Arid
DOI10.3390/agronomy12061341
A Case Study in Desertified Area: Soybean Growth Responses to Soil Structure and Biochar Addition Integrating Ridge Regression Models
Ma, Hua; Li, Qirui; Egamberdieva, Dilfuza; Bellingrath-Kimura, Sonoko Dorothea
通讯作者Ma, H
来源期刊AGRONOMY-BASEL
EISSN2073-4395
出版年2022
卷号12期号:6
英文摘要Desertified land covers one-fourth of the world's total land area. Meeting the high food demands in areas affected by desertification is a major problem. This case study provided fundamental information to demonstrate the potential for utilizing the desertified land. The soybean trial was established in two sandy clay loam soils (desertified land) and one silty clay loam soil. Two types of biochar were applied as treatments. We aimed to investigate the response of soybean plants to soil structure, soil nutrient condition, and biochar amendment in the two types of soil. In addition, ridge regression was employed to model the plant growth indicators by soil structure, soil nutrients condition, soil water content, and biochar amendment. We conclude that (1) overall soil productivity in sandy clay loam soil is lower than in silty clay loam soil. The sandy clay loam soil may have high efficacy for crop production due to its higher harvest index. (2) Aggregate size 0.5-1 mm, 1-2 mm, and 2-3 mm indicated more important in plant biomass formation in silty clay loam soil. The low aggregate stability of sandy clay loam soil made the field more vulnerable to wind erosion in the semi-arid monsoon climate. (3) Cob biochar and wood biochar increased soybean shoot biomass by 48.7% and 45.0% in silty clay loam soil. (4) The higher N-fixing ability of nodules in sandy clay loam soil indicates an advantage to reduce the use of N-fertilizers in desertified areas. (5) Exponential polynomial regression ameliorated the accuracy of prediction of plant growth indicators in comparison to linear regression.
英文关键词clay loam soil aggregate size class ridge regression exponential polynomial regression leghemoglobin content
类型Article
语种英语
开放获取类型Green Published, gold
收录类别SCI-E
WOS记录号WOS:000816356100001
WOS关键词AGGREGATE STABILITY ; PHYSICAL-PROPERTIES ; WIND EROSION ; BLACK CARBON ; PRODUCTIVITY ; DEGRADATION ; COMPETITION ; PLASTICITY ; ALLOCATION ; FERTILIZER
WOS类目Agronomy ; Plant Sciences
WOS研究方向Agriculture ; Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/391756
推荐引用方式
GB/T 7714
Ma, Hua,Li, Qirui,Egamberdieva, Dilfuza,et al. A Case Study in Desertified Area: Soybean Growth Responses to Soil Structure and Biochar Addition Integrating Ridge Regression Models[J],2022,12(6).
APA Ma, Hua,Li, Qirui,Egamberdieva, Dilfuza,&Bellingrath-Kimura, Sonoko Dorothea.(2022).A Case Study in Desertified Area: Soybean Growth Responses to Soil Structure and Biochar Addition Integrating Ridge Regression Models.AGRONOMY-BASEL,12(6).
MLA Ma, Hua,et al."A Case Study in Desertified Area: Soybean Growth Responses to Soil Structure and Biochar Addition Integrating Ridge Regression Models".AGRONOMY-BASEL 12.6(2022).
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