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Wang S, Wang C, Xie L, Li Y, Siddique KH, Qi X, Luo H, Yang G, Hou Z, Wang X, Liang J, Xie X, Liu DL, Zhang F. Optimizing biochar application for enhanced cotton and sugar beet production in Xinjiang: a comprehensive study. J Sci Food Agric 2024. [PMID: 38523343 DOI: 10.1002/jsfa.13487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Optimizing biochar application is vital for enhancing crop production and ensuring sustainable agricultural production. A 3-year field experiment was established to explore the effects of varying the biochar application rate (BAR) on crop growth, quality, productivity and yields. BAR was set at 0, 10, 50 and 100 t ha-1 in 2018; 0, 10, 25, 50 and 100 t ha-1 in 2019; and 0, 10, 25 and 30 t ha-1 in 2020. Crop quality and growth status and production were evaluated using the dynamic technique for order preference by similarity to ideal solution with the entropy weighted method (DTOPSIS-EW), principal component analysis (PCA), membership function analysis (MFA), gray relation analysis (GRA) and the fuzzy Borda combination evaluation method. RESULTS Low-dose BAR (≤ 25 t ha-1 for cotton; ≤ 50 t ha-1 for sugar beet) effectively increased biomass, plant height, leaf area index (LAI), water and fertility (N, P and K) productivities, and yield. Biochar application increased the salt absorption and sugar content in sugar beet, with the most notable increases being 116.45% and 20.35%, respectively. Conversely, BAR had no significant effect on cotton fiber quality. The GRA method was the most appropriate for assessing crop growth and quality. The most indicative parameters for reflecting cotton and sugarbeet growth and quality status were biomass and LAI. The 10 t ha-1 BAR consistently produced the highest scores and was the most economically viable option, as evaluated by DTOPSIS-EW. CONCLUSION The optimal biochar application strategy for improving cotton and sugar beet cultivation in Xinjiang, China, is 10 t ha-1 biochar applied continuously. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Shibin Wang
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
| | - Chunli Wang
- Hybrid Rapeseed Research Center of Shaanxi Province, Yangling, China
| | - Lulu Xie
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
| | - Yi Li
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, China
| | - Kadambot Hm Siddique
- The UWA Institute of Agriculture, and UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Xingyun Qi
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
| | - Honghai Luo
- College of Agriculture, Shihezi University, Shihezi, China
| | - Guang Yang
- College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, China
| | - Zhenan Hou
- College of Agriculture, Shihezi University, Shihezi, China
| | - Xiaofang Wang
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
| | - Jiaping Liang
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
| | - Xiangwen Xie
- Institute of Soil Fertilizer and Agricultural Water Saving, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - De Li Liu
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
- Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia
- Gulbali Research Institute, Charles Sturt University, Wagga, NSW, Australia
| | - Fucang Zhang
- College of Water Resources and Architectural Engineering/Key Lab of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest Agriculture and Forestry University, Yangling, China
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