Estimation of Variability and Genetic Parameters in Indica and  Japonica Genotypes of Rice (Oryza sativa L.)

Parimala, K.; Devi, K. Rukmini

doi:10.20546/ijcmas.2019.803.135

Cited by 8 publications

(9 citation statements)

References 1 publication

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“…The high estimates (>20%) of phenotypic (PCV) and genotypic (GCV) coefficients of variation were recorded in case of grains per panicle, spikelets per panicle, flag leaf area, biological yield per plant and grain yield per plant. These similar results have also been reported by earlier scientists (Khedikar et al, 2003;Saxena et al, 2005;Dhanwani et al, 2013;Gyawali et al, 2018 andParimala andDevi, 2019).…”

Section: Resultssupporting

confidence: 91%

“…The high to very high estimates of direct selection parameters for above mentioned nine characters indicated that these would be ideal traits for improvement through selection in context of materials evaluated owing to existence of high genetic variability represented by high coefficients of variation and high transmissibility denoted by high heritability for them. The high estimates of direct selection parameters observed for the above characters are broadly in agreement with earlier reports in rice (Thakur et al, 1999;Kumar et al, 2001;Roy et al, 2001;Mohammad and Deva, 2002;Nayak et al, 2002;Yadav et al, 2002;Chaudhary et al, 2004;Shukla et al, 2004;Mall et al, 2005;Suman et al, 2005;Singh et al, 2006;Panwar et al, 2007;Babar et al, 2009;Anjaneyulu et al, 2010;Dhanwani et al, 2013;Lingaiah et al, 2014;Gyawali et al, 2018;Parimala and Devi, 2019)…”

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confidence: 99%

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Assessment of Sodicity Tolerance in Rice (Oryza sativa L.) Germplasm

Shrivastav¹,

Verma²,

-³

et al. 2023

J Rice Res

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The experiment on 113 genotypes (aromatic and non-aromatic rice) including three checks viz., Sarjoo 52, FL 478, and CSR 10 of rice (Oryza sativa L.) was conducted to work out the identification of elite genotypes based on grain yield and their various yield attributing traits. The grain yield per plant ranged from 8.898g for NDRK 50047 to 24.658g in the case of IR 13 T 141 with a general mean of 16.464g. Out of 113 genotypes, thirty-six genotypes produced significantly higher grain yield per plant than the general mean. The best ten genotypes for higher grain yield per plant were IR 13 T 141, IR 11 T 230, IR 13 T 145, IR 12 T 147, IR 11 T 171, IR 11 T 132, IR 11 T 205, IR 12 T 193, AT 401, and CSR 43. Similarly, the genotypes showed that very high mean performance in the desired direction for various characters; may also be used as donors for improving the characters for which they had high mean performance in yield and yield contributing traits. The availability of large genetic variability, as well as the nature of heritability and gene actions, are all important factors in the success of selection in improving plant traits. The basic material for a plant breeding programme is genetic diversity, which is used to generate superior genotypes through selection.

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Section: Resultssupporting

confidence: 91%

mentioning

confidence: 99%

Assessment of Sodicity Tolerance in Rice (Oryza sativa L.) Germplasm

Shrivastav¹,

Verma²,

-³

et al. 2023

J Rice Res

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“…The high estimates of direct selection parameters observed for the above characters are broadly in agreement with earlier reports in rice (Anjaneyulu et al, 2010;Dhanwani et al, 2013;Lingaiah et al, 2014;Gyawali et al, 2018;Parimala and Devi 2019).…”

Section: Coefficient Of Variationsupporting

confidence: 91%

Assessing Genetic Variability, Heritability and Genetic Advance in Rice (Oryza Sativa L.) Under Sodic Soil

Shrivastav¹,

Verma²,

Singh³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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“…1) Days to 50% flowering, 2) Days to maturity, 3) Flag leaf length, 4) Flag leaf width, 5) Number of total tillers per hill, 6) Number of total panicles per hill, 7) Panicle length, 8) Number of spikelets per panicle, 9) Days to maturity, 10) Biological yield, 11) Harvest index, 12) Test weight, 13) Grain yield per hill [13][14][15][16][17][18][19][20].…”

Section: Methodsmentioning

confidence: 99%

Heritability and Character Association among Yield Component Characters and Grain Yield in Rice (Oryza sativa L.)

Keerthana

Lavanya

2022

IJPSS

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Morphological characterization of 31 rice breeding lines using 13 agronomic traits was done in field experiment in a Randomized Block Design in the Research farm of Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, U.P. The goals were to determine the extent of variability among rice lines, the relationship between yield and other traits in order to identify a few traits that could serve as good yield components to improve rice yield, and the heritability of the traits in order to effectively utilise rice lines for breeding purposes. The combined data's correlation coefficient and broad-sense heritability estimations for the 13 features linked to grain yield revealed highly substantial genetic variation (p<0.0001) among the genotypes. Of all the characters evaluated, only harvest index had the highest and significant correlation with grain yield (r=0.660).

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Estimation of Variability and Genetic Parameters in Indica and Japonica Genotypes of Rice (Oryza sativa L.)

Cited by 8 publications

References 1 publication

Assessment of Sodicity Tolerance in Rice (Oryza sativa L.) Germplasm

Assessment of Sodicity Tolerance in Rice (Oryza sativa L.) Germplasm

Assessing Genetic Variability, Heritability and Genetic Advance in Rice (Oryza Sativa L.) Under Sodic Soil

Heritability and Character Association among Yield Component Characters and Grain Yield in Rice (Oryza sativa L.)

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