Hanoch X Shuharari Case Study

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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).
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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
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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

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