文献类型： 外文期刊

作者： Wang, Shibin ² ; Wang, Chunli ³ ; Xie, Lulu ² ; Li, Yi ¹ ; Siddique, Kadambot H. M. ⁵ ; Qi, Xingyun ² ; Luo, Honghai ⁷ ; Yang, Guang ⁸ ; Hou, Zhenan ⁷ ; Wang, Xiaofang ² ; Liang, Jiaping ² ; Xie, Xiangwen ⁹ ; Liu, De Li ¹⁰ ; Zhang, Fucang ² ;

作者机构： 1.Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Area, Yangling 712100, Shanxi, Peoples R China

2.Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Area, Yangling, Peoples R China

3.Hybrid Rapeseed Res Ctr Shaanxi Prov, Yangling, Peoples R China

4.Qinghai Normal Univ, Acad Plateau Sci & Sustainabil, Xining, Peoples R China

5.Univ Western Australia, UWA Inst Agr, Perth, WA, Australia

6.Univ Western Australia, UWA Sch Agr & Environm, Perth, WA, Australia

7.Shihezi Univ, Coll Agr, Shihezi, Peoples R China

8.Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi, Peoples R China

9.Xinjiang Acad Agr Sci, Inst Soil Fertilizer & Agr Water Saving, Urumqi, Peoples R China

10.Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW, Australia

11.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia

12.Charles Sturt Univ, Gulbali Res Inst, Wagga, NSW, Australia

关键词： cotton; sugar beet; production; biochar management; evaluation

期刊名称：JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE （ 影响因子：4.1； 五年影响因子：4.2 ）

ISSN： 0022-5142

年卷期： 2024 年

页码：

收录情况： SCI

摘要： 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. (c) 2024 Society of Chemical Industry.