Effect of Nitrogen Fertilization Dosage on Growth and Yield of Three Varieties of Glutinous Corn (Zea mays var. ceratina)
Keywords:
Maize, Nitrogen fertilizer, Varieties, Growth components, Yield componentsAbstract
Superior varieties are one of the technological components that are very important in achieving high production. The use of nitrogen fertilizer is the most important factor for plant growth and development. Chemical fertilizers in general and nitrogen fertilizers in particular are important determinants of productivity levels per unit area, and the importance of increasing the use of chemical fertilizers in soil conditions that lack organic matter. The research was carried out from February 2023 to May 2023 at Agro Techno Park, Jatikerto Village, Kromengan District, Malang Regency. The research was carried out in the form of a factorial experiment arranged in a Randomized Group Design (RGD). Consists of 2 factors, where the first factor is three varieties of glutinous corn and the second factor is the dose of nitrogen fertilizer. The first factor, varieties which consist of 3 levels, namely: Arumba Variety (V1), Srikandi Variety (V2), and URI 1 Variety (V3). The second factor, nitrogen fertilization dosage with 4 levels, namely: No fertilizer/Control (A0), Nitrogen 100 kg ha־¹ (A1), Nitrogen 200 kg ha־¹ (A2), and Nitrogen 300 kg ha־¹ (A3). Overall, the variety treatment and N fertilizer dose showed a significant interaction effect on all growth parameters except for the number of leaves at 42 DAP, and leaf area at 14, 21, 35 and 49 DAP. The variety treatment and N fertilizer dose showed a significant interaction effect on all yield parameters except ear length. Variety treatment and N fertilizer dosage had an influence on the analysis of increasing starch, amylose and amylopectin content. The Srikandi variety had the highest yield in every growth and yield of glutinous corn followed by the Arumba and URI 1 varieties. In the treatment with a N fertilizer dose of 300 kg ha־¹ had the highest yield in every observed parameter.