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David A. Ratkowsky

Researcher at University of Tasmania

Publications -  128
Citations -  8523

David A. Ratkowsky is an academic researcher from University of Tasmania. The author has contributed to research in topics: Eucalyptus obliqua & Species richness. The author has an hindex of 30, co-authored 120 publications receiving 7298 citations. Previous affiliations of David A. Ratkowsky include Hobart Corporation.

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Journal ArticleDOI

Global diversity and geography of soil fungi

Leho Tedersoo, +57 more
- 28 Nov 2014 - 
TL;DR: Diversity of most fungal groups peaked in tropical ecosystems, but ectomycorrhizal fungi and several fungal classes were most diverse in temperate or boreal ecosystems, and manyfungal groups exhibited distinct preferences for specific edaphic conditions (such as pH, calcium, or phosphorus).
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Relationship between temperature and growth rate of bacterial cultures.

TL;DR: A linear relationship between in square root of growth rate constant (r) and temperature (T), namely, square root = b (T - T0), where b is the regression coefficient and T0 is a hypothetical temperature which is an intrinsic property of the organism.
Journal ArticleDOI

Model for bacterial culture growth rate throughout the entire biokinetic temperature range.

TL;DR: The "square-root" relationship proposed by Ratkowsky et al. for modeling the growth rate of bacteria below the optimum growth temperature was extended to cover the full biokinetic temperature range and the least-squares estimators of the parameters of the model were almost unbiased and normally distributed.
Journal ArticleDOI

Modelling the growth rate of Escherichia coli as a function of pH and lactic acid concentration.

TL;DR: The growth rate responses of Escherichia coli M23 to suboptimal pH and lactic acid concentration were determined and growth rate was linearly related to hydrogen ion concentration in the absence of lactic Acid.
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Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid.

TL;DR: The models developed will improve the rigor of microbial food safety risk assessment and provide quantitative data in a concise form for the development of safer food products and processes.