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Evaluation of CropSyst Model for Simulating Green Area Index, Soil Water and Yield of Psyllium in Hyper Arid Partially Irrigated Zone of Rajasthan

机译:牵引雷贾斯坦高干旱部分灌溉区模拟绿色面积指数,土壤水分和饲养区饲养饲料

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摘要

Cropping systems model (CropSyst) was calibrated using the experimental data of crop parameters, soil profile data and observed daily weather data of experimental site for 2012-13 and validated the experimental data of crop growth, yield parameters and soil moisture for 2013-14 for psyllium crop grown at farmer's field in IGNP stage-II of Bikaner. The results of the present study showed that the CropSyst model calibrated seed yield, above ground biomass and soil moisture reasonably well. The simulated seed yield of psyllium (429 kg ha-1) matched well with the observed yield (462 kg ha~(-1)) with relative error of 7.1%. The observed above ground biomass (AGB) at harvest (1085 kg ha~(-1)) also matched with simulated AGB (997 kg ha~(-1)) with relativeerror of 8.1%. During validation of the model during 2013-14, prediction of simulated seed yield (597 kg ha-1' was very good and matched well with the observed seed yield (557 kg ha~(-1)) with relative errors of 7.3%. However, the simulated AGB (1894 kgha~(-1)) of psyllium was over predicted as compared to observed AGB (1395 kg ha~(-1)) with relative errors of 35.8%. The simulated green area index (GAI) was not properly captured by the model. The simulated N-uptake (34.0 kg ha~(-1)) was moderately higher than observed N-uptake (26.0 kg ha~(-1)). Simulated soil moisture was well predicted and excellent matched with observed values in most of the layers. About half of total water applied lost by deep drainage with water productivity of 0.17 kg m"3.
机译:使用作物参数,土壤剖面数据和2012-13实验部位观察日常天气数据的实验数据进行校准裁剪系统模型(污染物),并验证了2013-14的作物生长,产量参数和土壤水分的实验数据种植在农民的领域在比科纳的Ignp Stage-II中种植的洋圆花园。本研究的结果表明,经营模型校准种子产量,优于地面生物质和土壤水分。洋水碱(429kg HA-1)的模拟种子产率与观察到的产率匹配(462kg ha〜(-1)),相对误差为7.1%。在收获的上述地面生物量(AGB)(1085kg ha〜(-1))也与模拟的AGB(997kg Ha〜(-1))相匹配,相对率为8.1%。在2013-14期间验证模型期间,预测模拟种子产量(597kg HA-1'非常好,并且与观察到的种子产率(557kg Ha〜(-1))相匹配,相对误差为7.3%。然而,与观察到的AGB(1395 kg Ha〜(-1))相比,模拟AGB(1894 kGHA〜(-1))被预测到35.8%的相对误差。模拟绿地指数(盖)是模型未妥善捕获。模拟的N-吐痰(34.0kg ha〜(-1))比观察到的n-uptake(26.0kg ha〜(-1))。模拟土壤水分良好预测和优异的匹配在大多数层中观察到的值。大约大约一半的水,通过水生产率为0.17 kg m“3。

著录项

  • 来源
    《Annals of Arid Zone》 |2016年第4期|共10页
  • 作者单位

    ICAR-Central Arid Zone Research Institute Regional Research Station Bikaner 334 004 India;

    ICAR-Central Arid Zone Research Institute Regional Research Station Bikaner 334 004 India;

    ICAR-Central Arid Zone Research Institute Regional Research Station Bikaner 334 004 India;

    College of Agriculture Swami Keshwanand Rajasthan Agricultural University Bikaner 334 006 India;

    ICAR-Central Arid Zone Research Institute Regional Research Station Bikaner 334 004 India;

    ICAR-Central Arid Zone Research Institute Regional Research Station Bikaner 334 004 India;

    College of Agriculture Swami Keshwanand Rajasthan Agricultural University Bikaner 334 006 India;

    Integrated Water and Land Management Program ICARDA Jordan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

    CropSyst model; calibration; validation; psyllium; IGNP stage-II;

    机译:综合体模型;校准;验证;班车阶;IGNP阶段-II;

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