4.7 Article

Effect of Barley Sowing Density on the Integrated Weed Management of Lolium rigidum (Annual Ryegrass) in Mediterranean Dryland: A Modeling Approach

期刊

AGRONOMY-BASEL
卷 11, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/agronomy11081565

关键词

weed population dynamics; crop-weed competition; integrated weed management

资金

  1. Secretaria General de Ciencia y Tecnologia de la Universidad Nacional del Sur [PGI 24/K087, 24/A225]
  2. FEDER (European Regional Development Funds)
  3. Spanish Ministry of Science, Innovation and Universities funds [PID2019-103929RB-I00]

向作者/读者索取更多资源

Population models are essential for understanding long-term changes in weed dynamics with integrated weed management strategies. The importance of achieving high control efficiencies in controlling herbicide-resistant weeds and the impact of increased barley sowing densities on weed control were highlighted. Non-herbicide methods were found to be ineffective, and a combination of control tactics is necessary for weed eradication, with the effectiveness of increased sowing density diluted as weed control becomes more demanding. Future research should focus on the effects of weed resistance levels on population dynamics and efficiencies in sustainable IWM programs.
Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed-crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.

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