Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Plant Nutrition

This article is part of the Research TopicHarnessing Plant–Microbe Interactions to Improve Nitrogen Use Efficiency and Plant-Soil Health for Sustainable AgricultureView all 23 articles

Optimization of water and fertilizer regime for greenhouse radish using BBD response surface method coupled with NSGA-II algorithm

Provisionally accepted
Pengrui  AiPengrui Ai1Yinjie  MaYinjie Ma1*Yurong  WeiYurong Wei2
  • 1Xinjiang Agricultural University, Urumqi, China
  • 2Engineering Research Centre of Cotton, Ministry of Education / College of Agriculture,, Xinjiang Agricultural University,, Urumqi, China

The final, formatted version of the article will be published soon.

Experiments were conducted in summer and winter based on the Box - Behnken design. The interaction effects of water and fertilizers were analyzed through the response surface model, and the multi - objective collaborative optimization of yield, soluble sugar, and vitamin C was achieved by combining with the NSGA - II algorithm. There were significant seasonal differences. In summer, the available potassium concentration in the 10 - cm soil layer (206.98 mg/kg) under the W2K1N2 treatment was 83.4% higher than that in the deeper layer, and the surface accumulation rate of ammonium nitrogen reached 33.0% in winter. Under the coordinated regulation of water, potassium, and nitrogen, the above - ground dry matter mass under the W2K1N2 treatment in summer increased by 32.0% compared with the control, while the stem diameter in winter decreased by 8.6% due to low - temperature inhibition. The main effect of potassium fertilizer was significant in summer , and nitrogen was the yield - limiting factor in winter, which confirmed the rule of "potassium promotes quality, nitrogen promotes yield". Season - specific water and fertilizer schemes were optimized based on the BBD - NSGA - II algorithm. In summer (W: 19.96 mm, K: 123.17 kg/hm², N: 198 kg/hm²), the simulated yield reached 151.55 t/hm², an increase of 93.1% compared with the control, and the soluble sugar increased by 18.9%. In winter (W: 28.03 mm, K: 182.51 kg/hm², N: 296.91 kg/hm²), the yield was 153.21 t/hm², an increase of 65.5% compared with the control, and the soluble sugar and vitamin C increased by 69.4% and 314.4% respectively. This optimization scheme provides a scientific basis for the efficient production of greenhouse white radishes, which can significantly improve the physiological indicators, yield, and quality of crops, and optimize the resource utilization efficiency. The cross - season water and fertilizer optimization scheme based on BBD - NSGA - II can achieve the coordinated improvement of yield and quality of greenhouse white radishes and the efficient use of resources, providing a theoretical basis and an intelligent decision - making paradigm for the precise regulation of greenhouse vegetables in cold regions.

Keywords: Greenhouse white radish, Water and fertilizer coupling, Response surface method, NSGA-II algorithm, vitamin C, Soluble sugar

Received: 21 Jun 2025; Accepted: 31 Oct 2025.

Copyright: © 2025 Ai, Ma and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yinjie Ma, xj-myi@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.