Multivariate Analysis Reveals Genetic Diversity and Superior Oil Quality Traits in Advanced Mustard (<i>Brassica juncea</i>) Genotypes for Future Breeding

作者：Sabir Hussain, Muhammad Shah Jahan Bukhari, Imran Akhtar, Muhammad Akram, Saqib Saleem, Zia Ullah Ghazali, Zeeshan Hafeez, A. H. Chaudhary, Muhammad Jahangir Shah, Muhammad Ijaz · 发表于：Integrative plant biotechnology. · 年份：2025 · DOI：10.55627/pbiotech.003.02.1353 · 研究领域：Nitrogen and Sulfur Effects on Brassica

Mustard (Brassica juncea L.) is a vital oilseed crop in Pakistan, valued for its nutritional oil and adaptability to diverse agroclimatic zones. However, limited genetic diversity and suboptimal varieties constrain yield and oil quality, posing a challenge to meet rising demand and reduce edible oil imports. This study evaluated twelve advanced mustard genotypes at the Regional Agricultural Research Institute, Bahawalpur, using a randomized complete block design with three replications to explore agronomic performance and oil quality traits. Key parameters including days to flowering and maturity, plant height, branching, 1000 seed weight, seed yield, oil content, and fatty acid composition were recorded. Multivariate analysis—principal component analysis (PCA) and cluster analysis—were employed to decipher genetic diversity and trait interrelationships. The results revealed significant variation among genotypes for all traits, with PCA and cluster analysis grouping genotypes into three distinct clusters. One cluster included genotypes characterized by taller plants and higher saturated fatty acid content but lower seed weight and oil content, indicating potential biomass producers with lower oil quality. Another cluster comprised genotypes with early maturity and moderate yield traits. The third cluster stood out with higher branching, seed weight, oil content, and oleic acid levels, representing the most promising group for breeding high-yielding, oil-rich mustard varieties...