Potential for integrated farming systems for
   improving productivity in saline and
              waterlogged soils




 ...
ISSUE-2
    To develop the reclamation technology in waterlogged sodic soils.

STRATEGIES
    Identify constraints, develo...
Water Balance
Water Balance Component of the Pond was computed with the help of following equation

       VSm = ∑ VRm − ∑...
Required average water depth and actual water depth in pond

                  200
                                       ...
Pond water balance

                       8000
volume of water, cu.




                       7000
                     ...
Water movement through pond


                2500


                2000


                1500


                1000
vo...
3.0             EC-2007                EC-2008
                Canal EC-2007          Canal EC-2008
2.5


2.0


1.5


1.0
...
700             Tot.alk.08 ppm          Tot.Alk.07 ppm

600

500

400

300

200

100

 0



 Se 8
M 8




 No 8
 Au 8
    ...
Performance of different crops on embankments of pond
Important parameters of water in pond
Particulars                 Period (2008)

                    Jan 10 May 07 Aug 29
...
Growth of fish
Name of                     Duration/Parameters
Fish

           Jan 10, 2008        May 07, 2008        Au...
Cost benefit ratio of different cropping systems

 Crops    Area    Yield   q/ha    Gross    Cost of     Net     B:C
     ...
Cost benefit ratio of different cropping systems

    Crop rotation               Net return   B:C ratio

Rice-Wheat      ...
Total energy (MJ ha-1) input and output of different
   cropping systems

  Cropping      Human    Diesel    N, P   Seeds ...
Thank you very much for your attention
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
Potential for integrated farming systems for improving productivity in saline and waterlogged soils
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Potential for integrated farming systems for improving productivity in saline and waterlogged soils

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Presented at the 2nd Phase Planning and Review Workshop of the Indo-Ganges BFP, 24-25 February, 2009, Haryana, India

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Potential for integrated farming systems for improving productivity in saline and waterlogged soils

  1. 1. Potential for integrated farming systems for improving productivity in saline and waterlogged soils CENTRAL SOIL SALINITY RESEARCH INSTITUTE Regional Research Station, Lucknow
  2. 2. ISSUE-2 To develop the reclamation technology in waterlogged sodic soils. STRATEGIES Identify constraints, development of viable technology. PROGRAMMES Agri-aquaculture based farming system research through appropriate land modification in water logged sodic soil in the adjoining of main canal by harnessing the seepage water. Feasibility of summer crops for exploiting the shallow ground water in the adjoining area of the main canals. Evaluation of multi lateral interceptor drains to control seepage to minimize waterlogging and salt build up. Sub- surface drainage (horizontal and vertical) for reclamation of waterlogged sodic soil.
  3. 3. Water Balance Water Balance Component of the Pond was computed with the help of following equation VSm = ∑ VRm − ∑ VEm − ∆S m (1) VSm = monthly volume of upward/downward seepage from the pond, L3 VRm = monthly volume of rainfall water, L3 VEm = monthly volume of water evaporated from pond, L3 Sm = monthly change in pond water storage, L3 Following equation was used for computing the Monthly Water Balance VTm = VIm + VRm + VMs−upward (2) VTm = total monthly volume of pond water VIm = initial pond storage VRm = monthly volume of rainfall water VMs = upward/downward seepage
  4. 4. Required average water depth and actual water depth in pond 200 pond avg. depth required 180 160 140 water depth, cm 120 100 80 60 40 20 0 Spt.07 Oct. 07 Nov. 07 Dec. 07 Jan. 08 Feb. 08 Mar. 08 Aprl. 08 May. 08 June. July. 08 Aug. 08 08 month
  5. 5. Pond water balance 8000 volume of water, cu. 7000 6000 5000 m 4000 3000 2000 1000 0 15 Oct. Nov. Dec. Jan. Feb. Mar. Aprl. May. June. July. Aug. Sept. 07 07 07 08 08 08 08 08 08 08 08 07 month
  6. 6. Water movement through pond 2500 2000 1500 1000 volume, cu. m 500 0 -500 -1000 -1500 Sept.07 Oct. 07 Nov. 07 Dec. 07 Jan. 08 Feb. 08 Mar. 08 Aprl. 08 May. 08 June. 08 July. 08 Aug. 08 month
  7. 7. 3.0 EC-2007 EC-2008 Canal EC-2007 Canal EC-2008 2.5 2.0 1.5 1.0 0.5 0.0 em t y er il ay y e r ry ch r s r l De be be r ar n be gu Ju ob Ap ua M Ju ar nu m m Au ct br M ve ce Ja O Fe pt No Se Fig. Yearwise change in EC of pond water
  8. 8. 700 Tot.alk.08 ppm Tot.Alk.07 ppm 600 500 400 300 200 100 0 Se 8 M 8 No 8 Au 8 08 08 De 8 08 8 Fe 8 8 M 8 0 r. 0 0 .0 .0 l.0 0 .0 0 g. v. n. p. c. n. ct ay ar b. Ju Ap Ju Ja O Fig. Yearwise change in Carbonate and bicarbonate alkalinity of pond water
  9. 9. Performance of different crops on embankments of pond
  10. 10. Important parameters of water in pond Particulars Period (2008) Jan 10 May 07 Aug 29 Dissolved Oxygen 7.4 6.9 6.8 Air Temperature 22.0 35.6 39.2 Water Temperature 21.2 33.0 38.0
  11. 11. Growth of fish Name of Duration/Parameters Fish Jan 10, 2008 May 07, 2008 Aug 29, 2008 Weight Length Weight Length Weight Length (gm) (cm) (gm) (cm) (gm) (cm) Silver 75.0 14.0 255 27.0 375 42.0 carp Katla 45.0 5.5 62.4 17.5 400.0 30.0 Rohu 115.0 10.0 230 23.5 287.5 33.5 Mrigal 20.0 6.5 55.0 17.5 337.5 35.5 Common 13.5 11.5 195.5 23.5 375.0 45.0 Carp
  12. 12. Cost benefit ratio of different cropping systems Crops Area Yield q/ha Gross Cost of Net B:C (m2) (kg) income cultivation return ratio Rice 1183 594.2 50.2 32134 16700 15434 1.92 Wheat 1583 517.6 36.4 33160 14300 18860 2.31 Sorghum 500 830.5 166.0 13280 6500 6780 2.04 Onion 216 110.3 50.9 40736 21200 19536 1.92 Garlic 72.91 40.2 34.6 69200 22600 46600 3.06 Brinjal 44.75 34.5 75.9 37985 17400 20585 2.18 Mustard 700 60.7 8.8 15750 9600 6150 1.64
  13. 13. Cost benefit ratio of different cropping systems Crop rotation Net return B:C ratio Rice-Wheat 34294 2.10 Rice-Mustard 21584 1.82 Sorghum-Wheat 25640 2.23 Maize-Onion 19536* 1.92 Chilli-Garlic 46600 3.06 Fish 127775 3.58 *Maize crop was damaged by blue bulls
  14. 14. Total energy (MJ ha-1) input and output of different cropping systems Cropping Human Diesel N, P Seeds Irrigation Total Energy Ratio system labour and K input output Rice-wheat 182 5330 19868 2352 12387 40140 209363 5.21 Rice- 171 6751 19696 838 8784 36190 169786 4.96 Mustard Sorghum- 133 5228 12334 1941 5358 24994 101525 4.06 wheat Chilli-garlic 530 4089 19767 11522 5416 41324 53722 1.30
  15. 15. Thank you very much for your attention

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