Most Probable Number Counts

Methods of Soil Analysis, Part 2: Microbiological and Biochemical Properties

Volumn , Issue , 2018, Pages 59-79

  Woomer, Paul L ^a  

^a Tropical Soil Biology and Fertility Programme TSBF   (Kenya)

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Indexed keywords

EID: 85103230878     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.2136/sssabookser5.2.c5     Document Type: Chapter

References (19)

1. Alexander, M. 1982. Most probable number method for microbial populations. p. 815-820 In A.L. Page et al. (ed.) Methods of soil analysis. Part 2. 2nd ed. Agron. Monogr. 9 ASA and SSSA, Madison, WI
2. American Public Health Association. 1985. Estimation of bacterial density. p. 802-804. In Standard methods for the examination of water and wastewater. 16th ed. American Public Health Assoc., Washington, DC
3. Brockwell, J. 1963. Accuracy of a plant-infection technique for counting populations of Rhizobium tritolii. Appl. Microbiol. 11:377-383
4. Brockwell, J., A. Diatloff, A.L. Garcia, and A.C. Robinson. 1975. Use of wild soybean (Glycine ussuriensis Regel and Maack) as a test plant in dilution-nodulation frequency tests for counting Rhizobium japonicum. Soil BioI. Biochem. 7:305-311
5. Cochran, W.G. 1950. Estimation of bacterial densities by means of the "most probable number." Biometrics 6:105-116
6. deMan, J.C. 1975. The probability of most probable numbers. Eur. J. Appl. Microbiol 1:67-78
7. Halvorson, H.O., and A. Moeglein. 1940. Application of statistics to problems in bacteriology V. The probability of occurrence of various experimental results. Growth 4:157- 168
8. Halvorson, H.O., and N.R. Ziegler. 1933. Applications of statistics to I?roblems in bacteriology I. A means of determining bacterial population by the dilutIOn method. J. Bacteriol 25:101-12l
9. Kingsley, M.T., and B.B. Bohlool. 1981. Release of Rhizobium spp. from tr0f.ical soils and recovery for immunofluorescence enumeration. Appl. Environ. Microbio .42:241-248
10. Porter, W.M. 1979. The "most probable number" method for enumerating infective propagules of vesicular arbuscular mycorrhizal fungi in soil. Aust. J. Soil Res. 17:515- 519
11. Schmidt, E.L., R.O. Bankole, and B.B. Bohlool. 1968. Flourescent-antibody approach to study of rhizobia in soil. J. Bacteriol. 95:1987-1992
12. Scott, J .M., and EE. Porter. 1986. An analysis of the accuracy of a plant infection technique for counting rhizobia. Soil BioI. Biochem. 18:355-362
13. Stevens, W.L. 1958. Dilution series: A statistical test of technique. J. R. Stat. Soc. Ser. B 20:205-214
14. Vincent, J.M. 1970. A manual for the practical study of the root nodule bacteria. Blackwell Scientific Publ., Oxford and Edinburgh
15. Weaver, R. W., and L;R. Frederick. 1972. A new technique for most-probable-number counts of rhizobia. Plant Soil 36:219-222
16. West, P.A., and M.R. Coleman. 1986. A tentative national reference procedure for isolation and enumeration of Escherichia coli for bivalve molluscan shellfish by most probable number method. J. Appl. Bacteriol. 1:505-516
17. Woodward, R.L. 1957. How probable is the most probable number. J. AWWA 49:1060-1068
18. Woomer, P., J. Bennet, and R. Yost. 1990. Overcoming the inflexibility of most-probablenumber procedures Agron. J. 82:349-353
19. Woomer, P., P.W. Singleton, and B.B. Bohlool. 1988. Reliability of the most-probablenumber technique for enumerating rhizobia in tropical soils. Appl. Environ. Microbiol 54:1494-1497