Banner
Current IssueEditorial BoardOnline First ArticlesArchive
Current IssueEditorial BoardOnline First ArticlesArchive

volume 49 issue 4 (august 2015) : 315-320,   Doi: 10.5958/0976-058X.2015.00057.8

Soil informatics for agricultural land suitability assessment in Seoni district, Madhya Pradesh, India

B
B.P. Bhaskar
S
S.V. Bobade
S
S.S. Gaikwad
D
Dipak Sarkar
S
S.G. Anantwar
T
Tapas Bhattacharyya
1Division of Soil Resource Studies, National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur-440 010, India
Cite article:- Bhaskar B.P., Bobade S.V., Gaikwad S.S., Sarkar Dipak, Anantwar S.G., Bhattacharyya Tapas (2025). Soil informatics for agricultural land suitability assessment in Seoni district, Madhya Pradesh, India. Indian Journal of Agricultural Research. 49(4): 315-320. doi: 10.5958/0976-058X.2015.00057.8.

ABSTRACT

The soil informatics for agromanagement at district level is a valuable tool for making environmentally suitable land use systems and assessing fertility constraints for crop production in tribal dominated Seoni district, Madhya Pradesh, India. The methodology combining soil survey with geographic information system and standard land evaluation procedures were adopted to evaluate suitability of soil units for locally suitable crops. The physiography - soil map with thirty soil mapping units (series association) was generated over fourteen distinct basaltic and granitic landforms through reconnaissance soil survey. The arability and suitability analysis showed that fifty six per cent of arable land is suitable for eleven land use zones. In arable lands, twenty four per cent of basaltic clay soils in northern plateaus were evaluated as suitable for citrus, sorghum and soybean cropping systems with fertility constraints of low available nitrogen , phosphorus and zinc while 15.3 per cent of granitic soils in southern zone for sorghum and cotton systems having limitations of stoniness, low water holding capacity, low status of available nitrogen, phosphorus, potassium and zinc.

REFERENCES

  1. Adeyanju, A. and Fasina, A.S. (2007). Comparision of three land evaluation systems in evaluating the predictive value of some selected soils in Ado-Ekiti, South West Nigeria. Nigerian Journal of Soil Science, 17:113-119
  2. Bobade, S.V., Bhaskar, B.P., Gaikwad, M.S., Raja, P., Gaikwad, S.S., Anantwar, S.G., Patil, S.V., Singh, S.R., Maji, A.K. (2010). A GIS based land use suitability assessment in Seoni district, Madhya Pradesh, India. Tropical Ecology, 51(1):41-54.
  3. Card (2010). Impact assessment of ICDS in Madhya Pradesh. Final report.2009-2010 submitted by PMPSU (poverty monitoring and policy support unit). Study supported by DFID (Department for International Development). PP. 1-177.
  4. Coleman, A.L. and Galbraith, J.M. (2000). Using GIS as an agricultural land use planning tool. Bulletin 002, Virginia Agriculural Experiment Station. Blacks burg, Virginia.,pp.1-93.
  5. Dent, F.J, and Young, A. (1980). Soil Survey and Land Evaluation. George Allen and Unum. London. pp.278.
  6. District Statistical Report. (2003). Seoni District, Madhya Pradesh, District Statistical Office, Seoni.
  7. Eswaran, H., Reich, P. and Beinroth, F. (2000). Land resources of South Asia-stresses, quality and population supporting capacity. International Conference on Managing natural resources for Sustainable Agricultural production in the 21st Century, Invited papers. New Delhi, February 14-18. pp.97-109.
  8. Jain, S.C., Nair, K.K.K. and Yedekar, D.B. (1995). Geologyof the Son-Narmada-Tapti Lineament Zone in Central India, Spl. Publ. Geol. Survey India 10 : 1-154.
  9. FAO. (1976). A Frame work for land evaluation. Soils Bulletin 3,FAO, Rome, 72pp.
  10. Klingebiel, A.A. and Montgomery, P.H. (1961). Land capability classification. Agri. Handb.210,USDA, Soil conserve. Serv., Washigton, DC.
  11. Kushwaha, S.P.S., Subramanian, S.K., Kameswara Rao, S.V.C., .Ramana Murthy, J., Chennaiah, G., Perumal, A. and Beherea, G. (1996). Interfacing remote sensing and GIS methods for sustainable development. International Journal of Remote Sensing, 17:3055-3069.
  12. Maji, A.K., Nayak, D.C., Krishna, N.D.R., Srinivas, C.V., Kamble, K., Reddy ,G.P.O.and Velayutham, M, (2001). Soil information system of Arunachal Pradesh in a GIS environment for land use planning. International Journal of Applied Earth Observation and Geoinformation, 3:69-77.
  13. Mermut, A.R., .Acton, D.F. and Eilers, W.D. (1983). Estimation of soil erosion and deposition by a landscape analysis Technique on clay soils in Southwestern Saskatchewan. Canadian Journal of Soil Science, 63:727-739.
  14. Pofali, R.M., Gaikwad, S.T. and Swaminanathan, M. (1995). Study of Geomorphic Features in Chandrapur District, Maharashtra. In: Jog, S.R., (Ed.), Indian Geomorphology, Rawat Publications, Jaipur, 2:221-229.
  15. Prakash, A.K., Muralikrishna, I.V., Mishra,P.K. and Chalam, R.V.R.K. (2007). Deciding alternate land use options in a watershed using GIS. Journal of Irrigation and Drainage Engineering, 133:162-174.
  16. Reddy, R.S. (2006). Methodology for Correlation of Soil Series in Soil Survey and Mapping. Agropedology, 6:1-11.
  17. Sanchez, P.A., Couto, W. and Bou,l S.W. (1982). The fertility capability soil classification : interpretation, applicability and modification. Geoderma, 27:283-309.
  18. Schoeneberger, P.J., Wysocki, D.A., Benham, E.C. and Soil Survey Staff. (2012). Field book for describing and sampling soils. Version 3.0., Natural Resources Conservation Service, National Soil Survey Center, Lincoln, NE.
  19. Soil Survey Division Staff. (1995)..Soil Survey Manual. Agric. Handb.18, U.S.Dept.Agric.. Indian Print. Jodhpur, Scientific Publishers..
  20. Soil Survey Staff. (2006). Keys to Soil Taxonomy.. United States Department of Agriculture , Natural Resource Conservation Service. Washington, DC.
  21. Subba Rao, A., Rupa, T.R. and Srivastava, S. (2001). Assessing potassium availability in Indian Soils. In: N.S. Pasricha and S.K. Banasal (ed.) Potassium in Indian Agriculture, special publication: Potash Research Institute of India, Gurgaon, Haryana: 125-157.
  22. Subramanyan,V. (1974 A quantitative analysis of two drainage basins around Sagar, M.P. Proc. Indian Natn.Sci.Acad., 40: 76-99.
  23. Sys, Ir.C, .Van Ranst, E. and Debaveye, Ir. J. (1991). Land Evaluation (Part-I to III). Agricultural Publications No.7, Central Administration of Development Cooperation , Brussels, Belgium.
  24. Velayutham, M., Mandal, D.K., Mandal, C. and Sehgal, J.L. (1999). Agroecological subregions in India for planning and devielopment. Publ. No. 35, NBSS&LUP, Nagpur.
  25. Zinck, J.A.(1989).Physiography and soils .Lecture notes for soil students.Soil Science Division.Soil Survey Courses subject matter. K5, ITC, Enchede, The Netherlands.
Published In
Indian Journal of Agricultural Research
Article Metrics
Metrics Icon
0
Views
0
Citations
Reviewed By
Share Article
Download Article
In this Article
    Contact us
    Follow us

