Multivariate analysis for yield and its component traits in rice (Oryza sativa L.) under alkaline soil condition
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Abstract
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.
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How to Cite
Fiyaz, R. A., Ramya, K. T., Ajay, B. C., Gireesh, C., & Kulkarni, R. S. (2013). Multivariate analysis for yield and its component traits in rice (Oryza sativa L.) under alkaline soil condition. INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 73(04), 438–442. https://doi.org/10.5958/j.0975-6906.73.4.066
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Research Article
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