Genotype by environment interaction and grain yield stability analysis of rice (Oryza sativa L.) genotypes under drought
R. Sellammal, Sabariappan Robin
Abstract
R. Sellammal, Sabariappan Robin
Abstract
Genotype-environment interaction and stability performance were investigated on grain yield with 67 rice backcross inbred lines in three environments. The experiment was conducted using Randomized Complete Block Design with three replications. The combined ANOVA showed that the mean sum of square due to genotype (G), environment (E) and G × E interaction were significant for grain yield. This suggests a number of variability among the genotypes and environments as and the indicated genotypes interacted significantly with environments. The AMMI (Additive Main Effects and Multiplicative Interaction) analysis of variance of plot yield of the sixty seven genotypes tested in three environments showed that 6.387 per cent of the total sum of squares was attributable to genotypic effects, 85.8 per cent to environmental effects and 7.69 per cent to genotype x environment interaction effects. The biplot technique was used to identify appropriate genotype to special locations. This consideration on the basis of average yield for specific genotype to the specific location The AMMI biplot for yield clearly indicated that the CB-0015-52, CB-0015-26, CB-0015-47, CB-0015-35 and CB-0015-66 were high yielding, stable and had general adaptability across the environment due to IPCA score near zero which had no interaction effect.
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Genotype-environment interaction and stability performance were investigated on grain yield with 67 rice backcross inbred lines in three environments. The experiment was conducted using Randomized Complete Block Design with three replications. The combined ANOVA showed that the mean sum of square due to genotype (G), environment (E) and G × E interaction were significant for grain yield. This suggests a number of variability among the genotypes and environments as and the indicated genotypes interacted significantly with environments. The AMMI (Additive Main Effects and Multiplicative Interaction) analysis of variance of plot yield of the sixty seven genotypes tested in three environments showed that 6.387 per cent of the total sum of squares was attributable to genotypic effects, 85.8 per cent to environmental effects and 7.69 per cent to genotype x environment interaction effects. The biplot technique was used to identify appropriate genotype to special locations. This consideration on the basis of average yield for specific genotype to the specific location The AMMI biplot for yield clearly indicated that the CB-0015-52, CB-0015-26, CB-0015-47, CB-0015-35 and CB-0015-66 were high yielding, stable and had general adaptability across the environment due to IPCA score near zero which had no interaction effect.
Key concepts: Ammi, Biplot, Gene–environment interaction, Randomized block design, Genotype, Interaction, Main effect, Total sum of squares