    volume 49 issue 4 (august 2015) : 315-320,   Doi: 10.5958/0976-058X.2015.00057.8

    Soil informatics for agricultural land suitability assessment in Seoni district, Madhya Pradesh, India

    B
    B.P. Bhaskar
    S
    S.V. Bobade
    S
    S.S. Gaikwad
    D
    Dipak Sarkar
    S
    S.G. Anantwar
    T
    Tapas Bhattacharyya
    1Division of Soil Resource Studies, National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur-440 010, India
    Cite article:- Bhaskar B.P., Bobade S.V., Gaikwad S.S., Sarkar Dipak, Anantwar S.G., Bhattacharyya Tapas (2025). Soil informatics for agricultural land suitability assessment in Seoni district, Madhya Pradesh, India. Indian Journal of Agricultural Research. 49(4): 315-320. doi: 10.5958/0976-058X.2015.00057.8.

    ABSTRACT

    The soil informatics for agromanagement at district level is a valuable tool for making environmentally suitable land use systems and assessing fertility constraints for crop production in tribal dominated Seoni district, Madhya Pradesh, India. The methodology combining soil survey with geographic information system and standard land evaluation procedures were adopted to evaluate suitability of soil units for locally suitable crops. The physiography - soil map with thirty soil mapping units (series association) was generated over fourteen distinct basaltic and granitic landforms through reconnaissance soil survey. The arability and suitability analysis showed that fifty six per cent of arable land is suitable for eleven land use zones. In arable lands, twenty four per cent of basaltic clay soils in northern plateaus were evaluated as suitable for citrus, sorghum and soybean cropping systems with fertility constraints of low available nitrogen , phosphorus and zinc while 15.3 per cent of granitic soils in southern zone for sorghum and cotton systems having limitations of stoniness, low water holding capacity, low status of available nitrogen, phosphorus, potassium and zinc.

