دوماهنامه

تأثیر کشت یونجه و تناوب ذرت-گندم بر کیفیت خاک در اگرواکوسیستم نیمه‌خشک

نوع مقاله : مقالات پژوهشی

نویسندگان

گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده
مدیریت زراعی نقشی کلیدی در حفظ کیفیت خاک و پایداری اکوسیستم‌های کشاورزی دارد. این پژوهش با هدف مقایسه تأثیر کشت یونجه (سیستم تک کشتی) و ذرت-گندم (تناوب) بر کیفیت خاک در مزرعه تحقیقاتی دانشگاه فردوسی مشهد در سال زراعی 400-1399 انجام شد. نمونه‌های خاک از اعماق 10-0، 20-10 و 30-20 سانتی‌متر پس از برداشت محصول، جمع‌آوری و 11 ویژگی فیزیکی، شیمیایی و حاصلخیزی خاک (پ‌هاش، هدایت الکتریکی، کربنات کلسیم، نیتروژن کل، فسفر قابل استفاده، پتاسیم قابل استفاده، میانگین وزنی قطر خاکدانه‌ها به روش‌های تر و خشک، شاخص پایداری ساختمان خاک، هدایت هیدرولیکی اشباع خاک و کربن آلی) اندازه‌گیری و محاسبه شدند. مجموعه حداقل داده‌ها (MDS) با استفاده از تحلیل مؤلفه‌های اصلی (PCA) تعیین شد و شاخص کیفیت خاک (SQI) با روش‌های مجموعه کل داده‌ها (TDS) و MDS محاسبه گردید. براساس نتایج تجزیه به مؤلفه‌های اصلی برای کشت یونجه و تناوب ذرت-گندم، 4 مؤلفه با مقدار ویژه بزرگتر از یک که بیش از 80 درصد واریانس کل داده‌ها را در برداشتند، انتخاب گردید که برای یونجه، کربن آلی، نیتروژن کل، کربنات کلسیم معادل و میانگین وزنی قطر خاکدانه‌ها در حالت‌های تر و خشک و در مورد تناوب ذرت-گندم، کربن آلی، هدایت الکتریکی، کربنات کلسیم معادل و میانگین وزنی قطر خاکدانه‌ها در حالت‌های تر و خشک انتخاب شدند. نتایج نشان داد که خاک زیرکشت یونجه در مقایسه با تناوب ذرت-گندم، به‌ویژه در لایه سطحی (10-0 سانتی‌متر) کیفیت بهتری (رده کیفی Ⅱ) داشت، درحالی‌که خاک در تناوب ذرت-گندم در رده‌های ضعیف‌تر (Ⅲ و Ⅳ) قرار گرفت. پوشش دائمی خاک، نوع ریشه و تثبیت نیتروژن در یونجه به بهبود مواد آلی و پایداری ساختمان خاک کمک کرد، درصورتی‌که خاک‌ورزی مکرر در تناوب موجب کاهش کیفیت خاک شد. این یافته‌ها بر اهمیت کاشت گیاهان چندساله برای مدیریت پایدار خاک و افزایش ماده آلی در مناطق نیمه‌خشک تأکید دارد و همچنین استفاده از MDS روشی کارآمد و جایگزین برای ارزیابی کیفیت خاک است.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

The Impact of Alfalfa Cultivation and Maize–Wheat Rotation on Soil Quality in Semi-Arid Agroecosystem

نویسندگان English

O. Eghbali
H. Emami
R. Khorassani
Department of Soil Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده English

Introduction
Agronomic management is a set of field practices that not only influence plant growth and yield but also affect the soil physical, chemical, and biological properties. The selection of the crop species and cropping systems -monoculture or crop rotation, significantly affects soil attributes and plays an important role on enhancing nutrient cycling, increasing organic matter content, reducing erosion, and ultimately promoting the sustainability of agricultural ecosystems. Therefore, an appropriate cropping strategy can be regarded as a key strategy for sustainable soil management. Evaluating soil quality through physical, chemical, and fertility indicators provides a comprehensive understanding of soil status, which is essential for developing effective management strategies and long-term planning for sustainable land use. This study was performed to assess soil quality under alfalfa cultivation and compare it with a maize–wheat rotation in a single cropping season.
 
