Guan'gai paishui xuebao (May 2024)
Efficacy of oxygenation and fertilization in ameliorating rice yield reduction due to rapid shift from drought to flooding in Dongting Lake Area
Abstract
【Objective】 Prolonged drought followed by flooding is a phenomenon facing rice production in Southern China. This paper investigates the efficacy of fertilization and oxygenation in mitigating rice yield reduction induced by a rapid shift from drought to flooding. 【Method】 The experiment was conducted in pots, with the locally grown late rice variety Yexiangyouhang 1 573 used as the model plant. The severity of drought was mimicked by controlling the soil water content at a percentage of the field capacity, and the flooding was mimicked by keeping a water level on the soil surface; oxygenation was to dissolve oxygen into the irrigation water. Conventional irrigation and fertilization used locally was taken as the control. All treatments considered a single shift from drought to flooding, and they differed only in drought and flooding severity. A quadratic regression model was used to describe the relationship between rice yield and the four factors, with model coefficients being estimated by the quadratic saturated D-optimal design. 【Result】 ① The effect of a single factor on the rice yield was ranked in the order of: flooding > oxygenation > fertilization > drought. The two-factor effect on the rice yield was ranked in the order of: oxygenation -fertilization > drought-oxygenation > drought-flooding > drought-fertilization > flooding-oxygenation > flooding-fertilization. A light drought can improve the efficacy of oxygenation and fertilization in mitigating the yield reduction, but severe drought and flooding substantially reduced the rice yield. ② With the increase in drought and fertilization, rice yield increased first and then declined; increasing flooding severity led to a yield reduction; increasing oxygenation increased yield. ③ Optimization calculation showed, compared to the CK, oxygenation and fertilization can ameliorate the yield reduction to 39.47% on average, compared with the average yield reduction of 49.01% without fertilization and oxygenation. 【Conclusion】 The proposed model accurately describes the effect of drought, flooding, fertilization and oxygenation on rice yield, with R2=0.978, F=118.55 and P<0.01. It can be used to assess the efficacy of different methods for mitigating rice yield reduction caused by a rapid shift from drought to flooding under different conditions in the Dongting Lake Area.
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