    REFERENCES

    1. Adeyanju, A. and Fasina, A.S. (2007). Comparision of three land evaluation systems in evaluating the predictive value of some selected soils in Ado-Ekiti, South West Nigeria. Nigerian Journal of Soil Science, 17:113-119
    2. Bobade, S.V., Bhaskar, B.P., Gaikwad, M.S., Raja, P., Gaikwad, S.S., Anantwar, S.G., Patil, S.V., Singh, S.R., Maji, A.K. (2010). A GIS based land use suitability assessment in Seoni district, Madhya Pradesh, India. Tropical Ecology, 51(1):41-54.
    3. Card (2010). Impact assessment of ICDS in Madhya Pradesh. Final report.2009-2010 submitted by PMPSU (poverty monitoring and policy support unit). Study supported by DFID (Department for International Development). PP. 1-177.
    4. Coleman, A.L. and Galbraith, J.M. (2000). Using GIS as an agricultural land use planning tool. Bulletin 002, Virginia Agriculural Experiment Station. Blacks burg, Virginia.,pp.1-93.
    5. Dent, F.J, and Young, A. (1980). Soil Survey and Land Evaluation. George Allen and Unum. London. pp.278.
    6. District Statistical Report. (2003). Seoni District, Madhya Pradesh, District Statistical Office, Seoni.
    7. Eswaran, H., Reich, P. and Beinroth, F. (2000). Land resources of South Asia-stresses, quality and population supporting capacity. International Conference on Managing natural resources for Sustainable Agricultural production in the 21st Century, Invited papers. New Delhi, February 14-18. pp.97-109.
    8. Jain, S.C., Nair, K.K.K. and Yedekar, D.B. (1995). Geologyof the Son-Narmada-Tapti Lineament Zone in Central India, Spl. Publ. Geol. Survey India 10 : 1-154.
    9. FAO. (1976). A Frame work for land evaluation. Soils Bulletin 3,FAO, Rome, 72pp.
    10. Klingebiel, A.A. and Montgomery, P.H. (1961). Land capability classification. Agri. Handb.210,USDA, Soil conserve. Serv., Washigton, DC.
    11. Kushwaha, S.P.S., Subramanian, S.K., Kameswara Rao, S.V.C., .Ramana Murthy, J., Chennaiah, G., Perumal, A. and Beherea, G. (1996). Interfacing remote sensing and GIS methods for sustainable development. International Journal of Remote Sensing, 17:3055-3069.
    12. Maji, A.K., Nayak, D.C., Krishna, N.D.R., Srinivas, C.V., Kamble, K., Reddy ,G.P.O.and Velayutham, M, (2001). Soil information system of Arunachal Pradesh in a GIS environment for land use planning. International Journal of Applied Earth Observation and Geoinformation, 3:69-77.
    13. Mermut, A.R., .Acton, D.F. and Eilers, W.D. (1983). Estimation of soil erosion and deposition by a landscape analysis Technique on clay soils in Southwestern Saskatchewan. Canadian Journal of Soil Science, 63:727-739.
    14. Pofali, R.M., Gaikwad, S.T. and Swaminanathan, M. (1995). Study of Geomorphic Features in Chandrapur District, Maharashtra. In: Jog, S.R., (Ed.), Indian Geomorphology, Rawat Publications, Jaipur, 2:221-229.
    15. Prakash, A.K., Muralikrishna, I.V., Mishra,P.K. and Chalam, R.V.R.K. (2007). Deciding alternate land use options in a watershed using GIS. Journal of Irrigation and Drainage Engineering, 133:162-174.
    16. Reddy, R.S. (2006). Methodology for Correlation of Soil Series in Soil Survey and Mapping. Agropedology, 6:1-11.
    17. Sanchez, P.A., Couto, W. and Bou,l S.W. (1982). The fertility capability soil classification : interpretation, applicability and modification. Geoderma, 27:283-309.
    18. Schoeneberger, P.J., Wysocki, D.A., Benham, E.C. and Soil Survey Staff. (2012). Field book for describing and sampling soils. Version 3.0., Natural Resources Conservation Service, National Soil Survey Center, Lincoln, NE.
    19. Soil Survey Division Staff. (1995)..Soil Survey Manual. Agric. Handb.18, U.S.Dept.Agric.. Indian Print. Jodhpur, Scientific Publishers..
    20. Soil Survey Staff. (2006). Keys to Soil Taxonomy.. United States Department of Agriculture , Natural Resource Conservation Service. Washington, DC.
    21. Subba Rao, A., Rupa, T.R. and Srivastava, S. (2001). Assessing potassium availability in Indian Soils. In: N.S. Pasricha and S.K. Banasal (ed.) Potassium in Indian Agriculture, special publication: Potash Research Institute of India, Gurgaon, Haryana: 125-157.
    22. Subramanyan,V. (1974 A quantitative analysis of two drainage basins around Sagar, M.P. Proc. Indian Natn.Sci.Acad., 40: 76-99.
    23. Sys, Ir.C, .Van Ranst, E. and Debaveye, Ir. J. (1991). Land Evaluation (Part-I to III). Agricultural Publications No.7, Central Administration of Development Cooperation , Brussels, Belgium.
    24. Velayutham, M., Mandal, D.K., Mandal, C. and Sehgal, J.L. (1999). Agroecological subregions in India for planning and devielopment. Publ. No. 35, NBSS&LUP, Nagpur.
    25. Zinck, J.A.(1989).Physiography and soils .Lecture notes for soil students.Soil Science Division.Soil Survey Courses subject matter. K5, ITC, Enchede, The Netherlands.
    In this Article
      Contact us
      Follow us
      Published In
      Indian Journal of Agricultural Research

      Editorial Board

      View all (0)