您好，欢迎访问河北省农林科学院 机构知识库！
河北省农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Accuracy of root modelling and its impact on simulated wheat yield and carbon cycling in soil

文献类型： 外文期刊

作者： Zhao, Zhigan 1 ; Wang, Enli 2 ; Xue, Lihua 1 ; Wu, Yongcheng 1 ; Zang, Hecang 1 ; Qin, Xin 1 ; Zhang, Jingting 1 ; Wang, 1 ;

作者机构： 1.China Agr Univ, Dept Agron & Biotechnol, Beijing 100193, Peoples R China

2.CSIRO Land & Water, CSIRO Sustainable Agr Flagship, Canberra, ACT 2601, Australia

3.Xinjiang Acad Agr Sci, Grain Crops Res Inst, Urumqi 830091, Peoples R China

4.Henan Acad Agri cultural Sci, Agr Econ & Informat Res Ctr, Zhengzhou 450002, Peoples R China

5.Hebei Acad Agr & Forestry Sci, Shijiazhuang 050031, Peoples R China

关键词： Root biomass;Rooting depth;Winter wheat;North China Plain;APSIM

期刊名称：FIELD CROPS RESEARCH （ 影响因子：5.224； 五年影响因子：6.19 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Accurate modelling of root biomass and root distribution of crop plants has become increasingly important in order to address issues related to carbon sequestration in soil and resource use efficiency of crops under different environmental and management conditions. However, the performance of crop models for simulating crop root system has been rarely tested in many environments due to lack of detailed data on roots. In this paper, we present detailed measurement data on root biomass and distribution in 0-200 cm soil profile at key developmental stages of wheat crop at Wuqiao in the North China Plain, and compare them with the root dynamics simulated by the agricultural systems model APSIM. The objectives are to test the model performance for simulating root biomass and distribution, and to investigate the potential impact of errors in root modelling on simulated wheat yield and soil carbon change. Compared to the measurements at the study site, APSIM version 7.5 underestimated the rooting front advance and final rooting depth of winter wheat, but overestimated the root biomass and root-shoot ratio at maturity by 100-200%. Modifications to root growth parameters in the model led to improved simulations of root depth and biomass dynamics. The modifications had little impact on simulated shoot biomass and grain yield under conditions of sufficient nitrogen supply, but led to higher simulated grain yield when nitrogen was deficient. They also resulted in reduction in simulated soil organic carbon in the top (0-20 cm) soil layer by 0.02%. A meta-analysis combining wheat root and shoot data from literature indicated that the APSIM model simulated a much tighter root-shoot relationship than that observed in the data, and that both versions of the model simulated the root-shoot relationships within the measured range. The relationship simulated from the original model better matched the data points from dry climate and dryland conditions. While the modified model based on Wuqiao data simulated a relationship better matching the data points from wet climate and irrigated conditions.

  • 相关文献

[1]Accuracy of root modeling and its potential impact on simulation of grain yield of wheat. Zhao, Zhigan,Xue, Lihua,Wu, Yongcheng,Zhang, Jingting,Wang, Zhimin,Zhao, Zhigan,Wang, Enli,Xue, Lihua,Zhang, Jingting. 2013

[2]Evaluation of a New Nutrient Management Method in Green House Gas Emission Reduction for Winter Wheat in the North China Plain. Sun, Yan-ming,Jia, Liang-liang,Han, Bao-wen,Liu, Meng-chao. 2014

[3]Fate of labeled urea-N-15 as basal and topdressing applications in an irrigated wheat-maize rotation system in North China plain: II summer maize. Yang, Yunma,Wang, Xiaobin,Dai, Kuai,Zhao, Quansheng,Zhang, Xiaoming,Zhang, Dingchen,Feng, Zonghui,Wu, Xueping,Cai, Dianxiong,Yang, Yunma,Wang, Xiaobin,Dai, Kuai,Zhao, Quansheng,Zhang, Xiaoming,Zhang, Dingchen,Feng, Zonghui,Wu, Xueping,Cai, Dianxiong,Yang, Yunma,Jia, Shulong,Meng, Chunxiang,Sun, Yanming,Grant, Cynthia.

[4]Fate of labeled urea-N-15 as basal and topdressing applications in an irrigated wheat-maize rotation system in North China Plain: I winter wheat. Jia, Shulong,Wang, Xiaobin,Dai, Kuai,Zhao, Quansheng,Zhang, Xiaoming,Zhang, Dingchen,Feng, Zonghui,Wu, Xueping,Cai, Dianxiong,Jia, Shulong,Wang, Xiaobin,Dai, Kuai,Zhao, Quansheng,Zhang, Xiaoming,Zhang, Dingchen,Feng, Zonghui,Wu, Xueping,Cai, Dianxiong,Jia, Shulong,Yang, Yunma,Meng, Chunxiang,Sun, Yanming,Grant, Cynthia.

[5]Winter wheat grain yield and its components in the North China Plain: irrigation management, cultivation, and climate. Lv, Lihua,Yao, Yanrong,Zhang, Lihua,Jia, Xiuling,Liang, Shuangbo. 2013

[6]Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain. Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Koppe, Wolfgang,Chen, Xinping,Zhang, Fusuo,Li, Fei,Miao, Yuxin,Miao, Yuxin. 2010

[7]COMPARSION OF MULTISPECTRAL REFLECTANCE WITH DIGITAL COLOR IMAGE IN ASSESSING THE WINTER WHEAT NITROGEN STATUS. Chen, Xinping,Cui, Zhenling,Zhang, Fusuo,Jia, Liangliang,Li, Minzan. 2009

[8]Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain. Bareth, Georg,Lenz-Wiedemann, Victoria I. S.,Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Li, Fei,Lenz-Wiedemann, Victoria I. S.,Chen, Xinping,Gnyp, Martin L.,Li, Fei,Miao, Yuxin,Jia, Liangliang,Koppe, Wolfgang,Hennig, Simon D.,Jia, Liangliang,Chen, Xinping,Zhang, Fusuo,Laudien, Rainer. 2014

[9]Nitrogen Status Estimation of Winter Wheat by Using an IKONOS Satellite Image in the North China Plain. Yu, Zihui,Li, Fei,Miao, Yuxin,Chen, Xinping,Zhang, Fusuo,Jia, Liangliang,Gnyp, Martin,Koppe, Wolfgang,Bareth, Georg. 2012

[10]ESTIMATING WINTER WHEAT BIOMASS AND NITROGEN STATUS USING AN ACTIVE CROP SENSOR. Li, Fei,Miao, Yuxin,Chen, Xinping,Bareth, Georg,Li, Fei,Zhang, Hailin,Jia, Liangliang,Bareth, Georg. 2010

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：河北省农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台