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Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model 总被引:1,自引:0,他引:1
J. Timsina D. Godwin E. Humphreys Yadvinder-Singh Bijay-Singh S.S. Kukal D. Smith 《Agricultural Water Management》2008,95(9):1099-1110
The DSSAT-CSM-CERES-Wheat V4.0 model was calibrated for yield and irrigation scheduling of wheat with 2004–2005 data and validated with 13 independent data sets from experiments conducted during 2002–2006 at the Punjab Agricultural University (PAU) farm, Ludhiana, and in a farmer's field near PAU at Phillaur, Punjab, India. Subsequently, the validated model was used to estimate long-term mean and variability of potential yield (Yp), drainage, runoff, evapo-transpiration (ET), crop water productivity (CWP), and irrigation water productivity (IWP) of wheat cv. PBW343 using 36 years (1970–1971 to 2005–2006) of historical weather data from Ludhiana. Seven sowing dates in fortnightly intervals, ranging from early October to early January, and three irrigation scheduling methods [soil water deficit (SWD)-based, growth stage-based, and ET-based] were evaluated. For the SWD-based scheduling, irrigation management depth was set to 75 cm with irrigation scheduled when SWD reached 50% to replace 100% of the deficit. For growth stage-based scheduling, irrigation was applied either only once at one of the key growth stages [crown root initiation (CRI), booting, flowering, and grain filling], twice (two stages in various combinations), thrice (three stages in various combinations), or four times (all four stages). For ET-driven irrigation, irrigations were scheduled based on cumulative net ETo (ETo-rain) since the previous irrigation, for a range of net ETo (25, 75, 125, 150, and 175 mm). Five main irrigation schedules (SWD-based, ET-driven with irrigation applied after accumulation of either 75 or 125 mm of ETo, i.e., ET75 or ET125, and growth stage-based with irrigation applied at CRI plus booting, or at CRI plus booting plus flowering stage) were chosen for detailed analysis of yield, water balance, and CWP and IWP. Nitrogen was non-limiting in all the simulations.Mean Yp across 36 years ranged from 5.2 t ha−1 (10 October sowing) to 6.4 t ha−1 (10 November sowing), with yield variations due to seasonal weather greater than variations across sowing dates. Yields under different irrigation scheduling, CWP and IWP were highest for 10 November sowing. Yields and CWP were higher for SWD and ET75-based irrigations on both soils, but IWP was higher for ET75-based irrigation on sandy loam and for ET150-based irrigation on loam. Simulation results suggest that yields, CWP, and IWP of PBW343 would be highest for sowing between late October and mid-November in the Indian Punjab. It is recommended that sowing be done within this planting period and that irrigation be applied based on the atmospheric demand and soil water status and not on the growth stage. Despite the potential limitations recognised with simulation results, we can conclude that DSSAT-CSM-CERES-Wheat V4.0 is a useful decision support system to help farmers to optimally schedule and manage irrigation in wheat grown in coarse-textured soils under declining groundwater table situations of the Indian Punjab. Further, the validated model and the simulation results can also be extrapolated to other areas with similar climatic and soil environments in Asia where crop, soil, weather, and management data are available. 相似文献
473.
以金黄色葡萄球菌为工作菌, 用杯碟法测定氧氟沙星(OFL)在畜禽粪便中的残留。结果表明:鸡粪便中氧氟沙星的最低检测限为0.156μg/g,标准曲线的工作范围为0.156~5.00μg/g,工作曲线的日内变异系数在2.4%~3.3%、日间变异系数为3.7%~5.2%,回收率分别为79.49%~87.92%。因此,建立的方法可以满足鸡粪尿混合物中氧氟沙星的残留检测要求。 相似文献
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Simulation and Validation of Rice Potential Growth Process in Zhejiang Province of China by Utilizing WOFOST Model 总被引:1,自引:0,他引:1
XIE Wen-xia YAN Li-jiao WANG Guang-huo 《水稻科学》2006,13(2):125-130
Since the pioneering work in the 1960s, substantial progress has been made in crop growth simulation both in developing and applying models. Crop growth simulation integrates the knowledge of computer science, phytophysiology, agroecology, agrometeorology, soil science, agronomy and systems, combines the plant and environmental factors, and describes quantitatively the dynamic relation between crop growth, development, yield formation and environmental techniques [1]. WOFOST (World Food Stu… 相似文献
476.
