Assessment of Organic Carbon Status in Indian Soils - Soil Carbon: Science, Management and Policy for Multiple Benefits - page 337

Sorghum Wheat Rice Linear (test)

6.0

4.0

2.0

y = 1.0473 x -0.1213
R 2 = 0.642

0.0

0.0 2.0 4.0 6.0

Measured yield (t ha -1 )

Fig. 28.2. Modelled versus measured yield from the Century model for two long-term fertilizer experiments
in India. (From Bhattacharyya et al ., 2010.)

Long-term fertilizer experimental spots

Nabibagh Panjri Sarol Akola Holambi ZarifaViran Teligi

1400

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/ // / / /
/./././././

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/ / / / // /
// / / / /

1200

/ / / / / / /
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/ / / / / / /
/ / // / / /
// / / / /

800

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600

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400

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200

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/

0

Rate modifier for moisture sum 5.79 5.73 5.06 5.2 4.80 4.82 4.33

MAR (mm) 1209 1160 1053 794 664 6105 505

Clay (%) 522 565 627 5019 1945 2748 5774

Rainfall in wet months (mm) 922 846 804 541 491 496 214

Fig. 28.3. Schematic diagram showing the decomposition rate modifiers in different long-term fertilizer
experiments. The LTFE spots of Akola, Holambi and Zarifa Viran are shown for comparison to find the
threshold limits for rainfall, but are not discussed in this paper (Bhattacharyya et al ., 2011). MAR, mean
annual rainfall.

and temperature in four different scenarios
of climate change. The effect of change in
temperature and CO 2 was studied in rainfed
cotton for a gradual increase in CO 2 ( 369,
543 and 789 ppm) and temperature (0, 1, 2, 3,
4 and 5°C) during the entire crop growth
period ( Bhattacharyya et al ., 2012). Wea-
ther and agronomic management practices,
which influence crop growth and yield, vary

considerably in different parts of India. The
simulation results indicate that increased
temperature has a pronounced negative ef-
fect on cotton crop yields. Across all four
selected places, the simulated potential
yield of cotton decreased with an increase
in temperature. The decrease in potential
yield varied from 13 to 32% against a tem-
perature increase of 3°C, and varied from