Materials and Methods
This study was conducted during the 2020–2021 cropping season at the research farm of Ferdowsi University of Mashhad, located in Khorasan Razavi Province, northeastern Iran. Two adjacent fields with different agronomic management systems were selected: (i) alfalfa (Medicago sativa L.) monoculture, which had been continuously cultivated for several years without rotation, and (ii) a maize–wheat (Zea mays L.–Triticum aestivum L.) rotation system, a typical cereal-based cropping pattern in the region. These two systems were chosen to evaluate the long-term effects of continuous legume cultivation versus crop rotation on soil quality attributes. The experimental design was a randomized complete block design (RCBD) with three replications. Soil samples were collected after harvesting the crops and were taken from three depths (0–10, 10–20, and 20–30 cm). Eleven soil properties including pH, electrical conductivity (EC), calcium carbonate equivalent (CCE), total nitrogen (TN), available phosphorus (P), available potassium (K), mean weight diameter (MWD) of soil aggregates (both wet and dry methods), soil structure stability index (SI), saturated hydraulic conductivity (Ks), and organic carbon (OC) were measured. The minimum data set (MDS) was identified using principal component analysis (PCA). Subsequently, the soil quality index (SQI) was calculated based on both the total data set (TDS) and MDS.
 
Results and Discussion
Using MDS approach, the number of soil properties was reduced, and the most important variables were selected. Among the principal components (PCs), only those with eigenvalues greater than one were retained. For both the alfalfa and the maize–wheat rotation, four components explaining more than 80% of the total variance were selected. In the alfalfa, the selected variables included organic carbon, total nitrogen, calcium carbonate equivalent, and MWD of wet and dry sieving. In the maize–wheat rotation, the selected variables included organic carbon, EC, calcium carbonate equivalent, and MWD under both wet and dry sieving conditions. The observed EC in this rotation system likely reflects the influence of evaporation and fertilization practices on soil salinity. Evaluation of SQI across different soil depths and two agronomic management systems revealed that soils under the alfalfa monoculture exhibited higher quality compared to the maize-wheat rotation, particularly in the surface layer (0–10 cm). These findings emphasize the crucial role of continuous plant cover in maintaining soil organic matter, reducing surface erosion, facilitating nitrogen fixation through rhizobial symbiosis, improving soil aggregate stability, and enhancing soil biological activity in perennial systems such as alfalfa. These processes may improve nutrient availability and foster long-term soil sustainability. Soil depth significantly influenced SQI trends. The decline in SQI with increasing depth in the maize–wheat rotation reflects reduced biological activity and limited nutrient availability in the deep layers, whereas soils in the alfalfa system had relatively higher SQI values even at the deep depths, indicating the potential of deep-rooted legumes to enhance subsoil quality through extended root penetration and associated biological processes.
 
Conclusion
This study revealed that the alfalfa monoculture considerably enhanced soil quality compared to the maize–wheat rotation, particularly at the soil surface (0–10 cm). The most important soil properties that improved soil quality were OC, TN, CCE, and MWD. The presence of continuous plant cover, biological nitrogen fixation, and reduced tillage in the alfalfa cultivation played vital roles in increasing soil OM, reducing erosion, and improving SI. The application of MDS approach proved to be a reliable, efficient, and cost-effective method for soil quality evaluation. These findings highlight the potential of perennial legume-based systems, such as alfalfa, in enhancing soil quality and sustainability in semi-arid agroecosystems. Long-term monitoring of soil quality under alfalfa monoculture is recommended for sustainable land management.
 

