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Progress and development on biological information of crop phenotype research applied to real-time variable-rate fertilization.

Authors :
Shi, Yinyan
Zhu, Yang
Wang, Xiaochan
Sun, Xin
Ding, Yangfen
Cao, Wexing
Hu, Zhichao
Source :
Plant Methods; 2/3/2020, Vol. 16 Issue 1, p1-15, 15p
Publication Year :
2020

Abstract

Background: Variable-rate fertilization is crucial in the implementation of precision agriculture and for ensuring reasonable and efficient fertilizer application and nutrient management that is tailored to local conditions. The overall goal of these technologies is to maximize grain output and minimize fertilizer input and, thus, achieve the optimal input–output production ratio. As the main form of variable-rate fertilization, real-time variable-rate control technology adjusts fertilizer application according to the growth status and nutrient information of crops and, as such, its effective application relies on the stable and accurate acquisition of crop phenotypic information. Results: Due to the relationship between crop phenotype and real-time fertilizer demand, phenotypic information has been increasingly applied in these contexts in recent years. Here, the establishment and characteristics of inversion models between crop phenotypic information and nutritional status are reviewed. The principles of real-time monitoring applications, the key technologies relating to crop phenotypic biological parameters, and the existing challenges for real-time variable-rate fertilization technology are also evaluated. Future research directions are then discussed in the specific context of the need for sustainable development of modern agriculture in China. Conclusion: This paper provides a theoretical reference for the construction of scientific management technology systems aimed at reducing fertilizer application and maximizing output, and for the development of relevant technologies in the specific context of China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17464811
Volume :
16
Issue :
1
Database :
Complementary Index
Journal :
Plant Methods
Publication Type :
Academic Journal
Accession number :
141530366
Full Text :
https://doi.org/10.1186/s13007-020-0559-9