Genetic Diversity in Indian Mustard [Brassica juncea (L.) Czernj &amp; Cosson] as Revealed by Agronomic Traits and RAPD Markers

Singh, K. H.; Shakya, Ritu; Thakur, Ajay Kumar; Chauhan, Deepak Kumar; Chauhan, J. S.

doi:10.1007/s40009-013-0149-8

Cited by 22 publications

(16 citation statements)

References 17 publications

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“…Thus, it indicates ample scope for further improvement through simple selection for different quantitative traits for mustard improvement. The variability in concurrence with the results of Singh et al, 2013. None of the genotypes was found to be most promising collectively for all the quantitative traits. However, some genotypes could be identified as promising for different traits ( Table 2).…”

Section: Resultssupporting

confidence: 80%

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

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This research was conducted to study the genetic relationship between eleven quantitative traits of 95 Indian mustard (Brassica juncea L.) genotypes. The experiment material was evaluated in paired rows of 4 m length at Research Area of Oilseeds Section, Department of Genetics and plant breeding, CCS HAU, Hisar during Rabi, 2017-18. All the recommended package of practices was followed to raise the healthy crop. Maximum variation was observed for seed yield per plant followed by the number of secondary branches per plant, the number of primary branches per plant, 1000-seed weight and the number of siliqua on main shoot. Correlation studies revealed that seed yield per plant was positively and significantly associated with plant height, the number of primary and secondary branches per plant, and the number of siliqua on main shoot length. Selection based on these traits would ultimately improve seed yield. Four ideal genotypes viz., DRMRIJ-14-261, DRMRIJ-15-52, DRMRIJ-15-148 and M 5 were identified for the traits such as medium maturity, the number of primary branches per plant, the number of seeds per siliqua and 1000-seed weight in this study. These genotypes can be used as source lines in breeding programme for obtaining desirable segregates. Keywords Descriptive statistics, genetic relationship and Indian mustard (Brassica juncea L.

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Section: Resultssupporting

confidence: 80%

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

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“…Low plant height is considered as desirable trait due to ease in carrying out agronomic practices; hence genotypes of cluster-III may be used as donor for this trait. Such results are in concurrence with the results of Singh et al (2013). The fourth cluster comprised of 23 genotypes from three centers (except two from IARI, New Delhi).…”

Section: Resultssupporting

confidence: 86%

“…Thus the obtained results confirmed that the use of diversity analysis is a good tool to determine the phenotypic differences among the genotypes, which agrees with the results of Crossa and Cornelius (1997);Marijanovic-Jeromela et al (2009). Similar results concerning the genetic diversity for yield and its component traits have also been reported by Singh et al (2013); Vinu et al (2013); Chandra et al (2018).…”

Section: Resultssupporting

confidence: 86%

Assessment of Genetic Diversity among Indian and Exotic Genotypes of Brassica juncea using Phenotypic Evaluation

Singh

Avtar

Mahavir

et al. 2020

IJARe

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Background: Rapeseed-mustard is one of the most important oilseed crops in India, however, its genetic diversity is barely known. A better understanding on this topic is essential for the proper utilization of genotypes in crop improvement. Methods: Present study was carried out to determine the genetic diversity among 95 diverse genotypes of Brassica juncea (L.) in paired rows of 4 m length with a spacing of 30 x 10-15 cm (row × plant). Data were recorded on 11 different agro-morphological characters. Result: All the 95 genotypes were grouped into five distinct clusters based on Manhattan dissimilarity coefficients. Amongst the five clusters, cluster V and IV had the maximum number of genotypes (35 and 23 genotypes respectively) and cluster II with least number of genotypes (three). The Manhattan dissimilarity coefficients ranged from 0.741 to 8.299. Based on the genetic dissimilarity matrix, the maximum dissimilarity (8.299) was observed between the genotypes, DRMRIJ-15-133 and M 62. Cluster III recorded for medium plant height with medium early maturity and cluster I, had maximum mean values for most of the agro-morphological traits. The present work indicated the presence of high genetic diversity among genotypes, which can be used in future breeding programmes for developing mustard cultivars and germplasm management purposes.

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“…Several genetic or phylogenetic relationships have been proposed for different taxas within B. rapa, based on morphology, geographical distribution, isozymes and different molecular markers (Zhao et al 2005). Molecular markers are more effective to detect the variability in Indian mustard (Singh et al 2013). Analysis by molecular markers help in choosing parental types for mapping populations, marker assisted selections and back crossing schemes and thus diversity studies conducted using various markers help the breeders to improve crop species.…”

Section: Introductionmentioning

confidence: 99%

Analysis of genetic diversity in oilseed brassica germplasm through ISSR markers and isozyme profiling

et al. 2020

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Eleven Brassica germplasm were characterized through the application of 12 oligonucleotide Inter Simple Sequence Repeat (ISSR) primers. A total 1248 bands were amplified through polymorphic chain reaction and were visualized by agarose gel electrophoresis. Among the amplified marker bands 71.47% were polymorphic in nature and 352 bands were found to be monomorphic. The polymorphic bands of the amplified DNAs mostly ranged between 110 bp and 3 kb. Genetic distance among the germplasm ranged between 0.0468 and 0.7189. Moreover, three isozyme systems such as esterase, acid phosphatase and peroxidase were analyzed for allozyme variability that detected distinct 93 isozyme loci of which nearly 61.9% were polymorphic. Two dendrograms were constructed based on the ISSR profiling and isozyme data obtained through electrophoresis to find out the relatedness and phylogenetic relationship among the investigating Brassica germplasm. The clusters of the phylogenetic tree revealed 4 distinct groups of Brassica based upon their ISSR banding patterns and isozyme analysis. Nei’s genetic distance analysis provided strong information about the existence of variability among the germplasm of Brassica. All the germplasm was found to be clustered according to their respective species. Brassica carinata (Ethiopian mustard) showed individuality from all the germplasm studied and made a different branch in the phylogenetic tree suggesting its diverse origin. From the clustering pattern and genetic relationship obtained with ISSR markers and isozyme analysis, breeders can successfully identify the diverse germplasm from different cluster and use them in their future breeding program.

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Genetic Diversity in Indian Mustard [Brassica juncea (L.) Czernj & Cosson] as Revealed by Agronomic Traits and RAPD Markers

Cited by 22 publications

References 17 publications

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Assessment of Genetic Diversity among Indian and Exotic Genotypes of Brassica juncea using Phenotypic Evaluation

Analysis of genetic diversity in oilseed brassica germplasm through ISSR markers and isozyme profiling

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