Studies on Genetic Diversity of Non-Basmati Rice (Oryza Sativa L.) Lines for Reproductive Stages Drought Stress
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Sardar Vallabh Bhai Patel University of Agriculture & Technology, Meerut
Abstract
The present investigation comprised 53 genotypes of rice was carried out to analyze the
genetic variability, heritability, genetic advance, correlation, path coefficient and genetic divergence
for 18 quantitative traits. The present study has shown that there is considerable variability in
genotypes for all the traits. The genotypes with high mean values in desirable direction i.e., genotypes
(CRR 635-254) 79.53 days (control condition) and (CRR 668-20) 84.07 days (stress condition)
showed early flowering, the biological yield was more for (Narendra-57) 1148.23 g (control
condition) and (Bhata Mahsuri Mutant-1) 2796.17 g (stress condition), the 1000 seed weight is more
for (Kaley) 24.50 g (control condition) and in (Kaley) 23.70 g (stress condition), grain yield per plot
is more for (NDR-359) 787.50 g (control condition) and in (NDR-359) 593.50 (stress condition). The
estimates of PCV and GCV were high for characters number of unfilled grain per panicle, number of
filled grain per panicle, total number of grains per panicle, biological yield per plot, harvest index
(%), grain yield/plot (g) and was moderately observed in days to 50% Flowering, plant Height (cm),
number of effective tillers per hills, flag leaf length (cm), flag leaf width (cm), 1000-seed weight (g),
grain length (cm), grain width (cm). High heritability coupled with high GA indicates that most likely
the heritability is due to the additive gene effect and selection may be effective for characters such as
days to 50% flowering, plant height, flag leaf length, biological yield, test weight, and grain yield. In
the character association studies correlation analysis has revealed that the following characters such
as biological yield and harvest index have very strong correlation with grain yield. Path coefficient
analysis of grain yield per plot and its contributing characters revealed that biological yield per plot
had the highest positive direct effect on harvest index (%) followed by total number of grains per
panicle and biological yield per plot for controlled and stress condition. The results of D2 analysis
indicated the presence of high amount of genetic diversity among all genotypes studied. Cluster V
consists of had recorded highest mean value for most of the characters like grain yield per plot,
biological yield, days to 50% flowering, total number of grains per panicle and plant height. Hence
selection of genotypes for immediate use may be beneficial. Out of 14 SSR primer pairs studied, all
14 markers showed successful PCR amplicons. Among 53 varieties following varieties show drought
QTL’s - CR Dhan 300, CRR 759-11-B-1, MTU 1363, Gontra Bidhan-3, RYT 3936, RDR 1934, DRR
Dhan 45, JR 12, BPT 3059, NVSR 2842, NDR 359, Co-51, Sahabhagi Dhan, Chirang Sub-1, Burma-
B, Gomti Than.