The Use of Soil Parameters in Predicting Weed Infestation in Maize (Zea mays L.)

Gabriel Olulakin, Ladoke Akintola University of Technology; Yetunde Bunmi, Ladoke Akintola University of Technology; Kasali Amofe, Ladoke Akintola University of Technology; Akinpelu Festus, Ladoke Akintola University of Technology

The Use of Soil Parameters in Predicting Weed Infestation in Maize (Zea mays L.)

2013

Gabriel Olulakin, Ladoke Akintola University of Technology | Yetunde Bunmi, Ladoke Akintola University of Technology | Kasali Amofe, Ladoke Akintola University of Technology | Akinpelu Festus, Ladoke Akintola University of Technology

A field work was carried out to investigate the extent to which selected soil chemical properties can influence weed species distribution. There were sixteen treatments of two factors (Fertilizer type and weeding regimes) laid out in RCBD. The treatments included four fertilizer types; no fertilizer (F1), inorganic fertilizer – NPK 15:15:15 applied at 100 kg NPK/ha (F2), organic fertilizer – phosphocompost applied at 2.5 t/ha and organomineral – 50% NPK 15:15:15 plus 50% phosphocompost. Four weeding regimes: weedy treatment (W1), weeding once (W2), weeding twice (W3) and weed free (W4). Weed free and weed once significantly improved maize growth and yield parameter under inorganic and organomineral fertilizer types. Increasing soil pH, organic carbon and available phosphorus significantly reduced total weed biomass with plot that received no fertilizer been responsible for highest weed population. In organic fertilizer treatment significantly reduced soil pH from the initial 6.5 to 6.0 though, it combination with weed once or weed twice gave highest grain yield. Better nutrition (in terms of improved soil nutrient especially macro nutrient and organic carbon) when combined with weeding once can ascertain proper weed management and sustainable maize production.

Показать больше [+]