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Assessment of composition and spatial dynamics of weed communities in agroecosystem under varying edaphic factors

Weeds are important components of the agroecosystems due to their role as primary producers within the farming systems, yet they are considered as major constraints to crop production. A phytosociological study was conducted to assess the composition and spatial distribution of existing weed species...

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Detalles Bibliográficos
Autores principales: Yousaf, Anum, Khalid, Noreen, Aqeel, Muhammad, Rizvi, Zarrin Fatima, Alhaithloul, Haifa A. S., Sarfraz, Wajiha, Al Mutairi, Khalid, Albishi, Tasahil S., Alamri, Saad, Hashem, Mohamed, Noman, Ali, Qari, Sameer H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140292/
https://www.ncbi.nlm.nih.gov/pubmed/35622843
http://dx.doi.org/10.1371/journal.pone.0266778
Descripción
Sumario:Weeds are important components of the agroecosystems due to their role as primary producers within the farming systems, yet they are considered as major constraints to crop production. A phytosociological study was conducted to assess the composition and spatial distribution of existing weed species under the influence of various edaphic factors in the 15 wheat fields. Quadrat method was applied and different phytosociological attributes including abundance, density, and frequency were estimated by randomly laying down 10 square-shaped quadrats of size 1m(2) in each wheat field. A total of 34 weed species belonging to 17 families and 30 genera were explored from 150 quadrats. Fabaceae and Asteraceae were ubiquitous plant families. Various edaphic factors such as; soil texture, electrical conductivity, soil pH, total dissolved solids, nitrogen, calcium carbonate, organic matter, NaCl, calcium, phosphorous, potassium, sodium, and zinc were determined. Pearson’s correlation was employed to correlate weeds and the potential edaphic variables. The results depicted that most of these weed pairs’ associations correlated positively. Simultaneously, the abundant weed species including Trifolium repens, Coronopus didymus, and Urtica dioica showed a positive correlation with most of the investigated ecological variables.