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

Published online by Cambridge University Press:  11 November 2019

V. G. Ishwarya Lakshmi ,
M. Sreedhar ,
S. Vanisri ,
M. S. Anantha ,
L. V. Subba Rao  and
C. Gireesh Open the ORCID record for C. Gireesh [Opens in a new window]
V. G. Ishwarya Lakshmi
Affiliation:
ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad – 500 030, India Department of Genetics and Plant Breeding, College of Agriculture, PJTSAU, Rajendranagar, Hyderabad, India
M. Sreedhar
Affiliation:
MFPI-Quality control Lab, Department of Genetics and Plant Breeding, College of Agriculture, Rajendranagar, Hyderabad, India
S. Vanisri
Affiliation:
Department of Molecular Biology and Biotechnology, Institute of Biotechnology, Rajendranagar, Hyderabad, India
M. S. Anantha
Affiliation:
ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad – 500 030, India
L. V. Subba Rao
Affiliation:
ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad – 500 030, India
C. Gireesh*
Affiliation:
ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad – 500 030, India
*
*Corresponding author. E-mail: giri09@gmail.com
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Abstract

Thirty-one accessions of Oryza glaberrima were evaluated to study the genetic variability, correlation, path, principal component analysis (PCA) and D2 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 D2 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 indica rice varieties.

Keywords

box plot and heat mapgenetic diversityprincipal component analysisregression analysis
Type
Research Article
Information
Plant Genetic Resources , Volume 17 , Issue 6 , December 2019 , pp. 499 - 505
Copyright
Copyright © NIAB 2019

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