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Study the Spatial-Temporal Variation of Wheat Growth Under Different Site-Specific Nitrogen Fertilization Approaches

  • Bei Cui
  • Wenjiang HuangEmail author
  • Xiaoyu Song
  • Huichun Ye
  • Yingying Dong
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)

Abstract

Many variable fertilization approaches based on ‘real-time’ crop N status were developed for making N fertilizer management in precision agriculture. Unfortunately, to date, only few papers reported the effect of variable fertilization algorithms on the spatial and temporal variability of crop parameters. Based on these problems, this study designed three different variable fertilization algorithms based on vegetation index (Y), SPAD (S) and crop growth model (Z), respectively, with uniform fertilization and no fertilization as controls. Results showed that wheat growth had strong spatial dependence, which become stronger after fertilization. Wheat yield also had strong spatial dependence. There were some similar spatial distribution between NDVIs, soil TN and yield, indicating that spatial variability of yield had strong relationship with crop growth status and soil TN content. The site-specific fertilization treatment based on crop growth model (Z) had the best adjustment capacity to promote crop growth and yield, and reduce their spatial variation, compared with other fertilization treatments.

Keywords

Site-specific N fertilization Winter wheat Spatial-temporal variation 

Notes

Funding Information

This study was supported by National Key R&D Program of China (2016YFD0300601), National Natural Science Foundation of China (41501468, 41601466), the Agricultural Science and Technology Innovation of Sanya (2015KJ04), the Natural Science Foundation of Hainan Province, China (20164179, 2016CXTD015), the Technology Research, Development and Promotion Program of Hainan Province, China (ZDXM2015102), the Hainan Provincial Department of Science and Technology under Grant (ZDKJ2016021).

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Bei Cui
    • 1
    • 2
  • Wenjiang Huang
    • 1
    • 2
    Email author
  • Xiaoyu Song
    • 3
  • Huichun Ye
    • 1
    • 2
  • Yingying Dong
    • 1
    • 2
  1. 1.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republic of China
  2. 2.Key Laboratory of Earth Observation, Hainan ProvinceSanyaPeople’s Republic of China
  3. 3.Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry SciencesBeijingPeople’s Republic of China

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