Exploring the Physiology and Genetic Stability of Rapeseed Plants for Assessing Oil Content in Western Iran

Abstract

Identifying canola genotypes with high oil percentages and stability across diverse environmental conditions is crucial for breeding programs aiming to enhance crop productivity. Drought stress poses a significant challenge to canola yield, making the selection of adaptable genotypes imperative. This study investigates genotype-environment interaction (GEI) to identify stable canola genotypes with consistent oil percentages under varying conditions. Field experiments over two years in irrigated and rainfed environments evaluated fourteen genotypes using a randomized complete block design. Analysis of variance (ANOVA) revealed significant GEI effects, prompting a search for stable genotypes using stability analysis methods such as AMMI (Additive Main Effects and Multiplicative Interaction) and GGE (Genotype and Genotype by Environment Interaction) biplots. Results highlight Licord as the most stable genotype, maintaining consistent oil percentage across environments. Genotypes 12, 14, and 5 exhibit minimal interaction, indicating stability, while genotypes 5, 7, 8, and 9 are more influenced by environmental factors, emphasizing the need for targeted breeding strategies.

Keywords

• ammi
• brassica napus
• gge bi-plot
• oil percentage