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

Authors

  • Sabir Hussain Regional Agricultural Research Institute, Bahawalpur, Pakistan Author
  • Muhammad Shah Jahan Bukhari Agricultural Research Station, Bahawalpur, Pakistan Author
  • Imran Akhtar Regional Agricultural Research Institute, Bahawalpur, Pakistan Author
  • Muhammad Imran Akram Regional Agricultural Research Institute, Bahawalpur, Pakistan Author
  • Saqib Saleem Potato Research Station Sahowali, Sialkot, Pakistan Author
  • Muhammad Zia Ullah Ghazali Oilseeds Research Station, Khanpur, Pakistan Author
  • Zeeshan Hafeez Regional Agricultural Research Institute, Bahawalpur, Pakistan Author
  • Asad-ur-Rahman Chaudhary Regional Agricultural Research Institute, Bahawalpur, Pakistan Author
  • Muhammad Jahangir Shah PARC-Arid Zone Research Institute, Bahawalpur, Pakistan Author
  • Muhammad Ijaz Vegetable Research Sub-Station, Bahawalpur, Pakistan Author

DOI:

https://doi.org/10.55627/pbiotech.003.02.1353

Keywords:

Mustard, Principal component analysis , Cluster analysis , Multivariate analysis , Oil contents , Seed yield

Abstract

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. Strong correlations among oil content, oleic acid, and yield traits suggest simultaneous improvement is feasible, though a trade-off with saturated fatty acids exists. The study presents the importance of exploiting genetic diversity in mustard by using multivariate tools to devise breeding strategies to develop stress resilient, high-yielding, and oil superior mustard cultivars for agricultural sustainablility and food security in the counrty.

Author Biographies

  • Muhammad Shah Jahan Bukhari, Agricultural Research Station, Bahawalpur, Pakistan

    Senior Scientist, Agricultural Research Station, Bahawalpur

  • Imran Akhtar, Regional Agricultural Research Institute, Bahawalpur, Pakistan

    Senior Scientist, Regional Agricultural Research Institute, Bahawalpur

  • Muhammad Imran Akram, Regional Agricultural Research Institute, Bahawalpur, Pakistan

    Senior Scientist, Regional Agricultural Research Institute, Bahawalpur

  • Saqib Saleem, Potato Research Station Sahowali, Sialkot, Pakistan

    Senior Scientist, Potato Research Station, Sahowali, Sialkot

  • Muhammad Zia Ullah Ghazali, Oilseeds Research Station, Khanpur, Pakistan

    Senior Scientist, Oilseeds Research Station, Khanpur

  • Zeeshan Hafeez, Regional Agricultural Research Institute, Bahawalpur, Pakistan

    Senior Scientist, Regional Agricultural Research Institute, Bahawalpur

  • Asad-ur-Rahman Chaudhary, Regional Agricultural Research Institute, Bahawalpur, Pakistan

    Scientific Officer, Regional Agricultural Research Institute, Bahawalpur

  • Muhammad Jahangir Shah, PARC-Arid Zone Research Institute, Bahawalpur, Pakistan

    Principal Scientific Officer, PARC-Arid Zone Research Instutute, Bahawalpur

  • Muhammad Ijaz, Vegetable Research Sub-Station, Bahawalpur, Pakistan

    Scientific Officer, Vegetable Research Sub-Station, Bahawalpur

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Published

2025-06-17

How to Cite

Hussain, S., Shah Jahan Bukhari, M. ., Akhtar, I., Imran Akram, M. ., Saleem, S. ., Ghazali, Z. U., Hafeez, Z. ., Chaudhary, A.-U.-R., Jahangir Shah, M., & Ijaz, M. . (2025). Multivariate Analysis Reveals Genetic Diversity and Superior Oil Quality Traits in Advanced Mustard (Brassica juncea) Genotypes for Future Breeding. Integrative Plant Biotechnology, 3(2), 135-144. https://doi.org/10.55627/pbiotech.003.02.1353

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