Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review

Xinyu Li; Syed Tahir Ata-UI-Karim; Yue Li; Fei Yuan; Yuxin Miao; Kato Yoichiro; Tao Cheng; Liang Tang; Xingshuai Tian; Xiaojun Liu; Yongchao Tian; Yan Zhu; Weixing Cao; Qiang Cao

doi:10.1016/j.compag.2022.106998

Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review

Xinyu Li, Syed Tahir Ata-UI-Karim, Yue Li, Fei Yuan, Yuxin Miao, Kato Yoichiro, Tao Cheng, Liang Tang, Xingshuai Tian, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

Soil, Water, and Climate

Research output: Contribution to journal › Review article › peer-review

32 Scopus citations

Abstract

Nitrogen (N) is one of the decisive elements for plant growth, crop biomass accumulation, and yield formation of cereal crops. However, managing N in crop production and comparing N use efficiency are challenging without prior knowledge of in-season crop N status. The development of critical N (N_c) dilution curves based on allometry between plant metabolic and structural compartments allows the estimation of crop N nutrition status by determining the N nutrition index (NNI). The purpose of this article is to review the research progress on the development of N_c curves in three major cereal crops (wheat, maize, and rice). The focus of this review paper is to compare the N_c curves of major cereals developed worldwide and to explain the differences in these N_c curve parameters in light of genotype through the management of environmental interactions. Additionally, this review provides an update on the most relevant methods for non-destructive estimation of the NNI of major cereal crops using various remote sensing technologies for large-scale applications. This review also sheds light on the applicability of N_c curve-based NNI for in-season crop N diagnosis, crop N requirement, crop grain yield, and quality prediction. Moreover, this review outlines future research directions to expand the impact of this approach on crop production.

Original language	English (US)
Article number	106998
Journal	Computers and Electronics in Agriculture
Volume	197
DOIs	https://doi.org/10.1016/j.compag.2022.106998
State	Published - Jun 2022

Bibliographical note

Funding Information:
This research was funded by the National Natural Science Foundation of China (31601222), the National Undergraduate Student Innovation Research and Entrepreneurship Training (SRT) of China (202110307003), the Jiangsu Province Key Technologies Research and Development Program (BE2021308), the Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 Project (B16026), the Japan Society for the Promotion of Science for a Grant-in-Aid for Scientific Research (18KT0087), and the USDA National Institute of Food and Agriculture (State project 1016571). We would like to thank Gilles Lemaire from INRA for helpful revisions of the manuscript.

Publisher Copyright:
© 2022 Elsevier B.V.

Keywords

Cereal crops
Critical N dilution curve
NNI
Remote sensing

Publisher link

10.1016/j.compag.2022.106998

Find It

Find It at U of M Libraries

Cite this

Li, X., Ata-UI-Karim, S. T., Li, Y., Yuan, F., Miao, Y., Yoichiro, K., Cheng, T., Tang, L., Tian, X., Liu, X., Tian, Y., Zhu, Y., Cao, W., & Cao, Q. (2022). Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review. Computers and Electronics in Agriculture, 197, Article 106998. https://doi.org/10.1016/j.compag.2022.106998

Li, X, Ata-UI-Karim, ST, Li, Y, Yuan, F, Miao, Y, Yoichiro, K, Cheng, T, Tang, L, Tian, X, Liu, X, Tian, Y, Zhu, Y, Cao, W & Cao, Q 2022, 'Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review', Computers and Electronics in Agriculture, vol. 197, 106998. https://doi.org/10.1016/j.compag.2022.106998

@article{65050773127a412c9623cc1c48ea8d08,

title = "Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review",

abstract = "Nitrogen (N) is one of the decisive elements for plant growth, crop biomass accumulation, and yield formation of cereal crops. However, managing N in crop production and comparing N use efficiency are challenging without prior knowledge of in-season crop N status. The development of critical N (Nc) dilution curves based on allometry between plant metabolic and structural compartments allows the estimation of crop N nutrition status by determining the N nutrition index (NNI). The purpose of this article is to review the research progress on the development of Nc curves in three major cereal crops (wheat, maize, and rice). The focus of this review paper is to compare the Nc curves of major cereals developed worldwide and to explain the differences in these Nc curve parameters in light of genotype through the management of environmental interactions. Additionally, this review provides an update on the most relevant methods for non-destructive estimation of the NNI of major cereal crops using various remote sensing technologies for large-scale applications. This review also sheds light on the applicability of Nc curve-based NNI for in-season crop N diagnosis, crop N requirement, crop grain yield, and quality prediction. Moreover, this review outlines future research directions to expand the impact of this approach on crop production.",

