Biology and management of two important Conyza weeds: a global review View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-10-31

AUTHORS

Ali Ahsan Bajwa, Sehrish Sadia, Hafiz Haider Ali, Khawar Jabran, Arslan Masood Peerzada, Bhagirath Singh Chauhan

ABSTRACT

Weed management is one of the prime concerns for sustainable crop production. Conyza bonariensis and Conyza canadensis are two of the most problematic, noxious, invasive and widespread weeds in modern-day agriculture. The biology, ecology and interference of C. bonariensis and C. canadensis have been reviewed here to highlight pragmatic management options. Both these species share a unique set of biological features, which enables them to invade and adapt a wide range of environmental conditions. Distinct reproductive biology and an efficient seed dispersal mechanism help these species to spread rapidly. Ability to interfere strongly and to host crop pests makes these two species worst weeds of cropping systems. These weed species cause 28–68 % yield loss in important field crops such as soybean and cotton every year. These weeds are more prevalent in no-till systems and, thus, becoming a major issue in conservation agriculture. Cultural practices such as crop rotations, seed rate manipulation, mulching, inter-row tillage and narrow row spacing may provide an effective control of these species. However, such methods are not feasible and applicable under all types of conditions. Different herbicides also provide a varying degree of control depending on crop, agronomic practices, herbicide dose, application time and season. However, both these species have evolved resistance against multiple herbicides, including glyphosate and paraquat. The use of alternative herbicides and integrated management strategies may provide better control of herbicide-resistant C. bonariensis and C. canadensis. Management plans based on the eco-biological interactions of these species may prove sustainable in the future. More... »

PAGES

24694-24710

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-016-7794-7

DOI

http://dx.doi.org/10.1007/s11356-016-7794-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044370555

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27798798


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