Weed species composition of conventional soyabean crops in Hungary is determined by environmental,cultural, weed management and site variables |
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| Authors: | G Pinke K Blazsek L Magyar K Nagy P Karácsony B Czúcz Z Botta‐Dukát |
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| Institution: | 1. Faculty of Agricultural and Food Sciences, Széchenyi István University, Mosonmagyaróvár, Hungary;2. Faculty of Economics, J. Selye University, Komárno, Slovak Republic;3. MTA Centre for Ecological Research, Institute of Ecology and Botany, Vácrátót, Hungary |
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| Abstract: | The goal of this study was to identify factors determining weed species composition in soyabean crops in Hungary, where its expanding production faces difficult weed problems. The abundance of weed flora was measured in 262 fields across the country, along with 38 background variables. Using a minimal adequate model containing 24 terms with significant net effects, 21.6% of the total variation in weed species data could be explained. Plot location (edge vs core position, the single site variable in our analysis) was found to be the most important explanatory variable that was followed by a set of environmental (temperature, precipitation, altitude, soil texture, pH, Ca, K, Na and humus content), cultural (cultivar maturity, organic manure, fertiliser P and N, row spacing) and weed management (flumioxazin, pendimethalin, dimethenamid, propaquizafop, bentazone, quizalofop‐p‐ethyl, quizalofop‐p‐tefuril, linuron, thifensulfuron) factors. Variation partitioning revealed that environmental variables accounted for about four times more variance than cultural and about two and half times more than weed management variables. Chenopodium album, Ambrosia artemisiifolia, Hibiscus trionum, Echinochloa crus‐galli and Convolvulus arvensis were the most dominant and frequent weeds, but their abundance was influenced by different factors. The responses of weed species to the studied variables provide new information about their ecological behaviour, and our findings also can be used to develop better weed management strategies. |
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| Keywords: |
Glycine max
non‐GM crops redundancy analysis survey weed flora weed vegetation weed control herbicides |
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