Genetic Variability, Character Association and Path Analysis for Yield and its Related Traits in Rice (Oryza sativa L.) Genotypes

Singh, SP; Singh, Pooja; Khaire, Amrutlal; Korada, Mounika; Singh, D. K.; Majhi, Prasanta Kumar; Jayasudha, S.

doi:10.9734/ijpss/2021/v33i2430799

Cited by 10 publications

(11 citation statements)

References 7 publications

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“…Other traits like biological yield per plant, plant height, and harvest index showing moderate PCV and GCV values indicated a combination of genetic and environmental influences. These findings under study are in conformity with earlier reports in the rice [42,43].…”

Section: Discussionsupporting

confidence: 94%

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Singh,

Kumar,

Gemmati

et al. 2024

Crops

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Genetic variability in rice breeding programs plays a very crucial role. It provides an outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For a greater understanding of population structure, the genetic relationship among different rice lines is indispensable prior to the setting of a correlation among dynamic alleles and traits. In the present investigation, the genetic diversity and population structure of 116 rice accessions were studied to understand genetic relatedness and diversity among them using 64 polymorphic SSR markers. A genotyping assessment based on SSR markers revealed a total of 225 alleles, with an average PIC value of 0.755. The germplasm lines were classified into three distinct subgroups through population structure analysis, utilizing both model- and distance-based approaches. AMOVA analysis showed that 11% of the total variation could be attributed to differences between groups, while the remaining 89% was likely due to differences within groups. This study suggested that population structure and genetic relatedness should be considered to establish marker–trait associations for association mapping when working with the core collection of germplasm lines.

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Section: Discussionsupporting

confidence: 94%

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Singh,

Kumar,

Gemmati

et al. 2024

Crops

View full text Add to dashboard Cite

show abstract

“…Other traits showed moderate PCV and GCV, suggesting a combination of genetic and environmental influences. Findings under study are in conformity with earlier researchers in the rice crops [43,44].…”

Section: Genetic Differentiation Analysissupporting

confidence: 91%

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Singh,

Kumar,

Gemmati

et al. 2024

Preprint

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Genetic variability in rice breeding program plays the very crucial role. It provides outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For the understanding of population structure and genetic relationship among the different rice lines is indispensable prior to setting of correlation among dynamic alleles and traits. In the present investigation, genetic diversity and population structure of 116 rice accessions by using 64 polymorphic SSR markers was targeted for the evaluation of the genetic relatedness and diversity. Genotyping assessment based on SSR markers revealed a total of 225 alleles, with an average PIC value of 0.755. The germplasm lines were classified into three distinct subgroups through population structure analysis, utilizing both model and distance-based approaches. AMOVA analysis showed that 11% of the total variation could be attributed to differences between groups, while the remaining 89% of the variation was likely due to differences within groups. The study suggests that the population structure and genetic relatedness should be considered when working with the core collection of 116 rice germplasm lines for association mapping, aiming to establish marker-trait associations.

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“…The estimated heritability helps the plant breeder select elite genotypes from diverse genetic populations. Hence, prior knowledge about the heritability of traits is a prerequisite for the selection program (Singh et al, 2011). Broad-sense heritability explains both fixable (additive) and non-fixable (dominant and epistatic) variances, which helps estimate the inheritance of a character (Nirmaladevi et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Characterization and Genetic Analysis of the Selected Rice Mutant Populations

CHOWDHURY¹,

ISLAM²,

MIM³

et al. 2023

SABRAOJBG

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The development of mutant populations, followed by their characterization, offers a significant opportunity to isolate genotypes and genes with desired traits of interest. This paper assessed the agronomic performance, genetic variability, and yield-related characteristics of 22 M3 generation mutants (gamma ray-irradiated) of rice derived from a promising local rice genotype (Fatema dhan). The seeds of the selected mutants, the original parent, and three cultivars were grown in a randomized complete block design at the research farm of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh. Few mutants exhibited superior quantitative phenotypic traits compared with parental genotypes and check varieties. Mutant lines 1 and 83 required minimum days to reach maturity, and mutant lines 9, 17, and 80 exhibited significantly higher yield per plant than the parent and check varieties. Heritability analysis and genetic parameters revealed that genetic components mostly controlled all observed traits, with a minor influence on the environment. The higher phenotypic and genotypic coefficient of variation, heritability, and genetic gain confirmed possible rice yield improvement through phenotypic selection. The traits, including days to first flowering and maturity, plant height, and panicle length, showed a significant positive correlation with yield. The principal component analysis revealed that the first two components explained 69% of the total variation between genotypes. Thus, the promising mutant lines (1, 9, 17, 80, and 83) isolated in this study can serve for the development of high-yielding and early-maturing rice varieties.

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Genetic Variability, Character Association and Path Analysis for Yield and its Related Traits in Rice (Oryza sativa L.) Genotypes

Cited by 10 publications

References 7 publications

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers

Characterization and Genetic Analysis of the Selected Rice Mutant Populations

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