کلیدواژه‌ها English

Agronomic management
Rotation
Soil quality index (SQI)

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

  1. sustainable agriculture: A comprehensive review of agronomic practices and their impact on soil attributes. Journal of Environmental Management, 364, 121487, 1-28. https://doi.org/10.1016/j.jenvman. 2024.121487
  2. Andrews, S.S., Karlen, D.L., & Mitchell, J.P. (2002). A comparison of soil quality indexing methods for vegetable production systems in north California. Agriculture Ecosystems, Environment, 90(1), 25-45. https://doi.org/10.1016/s0167-8809(01)00174-8
  3. Aparicio, V., & Costa, J.L. (2007). Soil quality indicators under continuous cropping systems in the Argentinean pampas. Soil & Tollage Research, 96, 155-165. https://doi.org/10.1016/j.still.2007.05.006
  4. Bowles, T.M., Mooshammer, M., Socolar, Y., Calderon, F., Cavigelli, M.A., Culman, S.W., Deen, W., Drury, C.F., Garcia, A.G., Gaudin, A.C.M., Harkcom, W.S., Lehman, R.M., Osborne, Sh.L., Robertson, G.Ph., Salerno, J., Schmer, M.R., Srtock, J., & Grandy, A.S. (2020). Long-term evidence shows that crop-rotation diversification increases agricultural resilience to adverse growing conditions in north America. One Earth, 2(3), 284-293. https://doi.org/10.1016/j.oneear.2020.02.007
  5. Bremner, J.M., & Mulvaney, C.S. (1983). Nitrogen-total. Methods of soil analysis: part 2 chemical and microbiological properties, 9, 595-624. https://doi.org/10.2134/agronmonogr9.2.2ed.c31
  6. Carter, M.R., & Gregorich, E.G. (Eds.). (2007). Soil sampling and methods of analysis. CRC press.
  7. Chaudhry, H., Vasava, H.B., Chen, S., Saurette, D., Beri, A., Gillespie, A., & Biswas, A. (2024). Evaluation the soil quality index using three methods to assess soil fertility. Sensors, 24(3), 864. https://doi.org/10.3390/s24030864
  8. Cherubin, M.R., Karlen, D.L., Cerri, C.E.P., Franco, A.L.C., Tormena, C.A., Davies, C.A., & Cerri, C.C. (2016). Soil quality indexing strategies for evaluating sugarcane expansion in Brazil. Plos ONE, 11(3), e0150860. https://doi.org/10.1371/journal.pone.0150860
  9. Dambia, W.A.F., Gathenya, J.M., Raude, J.M., & Home, P.G. (2024). Soil quality index (SQI) for evaluating the sustainability status of Kakia-Esamburmbur catchment under three different land use types in Narok county, Kenya. Heliyon, 10(5), e25611. https://doi.org/10.1016/j.heliyon.2024.e25611
  10. De, P., Deb, S., Deb, D., Chakraborty, S., Santra, P., Dutta, P., Hoque, A., & Choudhury, A. (2022). Soil quality under different land uses in eastern India: evaluation by using soil indicators and quality index. Plos One, 17(9), 1-17. https://doi.org/10.1371/journal.pone.0275062
  11. Doran, J.W., & Parkin, T.B. (1994). Defining, assessing soil quality. In: Doran, J.W., Coleman, D.C., Bezdicek, D.F., Stewart, B.A. (Eds), Defining soil quality for a sustainable environment. Soil Science Society of America, Inc., Madison, WI, USA, pp. 3-21. Special Publication. Number 35. https://doi.org/ 10.2136/sssaspecpub35
  12. Emami, H., Astaraei, A.R., & Fotovat, A. (2014). Evaluating the effect of organic matter on soil quality score functions. Journal of Water and Soil, 28(3), 565-574. (In Persian with English abstract). https://doi.org/ 10.22067/jsw.v0i0.22840
  13. Fox, G.A., & Metla, R. (2005). Soil property analysis using principal components analysis, soil line, regression models. Soil Science Society of America Journal, 69(6), 1782-1788. https://doi.org/10.2136/ sssaj2004.0362
  14. Gee, G.W., & Bauder, J.W. (1986). Methods of Soil Analysis, part 1, physical and mineralogical methods. Soil Science Society of America, American Society of Agronomy. https://doi.org/10.2136/ sssabookser5.1.2ed.c15
