Assessment of genetic variability, correlation and path analysis for yield and related traits in elite rice (Oryza sativa L.) germplasm

Sunanda, T; Bg, Suresh; Lavanya, G. R.; Ram, Baldev

doi:10.22271/chemi.2021.v9.i1c.11235

Cited by 3 publications

(2 citation statements)

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“…Biological yield had positive indirect effect on all the quantitative parameters except harvest index. [18][19] and have also exerted biological yield per hill as most important yield contributing traits which merit due consideration at the time of selection strategy aimed at developing high yielding varieties in rice.…”

Section: Resultsmentioning

confidence: 99%

“…Rice gives 21% of worldwide human per capita energy and 15% of per capital protein [1]. The current global population of 7.7 billion is expected to reach 9.7 billion by 2050 (Department of Economics and Social Affairs-2018- 19) [2]. Globally rice is cultivated now on 166.5 million hectares with annual production if around 760 million tones and average productivity of 2.65 tons/ha (Food and Agriculture Organization, 2018).In India the production of rice was 116.42 Million tons from 43.79 million ha of area and it stands in second position in the world production after china.…”

Section: Introductionmentioning

confidence: 99%

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Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

Reddy

Lal

Pragathi

et al. 2021

IJPSS

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The study was carried out to study the correlation and path coefficient analysis for grain yield characters in 36 rice genotypes including one check for 13 quantitative parameters. The experimental material was carried out during Kharif, 2020, in a randomized block design with three replications obtained from the Department of Genetics and Plant Breeding, SHUATS, Allahabad, U.P., India. Analysis of variance revealed that there is significant variability among the genotypes. Correlation coefficient analysis at genotype level and phenotypic level revealed that plant height, flag leaf length, flag leaf width, number of tillers per hill, number of panicles per hill, number of spikelets per panicle, biological yield, and harvest index, showed positive significant correlation with grain yield per plant. Path coefficient analysis at both genotypic and phenotypic levels revealed that flag leaf length, number of panicles per hill, days to maturity, biological yield, harvest index and test weight had positive direct effect on grain yield per hill. Biological yield per hill (0.8481) exerted high positive direct effect as well as high positive significant association (0.809**) with grain yield per hill thus this character resulted as most essential direct yield character.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

Reddy

Lal

Pragathi

et al. 2021

IJPSS

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Phenotypic assessment of rice landraces for genetic variability and diversity studies under heat stress

Lavanya

Suman

Fiyaz

et al. 2022

Oryza

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The present investigation was carried out to estimate the genotypic and phenotypic variability, heritability, genetic advance and divergence based on heat stress and yield associated traits using 48 landraces of rice grown during rabi 2016 and 2017 at ICAR-Indian Institute of Rice Research farm, Hyderabad. ANOVA revealed the existence of significant differences for all the traits under study. Phenotypic coefficient of variation (PCV) was found slightly elevated than the genotypic coefficient of variation (GCV). All the characters under study except time to maturity exhibited high heritability coupled with high genetic advance as a per cent of mean, which revealed the predominance of additive gene action in controlling these traits. Cluster analysis grouped the 48 landraces into ten distinct clusters. Cluster I consisted of one landrace, while cluster II and III had 9 landraces each. Clusters IV, V, VI, VII, VIII, IX and X had 6, 2, 3, 3, 1, 6 and 8 landraces respectively. Cluster I included one landrace Byama Jhupi which was superior for the trait number of grains per panicle. Highest single plant yield (Mugei), fertility percentage (Neta) and time of heading (Neta) were recorded by entries of cluster II and highest panicle number per plant was recorded by landrace (Chiiti Mutyalu) of cluster IX. The genotypes of cluster II, VIII and IX showed high spikelet fertility percentage. Hence the genetic resources of these clusters can be utilized in the breeding programmes for development of heat tolerant varieties. The study helped to understand the extent of genetic diversity among the genetic resources which serve as a treasure of highly useful traits which can be exploited in developing high yielding and stress tolerant varieties.

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Genetic diversity of indigenous aromatic rices of Odisha and its use for economic development of rural poor

Das

Kar²,

Pattanaik

2023

Oryza

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Assessment of genetic variability, correlation and path analysis for yield and related traits in elite rice (Oryza sativa L.) germplasm

Cited by 3 publications

References 0 publications

Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

Phenotypic assessment of rice landraces for genetic variability and diversity studies under heat stress

Genetic diversity of indigenous aromatic rices of Odisha and its use for economic development of rural poor

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