Mathematical forecast of the effect of mineral fertilizers on cotton productivity on the gray soils of different salinity in conditions of Turkestan region
https://doi.org/10.51886/1999-740X_2025_2_35
Abstract
Soil salinization remains a critical constraint for cotton cultivation in the southern regions of Kazakhstan, particularly in the Turkestan region. This study aimed to develop a model quantifying the combined influence of soil salinity levels and mineral fertilizer doses on cotton yield and fiber quality. Field trials were conducted on light gray soils with varying degrees of salinity on the production fields of the "Sabyr" farm, Maktaaral district. Standard agrochemical methods assessed soil properties, crop yield, and fiber quality. Results demonstrated that mineral fertilizers enhanced cotton productivity across all salinity levels, with the most significant yield response observed on slightly saline soils. The highest yield (6.49 t/ha) was recorded with N150P100K80 on slightly saline soils, while medium saline soils produced 5.41 t/ha under the same treatment. Phosphorus-potassium application without nitrogen (P100K80) resulted in the lowest yield gains. Regression modeling revealed a negative relationship between excessive nitrogen and potassium application and yield (Y), although their combined interaction partially offset this effect. Notably, the interaction between nitrogen and salt content (NtS) also negatively affected yield. The regression model demonstrated high reliability (R = 0.940), confirming its predictive accuracy. Correlation analysis indicated a moderate to strong relationship between potassium nutrition and key fiber quality indicators. Increasing potassium doses improved tensile strength (r = 0.61), maturity factor (r = 0.48), and fiber length (r = 0.62), while negatively affecting micronaire (r = -0.38), fiber fineness (r = -0.60), and water column resistance (r = -0.60). Fiber quality also correlated positively with total salt content in the arable layer (r = 0.37–0.61). Economic analysis showed that N150P100K80 was most profitable on slightly saline soils (1352.5 thousand KZT/ha), whereas N100P150K80 was optimal on medium saline soils (1035.8 thousand KZT/ha). These findings underline the importance of site-specific nutrient management under saline conditions.
About the Authors
B. M. AmirovKazakhstan
Amirov Bakhytbek Mustafauly – head of the Agrochemistry department, Candidate of Agricultural Sciences, Associate Professor
050060, Almaty, al-Farabi ave., 75 B
O. S. Kurmanakyn
Kazakhstan
Kurmanakyn Olzhas Serikuly – analytical-engineer, Department of the Agrochemistry
050060, Almaty, al-Farabi ave., 75 B
C. O. Bazarbaev
Kazakhstan
Bazarbayev Sultan Orazbayevich – junior Researcher, Department of the Agrochemistry, PhD
050060, Almaty, al-Farabi ave., 75 B
O. S. Zhandybaev
Kazakhstan
Zhandybayev Orken – junior Researcher, of the Agrochemistry, PhD Doctoral student
050060, Almaty, al-Farabi ave., 75 B
A. T. Seitmenbetova
Kazakhstan
Seitmenbetova Aksaule Tynysbekovna – leading Researcher of the Agrochemistry department, Candidate of Biological Sciences
050060, Almaty, al-Farabi ave., 75 B
K. T. Tulepbergenova
Kazakhstan
Tulepbergenova Gulzeinet Togatayevna – senior Analytical-engineer of the Agrochemistry department
050060, Almaty, al-Farabi ave., 75 B
References
1. Reiter M. S., Reeves D. W., Burmester C. H. Cotton Nitrogen Management in a High‐ Residue Conservation System: Source, Rate, Method, and Timing// Soil Science Society of America Journal. – 2008. – Vol. 72. – №. 5. – P. 1330-1336.
2. Boquet D. J., Tuban a B., Mascagni H., Holman M., Hague S. Cotton yield responses to fertilizer nitrogen rates in a cotton corn rotation// Agronomy Journal. – 2009. – Vol. 101. – № 2. – P. 400-407.
