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.
CONCLUSIONS: 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.
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.
CONCLUSIONS: 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.
摘要：
背景：优化生物炭的应用对于提高作物产量和确保可持续农业生产至关重要。建立了一项为期3年的田间试验，以探讨不同生物炭施用量（BAR）对作物生长的影响。质量,生产力和产量。2018年的BAR设置为0、10、50和100tha-1；2019年为0、10、25、50和100tha-1；2020年为0、10、25和30tha-1。作物质量，生长状态和产量使用动态技术进行订单偏好评估，方法是使用熵权方法（DTOPSIS-EW）与理想解决方案相似，主成分分析(PCA)，隶属函数分析(MFA)，灰色关联分析(GRA)和模糊Borda组合评价法。
结果：低剂量BAR（棉花≤25tha-1；甜菜≤50tha-1）有效增加了生物量，植物高度,叶面积指数（LAI），水和肥力(N，P和K）生产率，和产量。生物炭的施用增加了甜菜中的盐吸收和糖含量，最显著的增长是116.45%和20.35%，分别。相反，BAR对棉纤维品质没有显著影响。GRA方法最适合评估作物生长和质量。反映棉花和甜菜生长和品质状况的最具指示性参数是生物量和LAI。10tha-1BAR始终产生最高分，是最经济可行的选择，由DTOPSIS-EW评估。
结论：优化新疆棉花和甜菜种植的生物炭应用策略,中国,连续施用10tha-1生物炭。©2024化学工业学会。
结果：低剂量BAR（棉花≤25tha-1；甜菜≤50tha-1）有效增加了生物量，植物高度,叶面积指数（LAI），水和肥力(N，P和K）生产率，和产量。生物炭的施用增加了甜菜中的盐吸收和糖含量，最显著的增长是116.45%和20.35%，分别。相反，BAR对棉纤维品质没有显著影响。GRA方法最适合评估作物生长和质量。反映棉花和甜菜生长和品质状况的最具指示性参数是生物量和LAI。10tha-1BAR始终产生最高分，是最经济可行的选择，由DTOPSIS-EW评估。
结论：优化新疆棉花和甜菜种植的生物炭应用策略,中国,连续施用10tha-1生物炭。©2024化学工业学会。
