https://doi.org/10.4081/jae.2025.1710
Exploring the feasibility of near-infrared spectroscopy in analyzing and predicting the chemical and biochemical changes of chitin-amended soils
Published: 3 February 2025
Abstract Views: 52
PDF: 8
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Chitin, a natural polymer, has been added to soil to enhance plant resistance to pathogens, yet its impact on soil’s chemical and biochemical properties remains unclear. Standard methods to measure these properties are often slow and labor-intensive. This study aimed to assess pH, total DNA, chitinase activity, and trpB gene DNA targeting for the identification of pathogen Streptomyces scabies in chitin-treated soil using both conventional wet chemical analysis methods and near-infrared (NIR) spectroscopy for rapid measurement. Five soil groups were treated with varying chitin levels (control, 0.2% and 2% fungus chitin, 0.2% and 2% Sigma chitin) and sampled every 9 days over 122 days. NIR reflectance spectra (900-1,685 nm) from the soil samples were acquired at each sampling time. Partial least squares regression models were developed using preprocessing methods like Kubelka-Munk, second derivative, and smoothed data. The second derivative model for 900-1,660 nm yielded high predictive accuracy with R² values of 0.915, 0.892, and 0.810 for pH, total DNA, and trpB gene DNA respectively. This study demonstrates the potential of NIR spectroscopy coupled with partial least squares algorithms as a rapid, cost-effective method for estimating soil biochemical properties.
Alcaraz de la Osa, R., Iparragirre, I., Ortiz, D., Saiz, J.M., 2020. The extended Kubelka–Munk theory and its application to spectroscopy. ChemTexts 6:1-14.
DOI: https://doi.org/10.1007/s40828-019-0097-0
Andreo-Jimenez, B., Schilder, M.T., Nijhuis, E.H., te Beest, D.E., Bloem, J., Visser, J.H.M., et al. 2021. Chitin- and keratin-rich soil amendments suppress Rhizoctonia solani disease via changes to the soil microbial community. Appl. Environ. Microbiol. 87:e00318-21.
DOI: https://doi.org/10.1128/AEM.00318-21
Baig, M.A., Qamar, S., Ali, A.A., Ahmad, J., Qureshi, M.I., 2020. Heavy metal toxicity and tolerance in crop plants. In: Naeem, M., Ansari, A., Gill, S. (eds.) Contaminants in Agriculture. Cham, Springer, pp. 201-216.
DOI: https://doi.org/10.1007/978-3-030-41552-5_9
Baillères, H., Davrieux, F., Ham-Pichavant, F., 2002. Near infrared analysis as a tool for rapid screening of some major wood characteristics in a eucalyptus breeding program. Ann. Forest Sci. 59:479-490.
DOI: https://doi.org/10.1051/forest:2002032
Bautista-Baños, S., Hernández-Lauzardo, A.N., Velázquez-Del Valle, M.G., Hernández-López, M., Ait Barka, E., Bosquez-Molina, E., Wilson, C.L., 2006. Chitosan as a potential natural compound to control pre and postharvest diseases of horticultural commodities. Crop Prot. 25:108-118.
DOI: https://doi.org/10.1016/j.cropro.2005.03.010
Blanco, M., Villarroya, I., 2002. NIR spectroscopy: A rapid-response analytical tool. TrAC-Trend. Anal. Chem. 21:240-250.
DOI: https://doi.org/10.1016/S0165-9936(02)00404-1
Brady, N.C., Weil, R.R., 2008. The nature and properties of soils, 14th ed. Upper Saddle River, Pearson Prentice Hall.
Cardenas, G., Cuellar, J.D., Casals, P., 1997. Chitin and tosil chitin applications as nematocides. Bol. Soc. Chil. Quim. 42:535-546.
Chae, D.H., De Jin, R., Hwangbo, H., Kim, Y.W., Kim, Y.C., Park, R.D., et al., 2006. Control of late blight (Phytophthora capsici) in pepper plant with a compost containing multitude of chitinase-producing bacteria. BioControl 51:339-351.
DOI: https://doi.org/10.1007/s10526-005-2934-x
Chandrashekara, K.N., Manivannan, S., Chandrashekara, C., Chakravarthi, M., 2012. Biological control of plant disease management. In: Singh, V.K., Singh, Y., Singh, A. (eds.), Eco-friendly Innovative Approaches in Plant Disease Management. International Book Publishers and Distributers, Dehradun, chapter 10.
Chang, C.-W., Laird, D.A., Mausbach, M.J., Hurburgh, C.R., 2001. Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties. Soil Sci. Soc. Am. J. 65:480-490. d
DOI: https://doi.org/10.2136/sssaj2001.652480x
Chysirichote, T., Reiji, T., Asami, K., Ohtaguchi, K., 2014. Quantification of the glucosamine content in the filamentous fungus Monascus ruber cultured on solid surfaces. J. Basic Microbiol. 54:350-357. d
DOI: https://doi.org/10.1002/jobm.201200350
El Hadrami, A., Adam, L.R., El Hadrami, I., Daayf, F., 2010. Chitosan in plant protection. Mar. Drugs 8:968-987.
