Genetic diversity analysis in Indian mustard (<i>Brassica juncea</i> L. Czern and Coss) genotypes using agro-morphological parameters

Devi, Th. Renuka; Devi, N. Devshini; Vivekananda, Yaikhom; Sharma, Priyanka

doi:10.5958/0975-928x.2017.00139.9

Cited by 13 publications

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“…The analysis of variance indicated that the mean sum of squares due to genotypes were highly significant at 1% and 5% levels for all the traits except for four traits number of primary branches, number of secondary branches, length of siliqua and 1000 seeds weight (g) (Table2). Similar results were also obtained by [11][12][13][14] in which analysis of variance showed significant differences for all the characters under their study.…”

Section: Resultssupporting

confidence: 89%

Variability, Correlation, Path Coefficient and Genetic Diversity Analysis in Indian Mustard

Akkenapally

Chetariya

2022

IJECC

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Phenotypic and genotypic coefficient of variation (PCV & GCV), heritability, genetic advance (GA), correlation, path and diversity analysis for fourteen characters in twenty-five genotypes of Indian mustard (Brassica juncea L.) were evaluated for seed yield and thirteen other yield contributing traits. Genetic variability indicated that, the PCV was greater than GCV for all the traits studied was majorly due to the influence of environment. High heritability along with high genetic advance as percent of mean were recorded for plant height, number of primary branches per plant, number of secondary branches per plant, length of main raceme, number of siliqua on main raceme, number of siliqua per plant, 1000 seed weight, biological yield per plant, seed yield per plant and harvest index, Indicating the breeding improvement through direct selection. In correlation analysis, seed yield per plant had significant and positive correlation with number of primary branches per plant, number of secondary branches, number of siliqua on main raceme, number of siliqua per plant, length of siliqua, number of seeds per siliqua, 1000 seed weight, biological yield per plant and harvest index at both genotypic and phenotypic levels. Path coefficient analysis indicated that, the highest positive direct effects was noted for days to 50% flowering, plant height, number of siliqua per plant, number of seeds per siliqua, length of main raceme, number of primary branches per plant, 1000 seed weight, biological yield per plant, harvest index. Therefore, these traits should be given more priority for selection in breeding programme. Genetic divergence assessed using D2 statistics for characters enabled grouping of all the genotypes in six clusters. Diversity among the clusters varied from 9.67 to 24.03 inter-cluster distances, cluster II and V showed maximum inter cluster distance followed by that between cluster V and VI. The genotypes falling in these clusters could be utilized for hybridization programme in Indian mustard.

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Section: Resultssupporting

confidence: 89%

Variability, Correlation, Path Coefficient and Genetic Diversity Analysis in Indian Mustard

Akkenapally

Chetariya

2022

IJECC

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“…days to 50% flowering, days to maturity, plant height, length main raceme, number of siliquae on main raceme, number of siliquae per plant, number of seeds per siliqua, biological yield per plant, seed yield per plant and harvest index which signified that genotype is highly variable for the observed traits. Similar results were also obtained by [10,11,12] and [13] in which analysis of variance showed significant differences for all the characters under their study.…”

Section: Resultssupporting

confidence: 89%

Studies on Genetic Variability and Divergence in Mustard (Brassica Juncea L.).

Reddy

Shrivastav

2022

IJPSS

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The purpose of the research is to study Genetic Variability, Divergence and correlation studies on 20 genotypes of mustard The phenotypic coefficient of variation was greater than genotypic coefficient of variation for all the traits. The high magnitude of both coefficients was recorded in case of number of primary number, secondary, number of siliquae per plant, seed yield per plant and harvesting index. High heritability with high genetic advance was recorded for number of primary branches, number of secondary branches, length of main raceme, number of siliquae in main raceme, number of siliqua per plant, number of seeds per siliquae, biological yield, 1000 seed weight, seed yield per plant and harvesting index. In the present findings the significant phenotypic correlation of seed yield per plant were found positive for the characters Days to 50% flowering, plant height, number of primary branches, number of secondary branches, length of main raceme, number of siliqua per plant, length of siliqua, number of seeds per siliqua, harvesting index and seed yield per plant showed positive significant correlation with seed yield per plant. The path coefficient analysis of different characters revealed that highest positive direct effect on seed yield per plant per plant was exerted by harvest index per plant followed by biological yield and negative direct effect on seed yield / plant was exhibited by number of siliqua per plant followed by length of siliqua, days to 50% flowering, number of secondary and number of primary branches. Diversity among clusters varied from 11.87 to 33.28.The highest intra-cluster distance was recorded in cluster II The genotypes falling in these clusters could be utilized for hybridization programme in Indian mustard.

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“…Genotypes of different groups tend to be more distant and diverse from each other. Therefore, trait specific genotypes of different origin from different clusters can be selected for their utilization in mustard breeding programme (Devi et al, 2017;Tudu et al, 2018). However, in our study genetic diversity analysis based on morphological traits helped in identification and selection of trait specific diverse genotypes from different groups.…”

Section: Genetic Diversity Analysismentioning

confidence: 99%

Variability and genetic diversity study based on agro-morphological traits in a diverse set of Indian mustard [Brassica juncea (L.) Czern. & Coss.] germplasm

Sharma¹,

Kumar²,

Singh³

et al. 2021

JEB

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Aim: The present investigation was designed to evaluate 150 diverse germplasm of Indian mustard along with five checks for seed yield and attributing traits. Methodology: A total of 150 genotypes of Indian mustard were evaluated in Augmented Block Design along with five check cultivars (Kranti, Maya, Pusa Bold, NPJ-112, RGN 73) in five blocks. Data were collected for 16 different quantitative traits on each genotype. Results: ANOVA revealed significant differences between genotypes for all traits studied. Seed yield plant-1 had significant and positive correlation with most of the yield contributing traits. For seed yield/plant, 15 accessions (DRMR-1722, BDJ-I-538, DRMR-4, JMG-113, DRMR-681, DRMR-1849, DRMR-1697, DRMR-1610, DRMR-1996, DRMR-107, DRMR-1588, DRMR-1379, DRMR-1995, IB-26, DRMR-2116) were significantly superior over best check. Interpretation: The present study was found useful for identification of diverse genotypes of Indian mustard for different yield attributing traits. The promising lines will be utilized in Indian mustard breeding for improving seed yield and oil content.

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Genetic diversity analysis in Indian mustard (Brassica juncea L. Czern and Coss) genotypes using agro-morphological parameters

Cited by 13 publications

References 0 publications

Variability, Correlation, Path Coefficient and Genetic Diversity Analysis in Indian Mustard

Variability, Correlation, Path Coefficient and Genetic Diversity Analysis in Indian Mustard

Studies on Genetic Variability and Divergence in Mustard (Brassica Juncea L.).

Variability and genetic diversity study based on agro-morphological traits in a diverse set of Indian mustard [Brassica juncea (L.) Czern. & Coss.] germplasm

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