Jurnal Agrium
Vol. 23 No. 1: March 2026

Genotype-dependent response of soybean (Glycine max L.) to the vermicompost application in the lowland agroecosystem

Putri, Naja Ananda (Unknown)
Nilahayati, Nilahayati (Unknown)
Rosnina, A. G. (Unknown)



Article Info

Publish Date
31 Mar 2026

Abstract

Soybean (Glycine max L.) productivity in Indonesia remains insufficient to meet national demand, necessitating improvements in both genetic potential and nutrient management strategies. This study aimed to evaluate the growth and yield performance of four soybean genotypes under different vermicompost doses in lowland agroecosystems. The experiment was conducted in Paloh Lada Village, Dewantara District, North Aceh, using a factorial randomized block design with two factors: four soybean genotypes (Anjasmoro, Dena 1, Denasa 2, and M.1.1.3 line) and three vermicompost doses (0, 5, and 10 t ha⁻¹). Data were analyzed using ANOVA followed by Duncan’s Multiple Range Test at 5% significance level. Results showed that genotype significantly affected all observed variables except leaf area. The M.1.1.3 line consistently produced the highest yield (up to 4.12 t ha⁻¹, compared with 10 t ha⁻¹ vermicompost). Vermicompost application significantly increased plant height, root nodules, filled pods, seed weight per plant, seed weight per plot, and yield. Significant genotype × vermicompost interactions were observed for plant height, nodulation, seed weight, and yield. The optimal dose was 10 t ha⁻¹. These findings demonstrate that integrating responsive genotypes with appropriate organic fertilization enhances soybean productivity in lowland environments.

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Journal Info

Abbrev

agrium

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Jurnal Agrium (Journal of Agricultural Research) ISSN 1829-9288 (Print) ISSN 2655-1837 (Online ) is a scientific publication media in are of agriculture that is published regularly every year, March and September. The manuscript comes from the results of basic and applied research, and the results ...