干旱区生态环境知识资源中心(Arid): Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis

Arid

DOI	10.1016/j.still.2024.106094
	Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis
	Liu, Shuaikang; Wu, Bingyan; Niu, Biao; Xu, Fengyi; Yin, Lina; Wang, Shiwen
通讯作者	Wang, SW
来源期刊	SOIL & TILLAGE RESEARCH
ISSN	0167-1987
EISSN	1879-3444
出版年	2024
卷号	240
英文摘要	Northeast China is known as the Corn Belt of China. Long-term conventional tillage has led to severe soil degradation, threatening the food production and China ' s food security. Regenerative farming practices such as no -tillage and deep ploughing have proven effective in protecting soil and promoting sustainable agriculture. However, the effects of no -tillage and deep ploughing on corn yield are hotly debated, and their regional suitability in Northeast China remains unclear. As a solution, a regional machine learning aided meta -analysis was performed to assess the effects of field management practices, climate conditions, and soil properties on crop productivity of no -tillage and deep ploughing versus conventional tillage, and to evaluate the probability of yield increase under no -tillage and deep ploughing across Northeast China. The results showed that the overall effect of no -tillage and deep ploughing significantly increased corn yield by 5.1% and 6.4%, respectively, compared to conventional tillage. Climate conditions had the greatest importance on crop yield under no -tillage, while management practices were the most explainable variable under deep ploughing. Data driven models reveled that the probabilities of yield increase under no -tillage and deep ploughing had large geographical differences. No -tillage performed better in warm arid regions with alkaline soil and low initial soil organic matter. In cold and humid areas with neutral soil and high soil organic matter content, deep ploughing had the greatest possibility of increasing yield. Our study revealed the effects and importance of factors affecting crop productivity of no -tillage and deep ploughing, which helps to optimize these practices. Furthermore, our results provide a reference for agricultural managers to select appropriate tillage practices that simultaneously contribute to food production and sustainable agricultural goals in specific regions of Northeast China.
英文关键词	No-tillage Deep ploughing Sustainable agriculture Corn production Northeast China
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001218896800001
WOS关键词	SOIL PHYSICAL-PROPERTIES ; NO-TILLAGE ; CONSERVATION TILLAGE ; MAIZE YIELD ; BLACK SOIL ; SPRING MAIZE ; DEEP TILLAGE ; ORGANIC-MATTER ; NITROGEN USE ; CROP YIELD
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405649
推荐引用方式 GB/T 7714	Liu, Shuaikang,Wu, Bingyan,Niu, Biao,et al. Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis[J],2024,240.
APA	Liu, Shuaikang,Wu, Bingyan,Niu, Biao,Xu, Fengyi,Yin, Lina,&Wang, Shiwen.(2024).Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis.SOIL & TILLAGE RESEARCH,240.
MLA	Liu, Shuaikang,et al."Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis".SOIL & TILLAGE RESEARCH 240(2024).