keywords = "Cereal crops, Critical N dilution curve, NNI, Remote sensing",

author = "Xinyu Li and Ata-UI-Karim, {Syed Tahir} and Yue Li and Fei Yuan and Yuxin Miao and Kato Yoichiro and Tao Cheng and Liang Tang and Xingshuai Tian and Xiaojun Liu and Yongchao Tian and Yan Zhu and Weixing Cao and Qiang Cao",

note = "Funding Information: This research was funded by the National Natural Science Foundation of China (31601222), the National Undergraduate Student Innovation Research and Entrepreneurship Training (SRT) of China (202110307003), the Jiangsu Province Key Technologies Research and Development Program (BE2021308), the Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 Project (B16026), the Japan Society for the Promotion of Science for a Grant-in-Aid for Scientific Research (18KT0087), and the USDA National Institute of Food and Agriculture (State project 1016571). We would like to thank Gilles Lemaire from INRA for helpful revisions of the manuscript. Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = jun,

doi = "10.1016/j.compag.2022.106998",

language = "English (US)",

volume = "197",

journal = "Computers and Electronics in Agriculture",

issn = "0168-1699",

publisher = "Elsevier",

}

TY - JOUR

T1 - Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review

AU - Li, Xinyu

AU - Ata-UI-Karim, Syed Tahir

AU - Li, Yue

AU - Yuan, Fei

AU - Miao, Yuxin

AU - Yoichiro, Kato

AU - Cheng, Tao

AU - Tang, Liang

AU - Tian, Xingshuai

AU - Liu, Xiaojun

AU - Tian, Yongchao

AU - Zhu, Yan

AU - Cao, Weixing

AU - Cao, Qiang

N1 - Funding Information: This research was funded by the National Natural Science Foundation of China (31601222), the National Undergraduate Student Innovation Research and Entrepreneurship Training (SRT) of China (202110307003), the Jiangsu Province Key Technologies Research and Development Program (BE2021308), the Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 Project (B16026), the Japan Society for the Promotion of Science for a Grant-in-Aid for Scientific Research (18KT0087), and the USDA National Institute of Food and Agriculture (State project 1016571). We would like to thank Gilles Lemaire from INRA for helpful revisions of the manuscript. Publisher Copyright: © 2022 Elsevier B.V.

PY - 2022/6

Y1 - 2022/6

N2 - Nitrogen (N) is one of the decisive elements for plant growth, crop biomass accumulation, and yield formation of cereal crops. However, managing N in crop production and comparing N use efficiency are challenging without prior knowledge of in-season crop N status. The development of critical N (Nc) dilution curves based on allometry between plant metabolic and structural compartments allows the estimation of crop N nutrition status by determining the N nutrition index (NNI). The purpose of this article is to review the research progress on the development of Nc curves in three major cereal crops (wheat, maize, and rice). The focus of this review paper is to compare the Nc curves of major cereals developed worldwide and to explain the differences in these Nc curve parameters in light of genotype through the management of environmental interactions. Additionally, this review provides an update on the most relevant methods for non-destructive estimation of the NNI of major cereal crops using various remote sensing technologies for large-scale applications. This review also sheds light on the applicability of Nc curve-based NNI for in-season crop N diagnosis, crop N requirement, crop grain yield, and quality prediction. Moreover, this review outlines future research directions to expand the impact of this approach on crop production.

AB - Nitrogen (N) is one of the decisive elements for plant growth, crop biomass accumulation, and yield formation of cereal crops. However, managing N in crop production and comparing N use efficiency are challenging without prior knowledge of in-season crop N status. The development of critical N (Nc) dilution curves based on allometry between plant metabolic and structural compartments allows the estimation of crop N nutrition status by determining the N nutrition index (NNI). The purpose of this article is to review the research progress on the development of Nc curves in three major cereal crops (wheat, maize, and rice). The focus of this review paper is to compare the Nc curves of major cereals developed worldwide and to explain the differences in these Nc curve parameters in light of genotype through the management of environmental interactions. Additionally, this review provides an update on the most relevant methods for non-destructive estimation of the NNI of major cereal crops using various remote sensing technologies for large-scale applications. This review also sheds light on the applicability of Nc curve-based NNI for in-season crop N diagnosis, crop N requirement, crop grain yield, and quality prediction. Moreover, this review outlines future research directions to expand the impact of this approach on crop production.

KW - Cereal crops

KW - Critical N dilution curve

KW - NNI

KW - Remote sensing

UR - http://www.scopus.com/inward/record.url?scp=85129062409&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85129062409&partnerID=8YFLogxK

U2 - 10.1016/j.compag.2022.106998

DO - 10.1016/j.compag.2022.106998

M3 - Review article

AN - SCOPUS:85129062409

SN - 0168-1699

VL - 197

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

M1 - 106998

ER -

Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this