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

Seung Young Lee, Hyun-Sook Lee, Chang-Min Lee, Su-Kyung Ha, Hyang-Mi Park, So-Myeong Lee, Youngho Kwon, Ji-Ung Jeung () and Youngjun Mo ()
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Seung Young Lee: Department of Crop Science and Biotechnology, Jeonbuk National University, Jeonju 54896, 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

Agriculture, 2023, vol. 13, issue 2, 1-13

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.

Keywords: multi-environment trials (METs); rice breeding; rice yield; stability analysis (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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