ارزیابی کیفیت خاک در خاک‌های شالیزاری با عملکردهای متفاوت (مطالعه موردی: کوچصفهان استان گیلان)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه خاکشناسی، دانشکده کشاورزی، دانشگاه گیلان

2 دانشیار گروه خاکشناسى، دانشکده کشاورزى، دانشگاه گیلان، رشت

3 موسسه تحقیقات برنج کشور-دکترای خاکشناسی

4 گروه مهندسی آب، دانشکده کشاورزی، دانشگاه گیلان

چکیده

رشد سریع جمعیت و به­دنبال آن افزایش نیاز غذایی، شناخت روابط عملکرد و شرایط خاک را ضروری می­سازد. یکی از شاخص­هایی که شرایط خاک و ویژگی­های مربوط به آن را به خوبی نشان می­دهد شاخص کیفیت خاک است. این پژوهش به­منظور تعیین اثر کیفیت خاک بر عملکرد برنج در شمال ایران (استان گیلان) انجام گردید. 64 نمونه خاک از مزراع برنج، برای اندازه­گیری ویژگی­های فیزیکی و شیمیایی موثر برکیفیت خاک تهیه و همچنین عملکرد برنج نیز در مزارع مذکور با استفاده از پلات­گذاری تعیین شد. سپس عملکرد کل منطقه به سه کلاس با عملکردهای کمتر از  4000 کیلوگرم بر هکتار (کلاس یک)، 4000 تا 4500 کیلوگرم بر هکتار (کلاس دوم) و بالاتر از 4500 کیلوگرم بر هکتار (کلاس سوم) تقسیم شد. برای تعیین شاخص کیفیت خاک از میان ویژگی­های مطالعه شده 16 ویژگی به­عنوان شاخص­های انتخابی روش کل داده­ها (TDS) و پنج ویژگی با استفاده از  تجزیه به مولفه­های اصلی به عنوان شاخص­های انتخابی روش مجموعه حداقل داده­ها (MDS) انتخاب شد. از منطق فازی برای نمره­دهی و مفهوم شاخص اشتراک برای وزن­دهی شاخص­ها استفاده و در نهایت تلفیق آنها با استفاده از روش افزایشی وزن­دار انجام شد.  بررسی نتایج شاخص کیفیت، همبستگی مثبت و بالا در دو روش TDS و MDS را نشان داد (R2=0.87). نتایج ضریب همبستگی بین عملکرد و SQI به روش TDS  (R2=0.52)  بالاتر از SQI به روش MDS (R2=0.28)  بود. در روش MDS نیز مانند روش TDSشاهد روند افزایشی در مقدار SQI کلاس­های بالاتر عملکرد بوده، اما اختلاف معنی­دار در بین کلاس دوم و سوم دیده نشد. تفاوت در بین کیفیت خاک با عملکردهای پایین­تر با روش MDS معنی­دار است اما این تفاوت در سطوح بالاتر عملکرد کمتر قابل تمیز می­باشد، زیرا با کاهش تعداد شاخص­ها دقت و حساسیت ارزیابی کیفیت خاک کاهش می­یابد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Assessment of Soil Quality in Paddy Soils with Different Yields (A Case Study: Kouchsfahan, Guilan Province)

نویسندگان [English]

  • maryam Shakouri 1
  • Mahmoud Shabanpour 2
  • Naser Davatgar 3
  • Majid Vazifehdoust 4
1 PhD student, Department of Soil Science, Faculty of Agricultural Science, University of Guilan
2 Department of Soil Science, Faculty of Agricultural Science, University of Guilan
3 Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO),
4 Assistant professor, Department of Water Engineering, Faculty of Agricultural Science, University of Guilan,
چکیده [English]

