number procedures. Agron. J. 82, 349-353.