Dairy manure temperature dynamics during storage

Genedy, Rana A.; Ogejo, Jactone Arogo

doi:10.13031/aim.202001037

Cited by 2 publications

(2 citation statements)

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“…(b) Methanogen species distribution from a methanogenic database (Jabłoński et al, 2015). (c) Methanogen intrinsic growth rates from a methanogenic database normalized to the maximum observed (Jabłoński et al, 2015) the year (Genedy & Ogejo, 2020;Rennie et al, 2020). This simplified categorization may be an obstacle for understanding methanogenic diversity and the dynamics of CH 4 emissions.…”

Section: Temperature Effects On Methane Productionmentioning

confidence: 99%

“…Anaerobic digestion research and practice have tended to focus on microbial groups with distinct temperature optima (Giraldo‐Gomez, 1991; Jabłoński et al., 2015; van Lier et al., 1997). These groups are called psychrophilic (5–20 °C), mesophilic (25–40 °C), and thermophilic (above 45 °C) (van Lier et al., 1997), and in some regions storage temperatures may enter both psychrophilic and mesophilic ranges during the year (Genedy & Ogejo, 2020; Rennie et al., 2020). This simplified categorization may be an obstacle for understanding methanogenic diversity and the dynamics of CH 4 emissions.…”

Section: Control Of Rate and Extent Of Methanogenesismentioning

confidence: 99%

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Understanding methane emission from stored animal manure: A review to guide model development

et al. 2021

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National inventories of methane (CH 4 ) emission from manure management are based on guidelines from the Intergovernmental Panel on Climate Change using countryspecific emission factors. These calculations must be simple and, consequently, the effects of management practices and environmental conditions are only crudely represented in the calculations. The intention of this review is to develop a detailed understanding necessary for developing accurate models for calculating CH 4 emission from liquid manure, with particular focus on the microbiological conversion of organic matter to CH 4 . Themes discussed are (a) the liquid manure environment; (b) methane production processes from a modeling perspective; (c) development and adaptation of methanogenic communities; (d) mass and electron conservation; (e) steps limiting CH 4 production; (f) inhibition of methanogens; (g) temperature effects on CH 4 production; and (h) limits of existing estimation approaches. We conclude that a model must include calculation of microbial response to variations in manure temperature, substrate availability and age, and management system, because these variables substantially affect CH 4 production. Methane production can be reduced by manipulating key variables through management procedures, and the effects may be taken into account by including a microbial component in the model. When developing new calculation procedures, it is important to include reasonably accurate algorithms of microbial adaptation. This review presents concepts for these calculations and ideas for how these may be carried out. A need for better quantification of hydrolysis kinetics is identified, and the importance of short-and long-term microbial adaptation is highlighted.

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