DOI: https://doi.org/10.3390/md8040968
Forouzangohar, M., Kookana, R.S., Forrester, S.T., Smernik, R.J., Chittleborough, D.J., 2008. Midinfrared spectroscopy and chemometrics to predict diuron sorption coefficients in soils. Environ. Sci. Technol. 42:3283-3288.
DOI: https://doi.org/10.1021/es702750d
Ghehsareh, A.M., Samadi, N. 2012. Effect of soil acidification on growth indices and microelements uptake by greenhouse cucumber. Afr. J. Agricultural Res. 7:1659-1665.
DOI: https://doi.org/10.5897/AJAR11.1714
Herrera-Estrella, A., Chet, I., 1999. Chitinases in biological control. EXS 87:171-184.
DOI: https://doi.org/10.1007/978-3-0348-8757-1_12
Hummel, J.W., Sudduth, K.A., Hollinger, S.E., 2001. Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor. Comput. Electron. Agr. 32:149-165.
DOI: https://doi.org/10.1016/S0168-1699(01)00163-6
Jabeen, F., Qazi, J.I., 2014. Potential of bacterial chitinases and exopolysaccharides for enhancing shelf life of food commodities at varying conditions. Int. Res. J. Environ. Sci. 3:87-93.
Kokalis-Burelle, N., 2001. Chitin amendments for suppression of plant parasitic nematodes and fungal pathogens. Phytopathology 91:S168-S168.
Krishnan, P., Alexander, J.D., Butler, B.J., Hummel, J.W., 1980. Reflectance technique for predicting soil organic matter. Soil Sci. Soc. Am. J. 44:1282-1285.
DOI: https://doi.org/10.2136/sssaj1980.03615995004400060030x
Kumar, V., Singh, K., Shah, M.P., Singh, A.K., Kumar, A., Kumar, Y., 2021. Application of omics technologies for microbial community structure and function analysis in contaminated environment. In: Shah, M.P., Sarkar, A., Mandal, S. (eds.) Wastewater treatment: cutting-edge molecular tools, techniques and applied aspects. Amsterdam, Elsevier, pp. 1-40.
DOI: https://doi.org/10.1016/B978-0-12-821881-5.00001-5
Kumar, V., Thakur, I.S., Singh, A.K., Shah, M.P., 2020. Application of metagenomics in remediation of contaminated sites and environmental restoration. In: Shah, M.P., Rodriguez-Couto, S., Sevinç Şengör, S. (eds.) Emerging technologies in environmental bioremediation. Amsterdam, Elsevier, pp. 197-232.
DOI: https://doi.org/10.1016/B978-0-12-819860-5.00008-0
Liu, Y., Liao, W., Chen, S., 2008. Co-production of lactic acid and chitin using a pelletized filamentous fungus Rhizopus oryzae cultured on cull potatoes and glucose. J. Appl. Microbiol. 105:1521-1528.
DOI: https://doi.org/10.1111/j.1365-2672.2008.03913.x
Nakatsu, C.H., Torsvik, V., Øvreås, L., 2000. Soil community analysis using DGGE of 16S rDNA polymerase chain reaction products. Soil Sci. Soc. Am. J. 64:1382-1388.
DOI: https://doi.org/10.2136/sssaj2000.6441382x
Omwange, K.A., Al Riza, D.F., Sen, N., Shiigi, T., Kuramoto, M., Ogawa, Y., Kondo, N., Suzuki, T., 2020. Fish freshness monitoring using UV-fluorescence imaging on Japanese dace (Tribolodon hakonensis) fisheye. J. Food Eng. 287:110111.
DOI: https://doi.org/10.1016/j.jfoodeng.2020.110111
Pearce, R.B., Ride, J.P., 1982. Chitin and related compounds as elicitors of the lignification response in wounded wheat leaves. Physiol. Plant Pathol. 20:119-123.
DOI: https://doi.org/10.1016/0048-4059(82)90030-3
Peng, X., Shi, T., Song, A., Chen, Y., Gao, W., 2014. Estimating soil organic carbon using VIS/NIR spectroscopy with SVMR and SPA methods. Remote Sens. (Basel) 6:2699-2717.
DOI: https://doi.org/10.3390/rs6042699
Poulsen, P.H.B., Møller, J., Magid, J., 2008. Determination of a relationship between chitinase activity and microbial diversity in chitin amended compost. Bioresource Technol. 99:4355-4359.
