Genetic Divergence for Yield and other Quantitative  Traits in Rice (Oryza sativa L.)

vani, Shi; Dwivedi, D. K.; Husain, Raja; Kumar, Girjesh; Khan, Najibullah

doi:10.20546/ijcmas.2018.701.146

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…Parents belonging to cluster II were found promising for high grain iron and zinc content; therefore, these can be utilized in breeding programs for the improvement of nutritional quality of grains. Selection of genotypes based on cluster mean for the better exploitation of genetic potential was also reported by Perween et al [22], Rathod et al [23], Radha et al [24] and Shivani et al [25]. The maximum intra cluster distance was observed in cluster II followed by cluster I indicating differences in genotypes within cluster.…”

Section: Discussionsupporting

confidence: 58%

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

Kumar

Singh

et al. 2021

IJECC

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The present investigation was carried out including 10 parents and their 45 half diallel crosses with the objective to study the relationship between heterosis and diverse genotype. The Mahalonobis D2values resulted in grouping of 10 parents into 3 clusters. Cluster I was comprised of four genotypes, cluster II comprised of five genotypes while, cluster III was found monogenotypic. Cluster II and Cluster III had maximum mean values for 4 traits. Highest intercluster distance was also observed in these 2 cluster followed by cluster I and III . Maximum intra cluster distance was observed in cluster II followed by cluster I. The highest contribution in the manifestation of total genetic divergence was exhibited by grain iron content followed by grain zinc content. The relationship between parental diversity and heterosis indicated that majority of crosses belong to moderate divergence class. The cross P4×P5 exhibiting better parent heterosis for maximum traits also exhibited at par mean performance for 5 traits including grain yield per plant over the better parent. For grain zinc content, two crosses from high and low while, nine crosses from moderate divergence classes reported positive significant heterosis and SCA effects. For grain iron content, 1 cross with high, 2 crosses with moderate while four crosses with low divergence classes reported significantly positive heterosis and SCA effects.

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Section: Discussionsupporting

confidence: 58%

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

Kumar

Singh

et al. 2021

IJECC

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“…In the present investigation the genotypes were grouped into 6 clusters ( Shivani et al, (2018), Kumari et al, (2018) and Guru et al, (2017). The inter cluster distance (Table 2) ranged from 52.38 to 282.49.…”

Section: Resultsmentioning

confidence: 63%

“…Minimum inter cluster distance was observed between cluster ΙΙ and cluster ΙV followed by cluster ΙΙ and cluster V, indicating that the genotypes in the clusters were closely related. Similar divergence estimation based on D 2 distances was done by Shivani et al, (2018) and Kumari et al, (2018).…”

Section: Resultsmentioning

confidence: 86%

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Study of Genetic Divergence in Lowland Rice Genotypes of Bihar

Kushwaha¹,

Kant²,

Kumar³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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“…The quantification of the degree of divergence in a given experimental materials of immense value in the identification of divergent genotypes for future use in hybridization to create new variability. Mahalanobis D 2 statistic has been proven to be powerful tool for the plant breeder in selecting the right type of parents among the genotypes having wider variability for different traits (Shivani et al, 2018). Multivariate analysis tools such as principal component analysis (PCA) has been reported to be effective for evaluating the phenotypic diversity in addition to identifying genetically distant clusters of genotypes and selecting important traits contributing to the total variation in the genotypes.…”

Section: Issn: 2319-7706 Volume 9 Number 11 (2020)mentioning

confidence: 99%

Genetic Diversity and Principal Component Analysis for Yield and Nutritional Traits in Rice (Oryza sativa L.)

Rao¹,

Roja²,

Rao³

2020

Int.J.Curr.Microbiol.App.Sci

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Pancharatna Kamanpur (Village), Peddapalli (District), Telangana 20 Parimalasanna Gummakonda (Village), Nagarkurnool (District), Telangana 21 Pathariya Gummakonda (Village), Nagarkurnool (District), Telangana. 22 Poongar Kamanpur (Village), Peddapalli (District), Telangana 23 Ramsri Gummakonda (Village), Nagarkurnool (District), Telangana 24 Ramyagali Kamanpur (Village), Peddapalli (District), Telangana 25 Ranikanda Kamanpur (Village), Peddapalli (District), Telangana.

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Genetic Divergence for Yield and other Quantitative Traits in Rice (Oryza sativa L.)

Cited by 9 publications

References 2 publications

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

Study of Genetic Divergence in Lowland Rice Genotypes of Bihar

Genetic Diversity and Principal Component Analysis for Yield and Nutritional Traits in Rice (Oryza sativa L.)

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