Determining Microbial Kinetic Parameters Using Nonlinear Regression Analysis

Robinson, J. A.

doi:10.1007/978-1-4615-9412-3_2

Cited by 200 publications

(148 citation statements)

References 78 publications

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“…Because linear regression analysis is much more straightforward than nonlinear curve fitting (Silver? 1979;Robinson 1985), we preferred to estimate our model parameters with Eq. 3 1 and 37 rather than 2 1.…”

Section: Discussionmentioning

confidence: 99%

A microalgal growth model

Laws

Chalup

1990

Limnology & Oceanography

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Recent experimental evidence has made it clear that effects of irradiance and nutrient limitation on light absorption and photosynthetic quantum yields of microalgae and the relationship between cellular N : C ratios and nutrient-limited growth rates are inconsistent with the assumptions and predictions of current models of algal growth. A new algal growth model was therefore developed to overcome these inconsistencies. The new model predicts a hyperbolic relationship between nutrient-saturated growth rates and irradiance and a linear relationship between growth rate and both respiration rate and Chl a : C ratios. The correlation between growth rate and Chl a : C is positive under nutrient-limited conditions and negative under nutrient-saturated (light-limited) conditions. The requirement that N : C ratios be linearly related to relative growth rates leads to the conclusion that the product of the Chl a-specific absorption coefficient and the quantum yield coefficient be hyperbolically related to nutrient-limited growth rates, a result consistent with experimental observations. The equations relating respiration rate and compositional ratios to absolute and relative growth rates appear to be insensitive to photoperiod.

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Section: Discussionmentioning

confidence: 99%

A microalgal growth model

Laws

Chalup

1990

Limnology & Oceanography

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“…Values for kinetic constants for CHroxidation (KS and V,,,; defined above) were estimated from the integrated solution for the Michaelis-Menten model (Robinson, 1985):…”

Section: Statistical Analyses and Calculationsmentioning

confidence: 99%

Moisture and temperature sensitivity of CH4 oxidation in boreal soils

Whalen¹,

Reeburgh²

1996

Soil Biology and Biochemistry

182

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Summar-Weused laboratory experiments to evaluate CH4 uptake kinetics and the influence of soil moisture and temperature on rates of CHd-oxidation by boreal soils at in situ CH4 concentrations. Two upland forest sites (AS2 and BS2) were atmospheric CH., sinks; a bog site (LB) was an atmospheric CH4 source characterized by distinct depth zonation of CH4 production and consumption. Apparent half-saturation constants (K,) for CH4-oxidation showed relatively well-adapted communities. The KS for the high CH4-source soil (LB) was 1.1 PM, about IO-fold higher than values for CHd-sink soils (AS2 and BS2), 37 and 124 nM. Experiments assessing the individual effects of moisture and temperature on CHd-oxidation indicated that moisture was the primary control in CH4-sink soils at AS2 and BS2, while temperature was more important in CH4-source soil at LB. A combination of the highest moisture content and lowest temperature for each soil gave the lowest CH4-oxidation rates in experiments evaluating the interactive effects of these two variables. Conversely, a soil moisture content close to the optimum identified in moisture dependence experiments combined with the highest soil temperature consistently gave the highest CH4-oxidation rate.

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“…The more complex models were compared to simpler models using the "F" statistic (Robinson, 1985) to determine if the reduction in the residual sum of squares (RSS) justified the increased model complexity. The "F" statistic was the quotient of the difference between the RSS of the two models divided by the residual mean square (RMS) of the more complex model.…”

Section: Mathematical and Statistical Analysesmentioning

confidence: 99%

Effect of legume-based cropping systems on nitrogen mineralization potential of Vertisol

et al. 1995

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A b s t r a c tThe quantity and patterns of net mineralization of soil nitrogen (N) were studied in Vertisols under different cropping systems in the semi-arid tropical areas. Eight cropping systems were selected; three contained pigeonpea (PP), one contained PP and cowpea (COP), and two contained chickpea (CP) as legume component crops, one included sequence cropping with nonlegumes during the rainy and postrainy seasons, and one system was kept fallow (F) during the rainy season and sown to sorghum (S) during the postrainy season. Cropping systems with PP as a component crop increased mineralizable N(No) content two-fold in the soil compared with fallow + sorghum (F+S)-F+S system. The N mineralization rate constant (k) was not significantly affected by previous cropping history of the soil; however, a numerically higher rate constant was observed in the COP/PP intercrop, followed by sequential S+safflower (SF) system as compared to the other soils. Mineral N accumulation curves for six soils were more accurately described by the exponential model than the linear model. The active N fraction (No/Ntot %) varied between 8 and 16% for different systems and a direct relationship was observed between No/Ntot and total N for the soils under diverse cropping systems.

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Determining Microbial Kinetic Parameters Using Nonlinear Regression Analysis

Cited by 200 publications

References 78 publications

A microalgal growth model

A microalgal growth model

Moisture and temperature sensitivity of CH4 oxidation in boreal soils

Effect of legume-based cropping systems on nitrogen mineralization potential of Vertisol

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