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Application of the CSM-CERES-Rice model for evaluation of plant density and irrigation management of transplanted rice for an irrigated semiarid environment.

机译:CSM-CERES-Rice模型在半干旱灌溉环境下用于评估插秧水稻的植物密度和灌溉管理的应用。

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The objectives of this study were to evaluate the performance of the Cropping System Model (CSM)-CERES (Crop-Environment Resource Synthesis)-Rice for simulating growth and yield of rice under irrigated conditions for a semiarid environment in Pakistan and to determine the impact of plant density and irrigation regime on grain yield and economic returns. The crop simulation model was evaluated with experimental data collected in 2000 and 2001 in Faisalabad, Punjab, Pakistan. The experiment utilized a randomized complete block design with three replications and included three plant densities (one seedling hill-1, PD1; two seedlings hill-1, PD2; and three seedlings hill-1, PD3) and five irrigation regimes (625 mm, I1; 775 mm, I2; 925 mm, I3; 1075 mm, I4; and 1225 mm, I5). To determine the most appropriate combination of plant densities and irrigation regimes, four plant densities from one seedling hill-1 to four seedlings hill-1 and 17 irrigation regimes ranging from 0 to 1600 mm, for a total of 68 different scenarios, were simulated for 35 years of historical daily weather data. The evaluation of CSM-CERES-Rice showed that the model was able to accurately simulate growth and yield of rice for irrigated semiarid conditions, with an average error of 11% between simulated and observed grain yield. The results of the biophysical analysis showed that the combination of the two seedlings hill-1 plant density and the 1,300 mm irrigation regime produced the highest yield compared to all other scenarios. Furthermore, the economic analysis through the Mean-Gini Dominance (MGD) also showed the superiority of this treatment compared to the other treatment combinations. The mean monetary return ranged from -47 to 1,265 $ ha-1 among all 68 scenarios. However, to be able to furnish the demand of rice grain for local consumption and to increase export, there is a need to expand this technology among the rice growers of other rice producing areas in Pakistan through extension workers.
机译:这项研究的目的是评估作物系统模型(CSM)-CERES(作物-环境资源综合)-稻米在巴基斯坦半干旱环境下模拟灌溉条件下水稻的生长和产量的性能,并确定其影响密度和灌溉方式对谷物产量和经济回报的影响作物模拟模型是根据2000年和2001年在巴基斯坦旁遮普邦的费萨拉巴德收集的实验数据进行评估的。该实验采用了随机的完全区组设计,具有三个重复,包括三个植物密度(一个苗丘 -1 ,PD 1 ;两个苗丘 -1 ,PD 2 ;和三个幼苗Hill -1 ,PD 3 )和五种灌溉方式(625 mm,I 1) ; 775 mm,I 2 ; 925 mm,I 3 ; 1075 mm,I 4 ;和1225 mm,I < sub> 5 )。为了确定最合适的植物密度和灌溉方式组合,从一个苗丘 -1 到四个苗丘 -1 的四种植物密度和从0到0的17种灌溉方式针对35年的历史每日天气数据模拟了1600毫米(共68种不同情况)。 CSM-CERES-Rice的评估表明,该模型能够在灌溉半干旱条件下准确模拟水稻的生长和产量,模拟和观察到的谷物产量之间的平均误差为11%。生物物理分析结果表明,与所有其他方案相比,两种幼苗hill -1 植物密度和1300 mm灌溉制度的组合产生了最高产量。此外,通过均值基尼优势(MGD)进行的经济分析也表明,与其他治疗组合相比,该治疗的优越性。在所有68种情况下,平均货币收益范围为-47至1,265 $ ha -1 。然而,为了能够满足当地消费的稻米需求并增加出口,有必要通过推广人员在巴基斯坦其他稻米产区的稻米种植者中扩展这项技术。

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