Cause and effect analysis for yield and grain quality traits in rice (<i>Oryza sativa</i> L.)

Hemalatha, M.; Aananthi, N.; Suresh, R.; Sassikumar, D.

doi:10.5958/0975-928x.2018.00151.5

Cited by 3 publications

(4 citation statements)

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“…It expressed positive indirect contribution through days to 50% flowering (0.1197) plant height (0.0868), panicle length (0.0766), number of grains per panicle (0.1397), L/B ratio (0.1584), hulling percentage (0.0399) and milling percentage (0.1011) and negative indirect contribution through number of productive tillers per plant (-0.0426), 1000 grain weight (-0.1414), kernel length (-0.0143) and kernel breadth (-0.1754). These results are in agreement with the findings of Premkumar et al [29], Devi et al [3], Hemalatha et al [33] and Naik et al [31].…”

Section: Resultssupporting

confidence: 93%

“…It expressed positive indirect contribution through number of productive tillers per plant (0.1273), 1000-grain weight (0.2099) and kernel breadth (0.6821) and negative indirect contribution through 50% flowering (-0.4010), plant height (-0.2034), panicle length (-0.5111), number of grains per panicle (-0.1233), kernel length (-0.4932), hulling percentage (-0.1181), milling percentage (-0.2219) and head rice recovery (-0.5759). These results are similar with the earlier findings of Lakshmi et al [16], Dhurai et al [35], Meena et al [36], Devi et al [3] and Priya et al [23], Hemalatha et al [33] and Kiran et al [27].…”

Section: Resultssupporting

confidence: 93%

“…It expressed positive indirect contribution through, number of productive tillers per plant (0.0438), kernel length (0.3608), and kernel breadth (0.4552) and negative indirect contribution through days to 50 per cent flowering (-0.2204), plant height (-0.1173), panicle length (-0.0402), number of grains per panicle (-0.3306), L/B ratio (-0.1290), hulling percentage (-0.1736), milling percentage (-0.1189) and head rice recovery (-0.3159). Nikhil et al [15], Lakshmi et al [16], Kishore et al [32], Sarwar et al [2], Prakash et al [18], Hemalatha et al [33], Kiranmayee et al [19], Arulmozhi et al [34] and Singh et al [24] also reported similar results.…”

Section: Resultsmentioning

confidence: 69%

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Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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The current research was conducted with an objective to study the correlation between different traits and path coefficient analysis in rice. Four CMS lines were crossed with eight elite restorers in a Line × Tester design and the resultant 32 hybrids were evaluated along with the parents and two checks in a randomized block design with three replications during the rabi season of 2022. The data was collected on 13 quantitative characters. The results revealed that there is a significant variability in the material studied. The character association studies indicated that the trait, grain yield per plant had significant positive genotypic correlation with panicle length, number of productive tillers per plant, number of grains per panicle, 1000 grain weight, 50% flowering, plant height, kernel length, kernel breadth and head rice recovery. The path analysis studies revealed that panicle length was the major contributor for grain yield per plant followed by plant height, number of grains per panicle, days to 50% flowering, 1000-grain weight, kernel length, number of productive tillers per plant, head rice recovery and kernel breadth. These characters showed direct positive effects for grain yield per plant. The above characters can be used directly as the selection criteria in rice yield improvement programmes.

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Section: Resultssupporting

confidence: 93%

Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 69%

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Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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“…There are known works on the assessment of phenotypic and genotypic variation, correlation of rice grain quality traits [1,2,3,4]. One of the important goals in plant breeding programs in Iran is the development and production of high quality genotypes, including study of the correlation of rice grain quality traits in breeding samples [5].…”

Section: Introductionmentioning

confidence: 99%

Variation of rice varieties of Russian breeding by grain quality traits in growing conditions of agrolandscape zones of Krasnodar region

et al. 2020

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The technological grain quality traits of varieties of the Federal Scientific Rice Centre (Rapan., Rapan 2, Favorit, Nautilus, Yakhont, Olimp, Patriot) grown in the old-delta and valley agrolandscape zones of Krasnodar region (Russia) in 2017–2019 were studied. The studied rice varieties are included in the State register of breeding achievements approved for use in the North Caucasus region in 2014-2019, Rapan 2 is under state variety testing. Most of the varieties under study showed the highest values of grain quality traits in the valley agrolandscape in 2019, in the old-delta - in 2018, which indicates the reaction of the varieties to agroclimatic conditions of vegetation. The best varieties for grain quality on the basis of low variability in the aggregate of all quality traits were recognized as Favorit for the valley agrolandscape zone of Krasnodar region (predecessor – fallow field), and Rapan 2 for the old delta agrolandscape zone (predecessor - winter wheat). According to the absolute values of the traits characterizing the yield and milled rice quality, the best variety in the valley agrolandscape was Yakhont, and in the old-delta, Nautilus. The placement of rice varieties in agrolandscape zones of Krasnodar region is recommended taking into account their reaction to agroclimatic conditions of cultivation.

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Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

Vennela¹,

Srinivas²,

Reddy³

et al. 2021

IJBSM

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The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality varieties. The result from the study revealed that all the nineteen characters studied has shown a great range of variation for correlation and path analysis. The character association studies in this experiment revealed that the trait grain yield plant-1 had showed significant positive correlation with plant height, spikelet fertility, 1000 grain weight, milling %, hulling %, kernel length and kernel breadth whereas it showed negative and non-significant association with days to 50% flowering. The path analysis studies revealed that kernel length was the major contributor for grain yield plant-1 followed by plant height, spikelet fertility, number of grains per panicle, 1000 grain weight, milling %, gel consistency, amylose content and alkali spreading value. These characters showed direct positive effects for grain yield plant-1. From the study it can be concluded that the above characters can be used directly as the selection criteria in any rice yield improvement breeding programmes.

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Cause and effect analysis for yield and grain quality traits in rice (Oryza sativa L.)

Cited by 3 publications

References 0 publications

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Variation of rice varieties of Russian breeding by grain quality traits in growing conditions of agrolandscape zones of Krasnodar region

Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

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