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Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan

Weeds are unwanted plant species growing in ordinary environment. In nature there are a total of 8000 weed species out of which 250 are important for agriculture world. The present study was carried out on weed species composition and distribution pattern with special reference to edaphic factor and...

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Autores principales: Ahmad, Zeeshan, Khan, Shujaul Mulk, Abd_Allah, Elsayed Fathi, Alqarawi, Abdulaziz Abdullah, Hashem, Abeer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5109493/
https://www.ncbi.nlm.nih.gov/pubmed/27872571
http://dx.doi.org/10.1016/j.sjbs.2016.07.001
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author Ahmad, Zeeshan
Khan, Shujaul Mulk
Abd_Allah, Elsayed Fathi
Alqarawi, Abdulaziz Abdullah
Hashem, Abeer
author_facet Ahmad, Zeeshan
Khan, Shujaul Mulk
Abd_Allah, Elsayed Fathi
Alqarawi, Abdulaziz Abdullah
Hashem, Abeer
author_sort Ahmad, Zeeshan
collection PubMed
description Weeds are unwanted plant species growing in ordinary environment. In nature there are a total of 8000 weed species out of which 250 are important for agriculture world. The present study was carried out on weed species composition and distribution pattern with special reference to edaphic factor and farming practices in maize crop of District Mardan during the months of August and September, 2014. Quadrates methods were used to assess weed species distribution in relation to edaphic factor and farming practices. Phytosociological attributes such as frequency, relative frequency, density, relative density and Importance Values were measured by placing 9 quadrates (1 × 1 m(2)) randomly in each field. Initial results showed that the study area has 29 diverse weed species belonging to 27 genera and 15 families distributed in 585 quadrats. Presence and absence data sheet of 29 weed species and 65 fields were analyzed through PC-ORD version 5. Cluster and Two Way Cluster Analyses initiated four different weed communities with significant indicator species and with respect to underlying environmental variables using data attribute plots. Canonical Correspondence Analyses (CCA) of CANOCO software version 4.5 was used to assess the environmental gradients of weed species. It is concluded that among all the edaphic factors the strongest variables were higher concentration of potassium, organic matter and sandy nature of soil. CCA plots of both weed species and sampled fields based on questionnaire data concluded the farming practices such as application of fertilizers, irrigation and chemical spray were the main factors in determination of weed communities.
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spelling pubmed-51094932016-11-21 Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan Ahmad, Zeeshan Khan, Shujaul Mulk Abd_Allah, Elsayed Fathi Alqarawi, Abdulaziz Abdullah Hashem, Abeer Saudi J Biol Sci Original Article Weeds are unwanted plant species growing in ordinary environment. In nature there are a total of 8000 weed species out of which 250 are important for agriculture world. The present study was carried out on weed species composition and distribution pattern with special reference to edaphic factor and farming practices in maize crop of District Mardan during the months of August and September, 2014. Quadrates methods were used to assess weed species distribution in relation to edaphic factor and farming practices. Phytosociological attributes such as frequency, relative frequency, density, relative density and Importance Values were measured by placing 9 quadrates (1 × 1 m(2)) randomly in each field. Initial results showed that the study area has 29 diverse weed species belonging to 27 genera and 15 families distributed in 585 quadrats. Presence and absence data sheet of 29 weed species and 65 fields were analyzed through PC-ORD version 5. Cluster and Two Way Cluster Analyses initiated four different weed communities with significant indicator species and with respect to underlying environmental variables using data attribute plots. Canonical Correspondence Analyses (CCA) of CANOCO software version 4.5 was used to assess the environmental gradients of weed species. It is concluded that among all the edaphic factors the strongest variables were higher concentration of potassium, organic matter and sandy nature of soil. CCA plots of both weed species and sampled fields based on questionnaire data concluded the farming practices such as application of fertilizers, irrigation and chemical spray were the main factors in determination of weed communities. Elsevier 2016-11 2016-07-18 /pmc/articles/PMC5109493/ /pubmed/27872571 http://dx.doi.org/10.1016/j.sjbs.2016.07.001 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Ahmad, Zeeshan
Khan, Shujaul Mulk
Abd_Allah, Elsayed Fathi
Alqarawi, Abdulaziz Abdullah
Hashem, Abeer
Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title_full Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title_fullStr Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title_full_unstemmed Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title_short Weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: A case study from Mardan, Pakistan
title_sort weed species composition and distribution pattern in the maize crop under the influence of edaphic factors and farming practices: a case study from mardan, pakistan
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5109493/
https://www.ncbi.nlm.nih.gov/pubmed/27872571
http://dx.doi.org/10.1016/j.sjbs.2016.07.001
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