Estimation of Genetic Variability, Correlation and Path analysis in short duration Rice Genotypes of Manipur

Kumar, Sudhir; Bhuvaneswari, S.; Devi, E. Lamalakshmi; Sharma, Supriya; Ansari, M A; Singh, Indu Shekhar; Singh, Yogendra; Prakash, Narendra

doi:10.21921/jas.v4i2.7782

Cited by 10 publications

(16 citation statements)

References 5 publications

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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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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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“…Pollen fertility had significant positive correlation with yield per plant because higher percentage of fertile pollen led to higher seed set and ultimately increased yield. Number of grains per panicle and number of filled grains per panicle had significant positive correlation with yield per plant and these results are in consistent with the findings of Kumar et al (2017). Significant positive correlation of number of grains per panicle with number of filled grains per panicle was also recorded by Vanisree et al (2013).…”

Section: Estimation Of Correlation Co-efficient Among the Traitssupporting

confidence: 89%

“…This character influenced grain yield per plant by its highest indirect positive effects. The same result was recently reported by Kumar et al (2017). But Sarwar et al (2015) and Hairmansis et al (2011) found positive direct effect of filled grains per panicle on yield per plant.…”

Section: Estimation Of Path Coefficientsupporting

confidence: 86%

“…The direct effect of 100 seed weight was seemed to be neutralized by its considerable indirect negative effects via days to 50% flowering, flag leaf area, number of effective tillers per hill, pollen fertility, panicle length, number of grains per panicle and number of unfilled grains per panicle. Similar result was also supported by Kumar et al (2017). If the correlation of a character with yield is negative but its direct effect is positive and high, a restricted simultaneous selection model should be followed, i.e.…”

Section: Estimation Of Path Coefficientsupporting

confidence: 69%

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Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces

Saha

Hassan

Haque

et al. 2019

J Bangladesh Agric Univ

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The presence of sufficient genetic variability, the knowledge of nature of association among different characters and relative contribution of different characters to yield is a prerequisite to any breeding programme. The aim of the present study was to estimate genetic parameters of thirteen yield and yield attributing traits in 40 landraces of rice with a view to select better yield attributes in rice. The higher value of phenotypic co-efficient of variation (PCV) compared to the corresponding genotypic coefficient of variation (GCV) for all the studied traits indicated that there was an influence of the environment. Number of unfilled grains per panicle exhibited high estimates of PCV and GCV followed by number of filled grains per panicle, number of grains per panicle, flag leaf area. High heritability coupled with high genetic advance was observed in flag leaf area, pollen fertility, number of grains per panicle and number of filled grains per panicle which reflected that the direct selection of these characters based on phenotypic expression by simple selection method for yield improvement would be more reliable Grain yield per plant showed significant and positive association with days to 50% flowering, days to maturity, flag leaf area, number of total tillers per hill, number of effective tillers per hill, pollen fertility, number of grains per panicle, number of filled grains per panicle indicating selection of these characters for yield improvement may be rewarding. Both at phenotypic and genotypic level, days to 50% flowering, flag leaf area, number of effective tillers per hill, pollen fertility, panicle length, number of grains per panicle and 100 seed weight had direct positive effect on yield per plant indicating their importance during selection in yield improvement program. Moreover, the information generated from this study, can be exploited in future rice breeding program. J. Bangladesh Agril. Univ. 17(1): 26–32, March 2019

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“…A positive correlation between desirable characters is favourable because it helps in simultaneous improvement of both the characters. Similar results were previously confirmed by Ketan and Sarkar (2014), Sohgaura et al, (2014), Dongre et al, (2014), Shrivastava et al, (2015), Yadav et al, (2015), Sameera et al, (2016), Vinoth et al, (2016), Kumar et al, (2017), Onyia et al, (2017), Shamim et al, (2017)and Pratap et al, (2018).…”

Section: Correlation Coefficient Analysissupporting

confidence: 88%

Genetic Variability, Correlation and Path Coefficient Studied for Yield and Quality Traits in JNPT Lines of Rice (Oryza sativa L.)

Rahangdale¹,

Singh²,

Koutu³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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Estimation of Genetic Variability, Correlation and Path analysis in short duration Rice Genotypes of Manipur

Cited by 10 publications

References 5 publications

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

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

Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces

Genetic Variability, Correlation and Path Coefficient Studied for Yield and Quality Traits in JNPT Lines of Rice (Oryza sativa L.)

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