University of Agricultural Sciences, Bangalore-560 065, Karnataka
1Present address: Directorate of Rice Research, Hyderabad
2ICAR Research Complex for NEH Region, Barapani, Meghalaya
3Directorate of Groundnut Research, Junagadh
4Directorate of Soybean Research, Indore
*Corresponding author's e-mail: genefiyaz@gmail.com
Online published on 15 November, 2013.
A study was undertaken to assess the response of rice genotypes grown under alkaline soil condition using various multivariate analytical tools. ANOVA and MANOVA revealed significant differences among 33 genotypes for different traits. Principal component analysis (PCA) grouped the traits into three components, which jointly explained 67% of the total variation. Largest variation was explained by total biomass, spikelet per panicle and grain yield per panicle. When different alkalinity groups were compared in pairwise fashion using SIMPER analysis, it was found that there is no common trait to differentiate between the groups. Considering all traits together, Vikas and KMR 3 were identified as the most suitable genotypes which can be utilized as donors for tolerance to alkalinity.
Rice, soil alkalinity, principal component axes, SIMPER analysis, grain yield
