多目标协同栽培（MOICC）：可持续棉花生产的协同框架

doi:10.1016/j.jia.2025.12.024

Journal of Integrative Agriculture ›› 2026, Vol. 25 ›› Issue (4): 1316-1329.DOI: 10.1016/j.jia.2025.12.024

多目标协同栽培（MOICC）：可持续棉花生产的协同框架

收稿日期:2025-07-09 修回日期:2025-12-15 接受日期:2025-11-10 出版日期:2026-04-20 发布日期:2026-03-09

Multi-objective integrated cotton cultivation (MOICC): A synergistic framework for sustainable production

Yanjun Zhang¹, Jianlong Dai¹, Hezhong Dong^1,²^#

¹ State Key Laboratory of Nutrient Use and Management/Institute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan 250100, China
²College of Agronomy, Tarim University, Alar 832003, China

Received:2025-07-09 Revised:2025-12-15 Accepted:2025-11-10 Online:2026-04-20 Published:2026-03-09
About author:Yanjun Zhang, Tel: +86-531-66658187, E-mail: zhangyanjunche@163.com; #Correspondence Hezhong Dong, Tel: +86-531-66659255, E-mail: donghezhong@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (32372229), the China Agricultural Research System (CARS-15-15), the National Key Research and Development Program of China (2024YFD23006), the Modern Agro-industry Technology Research System of Shandong Province, China (SDAIT-03-01), and the Natural Science Foundation of Shandong Province, China (ZR2024MC222).

摘要/Abstract

摘要： 全球棉花生产体系正面临日益严峻的挑战，亟需在不断增长的纤维需求与紧迫的可持续发展目标——如缓解水资源短缺、减少温室气体排放及控制农业化学污染——之间实现平衡。传统栽培模式受限于目标单一化及产量、纤维品质、劳动效率与生态影响之间的固有权衡，难以应对这些系统性挑战。基于前期提出的协同栽培概念，本文首次系统性地提出并阐述了“棉花多目标协同栽培”（MOICC，亦称为“协同栽培”）。这一变革性模式以三大支柱为核心：动态权衡管理（如基于区域特点的目标优先级动态调整）、系统技术融合（融合精量播种、合理密植、化学调控、水肥协同及高效脱叶等技术）以及资源循环利用（通过时空优化与废弃物回收实现）。MOICC通过调控关键生理机制以突破可持续性瓶颈，主要包括：乙烯信号增强的逆境成苗机制；茉莉酸介导的水分与养分协同增效途径；冠层光竞争与激素调控耦合实现的免整枝管理；以及生长调节剂驱动的集中成熟机制。基于中国新疆、长江与黄河流域多样化农业生态系统及间作体系的案例研究表明，MOICC能够实现显著的协同增益：产量提升8%-22%；资源利用效率显著改善（水分利用率提升20%以上，氮肥偏生产力可达35 kg kg⁻¹）；环境表现全面提升（劳动力投入减少30–40%，碳足迹降低24–37%，化肥与农药用量分别减少15–20%与25%）。尤为关键的是，MOICC通过系统集成化优化有效化解了核心矛盾：产量与品质的冲突（依托≥70%的内围铃实现平衡）、省工与生态安全的矛盾（依靠精准脱叶时机实现二者兼顾），以及生产力与排放的权衡（通过根区氮素监测进行调控）。未来研究重点应包括：解析多尺度胁迫适应机制、开发智能决策支持系统、推进全产业链碳中和路径、破解社会经济采纳壁垒以及构建协同政策框架。MOICC为全球棉花生产提供了一条可扩展的路径，旨在协同实现高产、优质、资源高效与生态可持续的目标，不仅为产业可持续转型提供了系统性框架，也展现出向其他主要作物体系推广的潜力。

Abstract:

Global cotton production faces mounting pressure to reconcile rising fiber demand with urgent sustainability imperatives, including water scarcity mitigation, greenhouse gas reduction, and agrochemical pollution control. Traditional practices, constrained by fragmented objectives and inherent trade-offs among yield, fiber quality, labor efficiency, and ecological impact, struggle to address these systemic challenges. Building upon previous concept of collaborative cultivation, this review for the first time introduces and comprehensively elaborates multi-objective integrated cotton cultivation (MOICC) - also referred to as integrated cotton cultivation (ICC) - a transformative framework centered on three pillars: dynamic trade-off management (e.g., region-specific priority adjustment), systematic technology integration (precision seeding, dense planting, chemical regulation, water-nutrient synergy, and targeted defoliation), and resource circularity (spatiotemporal optimization and waste recycling). MOICC overcomes sustainability bottlenecks by leveraging key physiological mechanisms, including ethylene signaling to enhance stress-resilient seedling establishment, jasmonate-mediated pathways to improve water/nutrient efficiency, canopy light competition coupled with hormonal regulation to eliminate manual pruning, and growth regulators to concentrate boll maturation. Case studies from diverse Chinese agro-ecosystems (e.g., Xinjiang, Yangtze/Yellow River basins) and intercropping systems demonstrate significant synergies: increased yield (8–22%), improved resource efficiency (water use efficiency increased by ≥20%, and nitrogen productivity up to 35 kg kg–1), and enhanced environmental performance (labor reduction of 30–40%, carbon footprint reduction of 24–37%, and agrochemical savings: nitrogen reduction of 15–20% and pesticides reduction of 25%). Crucially, MOICC resolves core conflicts through integrated optimization: yield vs. quality (via ≥70% inner-position bolls), labor-saving vs. eco-safety (precision defoliant timing), and productivity vs. emissions (root-zone nitrogen monitoring). Future research priorities include deciphering multi-scale stress adaptation, developing intelligent decision-support systems (e.g., AHP-NSGA-II integration), advancing carbon-neutral value chains, addressing socio-economic adoption barriers, and fostering policy synergy. Overall, MOICC establishes a conceptually globally scalable pathway toward high-yield, superior-quality, resource-efficient, and ecologically sustainable cotton production, with potential applicability to other major cropping systems.

Key words: cotton (Gossypium hirsutum L.) , multi-objective integrated cultivation , sustainable agriculture , resource-use efficiency , technology synergy

Yanjun Zhang, Jianlong Dai, Hezhong Dong. 多目标协同栽培（MOICC）：可持续棉花生产的协同框架[J]. Journal of Integrative Agriculture, 2026, 25(4): 1316-1329.

Yanjun Zhang, Jianlong Dai, Hezhong Dong. Multi-objective integrated cotton cultivation (MOICC): A synergistic framework for sustainable production[J]. Journal of Integrative Agriculture, 2026, 25(4): 1316-1329.

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多目标协同栽培（MOICC）：可持续棉花生产的协同框架

Multi-objective integrated cotton cultivation (MOICC): A synergistic framework for sustainable production

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