Morphological and Molecular Characterization of Indian Mustard Germplasm Lines

Rajpoot, Narendra Singh; Tripathi, M. K.; Tiwari, Sushma; Tomar, R. S.; Tripathi, Niraj; Sikarwar, R. S.; Tomar, S. S.

doi:10.9734/bpi/rdst/v4/2307b

Cited by 6 publications

(10 citation statements)

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“…Genotypic correlation coefficients were found to be higher than phenotypic correlation coefficients for most of the traits, signifying a substantial inherent link between several traits that was masked by environmental factors in terms of phenotypic representation. Comparable outcomes were also reported by Larik and Rajput [68], Baghel et al [40], Rajpoot et al [46], Verma et al [50] in Indian mustard.…”

Section: Resultssupporting

confidence: 77%

“…diversity among individuals or populations can be determined using morphological [33][34][35][36], biochemical [2,37,38], and molecular approaches [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]. It is now possible to quantify the magnitude of diversity among germplasm for use in breeding programme evaluation by employing biometrical methods like multivariate analysis [55] based on Mahalanobis [56], D 2 statistics, and Ward's no-hierarchical squared Euclidean distance method.…”

Section: Geneticmentioning

confidence: 99%

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Genetic Correlation and Path Coefficient Analysis of Yield Attributing Parameters in Indian Mustard

Shrivastava

Tripathi

Solanki

et al. 2023

CJAST

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Indian mustard (Brassica juncea L. Czern. & Coss) is a natural amphidiploid which is the greatest pre-dominating crop of oilseed Brassica group. A study was undertaken to estimate the genetic variability, correlation and path coefficient analysis of yield and its contributing traits in 75 mustard genotypes grown in Randomized Block Design with two replications. The analysis of variance was highly significant for all the characters investigated. All thirteen characters were showed higher values of phenotypic coefficients of variation than genotypic coefficients of variation. The higher heritability in broad sense was estimated for all the characters. High value of heritability indicates that it may be due to higher contribution of genotypic components. High heritability coupled with high genetic advance as percent of means were recorded for days to 50% flowering, plant height (cm), number(s) of secondary branches per plant, length of main raceme (cm), siliquae length (cm), seed yield per plant (g), yield per plot (g), harvest index and biological yield that indicated predominance of additive gene action in the inheritance of these traits. The higher direct positive genotypic and phenotypic correlations for the biological yield, numbers of primary branches, numbers of siliquae on main raceme and numbers of secondary branches were documented. Whereas, days to maturity and siliquae length showed direct negative correlations with grain yield. Seventy-five genotypes, included in study were grouped into 6 clusters. The maximum inter cluster D2 value indicated that genotypes of cluster III and IV are not so closely related while the genotypes of cluster I and III are closely related. It is apparent therefore; the genotypes of various clusters differ so significantly with regards to their relative genetic distance as indicated from the high variation of D2 values. This makes it clear that the genotypes included in these clusters have a wide range of genetic diversity and may be used in a mustard hybridization programme to develop higher yielding cultivars.

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Section: Resultssupporting

confidence: 77%

Section: Geneticmentioning

confidence: 99%

Genetic Correlation and Path Coefficient Analysis of Yield Attributing Parameters in Indian Mustard

Shrivastava

Tripathi

Solanki

et al. 2023

CJAST

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“…Linkage and or pleiotropy may be responsible such associations. Rajpoot et al (2022) found a significantly positive correlation between siliqua number per plant and number of seeds per siliqua. Almost similar results were obtained in the present study, as highly positive correlation was found between siliqua number and seeds per siliqua consistently at phenotypic and genotypic level (Table 3).…”

Section: Character Associationmentioning

confidence: 83%

Genetic Diversity and Yield Component Analysis in Indian Mustard [Brassica juncea (L.) Czern. and Coss.]

Saha,

Dasgupta,

Sawarkar

et al. 2024

IJARe

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Background: Researchers in Indian mustard have made minimal progress in breaking the yield barrier due to limited genetic resources. To increase productivity, a combination of molecular markers and morphological features is advised to boost productivity. The purpose of current work is to characterise polymorphic SSR markers, determine genotype variability, identify suitable parents for hybridization and understand key yield factors. Methods: In 2020-21, twenty-eight Indian mustard varieties and advance breeding materials were evaluated at Ramakrishna Mission Vivekananda Educational and Research Institute’s experimental field in Narendrapur, West Bengal, using statistical techniques to assess genetic estimates and molecular diversity using twenty identified polymorphic SSR primers out of thirty tested primers. Result: The study found that the number of siliqua per plant and primary and secondary branches are crucial yield components determined by correlation and path analysis. The high heritability of ten traits was observed. Genotypes were divided into four clusters with both Mahalanobis’s D2 and molecular diversity analysis, with 1000 seed weight and plant height showing the highest degree of divergence. But the composition of genotypes varied in two types of clusters. Ra1F09 and Ra2B02, SSR markers, showed greater PIC values and heterozygosity among the twenty polymorphic SSR primers. Hybridization between PM25 and high oil content genotypes from cluster I, such as Sanjukta Asech and Kranti, is proposed to produce segregants with high yield, oil content and early maturity.

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“…Its cultivation spans over 50 countries across Asia, Europe, America, and Australia, encompassing around 25 million hectares and yielding approximately 40 million tons collectively. India stands out as one of the largest producers of rapeseed-mustard globally (Rajpoot et al, 2022) [15] . However, the demand for vegetable oils surpasses domestic supply, with over half of the requirement being fulfilled through imports to meet the energy needs of a growing population.…”

Section: Introductionmentioning

confidence: 99%

Genetic studies of genetic variability and trait associations in mustard spp. (Brassica juncea L. & Brassica carinata A.)

Manojkumar,

Nair,

Srinivas

et al. 2024

Int. J. Res. Agron.

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Mustard is a widely cultivated oilseed crop in India, known for its high yield potential and suitability for both sole cropping and intercropping. In the rabi season of 2015-16, a study was conducted involving 64 different genotypes and six check varieties using an Alpha lattice design with three replications to assess various yield attributing traits. The findings indicated substantial genotypic and phenotypic coefficient of variation, particularly for traits such as the number of siliqua per plant and grain yield per plant. Traits like siliqua per plant and plant height showed high heritability (>60%) and significant genetic advance as a percentage of the mean (>20%), suggesting the prevalence of additive gene action. Analysis of character association revealed a positive and significant correlation between grain yield and traits like days to maturity, plant height, primary branches per plant, siliqua length, siliqua per plant, and test weight, implying the potential for simultaneous improvement of these traits alongside grain yield. Path coefficient analysis highlighted siliqua per plant as having a high direct positive effect on grain yield, with its correlation coefficient with grain yield nearly equating its direct effect. This underscores the importance of siliqua per plant as a selection criterion for enhancing mustard seed yield, suggesting a focus on this trait for further improvement.

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Morphological and Molecular Characterization of Indian Mustard Germplasm Lines

Cited by 6 publications

References 0 publications

Genetic Correlation and Path Coefficient Analysis of Yield Attributing Parameters in Indian Mustard

Genetic Correlation and Path Coefficient Analysis of Yield Attributing Parameters in Indian Mustard

Genetic Diversity and Yield Component Analysis in Indian Mustard [Brassica juncea (L.) Czern. and Coss.]

Genetic studies of genetic variability and trait associations in mustard spp. (Brassica juncea L. & Brassica carinata A.)

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