Abstract
Development of varieties with high yield potential coupled with wide adaptability is an important plant breeding objective. Presence of genotype and environment (G×E) interaction plays a crucial role in determining the performance of genetic materials, tested in different locations in different years. This study was under taken to assess yield performance, stability and adaptability of seventeen hybrid rice genotypes evaluated over 12 environments. The analysis of variance for growth duration and grain yield (t ha-1) for genotype, environment year, environment × genotype, year × environment, year × genotype and year × environment × genotype were highly significant (p<0.01) showing the variable response of the genotype across environments and year. GE interaction patterns revealed by AMMI biplot analysis indicated that the hybrid rice genotypes are broadly adapted. Genotypes BRRI53A/BRRI26R, Jin23A/507R, Jin23A/BR7881-25-2-3-12 and IR79156A/F2277R were best for the environment: Gazipur and Rangpur at second and third year. Genotypes Jin23A/PR344R, BRRI11A/AGR and IR79156A/BRRI20R showing high yield performance and widely adapted to all environments. DOI: http://dx.doi.org/10.3329/sja.v12i2.21912 SAARC J. Agri., 12(2): 1-15 (2014)
Highlights
Development of varieties with high yield potential coupled with wide adaptability is an important plant breeding objective
Analysis of variance was done to determine the effects of year, location, genotypes and interaction among these factors on growth duration and grain yield of promising hybrid rice genotypes
Genotypic main effect averages are presented in table and even in the presence of cross-over interactions in a data set, when it comes to select widely adapted genotypes, breeders are interested in selecting lines with high genotypic effect and with low fluctuation in yield or other traits of interest
Summary
Development of varieties with high yield potential coupled with wide adaptability is an important plant breeding objective. Decide the breeding strategy, to breed for specific or general adaptation, which depends on stability in yield performance under a limited or wide range of environmental conditions. The AMMI model is a hybrid analysis that incorporates both additive and multiplicative components of the two way data structure. AMMI is the only model that distinguishes clearly between the main and interaction effects and this is usually desirable in order to make reliable yield estimations (Gauch, 1992). The AMMI model describes the GE interaction in more than one dimension and it offers better opportunities for studying and interpreting GE interaction than analysis of variance (ANOVA) and regression of the mean. The Interaction Principle Components Analysis (IPCA), which provides a multiplicative model, is applied to analyze the interaction effect from the additive ANOVA model. Integrating biplot display and genotypic stability statistics enables genotypes to be grouped based on similarity of performance across diverse environments
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