Short-term effects of crop rotation,residue management,and soil water on carbon mineralization in a tropical cropping system |
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Authors: | S. G. K. Adiku S. Narh J. W. Jones K. B. Laryea G. N. Dowuona |
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Affiliation: | 1. Tea Research Foundation of Kenya, P.O. Box 820-20200, Kericho, Kenya 2. Crop and Weed Ecology Group, Plant Sciences, Wageningen University, P.O. Box 430, 6700 AK, Wageningen, The Netherlands 3. Soil Quality Group, Environmental Sciences, Wageningen University/Alterra, P.O. Box 47, 6700 AA, Wageningen, The Netherlands
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Abstract: | The purpose of this study was to investigate the short-term effects of maize (Zea mays)-fallow rotation, residue management, and soil water on carbon mineralization in a tropical cropping system in Ghana. After 15 months of the trial, maize–legume rotation treatments had significantly (P?0.001) higher levels of potentially mineralizable carbon, C 0 (μg CO2–C g?1) than maize–elephant grass (Pennisetum purpureum) rotations. The C 0 for maize–grass rotation treatments was significantly related to the biomass input (r?=?0.95; P?=?0.05), but that for the maize–legume rotation was not. The soil carbon mineralization rate constant, k (per day), was also significantly related to the rotation treatments (P?0.001). The k values for maize–grass and maize–legume rotation treatments were 0.025 and 0.036 day?1 respectively. The initial carbon mineralization rate, m 0 (μg CO2–C g?1 day ?1), was significantly (P?0.001) related to the soil water content, θ. The m 0 ranged from 3.88 to 18.67 and from 2.30 to 15.35 μg CO2–C g?1 day?1 for maize–legume and maize–grass rotation treatments, respectively, when the soil water varied from 28% to 95% field capacity (FC). A simple soil water content (θ)-based factor, f w, formulated as: (f_{text{w}} = left[ {frac{{theta - theta _{text{d}} }}{{theta _{{text{FC}}} - theta _{text{d}} }}} right]), where θ d and θ FC were the air-dry and field capacity soil water content, respectively, adequately described the variation of the m 0 with respect to soil water (R 2?=?0.91; RMSE?=?1.6). Such a simple relationship could be useful for SOC modeling under variable soil water conditions. |
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