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EFFECT OF THE SYSTEM OF RICE INTENSIFICATION (SRI) ON ...

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Table 8. An estimated picture of an annual nutrient budget for the target farmers. All nutrient values are in<br />

kg/ha. Kundu & Ladha (1999) refer to Koyama (1981) stating that upon applying organic materials 10-20% of<br />

the N is mineralized and thus plant available, and the rest is immobilised and lost. An average value of 15%<br />

mineralized N, P and K has been chosen. Nutrient inputs from sediments have not been included as no natural<br />

flooding occurred in the target area.<br />

N P K<br />

Input<br />

(Kg/ha) (Kg/ha) (Kg/ha) Specifications References<br />

Precipitation 12 0,2 12 Greenland (1997)<br />

Biological N fixation (BNF): mainly<br />

Azolla 30<br />

Dobermann & Fairhurst (2000)<br />

Seedling uptakes estimated to be 2% of straw of<br />

Transplanted seedlings (30 days)<br />

0,6 0,08 1,4<br />

5.25 t/ha. Uptake rates determined from De Datta<br />

(1987)<br />

N (1,67%), P (0,83%) and K (1,66%) of the<br />

Compost incl. GM 50 25 49,8 3t/ha<br />

compost estimated from Latif et al. (2005)<br />

Total 92,6 25,28 63,2<br />

Output<br />

Grain 38 7 11 3,5 t/ha grain yield Uptake rates estimated from De Datta (1987)<br />

Straw 26,6 3,8 67,5<br />

Leaching (percolation)<br />

Gaseous loss: Volatalization &<br />

20 1 10<br />

denitrification 4<br />

Total 88,6 11,8 88,5<br />

Net balance 4 13,48 - 25,3<br />

5,25t/ha dry<br />

weight<br />

Harvest Index 0,5 estimated from Dobermann &<br />

Fairhurst (2000). 5% from stubble not removed.<br />

Uptake rates estimated from De Datta (1987)<br />

Estimated from Dobermann & Fairhurst (2000) and<br />

N loss from leaching George et al. (1992)<br />

Estimated from Greenland (1997)<br />

9.6. Can <strong>SRI</strong> mitigate GHGs and at the same time increase soil quality<br />

through C sequestration?<br />

There are large differences between the theoretical concepts of <strong>SRI</strong> as described by Laulanie<br />

(1993), Stoop et al. (2002) and Sheehy et al. (2004) and the <strong>SRI</strong> conducted by the farmers in the<br />

target area of this study. This section will try to evaluate the consequences of the conceptual <strong>SRI</strong><br />

and the <strong>SRI</strong> conducted by the farmers in Prey Veng.<br />

Table 10 is a theoretical model illustrating how a theoretical <strong>SRI</strong> system as described by Stoop et al.<br />

(2002) and Sheehy et al. (2004) and the <strong>SRI</strong> practiced by farmers potentially will affect emissions<br />

of CH4, N2O and CO2 and influence the soil C pool.<br />

The use of a fluctuating water table resulting in periods of drainage and moist soils (Laulanie, 1993;<br />

Sheehy et al. 2004) will result in long periods with aerobic conditions reducing CH4, which though<br />

will lead to increased emissions of N2O but at the same time increase C content. SOM will therefore<br />

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