RESEARCH PAPER
Long-term contrasting tillage in Cambisol: effect on water-stable aggregates, macropore network and soil chemical properties
1
Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Instituto ave. 1, Akademija, Kėdainiai distr., Lithuania
2
Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
Final revision date: 2022-11-10
Acceptance date: 2022-11-16
Publication date: 2023-01-31
Corresponding author
Mykola Kochiieru
Department of Soil and Crop Management, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Lithuania
Department of Soil and Crop Management, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Lithuania
Int. Agrophys. 2023, 37(1): 59-67
HIGHLIGHTS
- Soil chemical properties, macropores and WSA were higher in the NT than under CT
- Residues in different tillage had differently effect on macroporosity and water-stable aggregates
- SOC, Ntotal and Ptotal had a positive effect on the formation of water-stable aggregates in different tillage
KEYWORDS
TOPICS
ABSTRACT
The aggregate stability of the soil is subject to the influence of anthropogenic factors and is of great interest all over the world. The research aimed to quantify the correlations between soil organic carbon, total nitrogen, total phosphorus, and total potassium, soil macropore parameters and water-stable aggregates under no-tillage and conventional tillage in Cambisol. The content of water-stable aggregates and macroporosity tended to increase in the following order: conventional tillage (returned residues) < conventional tillage (removed residues) < no-tillage (removed residues) < no-tillage (returned residues) in both fertilizations. The relationships between total nitrogen and various soil factors were investigated: soil organic carbon (r = 0.65, p < 0.05), total phosphorus (r = 0.65, p < 0.05), were statistically significant. Soil organic carbon and total nitrogen were positively correlated with water-stable aggregates (r = 0.81, p < 0.01 and r = 0.68, p < 0.05, respectively), whereas the relationship between total potassium and water-stable aggregates was negative. The relationship between total phosphorus and water-stable aggregates (r = 0.62, p < 0.05) was positive. The soil chemical properties, macropores and water-stable aggregates that were averaged across the residues and fertilizations were higher in no-tillage than in conventional tillage. Soil organic carbon, total nitrogen and total phosphorus all had a positive direct influence on the formation of water-stable aggregates under different tillage conditions. Since our results are largely based on correlations, the mechanisms of interaction between the soil chemical properties, water-stable aggregates and the formation of pores in the soil need to be explored further in future investigations.
ACKNOWLEDGEMENTS
Many thanks to the Lithuanian and the Polish Academy of Sciences for the financial support of Mykola Kochiieru’s study visit at the Department of Metrology and Modelling of Agrophysical Processes, Institute of Agrophysics, Polish Academy of Sciences, Poland in 2019.
FUNDING
This work was partly supported by: the EJP SOIL project “Mechanisms underlying TRAde-offs between carbon sequestration, greenhouse gas emissions and nutrient losses in soils under conservation agriculture in Europe (TRACE-Soils) as part of Horizon 2020 Programme” (2022-2024); and the research programme “Productivity and sustainability of agricultural and forest soils” implemented by the Lithuanian Research Centre for Agriculture and Forestry (2022-2026).
CONFLICT OF INTEREST
The authors declare that there is no conflict of interest regarding the publication of this paper.
REFERENCES (29)
1.
An S., Mentler A., Mayer H., and Blum W.E.H., 2010. Soil aggregation, aggregate stability, organic carbon and nitrogen in different soil aggregate fractions under forest and shrub vegetation on the Loess Plateau. China. Catena, 81: 226-233. https://doi.org/10.1016/j.cate....
2.
Brevil E.C., Cerda A., Mataix-Solera J., Pereg L., Quinton J.N., Six J., and Van Oost K., 2015. The interdisciplinary nature of soil. Soil, 1(1): 117-129. https://doi.org/10.5194/soil-1....
3.
Brewer R., 1964. Fabric and mineral analysis of soils. John Wiley and Sons, New York, USA.
4.
Feizienė D., Feiza V., Karklins A., Versuliene A., Janusauskaite D., and Antanaitis S., 2018. After-effects of long-term tillage and residue management on topsoil state in Boreal conditions. Eur. J. Agron., 94, 12-24. https://doi.org/10.1016/j.eja.....
5.
Fukumasu J., Jarvis N., Koestel J., Katterer T., and Larsbo M., 2022. Relations between soil organic carbon content and the pore size distribution for an arable topsoil with large variations in soil properties. Eur. J. Soil Sci., 73(1): e13212. https://doi.org/10.1111/ejss.1....
6.
Gackiewicz B., Lamorski K., Kochiieru M., Sławiński C., Hsu S.Y., and Chang L.C., 2022. Hybrid modelling of saturated water flow in percolating and non-percolating macroporous soil media. Geoderma, 406: 115467. https://doi.org/10.1016/j.geod....
7.
Guo X., Zhao T., Liu L., Xiao C., and He Y., 2018. Effect of sewage irrigation on the ct-measured soil pore characteristics of a clay farmland in Northern China. Int. J. Env. Res. Pub. Health, 15 (5): 1043. https://doi.org/10.3390/ijerph....
8.
Haydu-Houdeshell C., Graham R.C., Hendrix P.F., and Peterson A.C., 2018. Soil aggregate stability under chaparral species in southern California. Geoderma, 310: 201-208. https://doi.org/10.1016/j.geod....
9.
Hu X., Li Z. C., Li X.Y., and Liu Y., 2015. Influence of shrub encroachment on CT-measured soil macropore characteristics in the Inner Mongolia grassland of northern China. Soil Till. Res., 150: 1-9. https://doi.org/10.1016/j.stil....
10.
