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<p>Understanding genotype-by-environment interaction (G×E) is essential for breeding potato cultivars adapted to different regions. We analyzed ~ 13,000 tetraploid breeding lines evaluated over 17 years in Denmark (DK), Spain (ES), and Morocco (MO), representing Scandinavian and Mediterranean mega-environments. A pedigree-based mixed model was fitted for yield, tuber size, and resistance towards scab. Significant G×E was detected for yield and scab, evidenced by lack of unit genetic correlations between environments, heterogeneous genetic variances, and differing heritabilities. Additive genetic correlations for yield were 0.54 (DK–ES), 0.64 (DK–MO), and 0.78 (ES–MO); scab correlation between DK and ES&amp;MO was 0.6. Yield genetic variance in ES was more than twice compared with DK and MO, whereas scab variance was higher in DK. Tuber size showed weaker G×E (r<sub>a</sub> = 0.82). Within mega-environments, genotype × environment components explained 16.8–26.9% of yield variance. Results indicate substantial re-ranking of breeding values; therefore, environment-specific prediction is recommended.</p>

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Genetic Ranking of Potato Varieties is Different in Scandinavian and Mediterranean Environments

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月22日

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  • Muhammad Farhan Yousaf,
  • Hélène Romé,
  • Merethe Bagge,
  • Mathias Timmermann,
  • Just Jensen,
  • Thinh Tuan Chu

摘要

Understanding genotype-by-environment interaction (G×E) is essential for breeding potato cultivars adapted to different regions. We analyzed ~ 13,000 tetraploid breeding lines evaluated over 17 years in Denmark (DK), Spain (ES), and Morocco (MO), representing Scandinavian and Mediterranean mega-environments. A pedigree-based mixed model was fitted for yield, tuber size, and resistance towards scab. Significant G×E was detected for yield and scab, evidenced by lack of unit genetic correlations between environments, heterogeneous genetic variances, and differing heritabilities. Additive genetic correlations for yield were 0.54 (DK–ES), 0.64 (DK–MO), and 0.78 (ES–MO); scab correlation between DK and ES&MO was 0.6. Yield genetic variance in ES was more than twice compared with DK and MO, whereas scab variance was higher in DK. Tuber size showed weaker G×E (ra = 0.82). Within mega-environments, genotype × environment components explained 16.8–26.9% of yield variance. Results indicate substantial re-ranking of breeding values; therefore, environment-specific prediction is recommended.