Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
Table 1: Details of 15 genotypes used in the study along with parentage
Table 2: Details of six locations in Telangana state used for evaluation of genotypes
Table 3: Mean grain yield (kg ha-1) of 15 rice genotypes across six locations
Table 4: Analysis of variance for grain yield over 15 rice genotypes and 6 locations
Table 5: Partitioning of genotype×environment interaction with AMMI model for grain yield in rice
Figure 1: AMMI-1 model for grain yield showing the means of genotypes (G) and environments (E) against their respective IPCA1 scores in rice
Table 6: Partitioning of genotype×environment interaction with GGE model for grain yield in rice
Figure 2: GGE biplot genotype view for grain yield in rice
Figure 3: GGE biplot environment view for grain yield in rice
Table 7: Mean grain yield and principal component scores of AMMI and GGE for rice genotypes
Figure 4: GGE biplot genotype view for grain yield in rice
Figure 5: What-won-where biplot for 15 genotypes and six locations in rice
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