  15. Ghaemi, M., Astaraei, A.R., Sanaeinejad, S.H., Nassiri Mahalati, M., & Emami, H. (2013). Chemical quality assessment of wheat-maize cultivated soil by using soil quality models in an agricultural region of southeast Mashhad. Journal of Soil Research, 27(4), 463-473. (In Persian with English abstract). https://doi.org/ 10.4067/s0718-95162014005000077
  16. Govaerts, B., Sayre, K.D., & Deckers, J. (2006). A minimum data set for soil quality assessment of wheat and maize cropping in the highlands of Mexico. Soil & Tillage Research, 87, 163-174. https://doi.org/10.1016/j.still. 2005.03.005
  17. Jin, X., Yang, X., Peng, S., Ma, E., Zhang, H., Lin, X., Wang, Y., & Li, J. (2024). Cropping rotation improved the bacterial diversity and N-cycling genes in tobacco fields through a 19-year long-term experiment. Applied Soil Ecology, 193, 105165. https://doi.org/10.1016/j.apsoil.2023.105165
  18. Kafe, F., Dalalian, M.R., Rezapour, S., Sabbaghtazeh, E., & Rafieyan, O. (2022). Determination of minimum data set to evaluate soil quality in piranshahr region wheat fields. Applied Soil Research, 11(4), 30-42. (In Persian with English abstract). https://doi.org/10.30466/ASR.2024.121443
  19. Karlen, D.L., Andrews, S.S., Doran, J.W., & Wienhold, B.J. (2003). Soil quality: human kind’s foundation for survival. Journal of Soil and Water Conservation, 58(4), 171-179. https://doi.org/10.1080/00224561.2003. 12457524
  20. Klute, A., & Dirksen, C. (1986). Hydraulic conductivity and diffusivity: laboratory methods. Methods of soil analysis: Part 1 physical and mineralogical methods, 5, 687-734. https://doi.org/10.2136/sssabookser5. 1.2ed.c28
  21. Malo, D.D., Schummacher, T.E., & Doolittle, J.J. (2005). Long-term cultivation impacts on selected soil properties in the northern Great Plain. Soil & Tillage Research, 81, 277-291. https://doi.org/10.1016/j. still.2004.09.015
  22. Olsen, S.R., & Sommers, L.E. (1986). Phosphorous. Methods of Soil Analysis. Part 2, Soil Science Society of American Journal. Madison, WI. Pp. 403-427. In: Page AL, Miller RH and Keeney DR (Eds).
  23. Otto, S., Masin, R., Nikolic, N., Berti, A., & Zanin, G. (2023). Effect of 20-years crop rotation and different strategies of fertilization on weed seedbank. Agriculture, Ecosystems & Environment, 354, 108580. https://doi.org/ 10.1016/j.agee.2023.108580
  24. Pieri, C.J.M.G. (1992). Fertility of soils: a future for farming in the west African Savannah. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-84320-4
  25. Qi, J., Fu, D., Wang, X., Zhang, F., & Ma, Ch. (2023). The effect of alfalfa cultivation on improving physicochemical properties soil microorganisms’ community structure of grey desert soil. Nature Portfolio, 13, 1-13. https://doi.org/10.1038/s41598-023-41005-8
  26. Qi, Y., Darilek, J.L., Huang, B., Zhao, Y., Sun, W., & Gu, Z. (2009). Evaluation soil quality indices in an agricultural region of Jiangsu province, China. Geoderma, 149, 325-334. https://doi.org/10.1016/j.geoderma. 2008.12.015
  27. Ramezani, F., Jafari, S., Salavati, A., & Khalili Moghaddam, B. (2016). Study the soil quality changes indicators using nemro and integrated quality index models in some Khuzestan’s soils. Journal of Water and Soil, 29(6), 1629-1639. (In Persian with English abstract). https://doi.org/10.22067/jsw.v29i6.35514
  28. Ranjbar, A., Emami, H., Karimi, A.R., & Khorassani, (2015). Determining the most important soil properties affecting the yield of saffron in the Ghayenat area. Journal of Water and Soil, 29(3), 673-682. (In Persian with English abstract). https://doi.org/10.22067/jsw.v0i0.31230
  29. Ranjbar, A., Emami, H., Khorasani, R., & Karimi Karouyeh, A.R. (2016). Soil quality assessments in some Iranian saffron field. Journal of Agricultural Science, Technology, 18(3), 865-878. (In Persian with English abstract). https://doi.org/20.1001.1.16807073.2016.18.3.4.6
  30. Reynolds, W.D., Drury, C.F., Tan, C.S., Fox, C.A., & Yang, X.M. (2009). Use of indicators and pore volume-function characteristics to quantify soil physical quality. Geoderma152(3-4), 252-263. https://doi.org/10.1016/ j.geoderma.2009.06.009
  31. Rhoades, J.D. (1996). Salinity: electrical conductivity and total dissolved soilds. Method of soil analysis, parss: chemical methods. Madison. Wisconsin, USA. 417-436. https://doi.org/10.2136/sssabookser5.3.c14
  32. Sadeghian, A., Sayyad, Gh.A., Farokhian Firouzi, A., & Norouzi Masir, M. (2018). Effect of agronomic management on some chemical and biological indicators of soil health. Journal of Water and Soil Conservation, 25(3), 269-280. (In Persian with English abstract). https://doi.org/10.22069/jwsc.2018. 14281.2905
  33. Samaei, F., Emami, H., & Lakzian, A. (2022). Assessing soil quality of pasture, agriculture land uses in shandiz county, northwestern Iran. Ecological Indicators, 139, 1-10. https://doi.org/10.1016/j.ecolind.2022. 108974
  34. Sepaskhah, A.R. (2016). A menu of solutions to the food security challenge in Iran. Strategic Research Journal of Agricultural Sciences and Natural Resources, 1(1), 23-34. (In Persian with English abstract). https://doi.org/ 10.22047/srjasnr.2016.110527
  35. Servati, M. (2019). Selection of the most suitable crop rotation in aras river margin, based on assessing soil qualitative indicaors. Water and Soil Science, 28(4), 155-165. (In Persian with English abstract)
  36. Shah, K.K., Mondi, B., Pandey, H.P., Sabedi, A., Aryal, G., Pandey, M., & Shrestha, J. (2021). Diversified crop rotation: An approach for sustainable agriculture production. Advances in Agriculture, 2021, 8924087: 1-9. https://doi.org/10.1155/2021/8924087
  37. Shalikar, O.H., Ayoubi, Sh., Khormali, F., & Ghorbani Nasrabadi, R. (2009). Assessmen of soil quality indicators in different rice rotation sstems in dasht-sar district, Amol, Mazandaran province. Journal of Agriculture Science Natural Resource, 15(6), 64-74.
  38. Shukla, M.K., Lal, R., & Ebinger, M. (2006). Determing soil quality indicators by factor analysis. Soil & Tillage Research, 87(2), 194-204. https://doi.org/10.1016/j.still.2005.03.011
  39. Sims, J.T. (1996). Lime requirement. Methods of Soil Analysis: part 3: Chemical methods, 5, 491-515. https://doi.org/10.2136/sssabookser5.3.c17
  40. Van Bavel, C.H.M. (1949). Mean weight-diameter of soil aggregates as a statistical index of aggregation. Proceedings. Soil Science Society of America Journal, 14, 20-23. https://doi.org/10.2136/sssaj1950. 036159950014000c0005x
  41. Walkley, A., & Black, I.A. (1934). An examination of the degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science, 37, 29-38. https://doi.org/10.1097/00010694-193401000-00003
  42. Yang, H., An, F., Yang, F., & Wang, Zh. (2019). The impact of irrigation on yield of alfalfa and soil chemical properties of saline-sodic soils. PeerJournal, 7, e7148. https://doi.org/10.7717/peerj.7148
  43. Zani, C.F., Barneze, A.S., Soratto, R.P., & Francis, R.P. (2023). The effect of crop rotations on soil. In: Goss, M.J., Oliver, M. (Eds.), Encyclopedia of soils in the environment, second ed. Academic Press, Oxford, 3, 125-134. https://doi.org/10.1016/B978-0-12-822974-3.00145-2

 

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دوره 39، شماره 4 - شماره پیاپی 102
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