Materials and methods
Plant material and field experiment details
Total of 266 RILs were developed from a cross of Hanoch X Harari closely related Virginia-type peanut cultivars (Supplementary Fig 1). The two parental cultivars share substantial genetic background since Harari was developed from an initial cross between Hanoch and Shulamit and an additional back-cross of Hanoch with Hillah (the outcome of Hanoch x Shulamit) (Kayam et al. 2017). Yet, these parental lines show fair phenotypic variation in many agronomic related traits. Hanoch is a late-maturing spreading-type cultivar, with relatively low yield (6400 kg ha-1), while Harari is a medium-early maturing bunch-type cultivar with smaller seeds but higher average yields (7300 kg ha-1). …show more content…
Genetic variability parameters
For each trait, total variation was partitioned into phenotypic ( ), genotypic ( ) and environmental ( ) variance based on expectation of mean square for respective source of variation described in analysis of variance,
〖 〗_e^2=M_e, 〖 〗_( )^2=(M_( )-M_e)/r ×100, 〖 〗_p^2=σ_( )^2+σ_e^2
Where, M_e is the environmental variance and r is the number of replications or environments.
Environmental, genotypic and phenotypic coefficient of variation (ECV, GCV and PCV) existing in traits were estimated by formula given by Burton (1952),
ECV (%)=√(〖 〗_e^2 )/( ) ×100, GCV (%)=√(〖 〗_( )^2 )/( ) ×100, PCV (%)=√(〖 〗_p^2 )/( ) ×100
Heritability (h2) in broad sense was calculated according to formula suggested by Allard (1960) h^2=(〖 〗_( )^2)/(〖 〗_p^2 )×100
The expected genetic advance (GA) was measured by the formula proposed by Lush (1949) GA=V_g/V_p ×√(V_p ) ×k, =V_g/√(V_p …show more content…
It is a mixture of analysis of variance (ANOVA) and principal component analysis (PCA). The GEI was calculated in AMMI by considering first two principal components i.e. interaction principal component axes (IPCA 1 and IPCA 2). ANOVA model was used to analyze the trait data with main effects of genotype and environment without the interaction, then, a principal component analysis was combined using the standardized residuals. These residuals comprise the experimental error and the effect of the GEI. The AMMI analytical model formula
Plant material and field experiment details
Total of 266 RILs were developed from a cross of Hanoch X Harari closely related Virginia-type peanut cultivars (Supplementary Fig 1). The two parental cultivars share substantial genetic background since Harari was developed from an initial cross between Hanoch and Shulamit and an additional back-cross of Hanoch with Hillah (the outcome of Hanoch x Shulamit) (Kayam et al. 2017). Yet, these parental lines show fair phenotypic variation in many agronomic related traits. Hanoch is a late-maturing spreading-type cultivar, with relatively low yield (6400 kg ha-1), while Harari is a medium-early maturing bunch-type cultivar with smaller seeds but higher average yields (7300 kg ha-1). …show more content…
Genetic variability parameters
For each trait, total variation was partitioned into phenotypic ( ), genotypic ( ) and environmental ( ) variance based on expectation of mean square for respective source of variation described in analysis of variance,
〖 〗_e^2=M_e, 〖 〗_( )^2=(M_( )-M_e)/r ×100, 〖 〗_p^2=σ_( )^2+σ_e^2
Where, M_e is the environmental variance and r is the number of replications or environments.
Environmental, genotypic and phenotypic coefficient of variation (ECV, GCV and PCV) existing in traits were estimated by formula given by Burton (1952),
ECV (%)=√(〖 〗_e^2 )/( ) ×100, GCV (%)=√(〖 〗_( )^2 )/( ) ×100, PCV (%)=√(〖 〗_p^2 )/( ) ×100
Heritability (h2) in broad sense was calculated according to formula suggested by Allard (1960) h^2=(〖 〗_( )^2)/(〖 〗_p^2 )×100
The expected genetic advance (GA) was measured by the formula proposed by Lush (1949) GA=V_g/V_p ×√(V_p ) ×k, =V_g/√(V_p …show more content…
It is a mixture of analysis of variance (ANOVA) and principal component analysis (PCA). The GEI was calculated in AMMI by considering first two principal components i.e. interaction principal component axes (IPCA 1 and IPCA 2). ANOVA model was used to analyze the trait data with main effects of genotype and environment without the interaction, then, a principal component analysis was combined using the standardized residuals. These residuals comprise the experimental error and the effect of the GEI. The AMMI analytical model formula