DOI: https://doi.org/10.1016/j.biortech.2007.08.042
Reddy, M.V.B., Arul, J., Angers, P., Couture, L., 1999. Chitosan treatment of wheat seeds induces resistance to Fusarium graminearum and improves seed quality. J. Agr. Food Chem. 47:1208-1216.
DOI: https://doi.org/10.1021/jf981225k
Wang, Y., Huang, T., Liu, J., Lin, Z., Li, S., Wang, R., Ge, Y., 2015. Soil pH value, organic matter and macronutrients contents prediction using optical diffuse reflectance spectroscopy. Comput. Electron. Agr. 111:69-77.
DOI: https://doi.org/10.1016/j.compag.2014.11.019
Xu, R., Falardeau, J., Avis, T.J., Tambong, J.T., 2016. HybProbes-based real-time PCR assay for specific identification of Streptomyces scabies and Streptomyces europaeiscabiei, the potato common scab pathogens. Lett. Appl.Microbiol. 62:153-159.
DOI: https://doi.org/10.1111/lam.12522
Xuemei, L., Jianshe, L., 2014. Using short wave visible-near infrared reflectance spectroscopy to predict soil properties and content. Spectrosc. Lett. 47:729-739.
DOI: https://doi.org/10.1080/00387010.2013.840315
Yin, H., Zhao, X., Du, Y., 2010. Oligochitosan: A plant diseases vaccine-A review. Carbohyd. Polym. 82:1-8.
DOI: https://doi.org/10.1016/j.carbpol.2010.03.066
Zeng, D., Mei, X., Wu, J., 2010. Study and preparation of an environmentally friendly corn seed coating agent. J. Plant Protect. Res. 50:21-214.
DOI: https://doi.org/10.2478/v10045-010-0036-y
Zeng, D., Shi, Y., 2009. Preparation and application of a novel environmentally friendly organic seed coating for rice. J. Sci. Food Agr. 89:2181-2185.
DOI: https://doi.org/10.1002/jsfa.3700
Supporting Agencies
United States Department of Agriculture, Agricultural Research ServiceHow to Cite
Omwange, K. A. (2025) “Exploring the feasibility of near-infrared spectroscopy in analyzing and predicting the chemical and biochemical changes of chitin-amended soils”, Journal of Agricultural Engineering, 56(1). doi: 10.4081/jae.2025.1710.
Copyright (c) 2025 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Aldo Calcante, Roberto Oberti, Francesco M. Tangorra, Definition of linear regression models to calculate the technical parameters of Italian agricultural tractors , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Giulio Senes, Natalia Fumagalli, Paolo Stefano Ferrario, Roberto Rovelli, Federico Riva, Giovanna Sacchi, Paolo Gamba, Giacomo Ruffini, Giacomo Redondi, Assessment of the ecosystem services given by rural and urban green areas to preserve high-quality territories from land take: the case of the province of Monza Brianza (Italy) , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Melis Inalpulat, Monitoring and multi-scenario simulation of agricultural land changes using Landsat imageries and future land use simulation model on coastal of Alanya , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Andrea De Montis, Simone Caschili, Amedeo Ganciu, Antonio Ledda, Filippo Paoli, Federico Puddu, Mario Barra, Strategic environmental assessment implementation of transport and mobility plans. The case of Italian regions and provinces , Journal of Agricultural Engineering: Vol. 47 No. 2 (2016)
- So Ishizaki, Hironori Hirai, Takayasu Sakagaito, Tomohiro Takeyama, Naoyuki Oido, Tokuo Tamura, Mikio Mizutani, Yoshiki Watanabe, Mikio Umeda, Development of a transplanter-based transplanter for vegetable seedlings cultured in a cuttable nursery mat , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Rodolfo Piscopia, Andrea Petroselli, Salvatore Grimaldi, A software package for predicting design-flood hydrographs in small and ungauged basins , Journal of Agricultural Engineering: Vol. 46 No. 2 (2015)
- Roberto Romaniello, Alessandro Leone, Giorgio Peri, Measurement of food colour in L*a*b* units from RGB digital image using least squares support vector machine regression , Journal of Agricultural Engineering: Vol. 46 No. 4 (2015)
- Xingbo Hu, Tian Xia, Leidong Yang, Fangming Wu, Ying Fan, Yinghong Tian, 3D modeling and volume measurement of bulk grains stored in large warehouses using bi-temporal multi-site terrestrial laser scanning data , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Volodymyr Bulgakov, Valerii Adamchuk, Ladislav Nozdrovicky, Ivan Holovach, Theory of the interaction of flat sensing organ with the head of the sugar beet root , Journal of Agricultural Engineering: Vol. 48 No. 4 (2017)
- Weronika Ptak, Jarosław Czarnecki, Marek Brennensthul, Use of 3D scanning technique to determine tire deformation in static conditions , Journal of Agricultural Engineering: Vol. 53 No. 1 (2022)
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.
