1Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, Chhattisgarh, India
2M.G. Chitrakoot Gramodya Vishwavidyalaya, Chitrakoot, Satna-485334, Madhya Pradesh, India
3AICRP on Maize-Zonal Agricultural Research Station, Jhabua-457 661, Madhya Pradesh, India
4ICAR RC for Eastern Region, Patna-800 014, Bihar, India
5KVK, Bikramganj, BAU, Sabour-813 210, Bihar, India
*Corresponding author e-mail: rakeshbhu08@gmail.com
Online published on 8 March, 2018.
The adaptability of crop varieties in multi-location trials (MVAT) is a problem in the presence of genotype by environment (G X E) interaction. Various statistical techniques are available to analyse the data in MVAT. But, the information on these methods and their relative performance on evaluation of adaptability of rice varieties are limited. Therefore, a study was conducted to statistical analyze the multi-environmental rice yield data to compare the statistical methods available for analysis. MVATs data of rice were collected from farmer's field of five diverse locations of Bastar district. It consisted of data on performance of varieties at 5 locations over 03 replicated fields. The statistical techniques such as stability parameters, ranking and multivariate techniques were tested with the yield data. Different stability methods consider different aspect of variability across environment and hence produce different results for the same data. Therefore, interpretations of stability of varieties vary according to different parameters considered. Multivariate methods describe G X E interaction effectively with plots that are easy to understand.
Rice varieties, G× E interaction, stability measures, multivariate techniques
