Assessment of phenotypic stability of maize genotypes evaluated in multiple environments in Bangladesh

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Published: May 4, 2024
Keywords:
Genotype and environment interaction AMMI YSi statistic Maize

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M.A. Alam
Spices Research Centre, Bangladesh Agricultural Research Institute, Shibganj, Bogura 5810, Bangladesh
M.S. Ahmed
Plant Breeding Division, Bangladesh Wheat and Maize Research Institute, Dinajpur 5200, Bangladesh
M.A. Miah
Plant Breeding Division, Bangladesh Wheat and Maize Research Institute, Dinajpur 5200, Bangladesh
N. Jahan
Plant Genetic Resources Centre, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh
M.K. Debnath
Department of Agricultural Statistics, Uttar Banga Krishi Vishwavidyalaya, West Bengal 736165, India
M.M. Rahman
Regional Station, Bangladesh Institute of Research and Training on Applied Nutrition, Rangpur 5470, Bangladesh
M.S. Uddin
Pulses Research Sub-Station, Bangladesh Agricultural Research Institute, Madaripur 7900, Bangladesh

Abstract

Background and Objective: Studying genotype and environment interaction (GEI) is vital in plant breeding programs for developing high-yielding varieties across various environmental conditions. The present study aims to explore how maize genotypes respond to diverse environments and identify those consistently performing well through multi-location trials, aiding in effective variety development.
Methodology: In the present study, forty-five maize genotypes were evaluated in three locations (viz., Jessore, Ishwardi, and Barisal) in Bangladesh. Stability analysis was employed to identify suitable and stable genotypes with higher-yielding potential. The joint regression, yield stability index (YSi), additive main effect and multiplicative interaction (AMMI) analysis, and GGE biplot analysis were used to estimate the genotype’s stability.
Main Results: Individual and combined data analysis showed significant (P < 0.05) genotypic impact and GEI for maize yield. It was revealed that genotype (46.02%) was the highest source of variation while environment was the least one (11.27%). The GEI accounted for 42.71% of the total variability, indicating the significance of this source of variation. The first two interaction principal component axes exhibited ~90% variation of GEI. Stability analysis with the help of GGE biplot, additive main effect, AMMI, and YSi statistics consistently showed that genotypes G5, G8, and G42 were better-performing and stable regarding grain yield.
Conclusions: Among the studied environments, Ishwardi was the high-yielding environment, also confirmed by the heatmap diagram. Similarity in performance by the genotypes was observed at Barisal and Jessore environments. However, genotypes (G5, G8, and G42) that performed better across the environments could be selected for cultivation over the regions.

Article Details

Issue
Vol. 56 No. 3 (2023): July-September
Section
Research Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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