Quantitative Synergy of Seed Tuber Dimensions and Planting Density: Modeling Optimal Combinations for Maximizing the Productivity of Red Onion (Allium Ascalonicum L.) Bauchi Variety
Abstract
Shallots (Allium ascalonicum L.) are a strategic horticultural commodity that faces challenges in improving productivity and farm efficiency due to decreasing returns to scale. This study focuses on optimizing cultivation through two critical factors: Seed Bulb Size, which determines initial vigor and the plant's food reserves, and Planting Density (spacing), which manages the intensity of intraspecific competition for nutrients and light. The scientific approach uses a Factorial Randomized Block Design (RBD) aimed at discovering a 'Quantitative Synergy' between these two factors, as treatment interactions have been shown to significantly affect Critical Yield Components, such as bulb diameter and bulb weight per clump. By making the Bauchi Variety the specific focus, the main objective of this study is to produce an Optimal Combination Modeling of Seed Tuber Dimensions and Planting Density. This prescriptive model is needed to fill knowledge gaps and provide precise and accurate cultivation protocols, thereby maximizing shallot productivity and ensuring farm efficiency. The experiment was carried out from March 30 to June 1, 2024, in Balonggebang Village, Gondang Subdistrict, Nganjuk Regency, at an altitude of approximately 59 meters above sea level, on Gromosal soil type. The experiment was conducted using a Randomized Block Design (RBD) consisting of two factors and three Blocks. Observations on plant height, number of leaves, and number of tillers were made every 14 days, while measurements of fresh plant weight, dry plant weight per clump, and dry tuber weight per plot were taken after harvest
Fields of Study & Subjects
Shallot Cultivation and Analysis
Agricultural Development and Management
Garlic and Onion Studies
Publication details
- Journal / source
- International Journal of Global Sustainable Research
- Volume
- 3
- Issue
- 12
- Pages
- 969–976
- Publication date
- 1 January 2026