Rapid growth of population, followed by increasing food demand, necessitates knowledge of the relationship between yield and soil conditions. The soil quality index (SQI) is one of the indicators showing the soil conditions and the related properties very well.This study was performed to determine the effect of soil quality on rice yield in north of Iran (Gilan province). 64 soil samples from rice fields were prepared to measure the physical and chemical properties affecting soil quality and also the yield of rice in the mentioned fields were determined using plot. Then the total yields were divided into three classes with yields of less than 4000 kg/ha (first class), 4000-4500 kg/ha (second class) and more than 4500 kg/ha (third class). Among the studied properties, 16 properties as selected indicators of total data method (TDS) and five properties using principal component analysis as selected indicators of minimum data set method (MDS) were selected to determine the soil quality index. Fuzzy logic was used for scoring and the concept of communality index was used to weight the indicators and finally they were combined using weighted additive method. The results of quality index showed a positive and high correlation between TDS and MDS methods (R2 = 0.87). The results of correlation coefficient between yield and SQI by TDS method (R2 = 0.52) were higher than the SQI by MDS method (R2 = 0.28).  In the MDS method, simmilar to TDS method, there was an increasing trend in the SQI value of higher yield classes, but there is no significant difference between the second and third classes. The difference between soil quality and lower yields with MDS method is significant, but this difference is not significant at higher yield levels, because as the number of indicators decreases, the accuracy and sensitivity of soil quality assessment decreases.

کلیدواژه‌ها [English]

