Review on Genetic Variability Studies of Soybean (Glycine Max L.) in Ethiopia: Challenges and Opportunities

Soybeans represent a major oilseed and protein crop in Ethiopia, contributing substantially to food security, income generation, and soil fertility improvement. Optimal production relies on refined cultivation practices, including effective land preparation, appropriate plant spacing, and timely weed management, all of which maximize genetic yield potential. Genetic variability remains essential for crop improvement and breeding initiatives. However, the efficiency of soybean breeding in Ethiopia is constrained by several factors, including limited application of molecular breeding techniques, a narrow genetic base of germplasm, environmental variability, and inadequate research infrastructure. Opportunities exist to advance soybean improvement through the adoption of modern genomic tools such as marker-assisted selection and genomic selection, expansion of multi-environment trials, and participatory plant breeding strategies. This review synthesizes findings from genetic variability studies conducted in Ethiopia over the past decade, with a focus on parameters such as genotypic and phenotypic coefficients of variation, heritability, genetic advance, and trait associations. The evidence consistently demonstrates significant variability among soybean genotypes across diverse agro-ecological zones. High heritability coupled with high genetic advance for yield-related traits indicates the predominance of additive gene action, facilitating effective selection. Persistent challenges include limited molecular breeding, environmental variability, and a restricted genetic base. While Ethiopia has begun to implement Marker-Assisted Selection (MAS), integration of multi-omics data and high-throughput phenomics remains limited. There is considerable potential to modernize the sector by adopting precision breeding approaches, emphasizing climate resilient ideotypes and industrial quality traits, such as reduced anti-nutritional factors, which are currently under represented in the national research agenda.