Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407

2024, Vol. 5, Issue 1, Part A


Dynamics of weed populations and management approaches in agricultural cropping systems


Author(s): S Moore and J Amey

Abstract: This review paper examines the dynamics of weed populations and the efficacy of various management approaches in agricultural cropping systems. It delves into the ecological and economic impacts of weed infestations in agriculture, highlighting the critical role of effective weed management for sustainable crop production. The paper reviews the factors influencing weed population dynamics, including environmental conditions, soil health, and farming practices, alongside the adaptive strategies of prevalent weed species. A comprehensive analysis of traditional and modern weed management strategies is presented, encompassing chemical, biological, cultural, and integrated methods. The review pays particular attention to the challenges posed by herbicide resistance and the importance of sustainable weed management practices. It also explores recent technological advancements in weed control, such as precision agriculture and biological innovations, and discusses the implications of these developments for future agricultural practices. The paper concludes by identifying key challenges and policy implications, underscoring the need for continued research and the development of effective, sustainable weed management strategies in agricultural systems. This review aims to provide a thorough understanding of weed dynamics in agriculture, offering insights into the development of integrated and environmentally sustainable approaches to weed management.

Pages: 38-40 | Views: 520 | Downloads: 303

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Journal of Mathematical Problems, Equations and Statistics
How to cite this article:
S Moore and J Amey. Dynamics of weed populations and management approaches in agricultural cropping systems. Journal of Mathematical Problems, Equations and Statistics. 2024; 5(1): 38-40.
Journal of Mathematical Problems, Equations and Statistics
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