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Articles by O.P. Aiyelari
Total Records ( 2 ) for O.P. Aiyelari
  R.O. Onasanya , O.P. Aiyelari , A. Onasanya , F.E. Nwilene and O.O. Oyelakin
  An experiment to determine the effects of different levels of nitrogen and phosphorus fertilizers on the growth and yield of maize was conducted between June and October, 2007 at the Teaching and Research Farm of the Federal University of Technology, Akure. The experiment was laid out in a Randomized Complete Block Design (RCBD) consisting of twelve treatments with three replicates. The treatments were, 0 kg N ha-1 + 0 kg P ha-1 (T1), 60 kg N ha-1 + 0 kg P ha-1 (T2), 120 kg N ha-1 + 0 kg P ha-1 (T3), 0 kg N ha-1 + 20 kg P ha-1 (T4), 0 kg N ha-1 + 40 kg P ha-1 (T5), 0 kg N ha-1 + 60 kg P ha-1 (T6), 60 kg N ha-1 + 20 kg P ha-1 (T7), 60 kg N ha-1 + 40 kg P ha-1 (T8), 60 kg N ha-1 + 60 kg P ha-1 (T9), 120 kg N ha-1 + 20 kg P ha-1 (T10), 120 kg N ha-1 + 40 kg P ha-1 (T11) and 120 kg N ha-1 + 60 kg P ha-1 (T12). The result of the study showed that application of 120 kg N ha-1 + 0 kg P ha-1 and 60 kg N ha-1 + 40 kg P ha-1 significantly increased the growth of maize than other treatments. The application rate of 120 kg N ha-1 +40 kg P ha-1 significantly (p = 0.05) enhanced grain yield. The study therefore suggests that, for optimum grain yield, 120 kg N ha-1 + 40 kg P ha-1 should be applied particularly in the study area and its environment.
  S.O. Agele , I.K. Oyewusi , O.P. Aiyelari and I.B. Famuwagun
  Background and Objective: The prevailing environmental factors of the early- and late-rainy seasons are critical factors in the processes of yield determination in cowpea. It is hypothesized that crop growth rate (B), dry matter partitioning to pods/seeds (P) and seed setting efficiency of cowpea are affected by the prevailing weather of the growing seasons. These were quantitatively described among cowpea varieties sown as early- and late-rainy season crops using a simple physiological model. Materials and Methods: Field experiments were conducted to evaluate the responses of growth and yield of cowpea varieties to the prevailing soil and weather conditions of the early- and late-rainy seasons between 2014 and 2015 at in a rainforest zone of South West Nigeria. The parameters of the physiological model were evaluated using data obtained from field evaluation of cowpea varieties. Regression coefficient (R2) were worked out among cowpea growth and yield components and accumulated seasonal rainfall, minimum temperatures, growing degree days (GDD) and vapour pressure deficits (VPD). Results: Significant differences were obtained among cowpea varieties for crop growth rates (CGR), dry matter partitioning coefficient (P), minimum assimilate required per seed (MAR), seed setting efficiency (Ef ) and harvest index (HI). Dry matter partitioning coefficient was best for IT98K-573-2-1 compared with other varieties. Although, the duration of the reproductive growth phase (ReGRc) was shorter in the late season, dry matter partitioning, seed set efficiency (EF), pod and seed yields were significantly better for late season cowpea. The regression equations showed that about 40% of yield components in late season cowpea can be explained by cumulative seasonal rainfall, growing degree days, minimum temperatures and atmospheric dryness (VPD). Conclusion: Findings can find use to fine tune crop growth models for the prediction of crop productivity and weather dependent production risks of the sowing seasons in the humid tropics. It is concluded that the weather conditions of the early- and late-rainy seasons are critical factors in the processes of determination of growth and yield characters of cowpea.
 
 
 
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