  • Principal Component Analysis
  • Rice fields
  • Soil quality Index
Andrews, S.S., and Carroll, C.R. (2001). Designing a Soil Quality Assessment Tool for Sustainable Agroecosystem Management. Ecological Applications, 11: 1573–1585.
Andrews, S.S., Karlen, D.L., and Cambardella, C.A. (2004). The soil management assessment framework: A quantitative soil quality evaluation method. Soil Science Society of America Journal. 68:1945–1962.
Andrews, S.S., Karlen, D.L., and Mitchell, J.P. (2002). A comparison of soil quality indexing methods for vegetable production systems. Agriculture, Ecosystems and Environment, 40: 25–45.
Armenise, E., Redmile-Gordon, M. A., Stellacci, A. M., Ciccarese, A., and Rubino, P. (2013). Developing a soil quality index to compare soil fitness for agricultural use under different managements in the Mediterranean environment. Soil and Tillage Research, 130:91-98.
Askari, M.S., and  Holden, N.M. (2014). Indices for quantitative evaluation of soil quality under grassland management. Geoderma, 230: 131–142.
Bartlett, M. S. (1954). A note on the multiplying factors for various chi square approximations. Journal of the Royal Statistical Society, 16: 296–298.
Bergamin, A.C., Vitorino, A.C.T., Souza, F.R., Venturoso, L. R.V., Bergamin, L.P.P., and Campos, M.C.C. (2015). Relationship of soil physical quality parameters and maize yield in a Brazilian Oxisol. Chilean journal of agricultural research, 75(3): 357-365.
Biswas, S., Hazra, G.C., Purakayastha, T.J., Saha, N., Mitran, T., Roy, S.S., Basak, N., and Mandal B. (2017). Establishment of critical limits of indicators and indices of soil quality in rice-rice cropping systems under different soil orders. Geoderma, 292: 34-48.
Blake, G.R., and Hartge, K.H. (1986). Bulk density. In: Klute, A., Ed., Methods of Soil Analysis, Part 1—Physical and Mineralogical Methods, 2nd Edition, Agronomy Monograph 9, American Society of Agronomy—Soil Science Society of America, Madison, 363-382.
Booltink, H.W.G., Buma, J. (2002). Steady flow soil column method. In: Dane, J.H., Clake G.C. (Eds.), Methods of soil analysis. Part 4. Physical Methods. SSSA, Madison, WI, USA, pp. 812–814.
Bouman, B.A.M., Xiaoguang, Y., Huaqi, W., Zhimin, W., Junfang, Z., and Bin, C. (2006). Performance of aerobic rice varieties under irrigated conditions in North China. Field Crop Research. 97:53-65.
Brady, N.C., and Weil, R.R. (2008). Nature and properties of soils. 14th ed. prentice hall, Upper saddle Riever, NJ. USA, 992p.
Brejda, J.J., Moorman, T.B., Karlen, D.L.,and  Dao, T.H. (2000). Identification of regional soil quality factors and indicators. Central and Southern High Plains. Soil Science Society of America Journal, 64:2115–2124.
Bremner, J. M., and Mulvaney, C. S. (1982). Totalnitrogen. In: A. L. Page (Ed.) Methods of SoilAnalysis. P Part 2: Chemical and microbiologicalproperties (2th Ed.). Agron. (No.2). pp.95-624. Madison, Wisconsin, USA: Soil Science Society of America.
Cechin, I. (1997). Comparison of growth and gas exchange in two hybrids of sorghum in relation to nitrogen supply. Revista Brasileira de Fisiologia Vegetal, 9: 151-156.
Chen, Y.D., Wang, H.Y., Zhou, J.M., Xing, L., Zhu, B.S., Zhao, Y.C., and Chen, X.Q. (2013). Minimum data set for assessing soil quality in farmland of northeast China. Pedosphere, 23: 564–576.
Cheng, J.  Ding, C., Li, X., Zhang, T., and Wang, X. (2016). Soil quality evaluation for navel orange production systems in central subtropical China. Soil & Tillage Research, 155: 225–232.
Dane, J. M., and Hopmans, J. W. (2002). Pressure plate extractor. In Dane, J. M and Topp, G. C. (Eds.). Methods of soil analysis. Part 4. Physical Method (pp. 688- 690). Madison, Wisconsin, USA: Soil Science Society of America.
Deng, Y., Cai, C., Xia, D., Ding, S., Chen, J., Wang, T. (2017). Soil Atterberg limits of different weathering profiles of the collapsing gullies in the hilly granitic region of southern China. Solid Earth, 8:499–513.
Dexter, A.R. (2004). Soil physical quality Part I. Theory, effects of soil texture, density, and organic matter, and effects on root growth. Geoderma, 120:201-214.
Doberman, A., and Fairhurst, T. H. (2000). Rice: Nutrient disorders & nutrient management. International Rice Research Institute, Philippines.
