Nitrogen Use Efficiency in Cotton: Challenges and Opportunities against Environmental Constraints

Adnan Noor Shah, Talha Javed, Rajesh Kumar Singhal, Rubab Shabbir, Depeng Wang, Sadam Hussain, Hirdayesh Anuragi, Dinesh Jinger, Himanshu Pandey, Nader R. Abdelsalam, Rehab Y. Ghareeb, Mariusz Jaremko

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Nitrogen is a vital nutrient for agricultural, and a defieciency of it causes stagnate cotton growth and yield penalty. Farmers rely heavily on N overapplication to boost cotton output, which can result in decreased lint yield, quality, and N use efficiency (NUE). Therefore, improving NUE in cotton is most crucial for reducing environmental nitrate pollution and increasing farm profitability. Well-defined management practices, such as the type of sources, N-rate, application time, application method, crop growth stages, and genotypes, have a notable impact on NUE. Different N formulations, such as slow and controlled released fertilizers, have been shown to improve N uptake and, NUE. Increasing N rates are said to boost cotton yield, although high rates may potentially impair the yield depending on the soil and environmental conditions. This study comprehensively reviews various factors including agronomic and environmental constraints that influence N uptake, transport, accumulation, and ultimately NUE in cotton. Furthermore, we explore several agronomic and molecular approaches to enhance efficiency for better N uptake and utilization in cotton. Finally, this objective of this review to highlight a comprehensive view on enhancement of NUE in cotton and could be useful for understanding the physiological, biochemical and molecular mechanism of N in cotton.
Original languageEnglish (US)
JournalFrontiers in Plant Science
StatePublished - Aug 22 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: The authors thank Smart Health Initiative and Red Sea Research Center, Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia for financially supporting the current research. The authors also extend their appreciation to Alexandria University for supporting the current research.


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