Variability, Correlation and Path Analysis in Advanced  Generation of Aromatic Rice

Lakshmi, L.; Rao, M.V. Brahmeswara; Raju, C. S.; Reddy, S. Narender

doi:10.20546/ijcmas.2017.607.217

Cited by 18 publications

(13 citation statements)

References 3 publications

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“…High heritability coupled with high genetic advance as percent of mean was observed in leaf length (96.12, 33.87), number of effective tiller (87.81, 40.32), filled grains per panicle (95.17, 36.47), 1000 grain weight (90.56, 35.72) and decorticated grain length breadth ratio (91.17, 31.49) indicating the role of additive gene expression of these traits and have better scope for improvement of these traits through direct selection. Similar results were reported by Gour et al (2017) and Lakshmi et al (2017). Heritability estimates (above 60%) along with genetic advance (above 20%) would be helpful in predicting gain under selection than heritability estimates alone.…”

Section: Resultssupporting

confidence: 88%

“…The characters, which exhibited high heritability, suggests that the selection will be more effective whereas the traits showing low heritability indicates that the selection will be influenced by the environmental factors. These results matched with Islam et al (2016) and Lakshmi et al (2017). Table 4 presents the genotypic and phenotypic correlations of coefficient among the traits.…”

Section: Resultssupporting

confidence: 71%

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Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

Islam¹,

Chakrabarty²,

Akter³

et al. 2019

Bangladesh Rice J.

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The success of varietal development programmme largely depends on the nature and magnitude of genetic variability, heritability and characters association of the crop. The objective of the present study was to estimate the extent of genetic variability and relation between yield and related characters of rice. Forty Boro rice germplasm were evaluated in a randomised complete block design with three replications. Analysis of variance indicated significant differences among the genotypes for 14 quantitative characters. The presence of slightly higher phenotypic coefficient of variation than genotypic coefficient of variation indicated the negligible influence of environment on the expression of yield and its component traits. Leaf length, days to flowering, days to maturity and 1000 grain weight showed highly positive significant correlation present with yield hill-1. High heritability had been observed for yield contributing traits during the study, suggested that these traits would respond to selection owing to their high genetic variability and transmissibility. Therefore, a thorough understanding of the inheritance of traits, their heritability and relationship with other important characteristics is important for the choice of breeding and selection methods for crop improvement. Bangladesh Rice j. 2018, 22(1): 35-43

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Section: Resultssupporting

confidence: 88%

Section: Resultssupporting

confidence: 71%

Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

Islam¹,

Chakrabarty²,

Akter³

et al. 2019

Bangladesh Rice J.

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“…The correlation among traits under study indicated that the short period to heading will provide more time to increase the number of panicle per plant and 1000 grain weight, and full-grain number per panicle will be improved by increasing of panicle length or panicle number per plant, as well as any increase in panicle number per plant will cause an increase in 1000 grain weight which leads to improvement of the final grain yield which was correlated positively to yield traits. These results agree with the results of Kumar et al (2011), Khush (2013), Karim et al (2014), Kumar et al (2017), Lakshmi et al (2017), Bhutta et al (2019), Chhangte and Devi, (2019), and Panda et al (2019). Current knowledge about trait relationships helps in the appropriate selection process due to the increased share of crop improvement (Gonçalves et al, 2017).…”

Section: Discussionsupporting

confidence: 88%

Definition of selection criterion using correlation and path coefficient analysis in rice (Oryza sativa L.) genotypes

2020

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Background and objective: Investigation on genetic variability and correlation study between yield and its components of genotypes on rice may increase the opportunity to exploit its potential which will help meet the demand of high grain yield and nutrition supply. The current study aimed to determine correlation and path coefficients between twenty-two Egyptian and exotic rice genotypes to establish selection criteria which might help to develop genotypes for high yielding. Materials and methods: Twenty-two Egyptian and exotic rice genotypes were evaluated through seven agronomic traits. Agronomic data were collected during the two successive rice growing seasons, 2017 and 2018. The matrix of phenotypic correlations was estimated and analyzed into direct and indirect effects through path coefficient analysis. Results: Results showed that grain yield per plant had a high positive and significant correlation (p ≤ 0.01) with panicle number per plant, full grain number per panicle, and 1000 grain weight, 0.791**, 0.670**, and0.766**, respectively. As expected, there was a negative correlation (p ≤ 0.05) between days to heading and panicle number per plant (r =-0.496*) and with1000 grain weight (r =-0.433*). Path coefficient analysis showed that despite high positive and significant correlation (p ≤ 0.01) between grain yield per plant and many variables, a small number of these correlations was verified to have a relationship of cause and effect. Variables with positive and significant correlation and with a high direct effect on grain yield per plant were 1000 grain weight (0.5107 direct effects) followed by panicle number per plant (0.4003), and full grain number per panicle (0.3028). Conclusion: The three traits (1000 grain weight, panicle number per plant, and full grain number per panicle) are the most important variables for use in grain yield per plant assessment programs as selection indices because they have positive and significant correlations and direct and/or indirect effect on the correlation value of the increased rice grain yield production. Hence, for increasing grain yield, the direct selection of genotypes based on positively correlated traits will be more fruitful while planning any rice breeding program to achieve higher grain yield in rice.

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“…Results are in accordance with [17,10,18,19]. This trait showed positive association with plant height (0.113) and harvest index (0.117).The results are in similarity with [20].…”

Section: Association Studiessupporting

confidence: 89%

Selection Criteria for Identification of High Yielding Rice (Oryza sativa L.) Genotypes under Aerobic Cultivation

Rathod

Soundharya

Shahana

et al. 2020

CJAST

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Ten rice genotypes were evaluated to study the genetic variability, correlation and path analysis under aerobic conditions for selection of high yielding genotypes. The experiment is carried out in RCBD with 3 replications and the data is analysed in SPAR 2.0, Past 4.01 and OPSTAT for variability, correlation and path analysis respectively. The phenotypic and genotypic coefficients of variation were high for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, biological yield and grain yield indicating the possibility of genetic improvement through direct selection for these traits. The magnitude of difference between PCV and GCV was less for the traits indicating little influence of environment. High heritability coupled with high genetic advance was recorded for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, spikelet fertility, biological yield and grain yield indicating a preponderance of additive gene action, which provide excellent scope for further improvement by selection. Significant positive association of grain yield with number of productive tillers per plant, panicle length, number of filled grains per panicle, 1000-grain weight, spikelet fertility and biological yield was observed. Path analysis revealed the traits, number of filled grains per panicle exerted highest positive direct effect on grain yield followed by 1000-gain weight and number of productive tillers per plant. Thus, these traits which contribute to the grain yield under aerobic condition could be exploited for further breeding programme.

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Variability, Correlation and Path Analysis in Advanced Generation of Aromatic Rice

Cited by 18 publications

References 3 publications

Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

Definition of selection criterion using correlation and path coefficient analysis in rice (Oryza sativa L.) genotypes

Selection Criteria for Identification of High Yielding Rice (Oryza sativa L.) Genotypes under Aerobic Cultivation

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