Weeds are unwanted plant species growing in the domesticated crops. Like other crops maize also faces the problem of competition with weeds. Severe loses in yield up to 70% of maize have been reported in small scale farming due to weeds. Composition and abundance of weeds is influenced by a number of environmental variables as well as farming practices in an ecosystem. Present study was formulated to measure the effect of environmental variables on weed species composition, abundance, distribution pattern and formation of various weeds communities in District Mardan, Pakistan. Phytosociological attributes such as density, frequency, relative density, relative frequency and Importance Values were measured for each field.Presence absence data of 29 species and 65 fields were analyzed using Cluster and Two Way Cluster Analyses via PC-ORD version 5 that resulted in four major weed communities. CANOCO software version 4.5 was used to evaluate the environmental gradients of weeds through Canonical Correspondence Analyses (CCA). Results showed that among all environmental variables the strongest variables were CaCO3, high phosphorous concentration, and higher electric conductivity.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Weeds are unwanted plant species growing in the domesticated crops. Like other crops maize also faces the problem of competition with weeds. Severe loses in yield up to 70% of maize have been reported in small scale farming due to weeds. Composition and abundance of weeds is influenced by a number of environmental variables as well as farming practices in an ecosystem. Present study was formulated to measure the effect of environmental variables on weed species composition, abundance, distribution pattern and formation of various weeds communities in District Mardan, Pakistan. Phytosociological attributes such as density, frequency, relative density, relative frequency and Importance Values were measured for each field.Presence absence data of 29 species and 65 fields were analyzed using Cluster and Two Way Cluster Analyses via PC-ORD version 5 that resulted in four major weed communities. CANOCO software version 4.5 was used to evaluate the environmental gradients of weeds through Canonical Correspondence Analyses (CCA). Results showed that among all environmental variables the strongest variables were CaCO3, high phosphorous concentration, and higher electric conductivity. 84 pp. Englisch. N° de réf. du vendeur 9783659962158
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmad ZeeshanBook authors are 1. Mr Zeeshan Ahmad MPhil Scholar and 2. Dr Shujaul Mulk Khan Assistant Professor, at the Department of Plant Sciences, Quaid-i-Azam University IslamabadWeeds are unwanted plant species growing in t. N° de réf. du vendeur 158249309
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Weeds are unwanted plant species growing in the domesticated crops. Like other crops maize also faces the problem of competition with weeds. Severe loses in yield up to 70% of maize have been reported in small scale farming due to weeds. Composition and abundance of weeds is influenced by a number of environmental variables as well as farming practices in an ecosystem. Present study was formulated to measure the effect of environmental variables on weed species composition, abundance, distribution pattern and formation of various weeds communities in District Mardan, Pakistan. Phytosociological attributes such as density, frequency, relative density, relative frequency and Importance Values were measured for each field.Presence absence data of 29 species and 65 fields were analyzed using Cluster and Two Way Cluster Analyses via PC-ORD version 5 that resulted in four major weed communities. CANOCO software version 4.5 was used to evaluate the environmental gradients of weeds through Canonical Correspondence Analyses (CCA). Results showed that among all environmental variables the strongest variables were CaCO3, high phosphorous concentration, and higher electric conductivity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9783659962158
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Weeds are unwanted plant species growing in the domesticated crops. Like other crops maize also faces the problem of competition with weeds. Severe loses in yield up to 70% of maize have been reported in small scale farming due to weeds. Composition and abundance of weeds is influenced by a number of environmental variables as well as farming practices in an ecosystem. Present study was formulated to measure the effect of environmental variables on weed species composition, abundance, distribution pattern and formation of various weeds communities in District Mardan, Pakistan. Phytosociological attributes such as density, frequency, relative density, relative frequency and Importance Values were measured for each field.Presence absence data of 29 species and 65 fields were analyzed using Cluster and Two Way Cluster Analyses via PC-ORD version 5 that resulted in four major weed communities. CANOCO software version 4.5 was used to evaluate the environmental gradients of weeds through Canonical Correspondence Analyses (CCA). Results showed that among all environmental variables the strongest variables were CaCO3, high phosphorous concentration, and higher electric conductivity. N° de réf. du vendeur 9783659962158
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Taschenbuch. Etat : Neu. Weed species distribution pattern in maize crop of Mardan, Pakistan | Zeeshan Ahmad (u. a.) | Taschenbuch | 84 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659962158 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107528506
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