Track 4-1-2: Breeding Cultivated Forage Species for Biomass, Quality and Stress Tolerance
Description
Utilization of maize as dual purpose has increased the economic value of the crop. Dual purpose maize not only meets the demand of grain but also the stover for cattle. The genetic improvement in dual purpose maize should combine breeding for grain with specific needs of forage [Barrière et al., 2005]. Stability in dual purpose maize production is an essential component for sustainable production. The selection of dual type maize should be based on the genotype × environment interaction (GEI) and stability/ adaptability. Parametric models, such as Eberhart and Russell (1966) based on simple linear regression analysis are among cultivars, which explain the variance of the regression deviations as to detect cultivar stability and the linear regression coefficient to detect cultivar adaptability. Genotype × environment interactions (GEI) are of major importance for identification and development of superior cultivars. Keeping this in mind, the present study was undertaken with the objective to (i) to quantify the effects of the environmental and genetic variation for grain yield, green fodder yield and stover yield (ii) to identify the consistence performing lines under environmental changes.
Included in
Stability Analysis in Dual Purpose Maize Line
Utilization of maize as dual purpose has increased the economic value of the crop. Dual purpose maize not only meets the demand of grain but also the stover for cattle. The genetic improvement in dual purpose maize should combine breeding for grain with specific needs of forage [Barrière et al., 2005]. Stability in dual purpose maize production is an essential component for sustainable production. The selection of dual type maize should be based on the genotype × environment interaction (GEI) and stability/ adaptability. Parametric models, such as Eberhart and Russell (1966) based on simple linear regression analysis are among cultivars, which explain the variance of the regression deviations as to detect cultivar stability and the linear regression coefficient to detect cultivar adaptability. Genotype × environment interactions (GEI) are of major importance for identification and development of superior cultivars. Keeping this in mind, the present study was undertaken with the objective to (i) to quantify the effects of the environmental and genetic variation for grain yield, green fodder yield and stover yield (ii) to identify the consistence performing lines under environmental changes.
