Targeting cultivar onto suitable growing environments by AMMI and SREG GGE biplot analysis- Future challenges

5^th International Conference on Biometrics & Biostatistics

October 20-21, 2016 Houston, USA

Ravi Ratna Saxena

Indira Gandhi Agricultural University, India

Posters & Accepted Abstracts: J Biom Biostat

Abstract :

Genotype x environment interactions (GEIs) is common phenomenon in variety trials and its presence usually complicates variety selection and release decision. This problem can be reduced by gaining insights into GEI processes and genotype adoption. We exploited the additive main effects and multiplicative interaction (AMMI) and genotype+(genotype x environment) interaction (GGE) biplot analysis as the statistical methods for evaluating chickpea promising lines using the grain yield data for Chhattisgarh regions of India. Study demonstrated that the AMMI and SREG (site regression genotype) GGE models were very effective for studying the pattern of GEI and interpreting chickpea grain yield data from multi environment trials. It revealed that the GE interactions were an important source of yield variation and its biplots were effective enough for visualizing the response patterns of genotypes and environments. The AMMI and GGE biplot analysis revealed similar results in identifying the ideal lines and in identifying the best test environments. AMMI and GGE biplot analysis revealed the two lines, G1 and G7, to be highly adapted in three mega environment of these regions. The use of this genotype by farmers would assure them stable performance across various environments. This genotype could also be used in a breeding program to develop new consistent-performing varieties. GGE biplot aided in comparison of performance of genotypes at different locations and determination of relative performance of genotypes at specific locations was done. According to the similar results of the AMMI and GGE biplot analyses obtained from our multi-environment trials data, both of these statistical methods can be used reliably by plant breeder.

Biography :

Email: drravirsaxena@gmail.com