Performance evaluation of CERES-Wheat model in Guanzhong Plain of Northwest China
Performance evaluation of CERES-Wheat model in Guanzhong Plain of Northwest China
复制标题
CERES-小麦模型在西北关中平原的性能评价
DOI：
10.1016/j.agwat.2014.04.016
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发表时间：
2014-10
影响因子：
6.7
通讯作者：
Wang Hongjie
中科院分区：
文献类型：
--
作者：
Ji Jianmei;Cai Huanjie;He Jianqiang;Wang Hongjie
冬小麦(Triticum hard um Desf.)是中国西北部关中平原最重要的粮食作物之一。由于该地区降水不足，土壤贫瘠，灌溉和化肥对该地区的小麦生长至关重要。然而，在大多数情况下，由于不合理的灌溉和化肥使用，无法获得最佳产量。需要一个决策支持工具，以帮助当地农民评估灌溉和化肥的使用及其对产量的影响。在本研究中，采用CERES(通过资源与环境综合的作物估测)-小麦模型，这是一个基于过程的模型，用于预测该地区通过小区试验校准的冬小麦产量。在2009-2010年、2010-2011年和2011-2012年三个生长年度，杨凌在小块试验田上进行了水分和氮素限制条件的试验。结果表明，地上部生物量、籽粒产量、叶面积指数(LAI)、冠层N、累计蒸散量(ET)、水分利用效率(WUE)和氮肥部分生产力(NPFP)与实测值的偏差是可以接受的，归一化均方根误差(NRMSE)小于21%。叶面积指数随着施氮量的增加而上升，灌水和氮肥对叶面积指数的影响存在协同效应。虽然2010-2011年和2011-2012年施氮量不同，但蒸散量和成熟期冠层氮素随灌水量的增加而增加。ET和冠层N对氮肥的响应表现出相似的趋势。此外，在低灌水条件下，不同施氮量对蒸腾速率的影响也不同。水分利用效率和净现值受施氮量的影响较大，灌溉对其影响不显著。模型敏感性分析表明，除与日期相关的因素外，其他因素中，粮食产量对田间持水量非常敏感，与与日期相关的因素相比，播种日期对粮食产量的影响更为显着。因此，该模型可用于该地区冬小麦产量的灌溉和施氮以及其他影响因素的评估和优化。
Winter wheat (Triticum durum Desf.) is one of the most important food crops in Guanzhong Plain of Northwest China. Irrigation and fertilizer are essential for wheat growth in the region because of inadequate precipitation and unfertile soil in the region. However, in most cases optimal yields are not gained due to unreasonable irrigation and fertilizer applications. A decision-supporting tool is required to facilitate local farmers to evaluate irrigation and fertilizer uses and their impact on yield. In this study, CERES (Crop Estimation through Resource and Environment Synthesis)-Wheat model, a process-based model, was adapted for predicting yield of winter wheat calibrated using plot experiments in the region. Water and nitrogen (N) limitation conditions were included in the experiments conducted in Yangling on small test plots during the growing years of 2009–2010, 2010–2011 and 2011–2012. Results showed that the simulated aboveground biomass, grain yield, leaf area index (LAI), canopy N, cumulative evapotranspiration (ET), water use efficiency (WUE) and nitrogen partial fertilizer productivity (NPFP) deviations from the measured were acceptable with normalized root mean square error (NRMSE) below 21%. LAI rose as N application increased and the synergistic impact of irrigation and N was exerted on LAI. ET and canopy N at maturity increased with irrigation although N application was different for 2010–2011 and 2011–2012. The response of both ET and canopy N to fertilizer N showed the similar trend. Besides, the impact of irrigation on ET was affected by different N applications under low irrigation conditions. WUE and NPFP were exerted a great influence on by N fertilizer and the impact of irrigation on them was not significant. Model sensitivity analysis indicated that the grain yield was very sensitive to field capacity among the factors except for the date-related factors and planting date had a significant influence on grain yield by comparison with the factors related to the date. Therefore, the model can be used for the region to assess and optimize winter wheat yield with respect to irrigation and N applications as well as other influential factors.
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DOI：
10.1007/978-94-017-3624-4_8
发表时间：
1998
期刊：
--
影响因子：
--
作者：
James W. Jones;G. Tsuji;G. Hoogenboom;L. Hunt;P. Thornton;P. Wilkens;D. T. Imamura;W. Bowen
通讯作者：
James W. Jones;G. Tsuji;G. Hoogenboom;L. Hunt;P. Thornton;P. Wilkens;D. T. Imamura;W. Bowen
影响因子：
5.2
作者：
B. Gabrielle;B. Mary;R. Roche;Pete Smith;G. Gosse
通讯作者：
B. Gabrielle;B. Mary;R. Roche;Pete Smith;G. Gosse
影响因子：
2.9
作者：
M. Shirazi;L. Boersma
通讯作者：
M. Shirazi;L. Boersma
影响因子：
6.4
作者：
J. Mertens;H. Madsen;L. Feyen;D. Jacques;J. Feyen
通讯作者：
J. Mertens;H. Madsen;L. Feyen;D. Jacques;J. Feyen
DOI：
10.1016/j.agwat.2005.07.020
发表时间：
2006-04
期刊：
--
影响因子：
--
作者：
Yh Yang
通讯作者：
Yh Yang