Doran, J.W., and Parkin, B.T. (1994). Defining and 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, Special Publication, 35: 3-21.
Drury, C.F., Zhang, T.Q., Kay, B.D. (2003). The non-limiting and least limiting water range for soil nitrogen mineralization. Soil Science Society of America Journal, v.67, p.1388-1404.
Fan, T., Xu, M., Song, S., Zhou, G., and Ding, L. (2008). Trends in grain yields and soil organic C in a long‐term fertilization experiment in the China Loess Plateau. Journal of Plant Nutrition and Soil Science, 171(3): 448-457.
Gardner, W.H. (1986).Water content. In Klute, A. (Eds.), Methods of soil analysis. Part 1. 2nd Ed. Agron. Monogr. No. 9, (pp. 493-541). Madison, Wisconsin, USA: American Society of Agronomy and Soil Science Society of America.
Gebhardt, S., Fleige, H., Horn, R. (2012). Anisotropic shrinkage of mineral and organic soils and its impact on soil hydraulic properties. Soil and tillage research, 125:96–104.
Gee, G. W., and OR, D. (2002). Particle- Size analysis. In Dane, J. H and Clake, G. C. (Eds.). Methods of soil analysis. Part 4. Physical Methods, No. 5, (pp. 255- 294). Madison, Wisconsin, USA: Soil Science Society of America.
Govaerts, B., Sayreb, K.D., Deckersa, J. (2006). A minimum data set for soil quality assessment of wheat and corn cropping in the highlands of Mexico. Soil and tillage Research. 87, 163–174.
Hair, J. F., Black, B., Babin, B., Anderson, R. E., and Tatham, R. L. (2006). Multivariate data analysis (6th ed.). New Jersy: Prentice Hall.
Kaiser, H. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.
Klingebiel, A.A., Montgomery, P.H. (1961). Land capability classification. In USDA Handbook; United States Department of Agriculture: Washington, DC, USA, Volume 210.
Kolawole, G.O., and Tian, G. (2007). Phosphorus fractionation and crop performance on an Alfisol amended with phosphorus rock combined with and without plant residues. African Journal of Biotechology, 6(16):1972-1978.
Lan, M.Z., Lin, X.J., Wang, F., Zhang, H., and Chen, C.R. (2012). Phosphorus availability and rice grain yield in a paddy soil in response to long-term fertilization. Biology and Fertility of Soils, 48(5): 579-588.
Li, G. L., Chen, J., Sun, Z. Y., and Tan, M.Z. (2007). Establishing a minimum dataset for soil quality assessment based on soil properties and land-use changes. Acta Ecologica Sinica, 27:2715-2724.
Li, P., Zhang, T., Wang, X., and D. Yi. (2013). Development of biological soil quality indicator system for subtropical China. Soil & Tillage Research, 126: 112-118.
Liebig, M.A., Varvel, G., Doran, J.W. (2001). A simple performance based index for assessing multiple agroecosystem functions. Agron Journal, 93:313–318.
Lindsay, Willard L., and A. Norvell. 1978. Development of a DTPA Soil Test for Zinc, Iron, Manganese, and Copper 1. Soil science society of America journal, 42.3: 421-428.
Liu, Z. Wei, Z., Shen, J., Li, Sh., and Ai, C. (2014). Soil quality assessment of yellow clayey paddy soils with different productivity. Biology and Fertility of Soils, 50: 537-548.
Minasny, B., and McBratney, A.B. (2003). Integral energy as a measure of soil-water availability. Plant Soil, 249: 253-262.
Moebius, B.N., Van, E.s., H.M., Idowu, O.J.,   Schindelbeck, R.R. Kimetu, J.M., Ngoze, S., Lehmann, J., and Kinyangi, J.M. (2011). Long-term soil quality degradation along a cultivation Chronosequence in western Kenya. Agriculture, Ecosystems & Environment. Volume 141, Issues 1–2, Pages 86-99.
Nazarenko, S.M., Polchyna, V.A., Nikorych, and Gрунтознавство: Підручник, in: Soil Science: Textbook, Higher Education, Kyiv, Ukraine, (2004), 400 (in Ukrainian). [9] N.A. Kaczynski, Physica Pochv. Chast 1, in: Soil Physics. Part 1, Higher School, Moscow, 1965, 324 (in Russian).
Nelson, D. W., and Sommers, L.E. (1996).Total carbon, organic carbon, and organic matter. Methods of soil analysis part 3: chemical methods: 961-1010.
Olsen, S. R., and Sommers, L. E. (1982). Phosphorus.In: A. L. Page (Ed.). Methods of soil analysis, Agron. (No. 9). (Part 2): Chemical and Microbiological Properties. (2th Ed.). (pp. 403-430).Am. Soc. Agron., Madison, WI, USA.