3. Ansari M. S., Mahey R. K. Growth and yield of cotton species as affected by sowing dates and nitrogen levels// Journal of Research, Punjab Agricultural University. – 2003. – Vol. 40. – № 1. – P. 8-11.
4. Nachimuthu G., Schwenke G., Baird J., McPherson A., Mercer C., Sargent B.., Hundt A., Macdonald B. Cotton yield response to fertilizer phosphorus under a range of nitrogen management tactics// Crop and Environment. – 2022. – Vol. 1. – № 3. – P. 214-219.
5. Pettigrew W. T., Meredith Jr W. R., Young L. D. Potassium fertilization effects on cotton lint yield, yield components, and reniform nematode populations// Agronomy Journal. – 2005. – Vol. 97. – № 4. – P. 1245-1251.
6. Sharma S. K., Sundar Singh S. S. Yield, yield attributes and quality of cotton as influenced by foliar application of potassium// Journal of Cotton Research and Development. - 2007. - Vol. 21. - № 1. - Р. 51-54 .
7. Hamed F. S. Effect of some cultural practices on growth, flowering, earliness characters and yield of cotton plant variety Giza 90 (Gossypium barbadense L.)// Egyptian Journal of Agricultural Research. – 2012. – Vol. 90. – № 4. – P. 1649-1675.
8. Sun M. Dong H., Han H., Feng W., Shao J., Huo F., Li P., Zheng C. Screening cotton cultivars for low-phosphorus tolerance: a comparison of hydroponic and field methods// Journal of Cotton Research. – 2025. – Vol. 8. – № 1. – P. 10.
9. Kebede M., Balcha M. Cottonseed Production Technology// Cotton Sector Development in Ethiopia: Challenges and Opportunities. – Singapore: Springer Nature Singapore, 2024. – P. 351-377.
10. Mylsamy P., Tamilmani E., Venugopal R., Murugaiyan S., Ranganathan U. Cotton seed management: traditional and emerging treatment approaches for enhanced productivity// Journal of Cotton Research. – 2025. – Vol. 8. – № 1. – P. 7.
11. Maina E. W. Effect of Different Macro-nutrient Combinations on Growth, Yield and Fibre Quality of Cotton (Gossypium Hirsutum L.) in Machakos County, Kenya: dis. – University of Nairobi, 2023. - 81 p.
12. Bumguardner A. R. Soil potassium effects on cotton lint yield and fiber quality on the Texas high plains//Journal of Cotton Science. – 2023. Vol. 27. - P. 12–27 .
13. Thimmegowda M. N., Manjunatha M., Lingaraj H., Soumya D.V., Jayaramaiah R., Sathisha G., Nagesha L. Comparative analysis of machine learning and statistical models for cotton yield prediction in major growing districts of Karnataka, India// Journal of Cotton Research. – 2025. – Vol. 8. – № 1. – P. 6.
14. Tagayev A. M. Priyemy uluchsheniya fizicheskogo sostoyaniya pochv// Endless light in science. – 2024. – Vol. 11. – P. 32-35.
15. Dospekhov B. A. Metodika polevogo opyta. – 1985.
16. Arinushkina Ye. V. Rukovodstvo po khimicheskomu analizu pochv: uchebnoye posobiye. – MGU, 1970, - 487 s.
17. Peregudov V.N., Ivanova T.I. Effektivnost' blochnogo metoda pri utochnenii dannykh polevykh mnogofaktornykh opytov s udobreniyami. Soobshcheniye 2// Agrokhimiya. - 1980. - №2. - P. 135-140.
Review
For citations:
Amirov B.M., Kurmanakyn O.S., Bazarbaev C.O., Zhandybaev O.S., Seitmenbetova A.T., Tulepbergenova K.T. Mathematical forecast of the effect of mineral fertilizers on cotton productivity on the gray soils of different salinity in conditions of Turkestan region. Soil Science and Agrichemistry. 2025;(2):35-45. (In Russ.) https://doi.org/10.51886/1999-740X_2025_2_35