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Multi-Environment Trials and Stability Analysis for Yield-Related Traits of Commercial Rice Cultivars

Author

Listed:
  • Seung Young Lee

    (Department of Crop Science and Biotechnology, Jeonbuk National University, Jeonju 54896, Republic of Korea
    National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Hyun-Sook Lee

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Chang-Min Lee

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Su-Kyung Ha

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Hyang-Mi Park

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • So-Myeong Lee

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Youngho Kwon

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Ji-Ung Jeung

    (National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Republic of Korea)

  • Youngjun Mo

    (Department of Crop Science and Biotechnology, Jeonbuk National University, Jeonju 54896, Republic of Korea)

Abstract

Multi-environment trials (METs) are essential in plant breeding programs to evaluate crop productivity and adaptability in diverse environments. In this study, we demonstrated the practical use of METs to evaluate grain yield and yield-related traits using 276 Korean rice cultivars, divided into three maturity groups (81 early-, 90 medium-, and 105 medium–late-maturing cultivars) grown in three regions (Jeonju, Suwon, and Miryang) and two planting seasons (early and regular planting) for two years. Due to the narrow genetic variability of the commercial cultivars, which are cultivated in relatively similar environmental conditions, genotype-by-environment interaction (GEI) effects were not statistically significant. However, genotype and environment evaluation using GGE biplot analysis exhibited distinct patterns of mega-environment formation, winning genotypes, ranking genotypes, discriminating power, and representativeness according to the differences in planting seasons and regions. Moreover, the simultaneous selection of stable high-performance genotypes using a weighted average of absolute scores from the singular-value decomposition of the matrix of BLUPs (WAASB) and a multi-trait stability index (MTSI) revealed six recommended genotypes each for early-maturing (Manho, Namil, Unkwang, Odae 1ho, Sinunbong 1ho, and Jonong) and medium-maturing (Sobi, Cheongdam, Shinbaeg, Boramchal, Mimyeon, and Saemimyeon) cultivars, and four genotypes for medium–late-maturing cultivars (Hanmauem, Dami, Baegseolchal, and Hangangchalbyeo). The winning genotypes of each trait can be used as parents to develop regional specialty cultivars by fine-tuning favorable traits, and recommended genotypes can be utilized as elite climate-resilient parents that can aid breeders in improving yield potential and stability across the planting seasons and regions.

Suggested Citation

  • Seung Young Lee & Hyun-Sook Lee & Chang-Min Lee & Su-Kyung Ha & Hyang-Mi Park & So-Myeong Lee & Youngho Kwon & Ji-Ung Jeung & Youngjun Mo, 2023. "Multi-Environment Trials and Stability Analysis for Yield-Related Traits of Commercial Rice Cultivars," Agriculture, MDPI, vol. 13(2), pages 1-13, January.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:256-:d:1042672
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    References listed on IDEAS

    as
    1. Xing Huang & Su Jang & Backki Kim & Zhongze Piao & Edilberto Redona & Hee-Jong Koh, 2021. "Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments," Agriculture, MDPI, vol. 11(6), pages 1-12, June.
    2. Xuehui Huang & Nori Kurata & Xinghua Wei & Zi-Xuan Wang & Ahong Wang & Qiang Zhao & Yan Zhao & Kunyan Liu & Hengyun Lu & Wenjun Li & Yunli Guo & Yiqi Lu & Congcong Zhou & Danlin Fan & Qijun Weng & Chu, 2012. "A map of rice genome variation reveals the origin of cultivated rice," Nature, Nature, vol. 490(7421), pages 497-501, October.
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