Ortega, R. A., and Santibanez, O. A.  (2007). Determination of management zones in corn (Zea mays L.) based on soil fertility. Computer and Electronics in Agriculture, 58: 49- 59.
Painuli, D.K., Woodhead, T., and Pagliai, M. (1988). Effective use of energy and water in rice-soil puddling. Soil and Tillage Research. Volume 12(2):  149-161.
Pallant, J. (2005) SPSS survival manual: a step by step guide to data analysis using spss. Buckingham: Allen & unwin.
Pan, G., Smith, P., and Pan, W. (2009). The role of soil organic matter in maintaining the productivity and yield stability of cereals in China. Agriculture, Ecosystems & Environment, 129(1-3): 344-348.
Parker, JC, Amos, D.F., Kaster, D.L. (1977). Evaluation of several methods of estimating soil volume change. Soil science society of America journal, 41:1059–1064.
Pieri, C.J.M.G. (1992) Fertility of soils: A future for farming in the West African savannah. Springer series in physical Environment. Berlin, Germany.
Qi, Y., Darilek, J. L., Huang, B., Zhao, Y., Sun, W., and GU, Z. (2009). Evaluating soil quality indices in an agricultural region of Jiangsu Province, China. Geoderma, 149(3): 325-334.
Raiesi, F. (2017). A minimum data set and soil quality index to quantify the effect of land use conversion on soil quality and degradation in native rangelands of upland arid and semiarid regions. Ecological Indicators, 75:307–320.
Reynolds, W.D., Drury, C.F., Tan, C.S., Fox, C.A., and Yang, X.M. (2009). Use of indicators and pore volume function characteristics to quantify soil physical quality. Geoderma, 152:252-263.
Rezaei, S.A., Gilkes, R.J., and Andrews, S.S. (2006). A minimum data set for assessing soil quality in rangelands. Geoderma, 136: 229–234.
Sadusky, M. C., Sparks, D. L., Noll, M. R., and Hendricks, G. J. (1987). Kinetics and mechanisms ofpotassium release from sandy middle AtlanticCoastal plain soils. (pp.1460-1465). Soil Science Society of America Journa.
Seybold, C.A., Elrashidi, M.A., Engel, R.J. (2008). Linear regression models to estimate soil liquid limit and plasticity index from basic soil properties. Soil Science Society of America Journa, 173:25–34.
Sharma, S. (1996). Applied Multivariable techniques. John Wiley and Sons, New York.
Sheidai, E., Sepehry, A., Barani, H., Motamedi, J. and Shahbz, F. (2019). Establishing a Suitable Soil Quality Index for Semi-arid Rangeland Ecosystems in Northwest of Iran. Journal of Soil Science and Plant Nutrition. https://Doi.org/10.1007/s42729-019-00065-4
Silva, A.P., Kay, B.D. (1996). The sensitivity of shoot growth of corn to the least limiting water range of soils. Plant and Soil, v.184, p.323-329.
Skopp, J., Jawson, M.D., Doran, J.W. (1990). Steady-state aerobic microbial activity as a function of soil water content. Soil Science Society of America Journa, 54:1619– 1625.
Smaling, E.M.A., Braun, A.R. (1996).Soil fertility research in Sub-Saharan Africa: New dimension new challenges. Commun. Soil Science and Plan, 3(4): 365–386.
Sumner, M. E., and Miller, W. P. (1996). Cation exchange capacity and exchange coefficients. Methods of Soil Analysis Part 3-Chemical Methods, (methodsofsoilan3). (Pp.1201-1229).
Sun, B., Zhou, S., and Zhao, Q. (2003). Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma, 115(1), 85-99.
Tesfahunegn, G.B. (2014). Soil quality assessment strategies for evaluating soil degradation in Northern Ethiopia. https://Doi.org/10.1155/2014/646502.
Thomas, G. W. (1996). Soil pH and soil acidity. Methods of soil analysis Part 3-Chemical Methods, pp.475-490.
Torabi Golsefidi, H. (2001). Genesis, Classification and land suitability evaluation of wetland soils for irrigated rice in eastern Guilan province [Ph.D. Dissertation]. Iran: Isfahan University of Technology.
Veihmeyer, F.J., and Hendrickson, A.H. (1931). The moisture equivalent as a measure of the field capacity of soils. Soil Science Journal, 32: 181–193.
Warkentin, B.P., and H.F., Fletcher. 1977. Soil quality for intensive agriculture. Proc Int SEM on Soil Environ and Fert Manage in Intensive Agric Soc Sci Soil and Manure. Natl Inst of Agric Sci, Tokyo, pp. 594–598.
Wolf, B., and Snyder, G.H. (2003). Sustainable soils: the place of organic matter in sustainable soils and their productivity. New York (NY): Food Products Press.