Multivariate analysis and selection criteria for identification of African rice (Oryza glaberrima) for genetic improvement of indica rice cultivars

Thirty-one accessions of Oryza glaberrima were evaluated to study the genetic variability, correlation, path, principal component analysis (PCA) and D 2 analysis. Box plots depicted high estimates of variability for days to 50% flowering and grain yield per plant in Kharif 2016, plant height, produc...

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Bibliographic Details
Published in:Plant genetic resources: characterization and utilization 2019-12, Vol.17 (6), p.499-505
Main Authors: Ishwarya Lakshmi, V. G., Sreedhar, M., Vanisri, S., Anantha, M. S., Subba Rao, L. V., Gireesh, C.
Format: Article
Language:English
Subjects:
Abiotic stress
Agricultural production
Correlation analysis
Crop yield
Cultivars
Flowering
Genetic analysis
Genetic diversity
Genetic improvement
Genetic variability
Germplasm
Grain
Multivariate analysis
Oryza glaberrima
Principal components analysis
Regression analysis
Rice
Seeds
Software
Tillers
Variance analysis
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Summary:Thirty-one accessions of Oryza glaberrima were evaluated to study the genetic variability, correlation, path, principal component analysis (PCA) and D 2 analysis. Box plots depicted high estimates of variability for days to 50% flowering and grain yield per plant in Kharif 2016, plant height, productive tillers, panicle length and 1000 seed weight in Kharif 2017. Correlation studies revealed days to 50% flowering, plant height, panicle length, number of productive tillers, spikelets per panicle having a high direct positive association with grain yield, while path analysis identified the number of productive tillers having the maximum direct positive effect on grain yield. Days to 50% flowering via spikelets per panicle, productive tillers and plant height via spikelets per panicle exhibited high positive indirect effects on grain yield per plant. PCA showed that a cumulative variance of 54.752% from yield per plant, days to 50% flowering, spikelets per panicle and panicle length, contributing almost all the variation of traits while D 2 analysis identified days to 50% flowering and grain yield per plant contributing maximum to the genetic diversity. Therefore, selection of accessions with more number of productive tillers and early maturity would be most suitable for yield improvement programme. The study has revealed the utility of African rice germplasm and its potential to utilize in the genetic improvement of indic a rice varieties.
ISSN:1479-2621
1479-263X
DOI:10.1017/S1479262119000327