A data-driven approach to optimizing nitrogen fertilization for cotton growth under saline soil conditions

This study is part of a coordinated research effort investigating cotton responses to nitrogen fertilization across salinity gradients, complementing parallel studies on plant water relations, biomass accumulation, and yield structure. This study presents a large-scale field study investigating the effects of precision nitrogen fertilization on growth parameters of cotton (Gossypium spp.) grown across a soil salinity gradient. This study is consistent with the precision agriculture paradigm, specifically considering nutrient management and site-specific crop management (SSCM) to optimize yield under abiotic stress conditions. The research was conducted on meadow-alluvial soils classified as non-saline, slightly saline, moderately saline, and strongly saline, with biometric observations recorded on four consecutive dates. The study measured cotton main stem height and the number of leaves per plant across control, background fertilization (P175K125), and nitrogen-enriched treatments ranging from N100 to N350 kg/ha. Results indicated that in all salinity levels, nitrogen application significantly increased cotton stem height and leaf number compared to non-fertilized variants. The highest efficacy was observed in the N250P175K125 treatment. Although elevated salinity levels reduced these indicators overall, nitrogen application mitigated the negative effects of salinity and maintained superior plant development. The results confirm that nitrogen fertilization can partially offset the inhibitory effects of salinity stress on cotton, with optimal effects observed at 250–300 kg/ha nitrogen application. This research supports decision-making systems in precision agriculture by using agronomic data for sustainable soil and nutrient management under adverse conditions.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-04-10
DOI
https://doi.org/10.1051/bioconf/202623100017/pdf
Primary Topic
Research in Cotton Cultivation
Type
article
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article

A data-driven approach to optimizing nitrogen fertilization for cotton growth under saline soil conditions

Jamila Sherkulova, Mavluda Kh. Tairova, Idrok Raxmatov, Yulduz Ergasheva et al.
Springer Link (Chiba Institute of Technology)
Research in Cotton Cultivation
article

A data-driven approach to optimizing nitrogen fertilization for cotton growth under saline soil conditions

Jamila Sherkulova, Mavluda Kh. Tairova, Idrok Raxmatov, Yulduz Ergasheva, Ruxsora Atoeva
article en

Abstract

This study is part of a coordinated research effort investigating cotton responses to nitrogen fertilization across salinity gradients, complementing parallel studies on plant water relations, biomass accumulation, and yield structure. This study presents a large-scale field study investigating the effects of precision nitrogen fertilization on growth parameters of cotton (Gossypium spp.) grown across a soil salinity gradient. This study is consistent with the precision agriculture paradigm, specifically considering nutrient management and site-specific crop management (SSCM) to optimize yield under abiotic stress conditions. The research was conducted on meadow-alluvial soils classified as non-saline, slightly saline, moderately saline, and strongly saline, with biometric observations recorded on four consecutive dates. The study measured cotton main stem height and the number of leaves per plant across control, background fertilization (P175K125), and nitrogen-enriched treatments ranging from N100 to N350 kg/ha. Results indicated that in all salinity levels, nitrogen application significantly increased cotton stem height and leaf number compared to non-fertilized variants. The highest efficacy was observed in the N250P175K125 treatment. Although elevated salinity levels reduced these indicators overall, nitrogen application mitigated the negative effects of salinity and maintained superior plant development. The results confirm that nitrogen fertilization can partially offset the inhibitory effects of salinity stress on cotton, with optimal effects observed at 250–300 kg/ha nitrogen application. This research supports decision-making systems in precision agriculture by using agronomic data for sustainable soil and nutrient management under adverse conditions.

Springer Link (Chiba Institute of Technology)
Zero hunger
Openalex Percentile: Top 18%
Research in Cotton Cultivation
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A data-driven approach to optimizing nitrogen fertilization for cotton growth under saline soil conditions — Jamila Sherkulova, Mavluda Kh. Tairova, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS