Effect of Nitrogen, Phosphorus and Potassium on Plant Growth and Flower Yield of Hibiscus

Table of Contents

• INTRODUCTION
• REVIEW OF LITERATURE
• MATERIALS AND METHODS
• RESULTS AND DISCUSSION
• SUMMARY AND CONCLUSION

Objectives and Key Themes

This thesis aims to investigate the effect of nitrogen, phosphorus, and potassium on the growth and flower yield of Hibiscus rosa-sinensis. The study aims to optimize the application of these nutrients to improve plant growth and flower production.

• The impact of nitrogen, phosphorus, and potassium on plant height, leaf number, and branch number of Hibiscus rosa-sinensis.
• The influence of nutrient levels on flowering characteristics, including days to bud initiation, days to flowering, number of flowers per plant, flower diameter, and flower weight.
• The economic feasibility of different nutrient treatments for Hibiscus rosa-sinensis cultivation.
• Optimization of nutrient application for maximizing flower yield and profitability.

Chapter Summaries

• Introduction: This chapter provides an overview of the importance of Hibiscus rosa-sinensis as a horticultural crop and highlights the significance of nutrient management for its growth and yield.
• Review of Literature: This section compiles existing research on the role of nitrogen, phosphorus, and potassium in plant growth and development, with a focus on their impact on flowering characteristics in Hibiscus rosa-sinensis.
• Materials and Methods: This chapter details the experimental design, soil analysis, treatment application, and data collection methods used in the study.
• Results and Discussion: This chapter presents the findings of the experiment, analyzing the effects of different nutrient treatments on various growth and flowering parameters. It discusses the significance of the results and explores potential mechanisms underlying the observed effects.

Keywords

Hibiscus rosa-sinensis, nitrogen, phosphorus, potassium, plant growth, flower yield, nutrient management, horticulture, floriculture, fertilizer application, experimental design, statistical analysis.