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Proximal sensing of soil biological activity for precision agriculture

Published online by Cambridge University Press:  01 June 2017

V. Adamchuk*
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
F. Reumont
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
J. Kaur
Affiliation:
Centre for Oil Sands Sustainability, Edmonton, AB, T5G 3K4, Canada
J. Whalen
Affiliation:
McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
N. Adamchuk-Chala
Affiliation:
Institute of Microbiology and Virology of Zabolotnyi, Kyiv, 03143, Ukraine
*
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Abstract

There is growing interest in monitoring soil biological health to complement the traditional evaluation of soil physical and chemical characteristics in agricultural fields. Activity of soil microorganisms mediates many essential soil processes that affect fertility, and, therefore, essential to the successful adoption of precision agriculture. However, there are technical limitations to cost-effective monitoring of spatial and temporal dynamics of soil biological activity across agricultural landscapes. This paper summarizes three consecutive studies on in situ measurement of soil biological activity. The first study reveals spatial heterogeneity of microbial population growth in three agricultural fields using bio-films. In the second study, microbiological activity was analyzed using a substrate-induced respiration technique. This technique was evaluated through a series of soil toxicity experiments that involved a comparison of fresh and autoclaved soil samples. Finally, the aim of the third study was to develop a portable instrumented system to evaluate carbon dioxide concentrations in soil by extracting air stored within the soil pores. This instrument was tested under various conditions to quantify the effects of soil moisture, compaction and presence of glucose (artificially increased microbial respiration). Optimization of the discussed techniques will allow for detailed mapping of these indices of soil biological health and their interactions with the physical and chemical environment at any specific point in time.

Type
Soil Sensing and Variability
Copyright
© The Animal Consortium 2017 

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References

Ettema, CH and Wardle, DA 2002. Spatial soil ecology. Trends in Ecology & Evolution 17, 177183.Google Scholar
Corwin, DL 2013. Site-specific management and delineating management zones. In: Precision Agriculture for Food Security and Environmental Protection, edited by M Oliver), Earthscan, London, UK. pp. 135157.Google Scholar
Doran, JW and Zeiss, MR 2000. Soil health and sustainability: managing the biotic component of soil quality. Applied Soil Ecology, Special issue: Managing the Biotic component of Soil Quality 15, 311.Google Scholar
Pankhurst, C, Doube, B and Gupta, VVSR 1997. Biological indicators of soil health. CAB International, Wallingford, New York, USA.Google Scholar
Kaur, J, Adamchuk, VI, Whalen, JK and Ismail, AA 2015. Development of an NDIR CO2 sensor-based system for assessing soil toxicity using substrate-induced respiration. Sensors 15, 47344748.Google Scholar
Kopylov, EP 2010. Species diversity of micromycetes in the root zone of spring wheat grown in meadow chernozem alkiline soil. (In Ukrainian: Vydove riznomanittja micromicetive luchno-chernozemnogo vylugovanogo gruntu korenevoji zony pshenyci jaroji. Agroecology Journal 3, 5559.Google Scholar
Kordyum, VA, Shpylova, SP, Moshynets, EV, Adamchuk-Chala, NI, Irodov, DM and Andriyenko, VI 2009. Biopolymers and cells in dimension of microbial community architecture. 1. Fenomenology. Biopolymers and Cell 25, 150165.Google Scholar
Reumont, F and Adamchuk, V 2016. Design of an alternative system for CO2 emission meausurement in agricultural fields. ASABE Paper No. 162436303. ASABE, St. Joseph, Michigan, USA.Google Scholar
Tichonovich, IA and Provorov, NA 2011. Microbiology is the basis of sustainable agriculture: an opinion. Annals of Applied Biology 159, 155168.Google Scholar
Woebbecke, DM, Meyer, GE, Von Bargen, K and Mortensen, DA 1992. Color indices for weed identification under various soil, residue, and lighting conditions. Transactions of the ASAE 38, 259269.CrossRefGoogle Scholar