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Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka

机译:使用APSIM在多种农业气候条件和水管理技术下模拟水稻(Oryza sativa L.)的作物和水分生产率

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The APSIM-Oryza model has been used worldwide to evaluate the impact of diverse management practices on the growth of rice (Oryza sativa L). Despite its importance, the crop productivity (kg ha(-1)) and water productivity (kg ha(-1) mm(-1)) of rice under moisture-limited (i.e. rainfed or rainfed with supplementary alternate wetting-and-drying (AWD) irrigation) farmer-field conditions in tropical South-Asia has received little attention in modelling exercises. Benefits of aligning crop establishment with the onset of rainfall to reduce dependency on supplementary irrigation and improve crop and water productivities have not yet been quantified in Sri Lanka. Therefore, we parameterised and evaluated the APSIM-Oryza model for two widely grown Sri Lankan short- and medium-duration rice varieties. The model estimated the grain yield of rice under moisture-limited farmer-field conditions with a strong fit (n = 24, R-2 > 0.97, RMSE = 484 kg ha(-1)), across cultivation year, season, time of establishment (i.e. with rainfall onset or date-specific planting), variety and/or water management practice (i.e. totally rainfed or rainfed with supplementary irrigation). A climatic analysis indicated that the farmers regularly establish rice crops 2-4 weeks after the rainfall onset. This is a consequence of the current practice of setting the date for crop establishment at pre-season cultivation meetings without a scientifically-validated rainfall forecast. The same analysis revealed that an early onset to the rainy season resulted in longer seasons with more rain than late onset. When the onset of rainfall is delayed, crop modelling scenarios using the validated APSIM model showed an increased dependence on supplementary irrigation for rice cultivation. Alternatively, in years when an early onset was observed, late planting in the season reduced the use of rain water by 95% while increasing the irrigation water requirement by 11% compared with planting at rainfall onset. Access to supplementary with AWD irrigation increased the stability of grain yield, and crop and water productivity, irrespective of the onset of rainfall or time of crop establishment. (C) 2015 Elsevier B.V. All rights reserved.
机译:APSIM-Oryza模型已在全球范围内用于评估各种管理措施对水稻(Oryza sativa L)生长的影响。尽管具有重要意义,但在水分受限的情况下(即雨育或补充湿润和干燥交替进行的雨育),水稻的作物生产力(kg ha(-1))和水生产力(kg ha(-1)mm(-1)) (AWD)灌溉)南亚热带地区的农民田间条件在建模练习中很少受到关注。斯里兰卡尚未对使作物的生长适应降雨的影响减少对补充灌溉的依赖以及提高作物和水的生产力所带来的好处。因此,我们对两个广泛种植的斯里兰卡中短期水稻品种的APSIM-Oryza模型进行了参数化和评估。该模型估算了在不同的耕作年,季节,时间和条件下,在水分受限的农民田间条件下水稻的谷物产量具有很强的适应性(n = 24,R-2> 0.97,RMSE = 484 kg ha(-1))。建立(即降雨开始或按日期种植),品种和/或水管理实践(即完全降雨饲养或补充灌溉降雨)。气候分析表明,农民在降雨开始后的2-4周定期定种水稻。这是由于目前的惯例,即在没有经过科学验证的降雨预报的情况下,在季前种植会议上确定作物定植日期的做法。相同的分析表明,雨季的早起导致雨季长于晚雨。当降雨开始延迟时,使用经过验证的APSIM模型进行的作物建模场景显示出对水稻种植的补充灌溉的依赖性增加。另外,在观察到早起的年份中,与降雨开始时的种植相比,该季节的晚播减少了雨水的使用,减少了95%,灌溉用水需求却增加了11%。不论降雨的开始或农作物的种植时间如何,使用AWD灌溉的辅助手段均可提高谷物产量的稳定性以及作物和水分的生产率。 (C)2015 Elsevier B.V.保留所有权利。

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