Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Facultad Nacional de Agronomía Medellín
Print version ISSN 0304-2847
Abstract
RAMOS MOLINA, Lina Maria; SANCHES, Adhemar and COTES TORRES, José Miguel. BAYESIAN INFERENCE IN REGIONAL TRIALS ANALYSES WITH RICE UNDER TWO CROPPING SYSTEMS. Rev. Fac. Nac. Agron. Medellín [online]. 2011, vol.64, n.1, pp.5883-5891. ISSN 0304-2847.
The main objective of this research was to analyze the behavior of 12 rice (Oryza sativa L.) genotypes from Colombia in five environments during 2005 and six environments during 2006. The Bayesian methodology was used to estimate genotype yield averages, Shukla's variance to determine phenotypic stability and the Bayesian Yield-Stability (BYS) index for estimating yield stability. Genotypic averages showed that greatest grain yield was obtained with genotype 400094. The genotypes with the least phenotypic variability according to Shukla's methodology were 350405, 350406, 400090 and 400099. Numerically, the BYS index of genotype 400094 ranged above the averages of the other genotypes, but no statistically significant differences were found.
Keywords : Genotype-environment interactions; Bayesian methodology; Shukla's variance; Bayesian Yield-Stability.