Hu X., Li Z., Li X., and Liu L., 2016. Quantification of soil macropores under alpine vegetation using computed tomography in the Qinghai Lake Watershed, NE Qinghai-Tibet Plateau. Geoderma, 264: 244-251. https://doi.org/10.1016/j.geod....
11.
IUSS Working Group WRB, 2015. World Reference Base for Soil Resources 2014, update 2015. 627 International soil classification system for naming soils and creating legends for soil maps. World 628 Soil Resources Reports No. 106. FAO, Rome. https://doi.org/10.1007/spring....
12.
Jiao S., Li J., Li Y., Xu Z., Kong B., Li Ye, and Shen Y., 2020. Variation of soil organic carbon and physical properties in relation to land uses in the Yellow River Delta, China. Sci. Rep., 10: 20317. https://doi.org/10.1038/s41598....
13.
Kalhoro S.A., Xu X., Chen W., Hua R., Raza S., and Ding K., 2017. Effects of different land-use systems on soil aggregates: a case study of the Loess Plateau (Northern China). Sustainability, 9, 1349: 1-16. https://doi.org/10.3390/su9081....
14.
Kochiieru M., Feiziene D., Feiza V., Volungevicius J., Velykis A., Slepetiene A., Deveikyte I., and Seibutis V., 2020a. Freezing-thawing impact on aggregate stability as affected by land management, soil genesis and soil chemical and physical quality. Soil Till. Res., 203, 104705. https://doi.org/10.1016/j.stil....
15.
Kochiieru M., Lamorski K., Feiza V., Feizienė D., and Volungevičius J., 2020b. Quantification of the relationship between root parameters and soil macropore parameters under different land use systems in Retisol. Int. Agrophys., 34(3): 301-308. https://doi.org/10.31545/intag....
16.
Kochiieru M., Lamorski K., Feizienė D., Feiza V., Šlepetienė A., and Volungevičius J., 2022. Land use and soil types affect macropore network, organic carbon and nutrient retention, Lithuania. Geoderma Reg., 28, e00473. https://doi.org/10.1016/j.geod....
17.
Luo L., Lin H., and Li S., 2010. Quantification of 3-D soil macropore networks in different soil types and land uses using computed tomography. J. Hydrol., 393(1-2): 53-64. https://doi.org/10.1016/j.hydr....
18.
Mahmoodabadi M. and Ahmadbeigi B., 2013. Dry and water-stable aggregates in different cultivation systems of arid region soils. Arab. J. Geosci., 6: 2997-3002. https://doi.org/10.1007/s12517....
19.
Meng C., Niu J., Li X., Luo Z., Du X., Du J., Lin X., and Yu X., 2017. Quantifying soil macropore networks in different forest communities using industrial computed tomography in a mountainous area of North China. J. Soil Sediment, 17: 2357-370. https://doi.org/10.1007/s11368....
20.
Musso A., Lamorski K., Sławiński C., Geitner C., Hunt A., Greinwald K., and Egli M., 2019. Evolution of soil pores and their characteristics in a siliceous and calcareous proglacial area. Catena, 182: 104154. https://doi.org/10.1016/j.cate....
21.
Pires L.F., Auler A.C., Roque W.L., and Mooney S.J., 2020. X-ray microtomography analysis of soil pore structure dynamics under wetting and drying cycles. Geoderma, 362: 114103. https://doi.org/10.1016/j.geod....
22.
Sarker T.C., Incerti G., Spaccini R., Piccolo A., Mazzoleni S., and Bonanomi G., 2018. Linking organic matter chemistry with soil aggregate stability: Insight from 13C NMR spectroscopy. Soil Biol. Biochem., 117: 175-184. https://doi.org/10.1016/j.soil....
23.
Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., Tinevez J.Y., White D.J., Hartenstein V., Eliceiri K., Tomancak P., and Cardona A., 2012. Fiji: An open-source platform for biological-image analysis. Nature Methods, 9: 676-682. https://doi.org/10.1038/nmeth.....
24.
Simon T., Javurek M., Mikanova O., and Vach M., 2009. The influence of tillage systems on soil organic matter and soil hydrophobicity. Soil Till. Res., 105: 44-48. https://doi.org/10.1016/j.stil....
25.
Singh N., Kumar S., Udawatta R.P., Anderson S.H., Jonge L.W., and Katuwal S., 2021. X-ray micro-computed tomography characterized soil pore network as influenced by long-term application of manure and fertilizer. Geoderma, 385: 114872. https://doi.org/10.1016/j.geod....
26.
Wang M.Y., Xu S.X., Kong C., Zhao Y.C., Shi X.Z., and Guo N.J., 2019. Assessing the effects of land use change from rice to vegetable on soil structural quality using X-ray CT. Soil Till. Res., 195, 104343. https://doi.org/10.1016/j.till....
27.
Xu L., Wang M., Tian Y., Shi X., Shi Y., Yu Q., Xu S., Li X., and Xie X., 2019. Changes in soil macropores: Superposition of the roles of organic nutrient amendments and the greenhouse pattern in vegetable plantations. Soil Use Manag., 35: 412-420. https://doi.org/10.1111/sum.12....
28.
Xu L., Wang M., Tian Y., Shi X., Shi Y., Yu Q., Xu S., Pan J., Li X., and Xie X., 2020. Relationship between macropores and soil organic carbon fractions under long-term organic manure application. Land Degrad. Dev., 31(11): 1344-1354. https://doi.org/10.1002/ldr.35....
29.
Yang Y., Wu J., Zhao S., Zhao S., Han Q., Pan X., He F., and Chen C., 2018. Assessment of the responses of soil pore properties to combined soil structure amendments using X-ray computed tomography. Sci. Rep., 8: 695. https://doi.org/10.1038/s41598....
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| ISSN: | 0236-8722 |
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