Genotype by Environment Interaction Using AMMI, GGE Biplot and Multivariate Analysis of Nepalese Aromatic Rice Landraces

Authors

  • Dev Nidhi Tiwari Nepal Agricultural Research Council, Directorate of Agricultural Research, Dasharathpur, Surkhet, Nepal
  • Madhav Prasad Pandey Department of Genetics and Plant Breeding, Agriculture and Forestry University, Rampur, Chitwan, Nepal
  • Hira Kaji Manandhar Department of Plant Pathology, Agriculture and Forestry University, Rampur, Chitwan, Nepal
  • Tej Narayan Bhusal Department of Genetics and Plant Breeding, Agriculture and Forestry University, Rampur, Chitwan, Nepal

DOI:

https://doi.org/10.3126/ajn.v8i1.70767

Keywords:

Aromatic rice, AMMI, GGE biplot, landraces, PCA, stability analysis

Abstract

Aromatic group of rice comprises fine, medium, long and extra-long grain that has rich in agro-biodiversity, carries historical and cultural significance in Nepalese society. The objective was to identify stable, high-yielding aromatic rice landraces for Nepal Thirty aromatic rice landraces including two released varieties as standard checks were evaluated at three locations during 2020 and 2021. The experiment was laid out in a Randomized Complete Block Design with three replications. The combined analysis of variance indicated differences among genotypes and genotype-environment interactions for grain yield. The additive main effects and multiplicative interaction (AMMI) analysis revealed that genotypic effects for 69%, genotype × environment interaction effects for 28% and environmental effects accounted for 3% of the total sum of squares. Similarly, GGE biplot analysis showed that the principal components (PC1 and PC2) accounted for 53% and 47% of the GGE sum of squares, respectively. Based on AMMI1, AMMI2 biplots, and GGE biplots, the genotypes Samba Masuli Sub-1 and Sugandhit Dhan-1 were identified as the high yielding and stable fine and aromatic rice landraces. Other promising genotypes are Damari Dhan, Tilki, Hiupuri, Kalo Basmati, Gouriya, and Brahmamusi Dhan. Specifically, Samba Masuli Sub-1 demonstrated the highest grain yield performance at the NRRP, Hardinath, while Sunaulo Sugandha and Balamsari Dhan excelled in the Tarahara and Khajura environments, respectively. In PCA analysis, four PCs showed significant eigen value >1.0 contributing more than 84% of total variance. Biplot analysis reflected that 1000 grain weight, panicle length, heading and maturity days, and grain yield showed greater variation among the landraces. The results provide a robust basis for the further evaluation and verification of this findings in advance stage trials. The superior and outstanding landraces with higher yields and aroma are potential future varieties that can be either use directly as varieties after selection or utilize in future breeding programs for the development of new aromatic rice varieties.

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Published

2024-10-18

How to Cite

Tiwari, D. N., Pandey, M. P., Manandhar, H. K., & Bhusal, T. N. (2024). Genotype by Environment Interaction Using AMMI, GGE Biplot and Multivariate Analysis of Nepalese Aromatic Rice Landraces. Agronomy Journal of Nepal, 8, 34–51. https://doi.org/10.3126/ajn.v8i1.70767

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Articles