Genetic Divergence Analysis in Indian mustard (Brassica juncea L.)

Singh, S. N.; Dwivedi, Ajeet Kumar; tosh, Ashu; Kumar, Omesh; Kumar, Kamlesh

doi:10.20546/ijcmas.2018.706.296

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…The clusters I, IV, V, VII, VIII and IX comprised 4, 18, 9, 4, 3 and 3 lines, respectively. Similar results were obtained by Doddabhimappa et al (2010), Singh (2012) and Neeru et al (2015).…”

Section: Resultssupporting

confidence: 90%

Evaluation and diversity analysis in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm accessions on the basis of principal component analysis

Avtar

Manmohan

Jattan

et al. 2017

JANS

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Principal component analysis was carried out with 20 morphological traits (including quantitative as well as qualitative) among 96 germplasm lines of Indian mustard [Brassica juncea (L.) Czern & Coss.]. Principal factor analysis led to the identification of eight principal components (PCs) which explained about 70.41% variability. The first principal component (PC1) explained 16.21% of the total variation. The remaining PC's explained progressively lesser and lesser of the total variation. Varimax Rotation enabled loading of similar type of variables on a common principal factor (PF) permitting to designate them as yield factor, maturity factor and oil factor etc. Based on PF scores and cluster mean values the germplasm accessions viz., RC2, RC32 and RC51 (cluster I), RC95 and RC96 (cluster X) were found superior for seed yield/plant and yield related factors like primary and secondary branches/plant; while the accessions RC34, RC185 and RC195 (cluster III) and RC53 (cluster VIII) were found superior for oil content. These accessions may further be utilized in breeding programmes for evolving mustard varieties having high seed yield and oil content. Hierarchical cluster analysis resulted into ten clusters containing two to 26 accessions. The results of cluster and principal factor analyses were in confirmation of each other.

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Section: Resultssupporting

confidence: 90%

Evaluation and diversity analysis in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm accessions on the basis of principal component analysis

Avtar

Manmohan

Jattan

et al. 2017

JANS

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“…This clustering pattern suggests that interspecific diversity does not necessarily represent genetic diversity; this might be due to free exchange of genetic material among different species and also due to natural and artificial selection forces resulting in perpetuation and stabilization of similar genotypes. These results were in agreement with the results reported earlier by Budhanwar et al, (2010), Belete et al, (2011), andSingh (2012), Doddabhimappa et al, (2010), Singh (2012, Neeru et al, (2015) and Avtar et al, (2017).…”

Section: Principal Component Analysis Indicated That Only First Four Principal Components (Pcs)supporting

confidence: 93%

“…Alemayehu and Becker (2002) found that both principal component and cluster analyses disclosed complex relationships among the Ethiopian mustard (Brassica carinata A. Braun) accessions and characters. Similar results were reported by Singh (2012), Zaman et al, (2010), Singh et al, (2010, Avtar et al, (2017) and Nerru et al, (2015).…”

Section: Principal Component Analysis Indicated That Only First Four Principal Components (Pcs)supporting

confidence: 88%

Assessment of Genetic Diversity in Thirty-Five Genotypes of Oilseed Brassica Species using Principal Component Analysis

Gupta¹,

Sharma²,

Singh³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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“…The result obtained under present investigation accordance with earlier report that Shweta Om Prakash [6], Ompal et al [7], Gupta et al [8], Kumar et al [9], Singh, J. [10].…”

Section: Path Coefficient Analysissupporting

confidence: 92%

Path and Genetic Divergence Analysis of Mustard [Brassica juncea (L.) Czern & Coss.] Genotypes

Gupta,

Yaduvanshi

et al. 2024

JEAI

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The present investigation consisting of seeds of 72 genotypes with 3 check varieties (Varuna, Kranti, NDR-8501) were used for experimentation under Augmented Block Design in Indian mustard germplasm/genotypes was carried out during 2019-20 on the Student Instructional Farm Acharya Narendra Deva University of Agriculture & Technology Kumarganj Ayodhya (U.P.) India. The characters studies were Days to 50 % flowering, Days to maturity, Plant height (cm), Number of primary branches/plants, Number of secondary branches/plants, Length of main raceme (cm), Number of silique in main raceme, Number of seeds/siliquae, 1000-seed weight (g) and Seed yield/plant (g). The highest positive direct effect on seed yield per plant exhibited by 1000 seed weight (0.2512) followed by length of main raceme (0.2189), the highest positive indirect effect on seed yield per plant was exhibited length on main raceme (0.0477) via seed pre-silique fallowed by the number of siliquae on main raceme (0.0332) via secondary branches per plant. The maximum intra-cluster distance was estimated in case of Cluster VI (2.652) followed by cluster I (2.520), Cluster IV (2.352), cluster III (2.329), cluster VIII (2.148). The highest inter-cluster distance was observed between cluster IV and VI (4.417) followed by cluster III and VI (4.270), VI and VIII (4.251), cluster I and VII (4.156). The maximum cluster mean was found in cluster I (9.21) for seed yield per plant followed by cluster III (8.67) and cluster VII (8.50).

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Genetic Divergence Analysis in Indian mustard (Brassica juncea L.)

Cited by 4 publications

References 1 publication

Evaluation and diversity analysis in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm accessions on the basis of principal component analysis

Evaluation and diversity analysis in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm accessions on the basis of principal component analysis

Assessment of Genetic Diversity in Thirty-Five Genotypes of Oilseed Brassica Species using Principal Component Analysis

Path and Genetic Divergence Analysis of Mustard [Brassica juncea (L.) Czern & Coss.] Genotypes

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