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<p>Genotype–environment interaction (GEI) aids in identifying stable genotypes by revealing consistent performance across diverse environments. The present study evaluated 96 oat germplasm across inorganic and organic farming systems during three consecutive cropping seasons. Pooled analysis of variance revealed significant genotypes, environment and GEI effects for green fodder yield and dry matter yield. Furthermore, correlation analysis showed a strong positive association (<i>r</i> = 0.84; <i>p</i> &lt; 0.001) between green fodder yield and dry matter yield. The stability indices resulted that genotypes G27, G32 and G84 had high stability for green fodder yield, whereas genotypes G14, G66, G70, G71 and G84 exhibited high stability in terms of dry matter yield. The additive main effect and multiplicative interaction (AMMI) analysis revealed that genotypes G27 and G84 for green fodder yield and G32, G27 and G95 for dry matter yield were identified as the most stable. Genotype plus GEI (GGE) biplot revealed two megaenvironments (ME) which were won by genotypes G38 and G64 in ME1 and genotypes G21 and G64 in ME2 in terms of green fodder yield, while for dry matter yield, target environments grouped into single megaenvironment which were won by genotypes G93, G36 and G95. Test environment (inorganic system 2020–21) that is both discriminating and representative good test environments for selecting generally adapted genotypes. Through a combined analysis of stability indices and biplot-based methods, genotypes G27 and G32 emerged as highly stable with top yield performance. These genotypes represent valuable genetic resources for fostering sustainable oat production in the Northwestern Himalayas.</p>

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Stability Indices, AMMI and GGE Biplots Analysis of Forage Oat Germplasm Under Variable Growing Regimes in the Northwestern Himalayas

  • 期刊论文

  • 发表日期：

    2025年2月10日

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  • Sanjay Kumar Sanadya,
  • Vinod Kumar Sood,
  • Sawan Kumar,
  • Gaurav Sharma,
  • Rhitisha Sood,
  • Gopal Katna,
  • Muluken Enyew,
  • Smrutishree Sahoo

摘要

Genotype–environment interaction (GEI) aids in identifying stable genotypes by revealing consistent performance across diverse environments. The present study evaluated 96 oat germplasm across inorganic and organic farming systems during three consecutive cropping seasons. Pooled analysis of variance revealed significant genotypes, environment and GEI effects for green fodder yield and dry matter yield. Furthermore, correlation analysis showed a strong positive association (r = 0.84; p < 0.001) between green fodder yield and dry matter yield. The stability indices resulted that genotypes G27, G32 and G84 had high stability for green fodder yield, whereas genotypes G14, G66, G70, G71 and G84 exhibited high stability in terms of dry matter yield. The additive main effect and multiplicative interaction (AMMI) analysis revealed that genotypes G27 and G84 for green fodder yield and G32, G27 and G95 for dry matter yield were identified as the most stable. Genotype plus GEI (GGE) biplot revealed two megaenvironments (ME) which were won by genotypes G38 and G64 in ME1 and genotypes G21 and G64 in ME2 in terms of green fodder yield, while for dry matter yield, target environments grouped into single megaenvironment which were won by genotypes G93, G36 and G95. Test environment (inorganic system 2020–21) that is both discriminating and representative good test environments for selecting generally adapted genotypes. Through a combined analysis of stability indices and biplot-based methods, genotypes G27 and G32 emerged as highly stable with top yield performance. These genotypes represent valuable genetic resources for fostering sustainable oat production in the Northwestern Himalayas.