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Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India

机译:印度西孟加拉邦沿海盐水区水稻 - 稻草种植系统的建模产量和季节性土壤盐度动态

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Due to seasonal dry-season salt accumulation in the coastal saline zone (CSZ) of West Bengal, India, the cultivation of winter crops (following summer rice) is rare. To address this issue, field experiments were conducted over two years (2016–18) in the CSZ to study the feasibility of cropping system intensification through incorporating grass pea into the dominant rice-fallow rotation. The experiment was conducted in strip plot design with two factors namely, Factor A: Six dates of rice sowing (at one-week intervals—2nd week of June to 3rd week of July) and Factor B: Two land situations (Medium-upland and Medium-lowland). The experiment was simulated using APSIM (Agricultural Production Systems sIMulator) utilizing the APSIM-SWIM water balance module to understand the mechanisms of seasonal soil salinity dynamics and the associated crop responses. The results suggest that irrespective of land situation, early sown rice (2nd week of June) produces higher dry matter and yield compared to late sown crops. This early rice sowing also facilitated better subsequent grass pea performance, by avoiding the worst of the salinity build-up and drought stress later in the winter. The model performed well in simulating the observed rice and grass pea yields (R2 = 0.97 with low bias (slope, α = 0.93, intercept, β = 149 kg ha?1), RMSE = 558 kg ha?1). It may be concluded that ASPIM-SWIM is an effective tool to understand, assess and predict the complex bio-physical mechanisms of ground water and soil salinity dynamics in rice-pulse-based cropping systems of CSZ of West Bengal.
机译:由于印度西孟加拉邦沿海盐水区(CSZ)的季节性干季盐积累,冬季作物的培养(夏季米饭)很少见。为了解决这个问题,现场实验在CSZ中进行了两年(2016-18),以研究通过将草豌豆纳入主要稻米休耕的循环旋转来研究种植系统强化的可行性。该实验在带有两个因素的条带情节设计中进行,因素A:六个稻播日期(以6月为6月的第2周为第2周的一周间隔)和因素B:两种土地情况(中等 - 北方和中低地)。使用APSIM(农业生产系统模拟器)模拟实验,利用APSIM游泳水平衡模块来了解季节性土壤盐度动态和相关作物反应的机制。结果表明,与土地局势无关,与晚期播种作物相比,早期播种的稻米(6月2日)产生更高的干物质和产量。这种早稻播种还促进了随后的草豌豆表现,通过避免在冬季后期的盐度积累和干旱压力的最严重的情况下。该模型在模拟观察到的稻米和草豌豆产量(具有低偏压的R2 = 0.97(斜率,α= 0.93,截距,β= 149kgHa≤1),Rmse = 558 kg Ha?1)。可以得出结论,Aspim-Swin是理解,评估和预测西孟加拉邦CSZ水稻脉冲种植系统中地下水和土壤盐度动态的复杂生物物理机制的有效工具。

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