Abstract
Mechanical-chemical synergy has been proven efficient in weed control. However, characterizing the state of the weed–soil complex after mechanical weeding and revealing its effects on subsequent herbicide application is still challenging, which restricts the implementation of this technology. This paper first presents a method to characterize the state of the weed–soil complex from the perspectives of the fragmentation and composite characteristics. The regrowth of the weed–soil complex and the effects of complemented herbicide-reduced spraying on weed control efficacy and crop yield were then investigated. The results showed that the typical diameters of the weed–soil complexes were 10.67 cm and 2.82 cm after inter-row hoe shovel and intra-row finger weeding, respectively. There were mainly two and four weed–soil complex states after inter-row and intra-row weeding, respectively. The regrowth rate corresponding to the weed–soil complex state with the largest component proportion after inter-row and intra-row weeding was 76.91% and 18.37%, respectively. The additional chemical herbicide sprayed on the weed–soil complex significantly improved the fresh weight control efficacy of 95.12% for the preposed inter-row mechanical weeding and 138.07% for the preposed intra-row mechanical weeding in the maize silking stage. The maize yield of inter-row mechanical–75% chemical application treatment was 9.27% higher than that of chemical treatment. Mechanical weeding creates a suitable weed–soil complex state for subsequent chemical application and improves the synergistic weeding effect.
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Jiangsu Postdoctoral Research Funding Program
Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs
Jiangsu University
Jiangsu Higher Education Institutions
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference28 articles.
1. Chang, C.L., Xie, B.X., and Chung, S.C. (2021). Mechanical control with a deep learning method for precise weeding on a farm. Agriculture, 11.
2. Present status and intelligent development prospects of mechanical weeding technology and equipment for rice;Qi;J. South China Agicultural Univ.,2020
3. A review on weed detection using ground-based machine vision and image processing techniques;Wang;Comput. Electron. Agric.,2019
4. A review of non-chemical weed control on hard surfaces;Rask;Weed Res.,2007
5. Integrated management of common reed (Phragmites australis) along the Platte River in Nebraska;Rapp;Weed Technol.,2012
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献