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Optimizing potassium management for enhanced cotton yields in China's diverse agro-ecological regions

文献类型: 外文期刊

作者: Liang, Hongbang 1 ; Yin, Feihu 5 ; Zhang, Jinzhu 1 ; Zhang, Jihong 1 ; Zhao, Yue 1 ; Zhao, Tao 1 ; Li, Deyi 1 ; Wang, Zhenhua 1 ;

作者机构: 1.Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi 832000, Xinjiang, Peoples R China

2.Shihezi Univ, Key Lab Modern Water, Saving Irrigat Xinjiang Prod & Construct Grp, Shihezi 832000, Xinjiang, Peoples R China

3.Minist Agr & Rural Affairs, Key Lab Northwest Oasis Water Saving Agr, Shihezi 832000, Xinjiang, Peoples R China

4.Technol Innovat Ctr Agr Water & Fertilizer Efficie, Shihezi 832000, Xinjiang, Peoples R China

5.Xinjiang Acad Agr & Reclamat Sci, Shihezi 832000, Peoples R China

关键词: Meta-analysis; Generalized additive model; Soil properties; Cotton yield; K fertilizer

期刊名称:FIELD CROPS RESEARCH ( 影响因子:6.4; 五年影响因子:6.6 )

ISSN: 0378-4290

年卷期: 2025 年 323 卷

页码:

收录情况: SCI

摘要: Context: Potassium (K) plays a crucial role in the growth and yield of cotton. As the world's leading cottonproducing country, China faces challenges such as soil K depletion and rising costs of K fertilizers. Current research primarily focuses on K application at specific locations, which limits its applicability to broader agroecological regions. Therefore, there is an urgent need to conduct K fertilizer management research on a regional scale. Objective: This study aims to employ a novel approach by integrating meta-analysis with K-yield relationship models to assess the effects of K fertilization in China's major cotton-growing areas from 1980 to 2024, and to combine this with an economic benefit model to determine the ideal K application rates (KR) for different ecological cotton-growing regions in China. Methods: The study utilizes generalized additive models (GAM) to model seed cotton yield and economic benefits as functions of KR. Data from various studies were compiled to analyze the relationship between K application and cotton yield across different regions. Results: The findings indicate that K fertilization enhances cotton yields by an average of 11.05 % in the Northwest Arid Zone (NW), 19.43 % in the Yellow River Basin (YR), and 20.36 % in the Yangtze River Basin (YT). K application significantly influences cotton yield, particularly in areas with mean annual temperatures (MAT) of 15-25 degrees C, mean annual precipitation (MAP) of 600-1000 mm, low soil available K (SAK), high pH, and soil organic matter (SOM) content above 20 g/kg, especially in coarse soils. Recommendations: For different cotton regions in China, ideal KR recommendations are 85.7-93.0 kg K2O/ha for the NW, 117.5-121.5 kg K2O/ha for the YR, and 163.1-172.1 kg K2O/ha for the Yangtze River Basin. The corresponding planting densities are > 6 plants/m(2) for the NW, 0-4 plants/m(2) for the YR, and 4-6 plants/m(2) for the Yangtze River Basin. Significance This study offers important insights for creating effective K management strategies in China's various cotton regions, highlighting the importance of adjusting fertilization and planting density based on local soil and climate conditions to improve productivity and promote sustainable agriculture.

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