Determination of glomalin in agriculture and forest soils by near-infrared spectroscopy
Determining and characterizing soil organic matter (SOM) cheaply and reliably can help to support decisions concerning sustainable land management and climate policy. Glomalin was recommended as one of possible indicators of SOM quality. Extracting glomalin from and determining it in soils using classical chemical methods is too complicated and therefore near-infrared spectroscopy (NIRS) was studied as a method of choice for the determination of glomalin. Representative sets of 84 different soil samples from arable land and grasslands and 75 forest soils were used to develop NIRS calibration models. The parameters of the NIRS calibration model (R = 0.90 for soils from arable land and grasslands and R = 0.94 for forest soils) proved that glomalin can be determined in air-dried soils by NIRS with adequate trueness and precision simultaneously with determination of nitrogen and oxidizable carbon.
Askari Mohammad Sadegh, O'Rourke Sharon M., Holden Nicholas M. (2015): Evaluation of soil quality for agricultural production using visible–near-infrared spectroscopy. Geoderma, 243-244, 80-91 https://doi.org/10.1016/j.geoderma.2014.12.012
Bedini Stefano, Avio Luciano, Argese Emanuele, Giovannetti Manuela (2007): Effects of long-term land use on arbuscular mycorrhizal fungi and glomalin-related soil protein. Agriculture, Ecosystems & Environment, 120, 463-466 https://doi.org/10.1016/j.agee.2006.09.010
Bradford Marion M. (1976): A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry, 72, 248-254 https://doi.org/10.1016/0003-2697(76)90527-3
Fokom R (2013): GLOMALIN, CARBON, NITROGEN AND SOIL AGGREGATE STABILITY AS AFFECTED BY LAND USE CHANGES IN THE HUMID FOREST ZONE IN SOUTH CAMEROON. Applied Ecology and Environmental Research, 11, 581-592 https://doi.org/10.15666/aeer/1104_581592
Heinze Stefanie, Vohland Michael, Joergensen Rainer Georg, Ludwig Bernard (2013): Usefulness of near-infrared spectroscopy for the prediction of chemical and biological soil properties in different long-term experiments. Journal of Plant Nutrition and Soil Science, 176, 520-528 https://doi.org/10.1002/jpln.201200483
IUSS Working Group WRB World Reference Base for Soil Resources (2006): World Soil Resources Reports No. 103. Rome, FAO.
Jia Shengyao, Yang Xianglong, Zhang Jianming, Li Guang (2014): Quantitative Analysis of Soil Nitrogen, Organic Carbon, Available Phosphorous, and Available Potassium Using Near-Infrared Spectroscopy Combined With Variable Selection. Soil Science, 179, 211-219 https://doi.org/10.1097/SS.0000000000000060
Koide Roger T., Peoples Matthew S. (2013): Behavior of Bradford-reactive substances is consistent with predictions for glomalin. Applied Soil Ecology, 63, 8-14 https://doi.org/10.1016/j.apsoil.2012.09.015
Nas T., Isaksson T., Fearn T., Davies T.A. (2002): A User-Friendly Guide to Multivariate Calibration and Classification. Chichester, NIR Publications.
Nichols K.A. (2003): Characterization of glomalin: A glycoprotein produced by arbuscular mycorrhizal fungi. [Ph.D. thesis] College Park, University of Maryland.
Rillig Matthias C. (2004): Arbuscular mycorrhizae, glomalin, and soil aggregation. Canadian Journal of Soil Science, 84, 355-363 https://doi.org/10.4141/S04-003
Rosier Carl L., Hoye Andrew T., Rillig Matthias C. (2006): Glomalin-related soil protein: Assessment of current detection and quantification tools. Soil Biology and Biochemistry, 38, 2205-2211 https://doi.org/10.1016/j.soilbio.2006.01.021
Savitzky Abraham., Golay M. J. E. (1964): Smoothing and Differentiation of Data by Simplified Least Squares Procedures.. Analytical Chemistry, 36, 1627-1639 https://doi.org/10.1021/ac60214a047
Schindler Frank V., Mercer Erin J., Rice James A. (2007): Chemical characteristics of glomalin-related soil protein (GRSP) extracted from soils of varying organic matter content. Soil Biology and Biochemistry, 39, 320-329 https://doi.org/10.1016/j.soilbio.2006.08.017
Shepherd K. D., Vanlauwe B., Gachengo C. N., Palm C. A. (2005): Decomposition and Mineralization of Organic Residues Predicted Using Near Infrared Spectroscopy. Plant and Soil, 277, 315-333 https://doi.org/10.1007/s11104-005-7929-y
Stone M. (1974): Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society. Series B, 36: 111–147.
Treseder Kathleen K., Turner Katie M. (2007): Glomalin in Ecosystems. Soil Science Society of America Journal, 71, 1257- https://doi.org/10.2136/sssaj2006.0377
Vasconcellos Rafael L. F., Bonfim Joice Andrade, Baretta Dilmar, Cardoso Elke J. B. N. (2016): Arbuscular Mycorrhizal Fungi and Glomalin-Related Soil Protein as Potential Indicators of Soil Quality in a Recuperation Gradient of the Atlantic Forest in Brazil. Land Degradation & Development, 27, 325-334 https://doi.org/10.1002/ldr.2228
Wang S., Wu Q.-S., He X.-H. (): Exogenous easily extractable glomalin-related soil protein promotes soil aggregation, relevant soil enzyme activities and plant growth in trifoliate orange. Plant, Soil and Environment, 61, 66-71 https://doi.org/10.17221/833/2014-PSE
Wright Sara F., Upadhyaya Abha (1996): EXTRACTION OF AN ABUNDANT AND UNUSUAL PROTEIN FROM SOIL AND COMPARISON WITH HYPHAL PROTEIN OF ARBUSCULAR MYCORRHIZAL FUNGI. Soil Science, 161, 575-586 https://doi.org/10.1097/00010694-199609000-00003
Wright S.F., Upadhyaya A. (1998): A survey of soils for aggregate stability and glomalin, a glycoprotein produced by hyphae of arbuscular mycorrhizal fungi. Plant and Soil, 198: 97–107. https://doi.org/10.1023/A:1004347701584