Predicting Yield From Selected Growth Parameters Of Maize Grown Under Varying Irrigation
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Predicting Yield From Selected Growth Parameters Of Maize Grown Under Varying Irrigation And Nitrogen Rates In Embu County, Kenya
The study sought to establish a growth stage at which the number of leaves and plant height best predicts the grain and biomass yield of DK8031 maize grown in Embu County, Kenya, using correlation and regression analysis. The experiment was an RCBD laid out in a split plot arrangement in which irrigation levels and nitrogen rates were assigned the main and sub-plot treatments, respectively. The number of leaves per plant (L) and plant height (H) was determined every two weeks after planting (WAP) over two seasons (April to September 2012 and October 2012 to March 2013). The grain yields were measured at harvest and data managed using MS Excel and SAS computer package (V9.0).DownloadViews: 19

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