Assessment of Variability of Aromatic Rice Using Agro-Morphological Characterization

Kujur, Nidhi; Bhandarker, Sandeep; Shrivas, Yogita; Tirkey, Alice

doi:10.20546/ijcmas.2017.611.219

Cited by 2 publications

(1 citation statement)

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“…The values of phenotypic coefficient of variation for all the traits under study were found to be more than genotypic coefficient of variation and very small difference was present in between genotypic and phenotypic coefficients of variation revealing very little influence of environment for their expression (Table 2). This finding was in partial consonance with the findings of Bharath et al (2018) [7] , Pragya et al (2018) [8] , Kujur et al (2017) [9] and Rahangdale et al (2019a) [2] . High GCV and PCV were recorded for the traits viz., Stem thickness (25.87%) followed by number of tillers/plant (26.05% & 26.64), number of effective tillers/plant (26.28% & 26.73%), panicle weight per plant, plant weight, biological yield plant, sterile spikelet/panicle, fertile spikelets/panicle, total no.…”

Section: Resultssupporting

confidence: 89%

Genetic diversity analysis and character association of rice hybrids

Karoda,

Singh,

Singh

et al. 2024

Int. J. Adv. Biochem. Res.

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The current investigation was performed at Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, JNKVV, Jabalpur, during Kharif 2022. 104 rice genotypes were planted in Randomized Complete Block design with three replications. The present study was initiated to obtain the promising rice hybrids in respect of various yield and grain quality traits in rice hybrids. High GCV and PCV was observed for number of tillers/plants, number of effective tillers/plants, panicle weight per plant, plant weight, biological yield/plant, sterile spikelet/panicle, fertile spikelets/panicle, total no. of spikelet, spikelet density %, harvest index, panicle index, and grain yield/plant. Grain yield per plant shared positive significant correlation with biological yield/plant and panicle weight/plant. The genotypes of cluster III and cluster VI showed higher inter cluster distance, hence the parental lines fell in these clusters may be utilized for broaden the genetic base of rice. On the basis of PCA ranking for yield attributing five genotypes viz., R 671 ×NPT 29, Kranti × JNPT 1058, Kranti × WGL -14, Shyamla x IR 64 and 29A× P3123 crosses were found superior both for yield and attributing traits.

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