In order to facilitate inverse modeling of time-series data and/or parameter estimation for process-based models of soil organic carbon (SOC) dynamics, we developed and applied a new surrogate CENTURY SOC model (SCSOC). While SCSOC has mass balance and decomposition kinetics equations for residue and soil organic matter (SOM) pools identical to those of CENTURY, it differs by being: (1) decoupled from models of plant growth, nutrient cycling, and hydrologic processes; (2) capable of employing daily, monthly, or annual timesteps; (3) solvable using widely available non-linear regression software. Here, we describe SCSOC and demonstrate that its numerical solution to the CENTURY SOC equations is highly accurate for both daily and monthly timesteps, provided the monthly physical forcing function inputs are appropriately derived from daily-resolution hydrologic model results.As an example of the proper application of the tool to obtain site-specific parameters and to investigate hypotheses using historical data, we analyzed SOC data from a single subplot of the Morrow Plots (Urbana, Illinois, U.S.A.) that has been cropped continuously in corn since 1876 using management practices that were common for east-central Illinois. The impact of different approaches typically used during calibration were examined by objectively estimating a variety of parameter sets that both govern SOM decomposition kinetics and define the initial mass and fractionation of the SOM. The results suggest that mean SOM turnover times were circa 5-fold longer during the period 1876-1954 relative to 1955-1995, when modern management practices were employed, and significantly different from default CENTURY predictions during both.Modified versions of SCSOC were also constructed in order to (1) show that uncertainty about historical soil erosion does not confound this interpretation of the data and (2) explore alternative assumptions about the structure of the model. One such alternate model showed that unexpectedly rapid decomposition of the corn-derived SOM combined with depletion of slowly-decomposing prairie-derived SOM could explain the post-1955 acceleration in decomposition. 相似文献
477.
用多辐射校正水平遥感数据提取植被叶面积指数的精度分析 总被引:1,自引:1,他引:0
选用南京市SPOT5 HRG图像的地物反射率(PAC)、表观反射率(TOA)、星上辐射率(SR)和灰度值(DN)影像,提取了2种植被指数(VI),即归一化植被指数(NDVI)和比值植被指数(RVI),与地面实测的植被叶面积指数(LAI)进行了相关分析,并建立了157个LAI-VI关系模型。结果显示:LAI与VI呈显著的正相关关系(r=0.303~0.927,p0.01),对应不同植被的优选模型自变量包括了3个辐射校正水平的2种植被指数,可见基于不同辐射校正水平的植被指数在LAI遥感反演中具有一定的应用潜力。这些优选模型为:阔叶林:LAI=-3.345+5.378RVISR+7.329NDVISR(R2=0.818,RMSE=0.527),针阔混交林:LAI=1.696+17.076NDVIDN+137.684(NDVIDN)2-288.240(NDVIDN)3(R2=0.919,RMSE=0.440),灌木:LAI=-0.065+19.112NDVISR-113.820(NDVISR)2+184.207(NDVISR)3(R2=0.900,RMSE=0.448),草地:LAI=-5.905+6.446RVISR+9.477NDVISR(R2=0.944,RMSE=0.378),植被总体:LAI=-1.615+7.199NDVIDN+2.640NDVISR+2.105RVIPAC(R2=0.801,RMSE=0.668)。研究表明,基于不同植被类型、不同辐射校正水平影像的LAI遥感估算有利于充分挖掘遥感影像信息,进而提高LAI估算的精度。 相似文献
478.
With the development of large-scale hydrologic modeling, computational efficiency is becoming more and more important. Rapid modeling and analysis are needed to deal with emergency environmental disasters. The Soil and Water Assessment Tool(SWAT) is a popular hydrologic model, which is less applied in large-scale watershed simulation because of its sequential characteristics. For improving the computational efficiency of the SWAT model, we present a new parallel processing solution for hydrologic cycle and calibration based on MPI(Message Passing Interface). We partitioned sub-basins during the processes based on a load balancing method. Then the calibration was parallelized using a master-slave scheme, in which different input parameters were allocated to different processes to run the hydrologic cycle and compute the function value. Because of the slow convergence and local optimization of the SCE-UA(Shuffled Complex Evolution-developed by University of Arizona) algorithm in SWAT calibration, a genetic algorithm(GA) is developed to optimize the calibration step. Then by dividing the default communicator into several sub-communicators, all the hydrologic cycles were parallelized in their own sub-communicators to achieve further acceleration. In this paper the results show speedups for the hydrologic cycle calculations, as well as in the optimized calibration step. In the case study, we tested the parallel hydrologic cycle by four processes, and got a speedup of 3.06. In the calibration section, after applying the GA optimization, with 10 cores, we got a speed increase of 8.0 in our GA parallel framework compared with the GA sequential calibration, which is much better than the original SWAT calibration. After the sub-communicators added, this process was speeded up even further. The study demonstrated that the GA parallel framework with multi-sub-communicators is an effective and efficient solution for the hydrologists in large scale hydrology simulations. 相似文献
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